Category: Opinion

  • Exploring the Agentic Web: Are We Prepared?

    Exploring the Agentic Web: Are We Prepared?

    The rapid emergence of the agentic web has left many of us pondering: Are we genuinely ready for this new frontier?

    To get to the bottom of this, let’s start by addressing some foundational questions:

    What’s the agentic web? How can it be utilized? What benefits and drawbacks does it present?

    This piece is not aimed at pressuring AI skeptics to dismiss their valid queries regarding the agentic web.

    Additionally, it doesn’t pass judgment on how you, as an individual or professional, engage with this digital landscape.

    With diverse opinions swirling around the agentic web, I hope to offer some clarity, devoid of any marketing varnish.

    Disclosure: While I am employed by Microsoft and have faith in their direction with the agentic web, my aim is to maintain a platform-neutral perspective.

    Now let’s delve deeper into what exactly the agentic web entails.

    The agentic web consists of advanced tools or agents, tailored to our preferences, that perform time-consuming tasks with our permission.

    For instance, using one-click checkout allows me to transmit my payment details to a merchant seamlessly.

    Neither the merchant nor I need to manage the minutiae; instead, I just consent to the transaction.

    Curious about how AI defines the agentic web, I posed this question to four AI models, discovering intriguing variations in their answers.

    Copilot describes it as a layer of the internet where AI agents turn human intentions into outcomes, keeping user choice intact. Gemini, Perplexity, and Claude offer similar but varyingly nuanced definitions.

    Understanding these varying views helps underscore the fact that AI models are trained on differing data, resulting in diverse responses.

    The clear sentiment divide arises from whether we view the agentic web as a user-friendly layer or an overwhelming digital entity.

    Gemini mentions APIs, crucial for communicating within this space, emphasizing how saved preferences will increasingly play a role.

    To truly grasp the agentic web, we must explore two protocols, ACP and UCP, that underpin its operations.

    Dig deeper: AI agents in SEO: What you need to know

    The Agentic Commerce Protocol (ACP) focuses on actions initiated by express user intent, streamlining transactions via standardized AI interactions.

    Meanwhile, the Universal Commerce Protocol (UCP) encompasses the whole shopping experience, facilitating interactions across platforms and payment systems.

    ACP and UCP are not competitors; rather, they enhance different stages of the user journey, supporting precise or exploratory shopping needs.

    So, what is the agentic web? Truthfully, it’s still evolving alongside user behavior, placing us in a position to shape its destiny.

    Next, let’s explore how we can harness the agentic web, along with its potential benefits and pitfalls.

    Dig deeper: The Great Decoupling of search and the birth of the agentic web

    Based on the unified theme of autonomous actions in its definitions, here are practical applications of the agentic web.

    Consider delving into Elmer Boutin’s technical exploration of how schema will affect agentic web compatibility. Benjamin Wenner offers insights into PPC management in a full agentic ecosystem.

    Let’s now focus on some consumer-centric applications, presented through tasks you’re already familiar with.

    Five consumer applications of the agentic web are currently operational or in development.

    1. Intent-driven Commerce

    For example, stating “Find me the best running shoes under $150” allows an agent to handle the entire commerce process, optimizing around user intent.

    ```json
{
  "alt": "Poll about using agentic commerce solutions, showing voting results.",
  "caption": "Curious about agentic commerce solutions like Copilot Checkout? This poll reveals varying levels of interest among participants.",
  "description": "This image displays a poll asking if users plan to utilize agentic commerce solutions like Copilot Checkout. Options include 'Yes!' (37%), 'I will when they launch for me' (21%), and 'No (please share context)' (42%). The poll has received 57 votes, with one day left to vote. The results showcase diverse opinions on adopting new commerce technologies."
}
```

    By processing user intent, these agents provide a streamlined shopping experience, balancing guidance and user control.

    Consumers enjoy reduced decision fatigue, while brands benefit from enhanced engagement and more direct consumer interactions.

    2. Brand-owned AI Assistants

    Brands can deploy their own AI agents, maintaining control over their customer interactions and providing consistently reliable support.

    By utilizing first-party data, these assistants deliver faster responses while upholding the brand’s voice and accountability.

    They enable global participation without sacrificing brand identity to larger platforms.

    3. Autonomous Task Completion

    Users can assign outcomes like “Prepare a weekly performance summary,” with agents autonomously executing the necessary tasks.

    As agents mature, they evolve from task managers to independent analysts, optimizing results based on initial input.

    This shift enables professionals to focus on strategic insights rather than logistics.

    4. Agent-to-Agent Coordination

    Agents can negotiate and coordinate with each other, streamlining processes like procurement or media buying.

    This could revolutionize consumer and professional interactions, making them quicker and more efficient.

    5. Continuous Optimization

    Agents continuously learn from every action they take, improving their performance over time.

    As they learn, interactions become increasingly personalized, and systems naturally enhance their effectiveness.

    Understanding the pros and cons of the agentic web helps us make informed decisions about its integration into our lives.

    Pros of Embracing the Agentic Web

    We’ve already been conditioned to appreciate convenience. The agentic web proposes a future that embraces this concept fully.

    Simplified interactions, characterized by interpreted user intent, represent the epitome of this streamlined process.

    Cons of Embracing the Agentic Web

    Brands may face challenges in adapting their content to align with AI systems while preserving human accessibility.

    There’s the hazard of designing primarily for machines at the risk of losing the human touch.

    Pros of Resisting the Agentic Web

    Some users value human-centric experiences, suspicious of automated systems—leaning away can help build trust with this audience.

    Cons of Resisting the Agentic Web

    A complete detachment could impact visibility and limit access to emerging opportunities as the digital landscape evolves.

    Many existing systems are built to integrate, preserving fundamental infrastructure rather than replacing it completely.

    The agentic web is still evolving based on how we engage with it. Our understanding of it will guide us in determining its role in our lives.


    Inspired by this post on Search Engine Land.


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  • How Organizational Issues Cause SEO Challenges, Not Technical Ones

    How Organizational Issues Cause SEO Challenges, Not Technical Ones

    Through over 20 years of experience in varying SEO roles, I’ve witnessed a recurring theme: the root of SEO performance issues often stems from organizational factors, not technical glitches.

    Many times, problems manifest through decision rights, lack of ownership, and insufficient processes. These often precede noticeable traffic dips, obfuscating the real issues beneath the surface.

    The technical fixes may expose symptoms but rarely uncover why progress has stalled.

    No governance

    The real limitations become apparent much earlier, rooted in reporting structures and decision-making authority. When SEO stumbles, governance—or lack thereof—is often to blame.

    I discovered that when ownership of CMS templates was unclear or when cross-departmental priorities conflicted, SEO suffered. It wasn’t until I understood governance that the underlying issues became clear.

    Only two companies in my career had the right conditions, with clear ownership and structured release pathways. Leaders recognized the importance of deliberately managing visibility, rather than reacting post-traffic drops.

    Elsewhere, metadata and schema often didn’t limit performance. Organizational behavior did.

    Beware of drift

    Quarterly sales pressures often lead to sites making numerous small, seemingly innocuous changes that accumulate over time. These can range from navigation alterations by a new UX hire to content wording tweaks.

    Individually, these shifts may not seem detrimental; however, collectively, they contribute to a decline in performance. This is something industry commentary often glosses over—while tangible technical fixes are more teachable, they aren’t where SEO outcomes are typically determined.

    SEO loses power when it lives in the wrong place

    I’ve observed how such drift can negatively impact rankings, with SEO unjustly taking the fall. Often, the actual cause was a lack of governance, which became apparent when outside agencies confirmed conclusions I had already reached.

    The placement of SEO within an organization’s structure profoundly influences whether potential issues are identified early or only discovered post-launch. It affects whether changes are implemented promptly or languish for months.

    SEO embedded under marketing, product, or IT each faces a unique set of challenges, restricting its effectiveness when placed too low on the organizational hierarchy.

    Changes by engineering, product, or marketing often ship without SEO input, leading to misalignments that can reduce the efficacy of SEO strategies.

    Positioning the SEO function

    When SEO lacks proper placement within the organizational framework, it devolves into a reactive, cleanup role. The best results come when SEO is sufficiently integrated to influence early decision-making processes.

    Organizations where SEO achieved significant success had the SEO function near leadership, ensuring visibility into upcoming changes and the ability to coordinate across departments.

    The most favorable outcomes arose in environments where SEO acted as an integrated part of the infrastructure, reinforcing its importance as a contributor to long-term visibility and consistency.


    Inspired by this post on Search Engine Land.


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  • How Human Experience Shapes Your Search Visibility Today

    How Human Experience Shapes Your Search Visibility Today

    I’ve noticed that in today’s digital landscape, our search performance is heavily influenced by how people engage with and trust our content, even beyond the initial click. This concept of Human Experience Optimization (HXO) connects SEO with UX, conversion rate optimization (CRO), and brand signals.

    I used to think of SEO as simply figuring out what algorithms liked best—focusing on keywords, links, and technical details. But now, things have changed.

    Now, my visibility is more about earning trust and being useful. It’s not just about having the right signals or being easy to crawl; it’s about experience.

    Search engines today pay attention to how people interact with brands over time, marking the rise of HXO. This involves enhancing how individuals experience, trust, and engage with my brand across search, content, product, and conversion channels.

    Instead of replacing SEO, HXO broadens its perspective to match how search engines now evaluate performance. Experience, engagement, and credibility are becoming essential parts of visibility itself.

    Let’s dive into why HXO is crucial now and its influence on the merger of SEO, UX, and conversion strategies.

    Why HXO Matters Now

    Contemporary search engines now reward outcomes over mere tactics. They align with Google’s focus on user satisfaction rather than isolated page signals.

    In practice, we see signals relating to questions like: Do users engage or bounce? Do they come back? Do they recognize the brand later? Do they trust the information enough to act on it?

    Today, visibility is influenced by overlapping forces like user behavior signals, brand signals, and content authenticity.

    HXO arises in response to the saturation of AI-generated content and diminishing returns from traditional SEO tactics unsupported by a strong experience and brand coherence.

    In a nutshell, ignoring human experience is no longer an option if we want to remain competitive.

    The Convergence: SEO, UX, and CRO Are No Longer Separate

    SEO, UX, and CRO used to operate as distinct disciplines. But that separation doesn’t work anymore.

    In modern search experiences, traffic alone means little without engagement. Engagement without a path to action limits impact. Conversion struggles without trust.

    HXO acts as a unifying layer: SEO determines arrival, UX ensures understanding, and CRO transforms understanding into action.

    In this realm, optimization focuses on supporting attention and trust over time, not just securing a single click.

    E-E-A-T is a Business System, Not Content Guidelines

    A common misconception is that E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) can be “added” to content with elements like author bios and citations. These help, but E-E-A-T requires more—it’s about long-term brand credibility.

    E-E-A-T involves real expertise, transparency, consistency, and accountability, evaluated holistically by search engines.

    The consistent systems and patterns reinforce E-E-A-T beyond little tweaks on a page.

    First-Hand Experience Signals Are the New Differentiator

    Today’s search landscape is filled with well-structured content. First-hand experience, such as original research and insights from lived experiences, sets content apart from mere aggregation.

    Creators and operators excel by providing insights that reflect direct involvement and real-world expertise.

    This emphasizes the importance of the human element in content creation.

    Helpful Content Is a Brand Problem, Not an SEO Problem

    Content that fails to be helpful often reflects a lack of clarity in a brand’s positioning and how it serves its audience.

    When I look at content that resonates well, it reflects actual understanding of the audience and consistent intent throughout brand interactions.

    SEO aids in discoverability, but genuine helpfulness requires brand consistency and deeper alignment.

    Closing these gaps involves understanding how audiences experience and engage with the brand beyond a single interaction.

    How to Start Practicing Human Experience Optimization

    Practicing HXO starts with understanding people and why they search, not just focusing on keywords. It involves transforming keyword strategies into audience strategies and auditing experience across all user touchpoints.

    1. Shift to Audience Strategy

    Keywords are informative, but we need deeper insights into motivations and contexts.

    2. Audit the Complete Experience

    Consider trust, clarity, and consistency across all channels and touchpoints, not just individual pages.

    3. Align Teams Around Experience Outcomes

    Bridging gaps between marketing, product, content, and design teams can achieve more cohesive user experiences.

    4. Measure What Truly Matters

    Beyond traditional metrics, focus on engagement quality, brand recall, and trust-driven conversions.

    Optimize for Humans to Earn Algorithms

    Ultimately, HXO is about consistently delivering valuable experiences. Reliable brands in search are grounded in real experiences and useful content, earning visibility through the lasting impressions left on users.


    Inspired by this post on Search Engine Land.


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  • Understanding ChatGPT Ads: Behavior Over Targeting

    Understanding ChatGPT Ads: Behavior Over Targeting

    Ads in ChatGPT signify a major transition from focusing on keyword intent to understanding user behavior. This evolution changes how we approach relevance, creativity, and performance measurement.

    Currently, ads are being tested in ChatGPT in the U.S., appearing to various users across different account types. For the first time, we see advertising stepping into an AI environment designed for answering queries, which fundamentally changes the game for marketers like me.

    AI has been an integral part of ad creation and planning across platforms like Google and LinkedIn for years. However, placing advertisements inside an AI that people trust to assist with thinking, decision-making, and actions is a completely new challenge. It’s not just another channel in our existing media strategy.

    The primary concern for us isn’t targeting, but understanding psychology. Replicating strategies successful in search or social may lead to disappointing performance or even damage trust.

    To thrive, brands must comprehend why users engage with ChatGPT, and what implications that has for capturing attention and enhancing the customer journey.

    ChatGPT is a Task Environment, Not a Feed

    When people use ChatGPT, they have a purpose. Whether it’s:

    • Solving a specific problem.
    • Refining a shortlist.
    • Planning a trip.
    • Writing something.
    • Making sense of a complex decision.

    Unlike feed-based platforms, where users passively scroll and consume content, ChatGPT users are goal-oriented.

    In such a task-centered environment, behavior shifts:

    • Goal shielding: Users focus narrowly on finishing tasks, filtering out distractions that don’t contribute.
    • Interruption aversion: When focusing, unexpected distractions feel more annoying.
    • Tunnel focus: Clarity and speed take priority over exploration.

    This means gaining clicks will be more challenging than some advertisers might anticipate. If ads don’t assist users in progressing their tasks, they’ll seem irrelevant, no matter how topically aligned they might be.

    Considering trust in AI is still being established, tolerance for distracting ads is particularly low.

    Dig deeper: OpenAI moves on ChatGPT ads with impression-based launch

    Behavior Over Search Volume: Designing a Strategy for ChatGPT

    Traditionally, search volume has directed our planning.

    Keywords informed us about what users sought, how often, and the level of demand competition. This framework informed both SEO and paid media strategies.

    However, ChatGPT changes this model. Instead of searching for keywords, users describe situations, ask detailed questions, and pursue outcomes beyond mere information.

    Without query data to optimize, our success depends on understanding:

    • The task the user aims to complete.
    • The journey stages they’re outsourcing to AI.
    • The specific help they need at that moment.

    This is where behavioral insights replace keyword demand as the foundational strategy.

    Transitioning from Keyword Intent to Behavioral Targeting

    Instead of centering our plans around queries, we should focus on behavior modes, representing the mindset of users when they turn to ChatGPT.

    We can consider these modes as follows:

    • Explore mode: Users seek inspiration or shape a perspective.
    • Ads here should ignite ideas, offer options, or reframe the problem.
    • Reduce mode: Users aim to narrow choices effectively.
    • Ads should clarify differences, simplifying decisions.
    • Confirm mode: When users want reassurance, trust trials such as reviews or guarantees matter most.
    • Act mode: Users aim to complete the task, so ads that eliminate friction, like clear pricing, will succeed.

    These modes correspond with recognized human drivers in search behavior: forming perspectives, informing, reassuring, and simplifying. ChatGPT condenses these moments into one interface.

    Dig deeper: What AI means for paid media, user behavior, and brand visibility


    In ChatGPT, Relevance is About Utility

    The key shift is that relevance in ChatGPT is not merely about a match but about functionality.

    An ad can align with a category but still fall short if it doesn’t help users with their tasks. Anything creating extra work or that distracts from goals feels frustrating in a task environment.

    High-performing ads are likely to act less like traditional ads, and more like:

    • Tools.
    • Templates.
    • Guides.
    • Checklists.
    • Shortcuts.
    • Decision aids.

    Such ads integrate seamlessly into user workflows.

    Generic brand ads, mere awareness messages, and content serving as detours are likely to underperform.

    Dig deeper: Your ads are dying: How to spot and stop creative fatigue before it tanks performance

    Helpful Content Bridges Channels

    The assets that create compelling ChatGPT ads—guides, frameworks, and reassurance-focused content—do more than boost paid performance. They enhance authority for SEO, earn media coverage for digital PR, and strengthen brand trust across social and owned channels.

    Here, silos can break performance.

    Paid media teams cannot create “helpful ads” in isolation while SEO focuses on authority, PR works on trust signals, and brand teams shape voice independently. AI-driven discovery blends these signals.

    The best-performing ads may rely on:

    • Brand voice for consistency.
    • Trusted voice from reviews, experts, or validation.
    • Amplified voice through media coverage and authority.

    The line between advertising, content, and credibility is increasingly blurred.

    Rethinking Measurement

    Evaluating ChatGPT ads purely on click-through rates risks missing their broader influence. These ads might sway decisions without triggering immediate clicks, aiding in brand recall or re-entry through different channels.

    More significant indicators might include:

    • Shortlist inclusions.
    • Brand recall.
    • Assisted conversions.
    • Branded search increases.
    • Direct traffic improvements.
    • Conversion boosts further down the line.

    This underscores the need for cross-department collaboration. If performance spans the customer journey, so too must measurement and accountability.

    Dig deeper: AI tools for PPC, AI search, and social campaigns: What’s worth using now

    Winning Brands Master Behavior

    This is not just a new ad format; it’s a shift in behavior. Brands that succeed will deeply understand:

    • What people use ChatGPT for.
    • Journey stages being shifted to AI.
    • How to support these moments without losing trust.

    We should revisit jobs-to-be-done thinking, mapping actions leading up to a purchase, inquiry, or commitment, and identify where AI reduces effort, uncertainty, or complexity.

    This approach empowers us to ask, not simply, “how do we advertise here?” but “how can we be genuinely helpful when it counts most?”

    Adopting this mindset will not only shape performance in ChatGPT but influence the broader future of AI-led discovery, where understanding behavioral intent will surpass the old focus on keywords.


    Inspired by this post on Search Engine Land.


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  • Unlocking Paid Media Success: The Real Structural Challenge

    Unlocking Paid Media Success: The Real Structural Challenge

    For years, I’ve been part of countless discussions about paid media, all revolving around the same question: should we focus on building in-house teams or outsource to agencies?

    While this debate is certainly valid, it often overlooks the core issue at hand. The real challenge isn’t where paid media is placed within our organizational chart. Instead, it’s all about how we structure performance leadership.

    Many companies, including the ones I’m familiar with, navigate Google Ads and other paid channels with capable teams, solid budgets, and well-documented best practices. Campaigns are active. Dashboards appear full. We keep optimizing as scheduled. Yet:

    • Results stall. 
    • Pipelines flatten. 
    • Budgets get questioned. 
    • Confidence in paid advertising erodes.

    This is hardly a talent issue. Rather, it’s often a structural one.

    The Plateau Most In-House Teams Eventually Hit

    Across several B2B paid media accounts, ranging from SaaS to service businesses with monthly spends in the five-figure range, I’ve noticed a recurring pattern.

    Performance doesn’t just drop overnight. It slows gradually.

    Campaigns continue running. Costs seem stable. We still gather leads. But growth comes to a halt. Leadership observes motion without gaining insight. Decisions turn reactive. Paid media shifts from a growth engine to a cost center that must justify its existence.

    The gap lies not in effort or execution. Over time, strategy narrows when teams work in isolation.

    Why ‘More Headcount’ Rarely Fixes the Problem

    When performance slows, the immediate response is often to hire more staff. This could be a new specialist, a channel owner, or someone in a more senior position.

    While additional resources might alleviate workload, simply increasing headcount doesn’t usually solve the actual problem. 

    In my experience with in-house teams, three challenges are consistently present:

    1. Tracking and Leadership Visibility

    Often, leadership teams lack a unified and clear view of how paid media impacts pipeline and revenue. The data is out there, but it’s scattered across different platforms, tools, and dashboards. 

    Without strong integrations, even well-executed campaigns operate with weak feedback loops, which limits their potential for improvement.

    2. Structure and Skill Ceiling

    Many teams strive to adhere to proven best practices. The problem isn’t their intent but the context. What works for one company or growth stage can be ineffective, or even detrimental, for another. 

    Without external benchmarks or fresh perspectives, teams struggle to determine what truly applies to our business.

    3. Lack of Systematic Testing

    Daily execution consumes the available capacity. Teams focus on maintaining stability instead of driving performance forward. Testing becomes intimidating despite the fact that real gains usually emerge from the few experiments that succeed.

    Over time, this creates an illusion of optimization: steady activity without significant progress.

    The Same Mistake Happens Before Ads Even Launch

    These structural problems don’t just affect companies already engaged in paid media. They often arise earlier, before the first campaigns even begin.

    In many B2B companies, paid advertising becomes relevant when growth from outbound sales, partnerships, or organic channels begins to slow. 

    Budgets are cautiously allocated. Execution is delegated. Results are expected to spring forth from platform defaults.

    What’s typically missing is strategic ownership:

    • Clear definitions of success that go beyond surface-level metrics
    • Tracking that ties spend to pipeline, not just lead volume
    • A testing roadmap aligned with revenue goals

    Without this foundation, initial results are often disappointing. Budgets are cut. Confidence wanes. Paid media is labeled ineffective before it gets a real chance to show its worth.

    Ironically, this early phase is where an external perspective can have the greatest long-term impact. It’s also the phase when companies are least likely to seek it.

    The Structural Advantage of Outsourced Performance Leadership

    Outsourcing is often seen as a cost-cutting measure or a way to boost execution power. In reality, its major advantage lies in perspective.

    External performance teams work across various accounts, industries, and growth stages. They:

    • Identify patterns earlier. 
    • Recognize when platform recommendations favor spend growth over business outcomes. 
    • Challenge assumptions that internal teams may no longer question.

    That outside view is crucial in areas like tracking architecture, platform integrations, and account structure, where partial adoption of best practices can subtly undermine performance.

    A typical scenario looks like this: 

    • Teams adhere to platform guidance but leave underlying martech gaps unresolved. 
    • Systems fail to communicate effectively. 
    • Optimization signals weaken. 
    • Budget efficiency drops, even though campaigns seem fully compliant.

    When Outsourcing Actually Works — And When It Doesn’t

    Outsourcing isn’t a one-size-fits-all solution. It falters when companies expect external partners to improve performance in isolation, or when strategy and execution exist in separate realms.

    It thrives best as a hybrid model:

    • Internal teams manage execution and business context
    • External experts provide strategic direction, structural adjustments, and continuous challenge

    In this structure, partners don’t replace teams. They elevate them.

    That’s why a specialized Google Ads agency offers the most value when our goal goes beyond running campaigns to transform paid media into a predictable, scalable growth driver.

    A Smarter Model: External Strategy, Internal Execution

    High-performing organizations increasingly separate strategy from execution volume.

    We bring in outside expertise not because something is broken, but because we desire:

    • Objective assessments of performance and structure.
    • Stronger attribution and tracking foundations.
    • Disciplined experimentation frameworks.
    • Clear accountability at the leadership level.

    This method builds momentum before budgets get cut, and not after results decline. It also helps leadership comprehend why paid media performs the way it does, thereby restoring confidence in the channel.

    What High-Performing Companies Do Differently

    Organizations that avoid prolonged plateaus tend to:

    • Consider paid media a system, not a standalone channel.
    • Invest early in clear tracking and robust integrations.
    • Welcome external challenges before performance drops.
    • Accept that most tests will fail, knowing the few successful ones will compound.

    In this context, outsourcing isn’t about cost efficiency. It’s about maintaining strategic acuity as platforms and markets evolve.

    Final Thought

    The in-house versus outsourced debate oversimplifies a deeper question: who owns performance direction, and how often is it challenged?

    As paid media platforms continuously evolve and automate, the companies that sustain growth aren’t those with the largest teams, but those with the clearest perspective.


    Inspired by this post on Search Engine Land.


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  • SEO as a Brand and Performance Channel: The New Reality

    SEO as a Brand and Performance Channel: The New Reality

    I’ve come to realize that SEO now serves as both a brand and performance channel. The traditional traffic model has been disrupted by AI Overviews and zero-click SERPs, making brand strength crucial for SEO ROI.

    For years, SEO was straightforward: rank higher, get more traffic, then boost the sales pipeline. However, this simple equation is rapidly evolving, much to the frustration of marketing leaders.

    With AI Overviews and users getting answers directly from LLMs, the idea of “rank and receive traffic and leads” is less effective now. Even top keyword positions don’t guarantee the clicks they once did.

    This shift has sparked challenging discussions in boardrooms. Executives often question, “If traffic is down, how can we measure SEO success?”

    It’s obvious now: the traffic model has changed, yet the demand for ROI remains. We must treat SEO as a brand-dependent performance channel, not just a traffic provider.

    Why traffic and pipeline are no longer in lockstep

    Linear attribution has never fully reflected the dynamic nature of organic search. While ChatGPT isn’t replacing Google, it’s augmenting it.

    Users now verify information across platforms due to skepticism of search and LLM results. Where research once happened solely within Google’s ecosystem, it has become more scattered.

    Today’s organic search is akin to a pinball machine, with buyers bouncing across channels unpredictably. This introduces complexity that traditional attribution software struggles to follow.

    Such complexity has broken the linearity executives crave. Traffic and pipeline charts, once aligned, now often diverge.

    Across B2B SaaS portfolios, a common pattern emerges: organic sessions may be flat or declining, yet rankings for high-intent terms stay stable, and the pipeline from organic search grows.

    This mismatch doesn’t indicate SEO failure. Rather, it shows that traffic is no longer a reliable business impact measure.

    The traffic lost to zero-click searches often consists of informational, low-intent content. What remains is higher-intent traffic, closer to conversion.

    We’re seeing the “atomization” of search demand. Short-head, broad keywords are declining, while specific, long-tail queries with higher intent are rising.

    Many leaders mistakenly react to dropping sessions by pushing for quantity, aiming to regain the lost numbers through top-of-funnel content. This often inflates vanity metrics without delivering qualified leads.

    ```json
{
  "alt": "Metrics table showing increases in demo requests, pipelines, and other areas, but a 2% decrease in organic traffic highlighted.",
  "caption": "Despite organic traffic slightly dipping by 2%, other key metrics like demo requests and conversion rates soar, showcasing business growth.",
  "description": "This image displays a metrics table with a focus on conversion and pipeline metrics. It indicates substantial increases in demo requests (up 130%) and other areas, despite a highlighted 2% decrease in organic traffic. The data suggests overall positive performance with significant growth in multiple areas, emphasizing the message 'Traffic Flat → Revenue Up!' SEO, performance metrics, and business analytics keywords are relevant."
}
```

    SEO ROI is now the downstream outcome of brand traction

    For years, SEO was viewed as a pure performance channel. We believed optimizing some keywords would suffice.

    In reality, SEO has always depended on brand strength. The rise of AI-driven engines highlights this, expecting reputations, not just keywords.

    If your brand lacks authority, technical optimizations alone won’t elevate your status. Brand strength determines organic performance limits. Search engines seek web-wide consensus, and weak associations hinder results.

    Brand strength for LLMs means owning topical authority, aligning with customer queries, being validated by trusted sources, and having clear positioning.

    SEO captures pre-existing demand validated by your brand, not creating it from nothing.

    The new defensibility metrics for SEO

    As traffic no longer headlines KPIs, new defensibility metrics are necessary. Successful teams focus on revenue and reputation impact, not just volume.

    Metrics proving business impact include stable top-10 rankings for commercial keywords, increased Ahrefs traffic value, stable solution page traffic, growing homepage traffic, and developing LLM referral traffic.

    When pipeline per organic visitor rises, even with falling sessions, the dialogue shifts from “SEO is broken” to recognizing SEO’s evolution.

    Modern SEO is moving from acquisition to influence

    Successful SEO isn’t about recovering traffic but influencing buyer decisions and enhancing organic visibility. In an AI-first context, zero-click doesn’t imply zero-value.

    SEO remains key in building market readiness, positioning brands as authorities even before buyers enter the funnel.


    Inspired by this post on Search Engine Land.


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  • Boost SEO Success Without Compromising Your Sales Funnel

    Boost SEO Success Without Compromising Your Sales Funnel

    I’ve noticed that while many search teams are celebrating improved rankings, greater visibility, and a surge in traffic, the feedback regarding pipeline, revenue, and sales outcomes isn’t exactly echoing this enthusiasm.

    Even when SEO KPIs are all green and the graphs are trending upward, the business outcomes don’t always reflect this apparent success.

    Search performance can seem robust on the surface, yet falter in areas that the search teams don’t own or fully understand.

    The immediate inclination might be to examine attribution models, data quality, or the KPIs themselves.

    However, often the breakdown occurs post-click, in spaces the search teams don’t control.

    Despite advancements in automation, software, and workflows making search efforts easier to scale, there’s more to it than execution; it’s about understanding and control.

    This is a long-standing challenge, one that scaling often exacerbates.

    An early halt or too shallow an analysis limits the understanding of performance within the broader business context.

    In larger organizations, siloed operations widen the gap. Without tight CRM and sales integration with search, the journey often lacks a unified owner.

    Leadership pressure can further exacerbate these issues.

    When results appear promising yet fail to impact the bottom line, the ambiguity becomes troubling. Though not new, this dynamic is increasingly apparent.

    To bridge these gaps, focusing on five key breakpoints can be pivotal.

    1. Intent Misalignment

    Intent forms the backbone of how we tailor content and target our audiences through search, yet it’s sometimes out of sync with deeper factors like buying stages, urgency, or seasonal sales expectations.

    Even when aligned with the latest research, the readiness or stage of a prospect can remain elusive.

    Understanding the problem a searcher aims to solve and comparing it with sales’ positioning can bridge the gap between search and actual sales, refining the way teams optimize their approaches.

    Dig deeper: How to explain flat traffic when SEO is actually working

    2. Conversion Friction

    It’s awkward when leads driven by search don’t convert to customers, sparking tensions around conversion quality.

    While technically compliant leads meet criteria, issues like unaligned CTAs or vague follow-ups often go unnoticed, focusing on conversion rate optimization as a quick fix when it’s usually more complex.

    Conversions rarely guarantee committed customers, making it crucial to evaluate if the initial search promise and subsequent visitor journey align with their intentions.

    Dig deeper: 6 SEO tests to help improve traffic, engagement, and conversions

    3. Lead Qualification Gaps

    Achieving a shared understanding of what qualifies as a marketing or sales-ready lead is vital, particularly when definitions, scoring models, and expectations vary.

    Aligning on these criteria aids in demonstrating search’s true value to the business, though it may require navigating uncomfortable discussions.

    Dig deeper: How to monitor your website’s performance and SEO metrics

    4. Sales Handoff and Follow-up

    This point often stings the most, whether you’re part of marketing-to-sales transitions or not.

    Speed, messaging, and context must align from the start to secure a promising lead.

    It’s essential to understand sales’ awareness of lead origins, their follow-up speed, and whether messaging resonates with initial intent.

    Dig deeper: 9 things to do when SEO is great but sales and leads are terrible

    5. Measurement Blind Spots

    Even when everything seems right, lack of CRM movement prompts teams to fall back on independent metrics, creating trust issues.

    A lack of shared KPIs or a core source of truth allows for incomplete decision-making.

    Dig deeper: Measuring what matters in a post-SEO world

    The Cost of Not Knowing What’s Working

    I’m not critiquing search leaders; these challenges aren’t new, nor are they solely search team’s problems, but cross-functional issues needing better communication, agreed definitions, and ownership.

    Rather than perfection, marketing leaders need actionable insights and a unified understanding of results.

    The true danger isn’t declining performance but thriving metrics with unclear reasons behind them, impeding confident scaling efforts.

    Every move aims to enhance credibility and influence far beyond traditional KPI mastery. Embrace understanding over sheer execution.


    Inspired by this post on Search Engine Land.


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  • Mastering the Art of Finding Exceptional Content Writers

    Mastering the Art of Finding Exceptional Content Writers

    How to find great writers (and other content marketing struggles)

    I’ve realized that when it comes to content, you truly get what you pay for. In 2026, I’m constantly exploring new ways to locate outstanding writers, from job boards to LinkedIn and more.

    As a marketer, I find myself spoiled for choice when it comes to sources for stellar content. Nowadays, there are more tools and job boards available, making it simpler to locate talented writers and generate compelling content.

    However, this abundance also brings challenges, such as prioritizing speed and cost over quality.

    If I’m aiming for great (not just good) content, I know some sources are more reliable than others.

    This guide will help me find top-tier writers and build a content strategy that ensures quality without sacrificing speed.

    Struggle 1: What qualifies as a ‘great’ content writer?

    Identifying a great writer can feel a lot like evaluating a new love interest. They may look good on paper and make a strong first impression, but how can I be sure they’re the right fit?

    Just like a love interest, I need to invest time to truly know the writer. But that doesn’t mean I go in blindly. Here’s what I focus on to find the perfect match without wasting time.

    Evaluate the fundamentals

    I look for writers with a strong grasp of grammar, spelling, clarity, and structure. Instead of formal tests, I examine their portfolios and content samples for quality.

    A few email exchanges during the hiring process can also reveal their communication skills and confidence.

    Make sure they know how to write for people, not bots

    Great writers understand that search engines favor content crafted for people rather than formulas. When evaluating samples, I keep an eye out for readability and SEO expertise.

    I try to read through and ask myself, “Would this content be useful and engaging for my target audience?” If the answer is no, I know search engines won’t favor it either.

    Choose effective copywriters

    For a solid return on investment, I prefer writers who possess SEO copywriting skills beyond basic SEO tactics.

    While driving traffic is essential, skilled copywriters guide readers toward action, be it signing up, clicking through, or making a purchase.

    Assess how easily understandable their work is

    I put importance on checking readability scores for potential writers. Sometimes, an article may appear well-written but holds a low score for readability, signaling a lack of clarity.

    Find writers that adapt to the audience

    My ideal writer not only understands the product or target demographic but deeply connects with the audience’s mindset. I ask for niche-specific samples to ensure they understand my audience’s needs and frustrations.

    Dig deeper: How SEO can collaborate with content teams

    Struggle 2: Where can I find great content writers?

    In my experience, you can find “good” writers almost anywhere. However, I notice a difference between choosing Fiverr and more selective platforms offering better screening opportunities.

    Blogging sites

    I often look for SEO content writers on blogging sites like Medium, Substack, and LinkedIn. These platforms allow me to see real-time writing and communication styles.

    Google and other search engines

    Google is a resourceful tool for finding high-quality writers. Those who maintain their own websites often showcase their understanding of SEO through their content marketing efforts.

    LinkedIn and Facebook groups

    By joining writer and freelancer groups on LinkedIn and Facebook, I observe conversations and discover writers who share their work and thoughts.

    Peer recommendations

    I don’t shy away from asking for recommendations. Strong writers often get referrals in their communities. Business owners frequently suggest top performers known for real-world project success.

    Dig deeper: How to build an effective content strategy for 2026

    Struggle 3: Do I need an ‘SOP’ for my writers?

    Absolutely. Even when working with experienced writers who manage multiple clients, each has unique preferences and styles. I use standard operating procedures (SOPs) to minimize guesswork and enhance clarity.

    Many businesses misinterpret the struggle to find writers with the challenge of retaining them. Without clear directions and SOPs, there’s room for confusion. I’ve found that SOPs save time and keep everyone on the same page.

    If writing SOPs feels overwhelming, I consult with operations specialists who can streamline the process, boosting my ROI and ensuring writer satisfaction.

    Dig deeper: How to document your content strategy

    Get the newsletter search marketers rely on.

    MktoForms2.loadForm(“https://app-sj02.marketo.com”, “727-ZQE-044”, 16298, function(form) { // form.onSubmit(function(){ // }); // form.onSuccess(function (values, followUpUrl) { // }); });

    Struggle 4: How much should I pay for content?

    The allure of low-cost content is tempting, especially with quick turnaround promises. But I question the time needed to revise or rewrite it.

    If I don’t have editors on hand, this might mean more time editing than crafting it myself. Investing in inexpensive writers isn’t wise without adequate training resources.

    In 2026, I’m preparing to pay at least $0.20 per word for premium content. Rates vary, depending on a writer’s expertise and accolades. Ultimately, I look for writing that truly converts.

    Dig deeper: Mastering content quality: The ultimate guide

    Struggle 5: Should I use freelance writers or build a team?

    Choosing between freelancers and an in-house team hinges on my objectives and budget. Freelancers provide flexibility, scaling content as needed without heavy resources.

    Conversely, an in-house team offers consistency and deep brand knowledge. While creating more content or operating in complex niches, this consistency becomes invaluable.

    For many, a hybrid model is effective: blend an internal team for editorial control with freelancers for scaling. Tailoring the content system to resources can fit any business stage.

    Dig deeper: 5 SEO content pitfalls that could be hurting your traffic

    Struggle 6: Is ‘great content’ worth the investment?

    From my perspective, optimized content, just like anything else, yields returns based on investment.

    By working with top-quality writers, I see an increase in traffic and rankings, making the investment worthwhile. The benefits of high-quality content amplify over time.

    I find well-researched content draws qualified visitors long after it’s published, and builds trust with audiences, ultimately fostering more sales.

    Great content supports the entire customer journey by answering queries and positioning the brand as credible, providing value throughout their experience.

    A skilled writer attracts the right audience, making each investment worthwhile.

    Great writers come from clear standards, not lucky hires

    I’ve learned that finding exceptional writers isn’t about luck, but about maintaining clear standards.

    Understanding what quality looks like and where to look transforms the process into a predictable and less frustrating experience.

    The most successful content programs approach writing as a sustainable investment, pairing writers with clear expectations, fair pay, and repeatable systems for long-term value.


    Inspired by this post on Search Engine Land.


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  • How AI Highlights the Vital Role of Human Connections in Agencies

    How AI Highlights the Vital Role of Human Connections in Agencies

    Working as an office manager in my early 20s, I discovered Dale Carnegie’s “How to Win Friends and Influence People.”

    The timeless principles in that book have been my guiding compass through various career shifts. I’ve realized that success in most professions hinges on how we interact with others—be they clients or colleagues.

    For many years, combining human touch with technical skills has been a winning formula for digital marketers. It was this ability to demystify complex machines coupled with strong relationship-building that allowed agencies to retain clients.

    But now, this model is under scrutiny as AI becomes integral to PPC platforms, raising a pertinent question: why shouldn’t clients dive into an entirely AI-driven approach?

    What agencies have an edge on is their relational strength—their ability to communicate effectively and understand what business owners genuinely need.

    1. Ask questions

    I’ve learned that one of the most effective ways to understand people and what makes them tick is by asking questions. Though it seems straightforward, communication often becomes lost in translation or obscured by assumptions.

    Whenever I walk into a sales call, I arm myself with a list of questions. How much can I uncover about this potential client in a brief half-hour conversation?

    Similarly, during strategy discussions, I prepare a comprehensive set of queries—some for myself, and some for the client. What are they aiming to achieve? What aspects of their current strategy need refinement? How can we enhance it?

    To this day, AI can’t fulfill this role—not yet, at least. Our exchanges with AI remain predominantly one-sided.

    AI doesn’t actively seek to understand us as individuals or identify our unique challenges. These discoveries only come from asking questions and actively listening, which leads to the next point.

    Dig deeper: 6 tips to build PPC client relationships

    2. Talk less, listen more

    How often do I find myself in conversations, impatiently waiting for a pause to insert my thoughts? I’m guilty of this, but I’ve found that clients crave the opportunity to be heard.

    Allow them to express themselves fully, encourage them with more clarifying questions, and just keep listening. It’s remarkable what you can learn about someone when you enter a conversation with no other agenda but to understand the other person.

    Fill the silences only if they become awkward, and if you have valuable agenda points to address based on what you’ve learned. This approach fosters collaboration and generates ideas more swiftly than dominating the conversation could. It solidifies agreement, which is foundational in building relationships.

    Dig deeper: 8 questions to ask your new PPC clients

    3. Find common ground

    Whenever possible, I aim to discover commonalities between myself and new acquaintances. By doing so, I build rapport, enriching both personal and professional relationships.

    Being personal and specific, whether dealing with a friend or a client, is key. I love recalling little details about people and bringing them up in future conversations. People appreciate being remembered and valued.

    Though AI is beginning to develop memory, finding shared experiences with others is a uniquely human skill that, fortunately, remains beyond AI’s reach.

    Dig deeper: When and how to fire PPC clients

    4. Smile, be less serious (when it’s appropriate)

    In the fast-paced marketing realm, it’s easy to succumb to the all-consuming cycle of data analysis and testing. Remember, though, not to take ourselves too seriously.

    After all, this profession is relatively new, and its evolution is unpredictable. Let’s not forget why we ventured into marketing—to help and connect with people. Let’s embrace opportunities to be less serious and inject humor when it fits.

    We’re human, and it’s vital for those we work for to recognize this humanity as an integral part of any relationship.

    Dig deeper: How to set and manage PPC expectations for teams and stakeholders

    What differentiates a partner from an algorithm

    In a world increasingly dominated by AI, the focus is shifting from technical prowess to personal connection. AI excels at data and analysis, available at a moment’s notice, but knowledge alone isn’t sufficient anymore.

    Empathy, shared experiences, and true rapport are beyond AI’s capability to replicate. These human principles, combined with expertise, are what enabled agencies to decode machines for clients and nurture enduring relationships.

    By returning to relational basics—posing insightful questions, practicing active listening, and establishing common ground—agencies can affirm their indispensable value.

    These relational skills are vital in distinguishing a partner from an algorithm, ensuring that the work of agencies remains not just relevant but essential.


    Inspired by this post on Search Engine Land.


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  • SEO in 2026: Expert Predictions for a Transforming Landscape

    SEO in 2026: Expert Predictions for a Transforming Landscape

    I’ve been thinking a lot about how the search landscape is evolving. It’s not just a shift; it’s a complete reimagining of the digital roadmaps we’re used to. To dig deeper, I reached out to six trailblazers in the SEO world to get their insights on where we’ll be by 2026. Here’s what they shared.

    Our interactions with AI are going beyond simple Q&A scenarios. Enter the era of AI acting as your executive aide, seamlessly handling everything from finding the right product to processing your purchase. This shift demands that we optimize not just for clicks, but for machine readability and compatibility with AI protocols.

    Jim Yu, CEO of BrightEdge, emphasized the need for preparation as AI takes on a more agentic role. According to him, the brands that embrace structured data and machine-readability will stand out as AI-driven commerce becomes mainstream.

    Samanyou Garg, CEO of Writesonic, predicted a future where AI will take users straight from discovery to transaction within a single conversation. Meanwhile, Crystal Carter from Wix warned that simply being discoverable isn’t enough if you’re ignoring the agentic potential.

    Key takeaway: Your product data needs to be machine-readable. Without it, AI agents may overlook your brand in favor of more compliant competitors.

    As AI matures, advertising will become more integrated, moving away from traditional placements to conversational approaches. Jim Yu suggested that AI responses embedded throughout search result pages will become routine, reinforcing the importance of broad optimization strategies.

    ```json
{
  "alt": "Google search result page with extended 'o's in logo indicating multiple pages.",
  "caption": "Discovering deeper into Google's search results with a twist in the logo as it humorously stretches across multiple pages.",
  "description": "This image features a Google search results page in dark mode with an amusing twist. The Google logo humorously extends with multiple 'o's, symbolizing additional result pages numbered 1 to 10. This visual emphasizes exploring the depths of Google's search results. The bottom text indicates results personalization with an option to try without personalization, adding a layer of user control over the search experience."
}
```

    By 2026, we’ll see SEO professionals functioning more like engineers, using natural language tools to create marketing solutions. According to Garg, this approach allows for a significant increase in productivity, reducing manual labor and cutting costs.

    Key takeaway: Automation is the future. Teams that embrace tool-building over task-completing will speed up their progress significantly.

    The concept of singular search rankings is becoming obsolete as search results become personalized in real-time. Mike King views this as an opportunity to tailor content to specific audiences, enhancing relevance and engagement.

    Key takeaway: Generic content risks invisibility. Tailor your SEO strategy to focus on specific audience segments.

    We are witnessing a divergence in SEO roles: one focusing on traditional human users and the other on AI agents. Understanding both audiences will be crucial for future SEO success, as traditional metrics like rankings and clicks may no longer measure true impact.

    ```json
{
  "alt": "Venn diagram showing the overlap between SEO and AI Search.",
  "caption": "Exploring the intersection of SEO and AI Search—where digital marketing meets advanced technology for optimized results.",
  "description": "This image is a Venn diagram illustrating the overlap between SEO (Search Engine Optimization) and AI Search. Two peach-colored circles intersect, with 'SEO' labeled on one side and 'AI Search' on the other, highlighting their intersection in digital marketing strategies. This visual representation emphasizes the synergy between traditional SEO techniques and modern AI-driven search capabilities, crucial for enhancing web visibility and search accuracy."
}
```

    Key takeaway: Optimize for human interactions and AI processes separately to ensure you’re not missing hidden opportunities for engagement.

    Proprietary data and unique, authentic content are becoming increasingly valuable as AI-generated content proliferates. Brands that own distinctive datasets will stand out, as their information becomes essential for AI models to cite.

    Key takeaway: Develop proprietary data and unique content to maintain an edge in an AI-saturated landscape.

    AI literacy is essential. In 2026, the ability to effectively integrate AI into processes will differentiate market leaders from the rest. Neil Patel stresses the importance of linking AI usage to measurable business outcomes.

    Key takeaway: Equip your team with the right AI tools and training to translate AI initiatives into tangible results and growth.

    Ultimately, achieving search visibility in 2026 will involve being more than just relevant in rankings. It means becoming a reliable resource for both human users and AI systems. Investing in the right data and AI strategies now will secure your success in the upcoming year.


    Inspired by this post on Search Engine Land.


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