Tag: Digital PR

  • Credibility-First Link Building: How We Earn Lasting Authority

    Credibility-First Link Building: How We Earn Lasting Authority

    Link building for lasting brand authority

    At Resolve, we define link building for legitimacy as earning authoritative backlinks, brand mentions, and media coverage that demonstrate trust, expertise, and credibility to search engines and AI systems. Instead of chasing link volume, we use digital PR, original research, thought leadership, and journalist relationships to earn genuine editorial citations. These are the authority signals behind Google’s E-E-A-T framework, and they can help us appear in AI Overviews, earn citations from large language models, and build visibility that survives ranking swings.

    We believe a little competition is healthy. It challenges us, sharpens our thinking, and pushes us to pursue bigger and better results.

    However, today’s search environment is changing faster than ever. Large language models, AI-generated answers, and frequent algorithm updates are reshaping how people find information, making it increasingly difficult for us to rely on yesterday’s playbook.

    The metrics we once used to keep brands afloat — traffic, domain authority increases, and keyword rankings — no longer define SEO success on their own. We can reach the top of a search results page and still see very few conversions.

    If we continue chasing those numbers in isolation, we risk being left behind. We have to adapt.

    We now widen our view to the outcomes that matter most: trust and brand authority. Unlike a temporary ranking or traffic spike, trust and authority are not earned quickly or easily.

    We need time to spread the word about our brand, and we need even more time to prove that people can rely on us. Once we establish that trust, however, it becomes much harder to dislodge.

    An algorithm update can cut our traffic overnight. It cannot erase genuine trust overnight.

    Our challenge is learning how to build trust and strengthen our brand while every competitor is trying to do the same. We also need meaningful ways to measure concepts that can initially seem difficult to quantify.

    We have found that the answers involve some nuance, but they are simpler than they appear. The process begins with a shift in perspective.

    For years, we treated link building like a popularity contest. The site that collected the most votes, in the form of backlinks, was often rewarded with a prominent position in the search results.

    Infographic showing 86% of journalists use PR-pitched stories, 54% rarely answer pitches, and 61% of Gen Z use generative AI instead of Google.
    Relevance and trust beat volume: 86% of journalists use at least some PR-pitched stories, yet 54% seldom respond, while 61% of Gen Z turn to generative AI instead of Google.

    Over time, Google and other search engines updated their algorithms to improve the search experience. With each change, Google cracked down on more sites that tried to manipulate the system with backlink volume instead of earning links with real editorial and audience value. Countless sites lost traffic, and many still feel the effects.

    Today, we see Google place more emphasis on relevance, industry trust, and authority. That helps explain why a familiar brand can attract more searchers than a smaller competitor even when both publish similar content and target similar keywords.

    Large language models and Google’s AI Overviews have widened this divide. These systems can use retrieval-augmented generation, or RAG, to retrieve relevant sources, often favoring authoritative publications and proprietary information. If we merely repeat a statistic already cited by a top-tier publication, an AI system may choose the better-known source to reduce the risk of spreading inaccurate information.

    We also see younger searchers moving toward AI tools. In a 2025 Resolve study, 61% of Gen Z respondents said they used generative AI instead of Google.

    None of this means every form of link building looks like spam to Google or an LLM. It means we need backlinks to work alongside a broader set of authority signals.

    When publications and journalists cite our brand, they signal authority. When we publish original content and proprietary data, we signal authority. When we create useful graphics and informative videos, we signal authority again.

    Once Google and AI systems recognize these signals, the backlinks supporting them become meaningful votes of confidence. Our site may then be more likely to rank prominently, appear in AI Overviews, and receive citations in LLM-generated answers.

    How we use E-E-A-T in a competitive search environment

    In 2018, Google updated its quality-rater guidance to place greater focus on expertise, authoritativeness, and trustworthiness, commonly shortened to E-A-T. In 2022, Google added another E for experience. Together, these qualities provide a framework for understanding how Google considers credibility and legitimacy.

    • Experience: We demonstrate that an author has personally engaged with the subject. Examples include a forum where people describe testing a product or a gardener documenting firsthand pest-prevention trials.
    • Expertise: We show that the author has relevant knowledge, qualifications, or credentials supporting the information and advice.
    • Authoritativeness: We earn recognition from credible sources and industry voices that cite or link to our work, helping establish us as a respected participant in the field.
    • Trustworthiness: We remain transparent, accurate, and honest. We avoid deceiving readers or using manipulative link-building practices.

    We apply E-E-A-T both on and off the page. Author biographies can demonstrate expertise, while accurate sourcing can demonstrate trustworthiness. Off the page, we strengthen E-E-A-T signals through the quality of the sites that link to us and the journalists who rely on us as a source. Both dimensions influence how search engines assess whether our information is useful, accurate, and credible.

    If we consistently earn backlinks from dozens of irrelevant websites, that pattern can look like a low-quality or manufactured signal. If several respected journalists mention our brand because we published a valuable study, those mentions are much more likely to function as genuine votes of confidence.

    Infographic comparing vanity SEO metrics like traffic and backlinks with durable authority metrics such as media placements, conversions and branded search.
    Move beyond fragile SEO numbers. This side-by-side graphic shows how earned media, branded searches, industry citations and conversions build authority that can survive algorithm updates.

    For us, link quantity is no longer a reliable proxy for legitimacy. We look for backlinks that demonstrate real relevance and value.

    We cannot earn those links half-heartedly. We need a coordinated strategy that strengthens credibility both on and off our site.

    The off-page SEO tactics we use to demonstrate value

    When we ask how to earn links that search engines and LLMs will treat as signs of trust, we do not look for a single outreach tactic. Strong links usually emerge from several activities that we sustain over time.

    We create genuinely linkable assets

    To prove that people genuinely want to reference our site, we first create content worth referencing. If we are accustomed to quick and easy links, this may require a larger investment in content than we have made before. A routine how-to article or listicle is rarely enough by itself.

    We define linkable content as something journalists, publishers, and readers find distinctive and useful — something they have not already encountered dozens of times. We often draw from the following content formats.

    • Original data and proprietary research: We publish information people cannot find elsewhere. In a crowded search environment, that means conducting original research rather than recycling familiar statistics. When a journalist needs a statistic and our site is the primary source, we can earn a natural backlink.
    • Thought leadership and expert commentary: We share an original perspective from a credible expert within our organization, giving publishers a useful idea or quotation they may cite in future coverage.
    • Authoritative long-form guides: We answer the main question thoroughly and anticipate the follow-up questions a reader is likely to ask. This depth can help us earn links as audiences move further into their research.
    • Engaging visuals and infographics: We invest in visual assets that make complex information easier to understand and share. Ahrefs found that YouTube mentions strongly correlated with inclusion in AI Overviews. Videos can be especially valuable, but informative infographics also give publishers a useful visual for their own audiences.

    These formats demand more time, effort, and money, but we have found that they are often more sustainable than disposable content. They help us earn credible editorial citations and build industry authority that is more resilient to algorithm updates.

    We connect link building with digital PR

    We place digital PR at the center of authority building because it connects brand development with link acquisition. It helps us earn coverage, attract links, and introduce our organization to new audiences through credible journalists. Those are precisely the kinds of signals search engines can consider when assessing legitimacy.

    Unlike traditional PR, our digital PR work focuses on online coverage and backlinks from news organizations and media outlets. We create useful assets or proprietary data, identify the journalists most likely to care, and pitch stories that fit their established beats.

    Many of these publications carry significant influence and reach large audiences that can introduce our brand to more people. When a highly authoritative outlet covers our story, other journalists may discover and cite it organically. Syndication can amplify the effect further when a media group republishes an article across its network, potentially producing many relevant links from one story.

    Our strongest digital PR campaigns typically use one or more of the following approaches.

    Infographic outlining five steps for a credibility-focused SEO strategy, from targeting trusted publications and creating linkable assets to measuring results.
    Build lasting brand authority in five steps: target trusted publications, create citation-worthy assets, launch digital PR, nurture journalist relationships, then measure and refine your approach.
    • Data-led PR campaigns: We begin with what journalists and their readers care about, not simply what we find interesting. We review local news, Google News, and current coverage to understand which subjects are gaining attention. By considering journalist intent from the start, we improve our chances of receiving responses and earning placements.
    • Newsjacking or reactive PR: When we can move quickly, we contribute expert opinions, data, or commentary to breaking stories that relate to our brand. This gives journalists material they can use while the topic is still timely.
    • Proactive PR: We anticipate trends before they break and prepare insights around recurring news cycles, holidays, and other relevant media moments.
    • Contributed content and guest features: We place useful content written by our experts in relevant publications, allowing us to speak directly to established audiences and earn recognition.

    When we combine these tactics effectively, we can elevate our brand to a level that competitors cannot reproduce with a batch of low-value links.

    We build relationships with journalists and publishers

    We know that even fascinating proprietary data, packaged in an expertly designed analysis, can fail if our journalist outreach is poorly targeted.

    Resolve data about journalist outreach and PR pitches

    Journalists receive an enormous number of PR pitches, and those messages can either support or obstruct their work. According to a 2026 Muck Rack study, nearly nine in 10 journalists said at least some of their stories originated with PR pitches.

    The same survey found that 54% of journalists seldom or never responded to most pitches. Relevance was a central problem: nearly half said a genuinely relevant pitch was rare.

    If we send a journalist at an economics publication a pitch about music-listening habits, we should expect a rejection because the subject may matter to only a small part of that publication’s audience. We do not take that response personally. Journalists build their careers around particular topics and beats, and our job is to support that work rather than distract from it.

    We therefore approach outreach as relationship building: a two-way exchange that should benefit everyone involved. Above all, we remember that there is a real person on the other side of every email.

    • We personalize our emails and explain why a story fits the journalist’s audience.
    • We respond graciously when a journalist says no because our next idea may be a better fit.
    • We share relevant work from journalists and publications through social media.
    • We contribute thoughtful comments when we have something useful to add.
    • We cite journalists’ reporting in future content when it genuinely supports our work.

    As we strengthen these relationships, journalists become more likely to consider future opportunities. A thoughtful follow-up or second pitch can receive a warmer response when a reporter already knows that we provide reliable data and useful commentary.

    PR relationships grow over time. Even when our first pitch does not fit a journalist’s beat, we remain willing to return with a better story or a new set of relevant data.

    How we measure real brand authority

    We recognize that authority, trust, and legitimacy feel less concrete than traffic or keyword position. Yet they have become more important. A traffic surge may look encouraging while reflecting temporary attention, weak intent, or an advantage that disappears after an algorithm update.

    Authority and legitimacy are more durable. We can also measure the impact of credibility-focused work through several meaningful indicators.

    Infographic showing EZ Contacts’ digital PR results: 1,000+ media placements, a Domain Rating of 43, and doubled visibility in ChatGPT and AI Overviews.
    EZ Contacts’ six-month digital PR campaign delivered 1,000+ media placements, raised Domain Rating from 40 to 43, and doubled visibility across ChatGPT and Google AI Overviews.
    • Earned media placements: We track the publications that cover our brand, including coverage containing an unlinked mention. These placements help us assess brand credibility.
    • Branded search volume: We monitor whether more people search for our company or products after discovering us through media coverage.
    • Industry coverage: We look for the point at which publications we have not contacted begin citing our work. That organic pickup is a valuable sign that our authority is spreading.
    • Conversions: We measure whether greater credibility leads more people to trust our organization, products, or services and ultimately take meaningful action.
    • Organic ranking improvements for target keywords: We still review rankings, but we treat them as one indicator within a broader picture. Sustained movement can show that search engines increasingly view us as a credible result relative to competing pages.
    Metrics for measuring brand authority and credibility

    We do not expect these indicators to appear overnight.

    • We invest real effort in creating proprietary data.
    • We build trust with journalists through repeated, useful interactions.
    • We grow authority through sustained work over time.

    Our advice is simple: we stay patient, keep improving, and allow credible results to compound.

    How we build a credibility-focused link strategy

    Knowing the principles of SEO authority is one thing; building an entire campaign around them is another. We use the following five-step process to turn those principles into consistent action.

    1. Step 1 — We define our target publications: We identify five to 10 publications that our audience trusts and that search engines are likely to recognize as authoritative within our field. These become our priority coverage targets.
    2. Step 2 — We develop linkable assets: We create at least two content or media assets designed around the interests of those publications. We may use original survey data, visual guides, proprietary analysis, or expert thought leadership.
    3. Step 3 — We launch a digital PR campaign: We proactively pitch our assets to relevant publications. We can also use platforms such as Connectively or Muck Rack to identify ongoing opportunities with writers covering subjects related to our research.
    4. Step 4 — We nurture relationships: We treat every positive media interaction as the beginning of a longer relationship. We follow up with useful information, engage with published coverage, and build the kind of rapport a journalist can rely on.
    5. Step 5 — We measure and iterate: We review our authority indicators each quarter, learn from the response to our campaigns, and adjust our content and outreach accordingly.
    Resolve credibility-focused link-building process

    We know this process can consume a team’s time, particularly when resources or specialized expertise are limited.

    In those situations, we may benefit from working with a link-building and digital PR specialist who can expand our capacity and keep pace with search changes. The right support can help us establish sustainable visibility without allowing every minor ranking fluctuation to pull us off course.

    How we build authority that lasts at Resolve

    We know that quality usually stands the test of time better than quantity. The difficult part is maintaining that focus when competitors appear to be winning with sudden traffic spikes or eye-catching vanity metrics.

    We do not let temporary numbers distract us from the larger goal. We focus on lasting authority and legitimacy earned through sustained content creation, thoughtful PR outreach, and genuine relationship building.

    When an internal team lacks the time or patience required to maintain that effort, we can step in.

    At Resolve, we work with brands to build credibility-focused SEO campaigns through linkable content, data-led digital PR, and hands-on link building. Our goal is sustainable organic growth, not a burst of visibility that disappears after the next algorithm update.

    Resolve results from credibility-focused digital PR

    We have seen this approach pay off. In a recent data-led campaign for EZ Contacts, we earned more than 1,000 placements in outlets including the New York Post and Yahoo. As the coverage grew, the brand’s visibility in ChatGPT and Google’s AI Overviews doubled. That is the kind of durable growth we want to build — growth that extends beyond the next algorithm update.

    Large Google logo over colorful stacks of digital pages and folders, symbolizing search advertising, web content, and online marketing updates.
    A bold Google logo sits atop layered, colorful digital documents, evoking the fast-moving world of search marketing, ad formats, campaign assets, and platform updates.

    When we are ready to build links that last, we can visit growresolve.com to learn more.

    We see considerable overlap between link building and digital PR, but we do not treat them as identical. Link building is the broader practice of acquiring backlinks from other websites to improve search authority. Digital PR is a particular approach within that practice, focused on earning links through media coverage, journalist relationships, and placements in credible publications rather than relying on directory submissions, guest-post exchanges, or other lower-authority tactics.

    We often use digital PR to pursue the strongest editorial backlinks because reputable outlets have real audiences and established review standards. At the same time, this work builds brand visibility and consumer trust in ways that many conventional link-building methods do not.

    How long do we wait for meaningful results?

    We do not expect authoritative backlinks or earned media coverage to produce results overnight. That is an honest trade-off when we choose a credibility-focused approach instead of more aggressive tactics. Most brands can begin seeing meaningful domain-authority gains and early ranking movement after three to six months of consistent execution, while highly competitive keywords and top-tier placements may require more time.

    The advantage is that our results can compound. Links from credible publications tend to endure, strong journalist relationships can create repeat opportunities, and the authority generated through consistent coverage can keep delivering value long after the initial campaign.

    We define an authority backlink as a link from a source that search engines and its audience regard as credible and trustworthy. These sources typically have genuine readers, clear editorial processes, established authority, and topical relevance to our industry.

    A regular backlink can come from any website willing to link to us, regardless of its relevance, quality, or editorial standards. That distinction matters because search engines do not evaluate every link equally. One editorial link from a respected industry publication can be more valuable than dozens of links from low-authority sites, while also supporting the kind of E-E-A-T credibility that bulk link acquisition cannot reproduce.

    Do we value brand mentions without hyperlinks?

    Yes. We recognize that Google can associate brand mentions with entities even when a publication does not include a hyperlink. Relevant, unlinked mentions in credible coverage can still contribute to the wider authority signals surrounding our brand.

    That is why we consider digital PR valuable even when every placement does not produce a direct link. A credibility-focused off-page strategy should not be reduced to backlink acquisition alone. Our larger objective is to build a brand that respected publications genuinely want to mention, cite, and cover.

    We see risks ranging from wasted effort to serious search penalties. Link buying, reciprocal-link schemes, private blog networks, and manipulative anchor-text optimization can violate Google’s spam policies. These tactics may trigger manual actions or algorithmic suppression that substantially reduces our search visibility.

    Even when outdated tactics do not produce an immediate penalty, they can lose their value as search systems become better at identifying manufactured signals. Recovering from a link-related penalty can be slow and expensive. We would rather invest in credible link building from the beginning than repair the damage caused by shortcuts later.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • How I Build SEO Strategies That Drive Real Revenue

    How I Build SEO Strategies That Drive Real Revenue

    I have watched the SEO industry become exceptionally strong at its technical craft. We have made real progress in crawl architecture, Core Web Vitals, content frameworks, entity optimization, and link acquisition at scale.

    Where I still see a gap is in how SEO connects that craft to the financial realities of the businesses it supports. Too often, SEO struggles to speak the language that gets budgets approved and strategies prioritized.

    If I want more funding and a stronger seat at the table, I have to change how I define what SEO is trying to achieve. That means moving beyond visibility alone and tying organic search to commercial outcomes.

    Here is how I make an SEO strategy more commercially aware.

    Why paid search often gets more funding

    Paid search usually frames its goals around clear commercial inputs and outputs. Money goes in, revenue comes out, and the difference helps determine whether investment should increase, decrease, or shift. Every campaign sits inside a financial framework.

    Even when paid search is expensive or inefficient, leadership can still see the goals, the numbers, and the tradeoffs. That makes resource decisions easier.

    SEO teams often present rankings as the final goal rather than a route to revenue. They report traffic without connecting it to transactions, or highlight technical improvements that matter to SEO but do not translate clearly into business value.

    When organic search does not get enough funding, it is easy to say leadership does not understand SEO. I think the more useful explanation is that SEO has not always made its commercial case clearly enough. Leadership needs to see organic search measured in sales, margins, and channel ROI.

    What commercial awareness requires

    Before I plan SEO work, I try to change the questions I ask.

    Instead of asking which topics have the highest search volume, I ask which categories and product lines carry the strongest margins. Then I evaluate search demand within those areas.

    Instead of asking where I should create new content, I ask which existing pages would generate meaningful revenue if they ranked better. From there, I work backward into the SEO plan.

    Instead of measuring success only in organic sessions, I measure it in organic profit. To do that, I need to know what the channel costs and what it returns.

    Financial metrics I use for commercial SEO

    When I run organic search as an acquisition channel, I pay close attention to these metrics:

    • Organic sales.
    • Organic revenue.
    • Organic profit.
    • Average order value from organic traffic.
    • Average margin per organic sale.
    • Channel ROI.

    These metrics are not exotic or especially difficult to calculate. They usually require connecting analytics data to backend transactional data, which most organizations can do with a modest investment in reporting infrastructure.

    One metric I keep returning to is organic profit per sale. I calculate it by dividing organic profit by organic sales.

    This turns organic search into a customer acquisition channel with a measurable cost per outcome. It also gives me a concrete benchmark I can compare against other channels.

    When I break that metric down by category, subcategory, and page, I can make strategic decisions using commercial data first, then layer SEO execution on top.

    Focus on value-side metrics

    Most SEO strategies lean heavily on demand-side metrics such as:

    • Search volume.
    • Keyword difficulty.
    • Current ranking positions.
    • Traffic estimates.

    I still need those inputs, but they only show half of the picture. They tell me where demand exists, not where value is strongest.

    To make better commercial decisions, I layer value-side metrics on top of demand data, including:

    • Categories with strong margins.
    • Pages that drive high transaction values.
    • Customer segments that stay profitable over time.

    From a revenue and profit perspective, a category with modest search volume can outperform a higher-traffic segment if it has stronger margins or a higher average order value.

    SEO tactics that move the commercial needle

    When I take a commercially aware approach, I evaluate strategic decisions against business outcomes rather than traffic projections alone. That includes decisions about informational content, authority building, and brand visibility.

    Informational content and topical authority still matter. A channel that only chases transactional queries will eventually hit a ceiling. The difference is that I want every major SEO initiative to have a clear commercial role.

    Score demand and business value together

    I apply a second filter that considers business value alongside search demand.

    That means I look at margin potential, average sale value by category, and current organic performance compared with where it needs to be. Then I weigh those signals against demand.

    The highest-priority work usually sits where meaningful demand and strong commercial signals overlap. In practice, that often produces a different priority list than traditional keyword research alone.

    Update commercial pages before creating more content

    Commercial pages naturally decay over time. Competitors improve their pages, SERPs change, and freshness signals fade. That decay can turn directly into lost revenue from pages that used to perform well.

    When I update commercial pages, I focus on a few practical moves:

    • I use keyword and competitor research to find content gaps.
    • I restructure information into formats that search engines and AI interfaces can easily extract, especially tables where they make sense.
    • I use a large language model to review first drafts and stress-test the content against competing pages.
    • I strengthen internal links to the pages that have revenue and margin potential.

    Increase internal linking

    Internal links from strong informational assets and high-authority pages to commercial pages can create direct business value when those destination pages have revenue and margin potential.

    Futuristic data archive with glowing server-like filing cabinets, stacked documents, and network lights symbolizing AI marketing data infrastructure.
    Rows of illuminated data cabinets and paper files stretch into the distance, capturing the pressure on marketers to turn fragmented customer data into a smarter performance engine.

    I spend significant time building internal links into commercial page clusters, especially when supporting content has authority but the connected commercial pages are underperforming in search.

    Borrow conversion intelligence from paid search

    SEO usually cannot see exactly which organic keywords drive conversions. I may have page-level conversion data, but the specific queries that create visits and purchases are often hidden.

    The best workaround I have found is to review recent PPC campaign data, usually from the last 30 to 90 days, and adjust for seasonality. This helps me identify keyword patterns that generate sales and high-value customers in paid search.

    I can then use those insights to prioritize organic landing pages, update commercial content, and decide where conversion optimization is most likely to pay off.

    Recover transactional terms just outside Page 1

    A valuable group of transactional keywords often sits in positions 10 through 20. These are commercial-intent terms where I am already in the conversation, but not yet visible enough to convert meaningful traffic.

    I identify these opportunities by filtering for commercial intent and business potential. Then I apply targeted improvements such as content updates, internal links, and relevant authority building.

    Build digital PR with commercial architecture

    Digital PR campaigns that exist only to acquire links rarely create meaningful commercial impact. I prefer to build a linking environment that supports the product categories I care about most.

    That means I structure campaigns around a few principles:

    • I focus on topics that are thematically relevant to important product categories.
    • I create an on-site asset that acts as the campaign destination and links back to relevant commercial pages.
    • I build the asset with internal links to the commercial page clusters it is designed to support.

    Treat branded search protection as a profit issue

    When affiliates rank for discount and voucher terms and capture that traffic, I may end up paying commission on customers who were already in the funnel and likely would have converted directly.

    The fix is straightforward. I improve on-site pages that target branded intent, strengthen internal signals, monitor branded click share, and enforce affiliate program terms around branded bidding.

    That can improve margins as well as revenue because it removes acquisition costs from conversions that should have been organic in the first place.

    Choose an attribution model

    Attribution is rarely clean. Organic sessions may appear as direct traffic, GA4 and backend systems may report different numbers, and multi-touch journeys can resist neat channel assignment.

    These problems are not unique to organic search. As AI-mediated search complicates referral paths further, attribution will become even harder.

    I choose an attribution model the organization can agree on, stay transparent about its limitations, and focus on growing the revenue attributed to organic search under that model.

    When leadership consistently sees organic search contributing meaningful and growing revenue, the finer attribution nuances become less important.

    Treat budget as a lever, not a constraint

    I view an SEO budget as a variable that can be adjusted based on commercial KPIs.

    The model is simple: SEO profit equals the business margin generated from organic search minus the cost of running the channel.

    When revenue growth is the priority, I can invest more aggressively in link acquisition, digital PR, and content production to expand visibility and capture incremental demand.

    When channel profitability matters more, especially during a business cycle where margin preservation is more important than top-line growth, I can reduce spending to improve short-term profit. I just need to be clear about the competitive risk of sustaining those reductions for too long.

    How I secure internal alignment

    Commercial SEO depends on cross-functional cooperation. To build alignment, I focus on the conversations that help other teams see SEO as part of the business growth engine.

    Speak the language of decision-makers

    Commercial and finance leaders care about growth, margins, and competitive position. I frame SEO in those terms, with revenue and margin projections tied to specific strategic initiatives.

    Generate proof before asking for major investment

    SEO takes time to show results, so I prefer to earn buy-in with a contained test before asking for a larger investment. That test might involve updating a group of commercial pages, completing a targeted internal linking project, or launching a branded search protection initiative.

    Use competitive visibility strategically

    I show leadership where competitors outrank us for high-value commercial terms, then quantify what that could mean in lost market share and revenue. Concrete numbers make the opportunity easier to understand.

    Build relationships that make execution faster

    When SEO is positioned as part of an integrated commercial growth engine, with shared data and coordinated prioritization, it becomes much easier to get work shipped. SEO touches paid search, content, product, and PR, so I treat those teams as allies rather than separate workstreams.

    Why commercial awareness should shape SEO strategy

    SEO has become technically sophisticated, but technical sophistication alone does not secure budget or influence priorities. I need to connect SEO work to the outcomes commercial leaders care about.

    I believe SEO should be held to the same standards of commercial accountability as other marketing investments. When that happens, organic search can become a cost-effective driver of growth and profitability.

    Commercial awareness does not require abandoning SEO fundamentals. It requires redefining success and having the discipline to organize strategy around revenue, profitability, and return on investment.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • How I Build a Brand AI Search Can Trust and Recommend

    How I Build a Brand AI Search Can Trust and Recommend

    Building a brand worth finding: Signals that fuel discovery

    For most of the past decade, I treated organic marketing as a visibility game. I wanted brands on Page 1, inside featured snippets, and in front of the people already searching.

    That north star has moved.

    When I spoke at SMX Advanced on June 5, the question I put to the room was not simply, “How do I get a brand found?” The harder question was, “How do I get that brand chosen?”

    In 2026, those answers are no longer the same. The distance between being discovered and being selected is where I see many brands losing ground.

    In AI search, my reputation shows up first

    The old user journey was messy and multi-step. People explored, compared, checked reviews, read Reddit threads, visited comparison sites, and moved toward a decision over time. Now, a single AI prompt can compress much of that process into one synthesized answer.

    AI search does not reward the brand that shouts the loudest in paid media or stuffs the most keywords into metadata. I see it rewarding the brand with the strongest reputation in the places that matter. Reddit discussions, review sites, comparison pages, expert commentary, forums, and editorial coverage are all being absorbed by large language models and blended into recommendations.

    AI search citation material

    In other words, my brand is no longer defined only by what I say about it. It is shaped by how AI understands it, and AI is reading what everyone else has said, too.

    Owned content on websites and social channels will always carry a promotional bias. AI systems look for outside validation to support, challenge, or clarify those claims.

    That changes the work of organic marketing. I can no longer stop at visibility. I have to build a brand that is found, correctly understood, and ultimately chosen. Those are three separate challenges, and I need a strategy for each one.

    Found: I need to appear where my audience actually looks

    The first challenge is still discoverability, but the canvas is much wider than Google. People now discover brands through ChatGPT, Reddit, YouTube, TikTok, Google, Quora, LinkedIn, and word of mouth. I have to understand which of those entry points matter most to the specific audience I want to reach.

    That starts with mapping the sources my audience genuinely trusts: the publications, platforms, communities, creators, analysts, newsletters, and peer groups that influence their decisions. The intersection of semantic relevance, domain authority, and audience affinity tells me which third-party properties are worth pursuing.

    For one B2B audience, that might mean Wired, Tom’s Guide, or an active LinkedIn group where buyers discuss vendors in a specific vertical. For another, it might be r/smallbusiness or a Substack newsletter with 40,000 engaged subscribers.

    Once I know where the audience spends time, I can create useful content, earn credible mentions, and participate in the conversations already shaping decisions. This is audience-first, performance-driven PR and organic strategy, not generic brand awareness.

    Infographic showing 93% of AI search citations come from third-party community and earned media, with 7% from owned brand media.
    AI search leans heavily on outside validation: this chart shows third-party communities, reviews, and earned media driving 93% of citations versus 7% from owned channels.

    The data makes the case even stronger. Across the top commercial sectors analyzed, 93% of AI search citations came from third-party sources. If I only invest in content on my own domain, I risk being invisible to the systems now doing much of the brand discovery work.

    Understood: I need consistent signals everywhere

    Getting found matters, but it is not enough on its own. If machines are surfacing my brand, they also need to understand it accurately.

    LLMs do more than crawl my website. They build a consensus picture from everything available online: reviews, Reddit discussions, press coverage, YouTube commentary, Trustpilot ratings, forum threads, and more. If those signals conflict with the story I am telling about myself, I have a real problem.

    If I claim premium positioning while thousands of articles question whether the brand is truly luxury, heavy discounting is part of the public record, and review scores are poor, AI is unlikely to recommend that brand as a premium option. The model has read the broader story, not just the homepage copy.

    That is why brand messaging consistency has become an SEO issue. Owned, earned, and paid content all need to reinforce the same core associations. Conflicting signals do not just confuse customers; they can weaken AI visibility.

    Digital PR plays a critical role here because it helps shape the external narrative. Through strategic media placements, expert commentary, and search-informed coverage, I can influence what journalists write, what audiences remember, and what models learn.

    I also have to think beyond one obvious keyword. The query fan-out, or the range of prompts a potential customer might use, requires positive and consistent answers across every touchpoint an LLM might evaluate.

    Chosen: I need trust signals that influence the decision

    The third challenge is the hardest and probably the most important. Trust has always been an SEO currency, but as clicks decline and zero-click search becomes more common, trust matters even more.

    According to an Ahrefs study, brand appearance in AI Overviews is most strongly correlated with branded web mentions. In practical terms, that means the number of times a brand is positively named across authoritative third-party sources is becoming one of the most powerful signals organic marketers can influence.

    That is also the core output of strong digital PR. Based on the last 4,000 pieces of U.S.- and U.K.-based coverage driven for clients, 91% of AI search citations included expert insight rather than branded content or product pages.

    That tells me expert-backed, editorially independent coverage is critical. Internal experts are now one of the most valuable assets a brand has. Brands that invest in real thought leadership, original research, and data-backed studies are giving both people and AI systems stronger reasons to trust them.

    The three content formats I see consistently supporting LLM inclusion are product roundups and listicles that place a brand inside trusted “best of” editorials, reliable data-backed research that journalists and LLMs can cite, and expert thought leadership that positions real people as credible voices in their category.

    Neon Google search bar with microphone icon over a futuristic digital data background, representing search technology and SEO updates.
    A glowing Google search bar cuts through streams of digital data, capturing the fast-moving world of search, shopping visibility, and SEO innovation.

    What does not work is chasing inauthentic mentions through artificial link schemes, fake expert personas, or manufactured coverage. Google has already flagged these kinds of tactics in its GEO guidance, and models are getting better at distinguishing genuine authority from manipulated signals.

    The reputational risk is also high. If I try to manufacture authority and get caught, I do not just lose visibility. I damage the trust I was trying to build.

    This cannot be a one-time effort. Multiple studies, including research from Waseda University, have identified a correlation between AI brand visibility and content recency.

    Brands that maintain a steady flow of credible, expert-backed third-party coverage do not just appear more often in AI responses. They appear with more confidence.

    Frequency and freshness both matter. A one-off PR campaign is not enough. I need to treat credible external validation as an always-on strategic investment.

    The framework I use in practice

    When I think about brand discovery in 2026, I come back to three words: found, understood, and chosen.

    Found: I map the audience’s real sources of influence and make sure the brand is credibly present across the fragmented ecosystem where discovery now happens.

    Understood: I work to make sure everything said about the brand tells a consistent story, matches the desired positioning, and reinforces the associations that drive preference.

    Chosen: I continuously build genuine trust signals through earned coverage, expert commentary, and third-party validation, so that when a person or machine compares the brand with a competitor, credible external evidence tips the decision in my favor.

    The brands winning in organic search right now have not unlocked some secret technical trick. They have built reputations worth recommending, and they have made sure machines can understand those reputations clearly.

    That is where I believe organic marketing has to go next. Instead of chasing the algorithm, I need to build something worth finding, worth understanding, and worth choosing.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • 6 SEO Priorities I’m Rethinking for Stronger AI Visibility

    6 SEO Priorities I’m Rethinking for Stronger AI Visibility

    I see plenty of overlap between SEO and AEO, but I do not treat them as the same discipline. The SEO playbook that worked reliably in traditional search will not take me as far when the goal is visibility inside AI-generated answers.

    So I keep coming back to one practical question: what should I change first?

    Instead of revisiting content structure for AI search, I focus on three priorities I believe deserve more attention now and three SEO habits I would intentionally emphasize less.

    3 SEO priorities I would emphasize more

    Establish brand authority and strong entities

    Before an AI system is likely to cite my brand, it needs to understand that the brand exists, what it represents, and why it is credible. Entity recognition has become foundational to AI visibility in a way that traditional search did not always require, even though Google’s Knowledge Graph has been moving in this direction for years. Large language model training data tends to reward brands that show up consistently across trusted platforms.

    When I work on this for clients, I pay closer attention to whether brand information is consistent across Wikipedia, LinkedIn, Crunchbase, industry directories, and any other source an LLM might use to understand an entity.

    I also think PR and SEO or AEO teams need to work much more closely together. Earned media mentions are no longer just awareness plays; they are entity-building signals.

    E-E-A-T was already pushing SEO in this direction, but author entities matter even more in AI search. When bylined experts have their own credible web presence, they strengthen the authority of the content they create.

    When I can invest in entity building before scaling content, I usually see stronger AI citation potential because the credibility infrastructure is already in place.

    Build topical depth with content clusters

    AI systems tend to favor sources that show comprehensive authority on a subject, not just pages that happen to rank for isolated keywords. A thin content footprint is much more vulnerable in AI search than it was in traditional search.

    That means I need to move beyond keyword-by-keyword planning and think more seriously about topic ownership. Instead of only asking, “What do we rank for?” I ask, “What topics do I want AI systems to associate this brand with?”

    Internal linking becomes more valuable in this environment because it helps signal relationships between related pieces of content. I also treat content audits as a way to find gaps in topical coverage, not just as a way to identify pages with declining traffic.

    When I can go deep in a specific niche, I often see content cited across multiple related queries. One well-built content cluster can create visibility far beyond a single keyword target.

    Owning the topic cluster around the problem a client’s product solves can position that brand as a trusted resource before a sales conversation even begins. I also hear more often that buyers are finding those brands in LLMs during their research process.

    Earn unlinked brand mentions and community presence

    LLMs learn from the broader web, not only from pages with backlinks. A mention on Reddit, Quora, a niche forum, or an industry community can matter even when there is no link attached.

    I think this is one of the bigger mindset shifts for SEO teams. AI systems look for patterns in what the web says about a brand across many sources, not only what ranks in Google. Owned content alone cannot manufacture that signal.

    Trusted third-party communities such as Reddit can carry particular weight because LLMs have been heavily trained on them and often treat that content as a form of authentic user sentiment.

    That makes community participation and digital PR increasingly important SEO-adjacent work. I care about whether a brand is being mentioned in the right places, even when the mention does not come with a backlink.

    Futuristic SEO and AI search illustration showing old tools breaking apart as blue data streams lead to a glowing search platform and digital icons.
    Old search marketing tools give way to a faster, connected future, with data streams, AI icons, and a glowing search hub symbolizing SEO innovation and community growth.

    Monitoring unlinked brand mentions is becoming just as important to me as tracking backlinks. Tools such as Brandwatch and Mention, along with manual Reddit and Quora monitoring, can show where a brand is appearing organically and where it is absent.

    I would rather talk with the team about where the brand is being discussed, whether those conversations are accurate, and whether the sentiment is positive than focus only on who is linking to the site.

    Brands with an active presence in relevant communities are more likely to surface naturally in conversational, recommendation-style AI answers, including queries such as “What does Reddit think about X?” or “What’s the best Y according to users?”

    For challenger brands trying to enter a category, earned community mentions can build AI-visible authority faster than traditional link building, which usually takes longer to accumulate.

    B2C brands can benefit especially from genuine community presence because consumer AI queries often lean toward social proof and peer recommendations rather than formal editorial sources.

    3 SEO priorities I would emphasize less

    Chasing high-volume keywords with thin content

    AI Overviews can absorb the click for broad informational queries. Ranking No. 1 for a head term increasingly means I may have invested a lot of effort into winning traffic that never actually reaches the site.

    Search volume alone is no longer a reliable proxy for opportunity. A query with 50,000 monthly searches that triggers an AI Overview may send less traffic than a query with 2,000 searches that still requires a click.

    I would rather create specific, authoritative content that answers a narrower question better than anything else available. I focus more on queries where the searcher needs to act, compare options, or access something only the site can provide. Those needs are harder for AI to fully resolve.

    Keyword traffic potential is no longer the first metric I trust. I first ask whether someone will still need to click after AI answers the query. If the answer is no, the opportunity is not what it used to be.

    Pursuing exact-match and manipulative link building

    Low-quality link volume does not do much for AI citation likelihood. LLMs care more about the authority and relevance of the sources mentioning or citing a brand than raw link counts. The publications that matter for AI visibility usually have real editorial standards, and those are much harder to game.

    I would focus on earning coverage and links from the kinds of sources AI systems are more likely to draw from, including trade publications, respected industry blogs, and academic-adjacent resources. The better long-term move is to build content worth referencing, not outreach that exists only to extract a link.

    A hundred low-quality links will not necessarily get a brand cited in ChatGPT. Five links from publications the target audience actually reads might matter much more. Source authority is the metric I would watch more closely than link volume.

    Optimizing for CTR on standard blue links

    A growing share of informational queries are resolved without a click. That makes title tag and meta description optimization for CTR less valuable on queries dominated by AI Overviews. I would rather spend that time trying to become the cited source inside the AI answer.

    For queries where clicks still happen, I put more weight on transactional and navigational intent because those searches are more resistant to full AI resolution.

    CTR optimization assumes a searcher is choosing between blue links. For more queries now, that choice is shaped before the traditional results even become the focus. The opportunity has moved higher on the page.

    The payoff is not always more traffic

    There are more shifts I could make, but these are the first ones I would prioritize. I may lose some volume in traditional SEO metrics such as impressions and clicks, but that should matter less if the downstream business metrics remain strong. In AI search, I care more about conversions, pipeline, and revenue than vanity traffic. That is the tradeoff I believe this new search environment increasingly rewards.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Why Paid Media Is Now a Powerful AI SEO Investment

    Why Paid Media Is Now a Powerful AI SEO Investment

    I believe the lines between paid media, PR, and SEO have officially disappeared.

    When I look at baked-in YouTube sponsorships, native UGC, and third-party review incentives, I no longer see them as separate from SEO. I see them as the modern equivalent of buying a high-DA backlink. When I fund these channels, I am investing in the information sources that shape how AI systems understand, evaluate, and recommend a brand.

    A recent social media screenshot made this shift especially clear to me. A B2B brand was offering a $250 Amazon voucher to anyone who wrote a review on G2.

    To a growth marketer, that may look like a familiar user acquisition tactic. But as an SEO, I saw something more important: a direct investment in the semantic infrastructure AI systems use to judge brands.

    The evolution of the authority signal

    To understand why I consider a $250 G2 voucher or a paid YouTube sponsorship an SEO strategy, I have to look at how LLMs now define authority.

    Authority used to feel transactional and mathematical. You built or bought hyperlinks, and those links helped determine how trusted a page or brand appeared to search engines.

    When I moved from link building into digital PR and influencer marketing, I realized Google was getting smarter. I could not rely on links alone. I needed unlinked brand mentions, high-tier media coverage, and contextual relevance. In many ways, I was optimizing for Google’s Knowledge Graph.

    Today, retrieval-augmented generation (RAG) systems and LLMs do not just count links or parse knowledge graphs. They look for semantic consensus across the web.

    When an AI engine like Perplexity or ChatGPT answers a user query, it crawls the data ecosystems it trusts most for that specific topic. For software, that often means G2 and Reddit. For consumer products, it may mean TikTok transcripts, YouTube, and forums.

    So when I pay $250 for a G2 review, I am buying a dense, text-based data point that an LLM can use to understand my brand’s sentiment, use cases, and vector positioning. I am strengthening the signals AI systems may use when deciding whether to recommend my brand.

    The permanent ad: Why sponsorships and UGC are the new organic infrastructure

    This reality breaks the traditional separation between paid media and SEO.

    Infographic showing SEO authority evolving from backlinks and PageRank to digital PR mentions, then LLM/AEO semantic consensus and dataset saturation.
    The path to AI search visibility now runs beyond links: from PageRank and PR mentions to consistent brand signals across the datasets LLMs rely on.

    Historically, paid ads were temporary. I turned off the budget, the traffic stopped, and SEO had to carry the long-term work. If I run a dynamic programmatic ad on YouTube or a banner ad on a website, that old model still applies because LLM web scrapers generally ignore dynamic ad placements.

    But baked-in influencer sponsorships, native user-generated content, and podcast reads behave differently because they become part of the content itself.

    First, there is the hardcoded transcript. When a YouTuber reads a native sponsor segment such as, “I use Brand X to manage my business taxes,” that message is baked into the video file, and YouTube automatically transcribes it.

    Then comes LLM ingestion. When an LLM crawls the web, or when a multimodal AI watches the video, those spoken words can be indexed. The AI can associate the brand with the semantic concept of business taxes.

    That creates a new half-life for paid media. Long after the campaign ends and the initial views slow down, the transcript can remain part of the information an LLM can access.

    As someone who spent years bridging the gap between digital PR and SEO, I used to judge a campaign’s ROI by immediate referral traffic, brand search lift, and backlink quality. Now, I also have to think about the algorithmic half-life of my creative assets.

    Activating the convincer: Bringing paid and PR into the visibility supply chain

    The visibility supply chain treats content like an industrial product that passes through strict organizational “gates” before it enters the digital ecosystem. In that model, companies need a strategic duo: the hacker, or technical architect, and the convincer, or cross-departmental visibility advocate.

    This convergence of paid media and AI visibility is exactly where I believe the convincer has to step in.

    If my paid media team is buying YouTube sponsorships based only on demographic reach, or if my product marketing team is buying G2 reviews just to hit a quarterly quota, we may be damaging LLM visibility without realizing it.

    The reason is simple: LLMs need information density and semantic alignment.

    If a user writes a rushed, generic review like “Great tool, highly recommend!” just to receive a $250 voucher, it may pass the human layer, but it fails the machine layer. To a RAG system, that sentence is low-density noise.

    Futuristic SEO and AI search illustration showing old tools breaking apart as blue data streams lead to a glowing search platform and digital icons.
    Old search marketing tools give way to a faster, connected future, with data streams, AI icons, and a glowing search hub symbolizing SEO innovation and community growth.

    The convincer’s job is to realign the review strategy and help internal teams understand how every initiative can build LLM visibility.

    For example, I would rather incentivize users to write detailed, context-rich problem-and-solution statements, such as: “We used Brand X to solve our cross-border compliance issues in Europe.” That gives AI the entity-relationship mapping it needs to recommend the brand for cross-border compliance.

    The new marketing playbook: Optimizing dataset partnerships

    If I want a brand to be recommended by AI systems, I have to study where the major AI players are getting their data.

    We know OpenAI and Google have struck multimillion-dollar deals to train on Reddit’s real-time firehose. We know Grok trains on X. We also know Apple and others are licensing major journalistic archives.

    That means target audience research is no longer just about finding where customers spend time. For me, it is also about dataset matching.

    If I am planning an influencer campaign, a digital PR push, or a community-building initiative, I need to ask one critical question: Is this content entering a data pipeline that the primary LLMs trust and crawl in real time?

    Stop optimizing pages. Start optimizing budgets.

    I no longer believe SEO can be isolated inside a technical department or limited to a content blog. That does not reflect how AI visibility is built anymore.

    The next time I sit in a budget allocation meeting and see a line item for influencer marketing, podcast sponsorships, or third-party review incentives, I will not treat it as temporary media buying.

    I will reframe it as infrastructure. I am building the digital foundation of a brand’s AI persona. I am buying the AI equivalent of backlinks. If I do not intentionally structure those paid assets to feed the visibility system, I am leaving the brand’s future visibility up to chance.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Harness the Digital PR Strategy: Rinse, Reuse, Repeat!

    Harness the Digital PR Strategy: Rinse, Reuse, Repeat!

    I’ve realized that journalists are inundated with generic AI pitches. So, how do we stand out and actually land the coverage we need? It’s all about reusing winning structures for our outreach campaigns.

    Picture this: Every digital PR team has experienced the scenario where we gather around new data, unsure of how to pitch it. Someone eventually sends out a pitch just in time, and thankfully, it lands in a prominent publication. We celebrate the victory, but often, we overlook the hidden treasure right in front of us—our winning pitch.

    We tend to forget that these pitches are not just one-off successes. They are templates that we can adapt for future campaigns. Whether it’s a data study, product launch, or an expert quote, we can replicate the effective elements using AI, rather than starting from scratch.

    Statistics show us that almost half of journalists receive six or more pitches daily, yet they rarely respond because many pitches lack relevance. With AI, pitch volumes are increasing, but so is the mediocrity. The key is not to generate more pitches but to refine what we know works.

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Let me introduce you to the ‘DPR duplication method.’ It’s straightforward: rinse, reuse, and repeat. Take a successful pitch, analyze its winning structure, and use AI to model this structure for future campaigns.

    One of my favorite pitches was sent to an editor at PR Daily. It started with a personal touch referencing her dog, and smoothly transitioned into a compelling data study. It was a hit, earning a same-day response. That’s what makes the method so powerful—it works across various pitch types and audiences.

    The anatomy of a winning pitch is fascinating. It starts with a subject line that feels personal, an opening hook to build rapport, sequential stats that tell a story, and a CTA focused on the journalist’s readers. Each component can be replicated to maintain our uniqueness in the industry.

    ```json
{
  "alt": "Email exchange discussing a new SEO study with an image of a black dog named Hershey holding a purple toy.",
  "caption": "This email thread captures a light-hearted exchange about a new SEO study, complete with a photo of an adorable dog named Hershey, who steals the spotlight.",
  "description": "The image shows an email exchange regarding an SEO study for PR Daily. The email, sent by Nicole Franco, highlights findings about video thumbnails and SEO. Also featured is a picture of a black dog named Hershey with a purple toy, adding a personal touch to the communication. The emails discuss strategies, express admiration for the dog, and reference additional articles for consideration. Hershey's presence adds warmth and engagement to the professional discourse."
}
```

    Why invent something new when you can evolve from what’s already proven successful? By duplicating the structure of our best work, we maintain our voice and relationship-building, ensuring pitches are relevant and engaging.

    To get started, revisit your last successful pitch, dissect its components, and prompt AI to duplicate each one for new campaigns. Remember, it’s not just about repeating—it’s about enhancing and refining. Rinse, reuse, repeat.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Mastering Media Coverage: Essential Tips for Pitching Journalists

    Mastering Media Coverage: Essential Tips for Pitching Journalists

    We all dream of gaining media coverage that positively impacts our brand. It leads to increased exposure, builds authority, fosters trust, and often provides valuable backlinks.

    However, the path to such coverage often seems shrouded in mystery for many of us. Some hold myths about needing to be top-of-the-industry to catch the media’s eye. But let me tell you, that’s not entirely accurate.

    There’s also a belief that media coverage is a commodity that can simply be bought. While you might find contributors willing to feature you for a fee, this practice is against most outlet guidelines. Even if you momentarily land a feature, it’s not sustainable; once discovered, it leads to content removal and getting blacklisted.

    So, how can you get featured? It starts with understanding the process and applying it consistently.

    Develop Your Story

    Each of us likely has a compelling story waiting to be discovered. For the media, content is a never-ending demand, and having a strong story is your ticket to being featured.

    But let’s dig into what doesn’t make a compelling story. It isn’t enough to be the first, claim to be the best, or even aim to change the world.

    The key lies in telling an actual story that resonates. Explain why the audience should care. Like how I rebuilt my success story using PR, our agency’s approach comes from personal experience, aiming to empower others similarly.

    Remember, you don’t need a life-or-death struggle for a great story. Tap into a mission that engages people and gives them something to care about.

    Craft Your Pitch

    Even with the best story, crafting an effective pitch is vital. It must stand out amidst hundreds of emails journalists receive daily. Your pitch should succinctly communicate your story and compel a response.

    Focus on connecting your story to current events. Remember, while it involves you, the story isn’t solely about you. Always prioritize what the audience wants.

    Condense your story into a few engaging sentences and align a short, punchy subject line with your pitch to grab attention positively. A well-aligned subject line is crucial for getting your email opened and read.

    Build Your Media List

    PR isn’t a numbers game. The goal is to send the right pitch to the right people at the right moment. Identify media contacts who align with your story, which you can often do through search engines or social media.

    Timing is partly chance, but with persistence, you can always improve your odds.

    Send Your Pitch

    The perfect time to send your pitch doesn’t exist—unless pressing news demands immediate attention. Avoid bombarding contacts with follow-ups; once a week is sufficient. After two or three attempts with no response, move on.

    It’s not personal; given the volume of pitches received, a lack of reply isn’t uncommon. Patience and perseverance are essential.

    Nurture Your Relationships 

    Most pitches won’t result in immediate media coverage, and many stop after initial rejection; I find this approach baffling.

    I’ve faced many “no” responses before achieving a feature. The key is in fostering relationships; these media contacts were strangers at first. Investing in building real relationships has ensured that my emails get opened. Once you have a network of responsive press contacts, consistent pitching becomes much easier.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlocking SEO Success: AI’s Role in Authority Building

    Unlocking SEO Success: AI’s Role in Authority Building

    In an AI-driven search world, authority outweighs optimization

    As someone deeply immersed in the world of SEO, I’ve witnessed a fascinating evolution. In the early 2000s, if you were like me, you probably focused on gaming PageRank with enough links and keywords to achieve visibility. It was a mechanical process, and frankly, relatively simple to exploit.

    Fast forward two decades, and the search landscape has radically transformed. Algorithms have become sophisticated, mirroring Google’s deeper understanding of brands, individuals, and reputations. This transformation, driven by AI-powered discovery, means authority is now the cornerstone of search rankings. The journey culminates in an era where brand legitimacy is sustained through genuine visibility.

    ```json
{
  "alt": "Google Hotel Finder review snippet on Hallam Internet by Susan Hallam.",
  "caption": "Discover Susan Hallam's insights on Google Hotel Finder's UK launch. Her verdict? A thumbs up! Dive into the detailed review.",
  "description": "This image displays a snippet from Hallam Internet featuring a review of Google Hotel Finder by Susan Hallam. The service has recently launched in the UK, and the review is positive, with a recommendation to try it. The snippet includes the website link, author photo, and mentions Google+ circles."
}
```

    I witnessed Google’s first significant stand against manipulation with the Penguin update, prompting many of us to rethink our link-building strategies. “Digital PR” began to replace traditional notions, while Google’s experiments with entity-based understanding introduced innovations like author photos in search results and knowledge panels.

    Although Google eventually phased out some features like authorship, the message was clear: authority assessment was being redefined. Instead of asking, “Who links to this page?” Google’s algorithms started considering “Who authored this content, and how is this author recognized?” This shift, propelled by AI-driven search enhancements over the past year, is now impossible to ignore.

    ```json
{
  "alt": "The CapmatchOne logo with a gradient circle and bold text.",
  "caption": "Discover innovation with the CapmatchOne logo, featuring sleek typography and a modern gradient circle.",
  "description": "The CapmatchOne logo features bold, modern typography coupled with a gradient circle, symbolizing connection and innovation. The sleek design conveys a sense of progress and creativity. This image can be used for branding or promotional purposes, appealing to audiences interested in innovative solutions and forward-thinking designs."
}
```

    Helpful content and the end of synthetic authority

    When Google integrated the helpful content system into its core algorithm, it marked a turning point for us in SEO. Sites that once thrived on over-optimization saw their performance crumble. In contrast, brands demonstrating authentic expertise and brand authority began to rise.

    It’s now vital that search systems accurately evaluate whether content reflects true expertise. As someone who’s navigated the core updates, I’ve seen larger brands with robust reputations consistently outperform technically proficient but less well-known sites. Authority has evolved from being a differentiator to a necessity.

    ```json
{
  "alt": "Line graph showing top cited domains in ChatGPT with Wikipedia and Reddit as leading sources.",
  "caption": "A visual dive into ChatGPT's source preferences reveals Wikipedia and Reddit as predominant domains before a notable mid-September drop.",
  "description": "This line graph illustrates the percentage of times specific domains were cited as sources in ChatGPT responses from July to September 2025. Wikipedia.org and Reddit.com show initial dominance with citation rates over 40%, followed by a significant decline around mid-September. Other domains like Medium, Forbes, and LinkedIn remain low. Based on a Semrush study of 230K prompts in October 2025, sourced from semrush.com."
}
```

    Authority in an AI‑mediated search world

    In diving into resources about large language models (LLMs), I’ve learned that they source their information from diverse platforms—journalism, forums, reviews, and video transcripts. It’s through these platforms that reputation is built, highlighting the power of consistent, positive mention of your brand.

    This revelation has profound implications for our SEO strategies. Platforms like Reddit, Quora, LinkedIn, YouTube, and trusted review platforms such as G2 are regularly cited in AI search responses. These platforms organically reflect what people genuinely think about brands, rather than what we aim to claim.

    ```json
{
  "alt": "Bar chart comparing factors correlating with AI mentions among ChatGPT, AI Mode, and AI Overviews.",
  "caption": "Explore how ChatGPT, AI Mode, and AI Overviews differ in correlation factors related to AI mentions, based on a study of 75,000 brands by Ahrefs.",
  "description": "This image features a bar chart that compares correlation factors with AI mentions among ChatGPT, AI Mode, and AI Overviews. The data includes metrics such as YouTube mentions, branded web mentions, and URL rating, derived from a study of approximately 75,000 brands by Ahrefs Brand Radar and Site Explorer. The chart reveals varying correlation levels, providing insights into digital presence and AI-related discussions."
}
```

    This doesn’t mean the end of Google

    Despite AI’s growing integration, Google continues to dominate with over 90% of global search usage. Even among frequent AI platform users, reliance on Google persists. Google’s interfaces now absorb AI-style answers, meaning users experience AI directly within Google platforms. This hybrid presence offers an exciting opportunity for building cross-platform authority.

    Brand building is the new SEO multiplier

    As someone who bridges the gap between paid and organic strategy, I’ve seen that effective authority signals often emerge from outside traditional search channels. Digital PR, brand advertising, events, and offline activities increasingly shape organic performance. This sphere where paid and organic strategies converge enhances your brand’s legitimacy.

    ```json
{
  "alt": "Graphic showing three types of authority: Category, Canonical, and Distributed, with descriptions and examples.",
  "caption": "Exploring the pillars of authority: Learn how Category, Canonical, and Distributed Authority help shape perceptions and build credibility across various platforms.",
  "description": "This graphic illustrates three essential types of authority: Category Authority, Canonical Authority, and Distributed Authority. Each type offers unique methods to build credibility. Category Authority involves defining the narrative with POV, thought leadership, and research. Canonical Authority focuses on creating trusted, reusable content like pillar pages and guides. Distributed Authority emphasizes credibility through external channels like PR, social media, and partnerships. © 2026 Hallam."
}
```

    Brand awareness significantly boosts click-through rates, with familiar names drawing references across various media. I’ve noticed mentions in YouTube videos or long-form journalism reinforcing topical authority that simple links cannot. The digital ecosystem now validates authority externally, and this multiplication effect is constantly evident in the results I oversee.

    A practical framework: The three pillars of authority

    Building enduring authority requires an integrated approach. Drawing from my experience, I’ve devised a framework focusing on three core areas: Category, Canonical, and Distributed authority. Each pillar strengthens your position as an industry leader, beyond mere SEO tactics.

    1. Category authority: Owning the truth, not just the traffic

    It begins with shaping how the category is defined. Instead of chasing keywords, the focus is on establishing your brand as the reference point others turn to for clarity. This strategy cultivates an authentic authority that search engines and AI increasingly reward.

    2. Canonical authority: Creating the definitive explanations

    This involves crafting explanation-focused content that thoroughly answers queries, becoming the go-to resource cited across various platforms. The content serves as the backbone across the digital landscape, ensuring enduring visibility through AI and future technologies.

    3. Distributed authority: Proving legitimacy beyond your website

    Genuine authority thrives through widespread credibility on platforms outside your control, including PR coverage, social media mentions, and product experiences. These elements amplify your brand’s presence and solidify trustworthiness.

    Ultimately, focusing on brand authority ensures durability amidst evolving algorithms. It’s about becoming the undisputed leader in your niche, where authority extends beyond traditional SEO into the realm of comprehensive digital engagement.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlocking Digital PR: 7 Secrets to Boost Your SEO Success

    Unlocking Digital PR: 7 Secrets to Boost Your SEO Success

    7 digital PR secrets behind strong SEO performance

    I’ve noticed a shift as informational searches decline. Digital PR is now fueling authority, relevance, and high-intent outcomes in SEO. Here’s what I’ve discovered about its impact.

    Digital PR is becoming more crucial than ever—not just a trend or a rebranded link-building tactic. The dynamics of search and discovery are evolving, and here’s why that’s important to me.

    Brand mentions, earned media, and the broader PR ecosystem are redefining how search engines and large language models perceive brands. This shift influences how I approach visibility, authority, and revenue in SEO.

    Informational search traffic is dwindling. Fewer people are clicking on expansive blog posts for top-of-funnel keywords.

    Now, the commercial value is centered around high-intent queries, like product and category pages. Digital PR perfectly aligns with these changes.

    Here are seven practical, experience-driven secrets showcasing how effective digital PR is transforming SEO in my view.

    Secret 1: Digital PR can be a direct sales activation channel

    While digital PR is often seen as a link-building or branding strategy—or recently, a way to influence AI and generative search outputs—its direct impact on revenue is sometimes overlooked.

    Being featured in the right media puts your brand before buyers, not during passive awareness but in a critical moment of consideration.

    Platforms like Google excel at understanding user intent. Digital PR leverages this by positioning you where your audience is already searching.

    Executed well, two outcomes arise:

    • Your brand gains recognition even if your site already ranks well. Familiarity grows as your name associates with credible insights.
    • Exposure boosts brand searches and direct clicks. Some readers click through immediately, while others search your brand later, entering your funnel with trust that generic searches lack.

    This effect, rooted in recency and familiarity, is hard to single out in analytics but significantly impacts commerce.

    I’ve observed this mostly within direct-to-consumer, finance, and health markets, where purchasing is highly active and intent-driven.

    In the right environment, digital PR is not just aiding sales—it’s part of the sales engine.

    Discoverability in 2026: How Digital PR and Social Search Work Together

    Secret 2: The mere exposure effect is one of digital PR’s biggest advantages

    Repeated exposure in relevant media helps build familiarity, turning it into trust and then preference. This is the mere exposure effect—vital for brand growth.

    This often happens through syndicated coverage, where a powerful story in regional or sector-specific media results in widespread mentions.

    Historically, some SEOs undervalue such coverage due to non-unique links, missing the point.

    Repetition builds a network of associations, positioning your brand alongside relevant subjects, influencing public and machine perception alike.

    An ongoing digital PR strategy, rather than sporadic major hits, accelerates familiarity growth in both human and algorithmic terms.

    Secret 3: Big campaigns come with big risk, so diversification matters

    Large digital PR campaigns are tempting, generating excitement and industry approval. However, they also consolidate risk.

    Giant campaigns might succeed tremendously or flounder silently, often failing to yield the desired links or mentions.

    The reason is simple: what marketers enjoy may not meet journalists’ needs.

    Journalists need prompt, engaging stories. If a campaign doesn’t translate well, it will flounder. Overinvestment in one idea leaves no backup.

    A diversified digital PR approach spreads resources across smaller efforts and reactive opportunities, ensuring consistent coverage.

    In the realm of digital PR, consistent reliability often trumps one-off brilliance.

    How to Build Search Visibility Before Demand Exists

    Secret 4: The journalist’s the customer

    It’s easy to forget the gatekeeper in digital PR: the journalist.

    From a brand’s angle, goals include links and authority. For journalists, it’s about stories that capture reader interest.

    They determine if your pitch succeeds, so they are, quite literally, the customer.

    Effective digital PR should first simplify journalists’ tasks by offering clear angles, credible data, timely insights, and quick responses.

    Helping journalists enriches your exposure, affecting search engines and AI systems favorably.

    Treat journalists as partners instead of mere distribution channels.

    Secret 5: Product and category page links are where SEO value is created

    Not every link is created equal in SEO. Links to product, category, and core service pages are usually more valuable than those to blogs. Yet, securing these links via traditional outreach can be challenging.

    Digital PR shines here. It places links naturally within product or service contexts, steering authority to revenue-driving pages.

    As informational content’s traffic-generating role diminishes, ranking high-intent pages grows in economic significance.

    Sometimes, a few high-quality, relevant links are more valuable than numerous superficial ones directed at top-of-funnel content.

    Digital PR planning should prioritize these target pages from the start.

    How to Make Ecommerce Product Pages Work in an AI-First World

    Secret 6: Entity lifting is now a core outcome of digital PR

    Search engines have long emphasized context, underscoring the importance of surrounding text and brand descriptions for defining brand identity.

    This has escalated with large language models, which interpret data chunks, drawing meaning from context rather than isolating links.

    Repeatedly mentioning your brand with specific topics enhances your standing in those arenas, a process known as entity lifting.

    This approach extends beyond individual pages, enhancing term and category rankings by bolstering overall authority.

    AI systems also increasingly reference consistently relevant brands.

    Digital PR offers a scalable method to spread this contextual insight.

    Secret 7: Authority comes from relevant sources and relevant sections

    Ex-Google engineer Jun Wu explains in “The Beauty of Mathematics in Computer Science” that authority stems from recognition within specific knowledge clusters.

    In simpler terms, where you’re mentioned and the context matters as much as the site’s size.

    A relevant mention within a prestigious publication’s specific section often surpasses a home-page mention in terms of value.

    Effective digital PR should focus on publications and sections aligned closely with your industry and target topics.

    That’s how authority is constructed for both search engines and AI systems.

    The New SEO Imperative: Building Your Brand

    Where Digital PR fits in SEO

    Digital PR is emerging not just as a support tool for SEO but central to how brands are discovered, understood, and trusted.

    As informational traffic wanes and high-intent competition surges, successful brands will blend relevance, repetition, and authority across earned media.

    When done right, digital PR offers all three.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Unlock Discoverability: The Synergy of Digital PR & Social Search in 2026

    Unlock Discoverability: The Synergy of Digital PR & Social Search in 2026

    Over recent months, my perspective on digital discoverability has undergone a shift.

    I’ve recognized that people aren’t just relying on Google anymore to explore new brands.

    Today, audiences discover brands on TikTok, dive deep into Reddit threads, enjoy YouTube content, and turn to AI for concise summaries, all influencing a brand’s visibility.

    Achieving discoverability isn’t about monopolizing a single platform anymore.

    Instead, it’s about maintaining a consistent presence across all the platforms where my audience is making decisions.

    In this evolving landscape, two strategies are proving invaluable: digital PR and social search.

    They aren’t separate entities but rather work together to build authority and improve visibility across various digital spaces.

    • Digital PR creates credibility, establishing trustworthiness on a large scale.
    • Social search amplifies this credibility, ensuring it’s visible and memorable, anchoring brands in cultural and real-world conversations.

    Together, they shape preferences effectively, paving one of the most dynamic paths to discoverability as we approach 2026.

    This isn’t about future speculation; it’s the reality for brands successfully capturing attention today by designing campaigns where earned authority merges with platform-native content.

    Search is no longer the destination, it’s a layer

    In the past, we viewed search as a destination—a tool to capture intent and deliver answers.

    Our focus was ranking, optimizing, and climbing to the top.

    However, this approach doesn’t hold anymore. Search is now a layer atop behaviors, not their centerpiece.

    It’s woven into various platforms, formats, and experiences. People don’t pause their actions to perform a search; it’s often an ongoing background process.

    Users might hear about a brand on TikTok, explore public opinions on Reddit, watch a detailed YouTube breakdown, and ask an AI for a summary on pros and cons.

    Each step embodies modern search powered by ongoing intent.

    For my brand, arriving only when a person types into Google is far too late, often missing the mark as decisions are shaped beforehand.

    This necessitates a more comprehensive approach to discoverability, extending beyond my website, ensuring we’re part of the entire search universe.

    Digital PR and social search become critical tools in achieving a broad, yet cohesive presence across these varied platforms.

    Social search is where intent becomes belief

    Intent now grows through exposure, reinforcement, and social credibility across digital platforms.

    Tools like TikTok, Reddit, or YouTube aren’t just for getting answers. They’re for validating what users already sense about a brand.

    Social search fosters belief, whereas traditional search feels more transactional, often verifying availability or comparing options.

    • A TikTok demo reduces uncertainty.
    • Reddit threads add genuine context.
    • YouTube breakdowns provide additional safety.

    This transforms social platforms into pivotal spaces where choices are affirmed before users reach traditional search engines.

    Social search’s power lies in steering what users are inclined to trust, significantly enhancing cross-platform discoverability.

    It’s about showing up and participating in shaping belief, not just aiming for engagement.

    Where digital PR and social search meet, they offer a robust bid for the brand narrative’s authenticity and amplify the impact of third-party validations.

    Digital PR anchors belief with credibility

    If social search fosters belief, it’s digital PR that lends that belief the gravitas of authority.

    Digital PR should be seen beyond links or temporary coverage. It provides a robust foundation of third-party validation recognized by algorithms and audiences.

    It addresses the question of credibility, turning claims into supported truths.

    By anchoring ideas in authority, digital PR shifts perceptions beyond mere brand visibility to genuine trust.

    Real power emerges when digital PR shapes the groundwork for belief through source authority, narrative consistency, and portability across platforms.

    Together, they enable campaigns and stories to become enduring elements of discoverability.

    Operationalizing synergy for 2026 and beyond

    To achieve this synergy, I must embrace a new mindset, aligning my digital PR and social strategies under a singular focus: discoverability.

    My efforts should not only be about gaining coverage or broad engagement but rather about moving conversations to where they naturally fit into the evolving search universe.

    By planning campaigns that travel brilliantly across platforms, I ensure my brand is ever-present where authority meets belief.

    Success is now about creating a persistent story that resonates across multiple contexts, truly achieving my ultimate goal of enhanced discoverability in 2026.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot