Category: SEO

Unlocking Search Success: Unifying Strategies for 2026 Growth

You know what I’m starting to realize? Our customers see the entire search engine results page (SERP). So, if they do, shouldn’t we?
Back in February 2024, Gartner predicted a 25% decrease in traditional search volume by 2026. But guess what? That didn’t happen. Google’s search revenue soared by 17% year-over-year, hitting over $63 billion in just the last quarter of 2025. While query volume is surging, clicks per search are on the decline. It’s like the pie got bigger, but the slices are being divvied up differently, and many of us are still optimizing for that old pie.
I have a question for you: Are we stuck rifling through endless spreadsheets of organic keyword rankings like it’s still 2003? Our customers don’t care about where they get their answers; they just want them to be trustworthy. And they’re finding those answers across a wide array of platforms that our standard rank trackers might not even be aware of.
If our organic, paid, and AI search strategies are operating in separate silos, we might be optimizing for a search experience that’s obsolete.
What Search Really Looks Like Today
Go ahead and Google “best tax software” right now. I’ll wait.
Notice the variety on just one results page: top sponsored ads, an AI Overview citation, a Reddit thread (because people trust real people more than brands), organic listings from CNET and H&R Block, a video carousel, discussion forum links, a product carousel with prices, more sponsored results at the bottom, and a “People also search for” section directing the next inquiry.
This is one search with one keyword, and nobody truly owns it.
Reflect on how different folks use that page. I’ll scroll right to the Reddit thread, seeking genuine human recommendations. My dad clicks the first sponsored ad, trusting Google to display the best option up top. Someone else might read the AI Overview and feel content enough with the answer to avoid further clicking. A fourth person might watch that Smart Family Money video and depart satisfied.
Same query, four distinct paths, four different “winners.” As a brand, if we’re celebrating being third in organic ranking on this page, we should realize that most of the attention and user engagement may be happening beyond those blue links.
That’s why I emphasize understanding the total SERP experience. If our customers are seeing the whole picture, shouldn’t we?
The AI Layer Changes the Equation
AI Overviews now appear on around 25% to 48% of Google queries, according to various studies. ChatGPT processes 2.5 billion prompts daily. Perplexity’s up by 239% year over year—hard figures from platforms shaping consumer opinions about our brands. Yikes, right?
But let’s not start panicking. AI might be shifting the terrain, but it only represents less than 1% of U.S. web traffic. Google, on the other hand, drives referrals 300 times more than all AI platforms combined.
The significant transformation lies in consumer behavior. According to Wynter’s 2026 research, 68% of B2B buyers initiate their research within AI tools before heading to Google. They use ChatGPT to narrow down options, then verify them on Google. AI evaluates, Google validates, and it’s on us to convert. If we aren’t in that initial AI conversation, we’re missing the chance to be a go-to choice.
Why the Click Data is Intriguing, Not Alarming
A Search Engine Land study of 25 million organic impressions revealed that organic CTR drops by 61% when an AI Overview is present, with paid CTR plummeting by 68%.
It’s tempting to go into panic mode but don’t hit the alarm just yet.
Here’s an interesting finding: brands cited in AI Overviews experience a 35% increase in organic clicks and a 91% rise in paid clicks. The AI Overview acts as a trust signal, boosting user engagement below the overview itself.
Interestingly, ranking high in organic doesn’t automatically put you in the AI’s radar. Research by Tom Capper at Moz shows that 88% of AI Mode citations don’t appear in the organic SERPs for the same query. Organic and AI sources differ. You could be the top Google result but completely invisible in a ChatGPT response to the same query.
But here’s a glimmer of hope—traffic from AI tends to convert at quadruple the rate of organic traffic. Its audience arrives informed and ready to make decisions after preliminary evaluation in the AI space.
The Organizational Chart is the Roadblock
Most organizations have SEO reporting to content, PPC to demand gen, and AI search to no one, effectively stranding strategic coherence. BrightEdge found 54% of organizations delegate AI search solely to SEO teams, akin to entrusting your plumber with your electrical work because it’s all in the same house.
The losses here are tangible. One Performance Max campaign paid a staggering $500,000 for clicks that were coming naturally through organic referrals. Google’s studies confirm that when you’re organically ranked first, half of your paid clicks might as well have been free.
Moreover, McKinsey’s findings show a brand’s own website contributes only 5% to 10% of sources AI refers to. AI aggregates from Reddit, review sites, affiliates, and more. A top-tier SEO program might still leave you out in the cold when it comes to AI, as it’s influenced more by collective sentiment than official content.
A unified strategy works wonders. At Level, we cut acquisition costs by 18% and increased SEO leads by 22% by merging paid and organic efforts for a B2B SaaS client. Our Level Intelligence Suite connects performance signals across search surfaces, proving that compartmentalizing these efforts is a missed opportunity for synergy.
Three Audits You Can Kickstart on Monday
If you’re looking for a fast start, here are three audits using your top 20 keywords to pinpoint gaps and opportunities.
Lens 1: Check Where You’re Really Visible. Analyze your organic rankings, paid ad presence, and AI search visibility across platforms like ChatGPT, Perplexity, and Gemini. Use Semrush’s free AI visibility checker to see where you really stand.
Lens 2: Identify Unnecessary Ad Spend. Correlate your top organic rankings with active PPC bids. Begin with branded keywords, where over-expenditure from paying for organic reach is typically largest.
Lens 3: Discover AI Overlooking. Compare your organic presence with AI citations. Only 11% of domains are noted by ChatGPT and Perplexity, so strength in one area doesn’t ensure visibility in the other. Ensure your robots.txt isn’t blocking AI crawlers, or you’ll be invisible in those discussions.
This revealing diagnostic paves the way for action. I’m laying out a detailed unification framework at SMX Advanced, and I’d love to see you there.
The Window Won’t Stay Open Forever
Generative Engine Optimization (GEO) keyword difficulty currently floats between 15 and 20, far lower than traditional SEO terms, which can span 45 to 60. This disparity will soon narrow, as favored sources selected by LLMs end up being perpetually referenced.
Some companies are watching their search traffic nosedive, yet they are surging in actual business growth. These firms stopped isolating channels and started analyzing their customers’ comprehensive search journey.
We’re introducing our unified search strategy at SMX Advanced in our session titled “Organic, Paid, and AI Search: One Strategy to Rule Them All.” If you’re eager to blend your strategies into one cohesive plan, join our session or visit us at Booth #9.
Remember, the search experience we had in 2023 has evolved, and our strategies should too.

Inspired by this post on Search Engine Land.

May 5, 2026
Why AI Search Visibility is Essential for Brands Today

The way we search for information has shifted dramatically—not slowly and not slightly. I’ve witnessed firsthand the transformation in search behaviors that make AI search visibility crucial for brands seeking to remain competitive.

Brands need to adopt AI search visibility services now more than ever to ensure they’re not only visible online but also standing out in an overcrowded digital space.

With the right AI tools, brands can refine their search visibility strategies to reach target audiences more effectively, leveraging cutting-edge technologies to stay ahead of competitors.

Inspired by this post on HiGoodie Blog.

May 4, 2026
Google Rectifies Search Console Data Glitch — Moving Forward

It feels like a moment of relief as Google recently announced a resolution to a longstanding data logging issue within Google Search Console. This glitch affected data between May 13, 2025, and April 27, 2026, spanning approximately 50 weeks. However, it’s important to note that while the root cause has been addressed, historical data from this period remains unfixed.

Google shared this update in a rather understated post, bringing light to a problem that many of us have been grappling with for quite some time. According to their post, “A logging error prevented Search Console from accurately reporting impressions from May 13, 2025, until April 27, 2026. This issue has been resolved.” It was a relief to hear, but also a bit frustrating knowing that impressions, CTR, and average position data were affected for such a significant period. Thankfully, clicks weren’t influenced by this error, which was some consolation.

As I sift through my Search Console data, I must remind myself of this anomaly, particularly when analyzing metrics from that problematic timeframe. The good news is that any data collected from this point forward should be accurate.

Further confirmation came from John Mueller on Bluesky, who reiterated that past data would not be retroactively corrected, but the issue has indeed been resolved going forward.

This development is crucial for all of us who rely heavily on precise data for SEO strategies. If your impressions appear lower and, consequently, your CTR and average position figures seem skewed during this period, this is likely why.

Inspired by this post on Search Engine Land.

May 4, 2026
Boosting Brand Authority: The Key to Winning in AI Search

I’ve discovered a fascinating truth about search in the age of AI: brand authority often outshines topical authority. The landscape of search has shifted, and it’s time for us to adapt.

While topical authority remains a beloved concept among SEO consultants pitching content, brand authority holds the reins in today’s AI-driven search landscape. Marketers have long discussed brand authority, though it was often dismissed or left to brand teams post-sitemap adjustments.

AI’s emergence has upended the traditional approach, revealing underlying issues. Search is crucial for the global economy, and the industry’s marketing approach needs re-examination. More content doesn’t automatically confer authority. In fact, AI search champions brands gaining notable visibility, mentions, and real demand.

Too many SEOs overlook the reasons people choose, trust, and remember brands. In this new world of AI search, such ignorance stands out even more. That’s why brand authority prevails—but not in the way our typical SEO tools might suggest.

Previously, the meaning of topical authority was intended to highlight genuine expertise through useful work, citations from others, and a growing associated reputation. This builds your brand’s association with a topic, which in turn, creates authority and fosters brand development.

However, the industry often marketed topical authority commercially, emphasizing volume over value. Technical SEO became a niche, links were outsourced or repackaged, but content was the consistent agency engine.

Pre-AI, this made sense. Creating good content involved rigorous processes and offered substantial value, earning rankings and supporting commercial interests. In contrast, topical authority introduced the misguided idea that mere keyword coverage equated to expertise, diluting the concept’s original intent.

Another intriguing aspect of authority is understanding what others say about you, rather than solely focusing on self-published content. Google’s Jun Wu highlighted the importance of ‘mention information’—how search engines discern topics, identify sources, and map relationships.

Our modern term for this is brand co-occurrence. Being consistently mentioned by authoritative sites and communities solidifies your brand’s association with a topic, elevating market perception and authority.

Many might pitch the concept of topical authority as building a comprehensive keyword strategy, but actual authority requires originating valuable data and sharing insights that engage audiences and capture media attention.

The changing economic landscape of AI means that traditional advertising methods through content must evolve. With AI offering direct answers, the value of certain traditional SEO practices is diminishing. Users, like my AI-liking father, prefer quick, synthesized information over cumbersome web browsing.

The rise of AI citations in search metrics has become a focus, but they differ from authentic human endorsements. Real influence is reflected through human testimonies, where your brand is discussed, cited, and recommended.

If measuring brand authority, brand searches present a clearer indicator of growth. If more people search specifically for your brand, it signals rising demand and market presence—a more accurate reflection of impact than solely relying on AI citations.

Traditional SEO still plays a role, ensuring you’re found where it matters—be it in search rankings or marketplaces. Yet, brand authority distinctly drives recommendations, and AI search is starting to favor consolidated options, often mentioning specific brands and solutions.

The future echoes the demand for meaningful engagement and widespread brand visibility. Though SEO isn’t dead, a simplistic keyword-centric approach is fading. A holistic approach integrating positioning, PR, reviews, and content as interconnected elements is pivotal.

In an era where fitness and visibility are equal determinants of success, brands must excel in products and services while ensuring their market presence is robust and omnipresent. After all, brand authority is what truly wins, confirming that mediocrity no longer warrants attention.

Inspired by this post on Search Engine Land.

May 4, 2026
Enhance AEO with Must-Have Tools for Today
I recently found myself attempting to map out a Lumascape of answer engine optimization (AEO) tools. It’s a daunting task, and my computer simply doesn’t have the bandwidth for that!

Instead, I pivoted to focus on a select few tools I’ve been using effectively to boost my clients’ visibility in AI search results.

Here, I’m sharing a concise list: four tools that I consistently rely on, alongside three others I’m currently evaluating for potential integration into my workflow.

1. AI Assistants: ChatGPT, Claude, Perplexity

These AI assistants have proven invaluable. When used with intentionality, they serve as powerful tools for research and analysis in AEO.

For AEO, they assist in several key areas:
- Competitive landscape research.
- Content gap analysis.
- Prompt testing.
- Entity and topical coverage audits.
- Structured content drafting.
The difference from casual usage lies in applying a specific AEO research methodology.

Why They’re Essential

Understanding AI systems processing is key to AEO, and regularly engaging with these tools analytically is the most direct way to gain that knowledge.

By querying AI with your audience’s prompts, you glean insightful data on sources, entities, and answer structures.

Competitive Strengths

These platforms each offer unique advantages:
- ChatGPT is well-known for its broad synthesis of general knowledge.
- Claude provides nuanced, analytical responses.
- Perplexity excels with its clear citation methods, beneficial for AEO research.
What You Can’t Do Without Them

They are crucial for firsthand AEO status assessment, including:
- Manual prompt testing: Assess your brand representation.
- Competitive research: Use category-level queries to analyze competitor presentation.
- Topical gap analysis: Identify missed opportunities.
- Structural content analysis: Understand preferred AI answer formats.
Caveats

AI outputs are variable, influenced by many factors. These tools help build intuition and hypotheses that should be validated with quantitative data.

Beware of the time-consuming nature of manual testing. Establish a framework and stick to it.

2. Profound

Profound specializes in AEO intelligence, tracking how AI platforms interact with and cite your content. It also measures brand mention frequency, sentiment, and competitor visibility.

Why It’s Essential

Profound provides direct insights into your brand’s presence in the AI answer ecosystem, shifting the focus from rankings to visibility in AI responses.

Competitive Strengths

Its cross-platform view offers comparative insights, allowing you to see how your citation share compares to competitors.

What You Can’t Do Without It

Without it, quantifying your brand’s presence in AI-generated answers becomes difficult. It also tracks citation shares and identifies content driving AI mentions.

It’s a costly tool, but valuable for identifying areas where your brand is losing ground to competitors.

Caveats

As the tool evolves rapidly, the data remains a timely reflection of AI outputs. Remember, these metrics are signals, not precise rankings.

3. Google Trends and Google Keyword Planner

Google Trends shows search interest trends, while Keyword Planner gives search volume estimates, both critical for AEO strategy.

Why They’re Essential

Understanding demand is crucial for content optimization in AI answers. These tools provide reliable data on trending topics and search volume.

Competitive Strengths

While Google Trends offers momentum analysis, Keyword Planner’s forecasting can prioritize content based on future demand.

What You Can’t Do Without Them

Build a dynamic AEO strategy by monitoring demand trends and identifying emerging topics and seasonal patterns.

Caveats

These tools reflect traditional search behavior, not AI-acre queries, and Keyword Planner requires an active Google Ads account.

Always use them as a guide, not a complete picture, of AI demand.

4. Google Search Console and Google Analytics

These are essential for tracking search performance and on-site behavior, revealing insights into AI platform traffic and content effectiveness.

Why They’re Essential

They help diagnose whether AI-cited content is also visible in traditional search and track AI-driven visits and engagement.

Competitive Strengths

GSC offers unmatched query data, while GA4’s cross-channel tracking reveals AI platform engagement.

What You Can’t Do Without Them

Understanding AEO’s business impact and addressing indexing issues rely on these insights.

They illuminate high-impression, low-CTR content, indicating potential AI Overview cannibalization.

Caveats

GSC data is Google-centric and has some limitations, while GA4 requires precise configuration for accurate tracking.

Rapid-Fire Roundup

With numerous tools still to explore, consider testing these emerging options to assess their AEO value:

5. AI Trust Signals

This tool evaluates credibility signals influencing AI citation decisions. It’s a new dimension worth exploring as AI citation mechanics advance.

6. Ahrefs

Ahrefs shines with backlink analysis and content gap insights, indirectly supporting AEO by building authority signals.

Its Content Explorer helps identify high-performing content likely to be referenced by AI.

7. Roadway AI

This AI-native platform focuses on marketing growth activities, including attributing AEO signals to revenue.

Keep an eye on this developing option as it may gain importance quickly.

The Reality of AEO Tools: Fast-Moving and Imperfect

The AEO landscape is evolving, with tools still catching up. Prioritize consistent measurement, analysis, and testing to extract actionable insights.

Aiming for perfect setup may be unrealistic, but if a tool shows how it enhances your AEO efforts, that’s a positive start.

Consult industry colleagues with firsthand tool experience before committing, as better or cheaper alternatives may emerge soon.

Inspired by this post on Search Engine Land.
May 4, 2026
Maximize AI Visibility: Influence, Signals, and Citations

I’ve seen how crucial it is to understand that AI visibility starts long before users hit that search bar and ends with citations.

These insights are vital in shaping what gets seen, summarized, and cited by AI systems.

Currently, the focus has shifted towards improving the AI ROI story, and I’m right in the thick of it, learning what strategies truly work.

This year, attending SMX Advanced will be more enlightening than ever, bringing unique perspectives and strategies.

Let’s dive into why influence matters everywhere, and how it impacts AI citations.

Rand Fishkin’s study, ‘Influence Happens Everywhere,’ reveals that, although Google commands the majority of search traffic, it’s the influence happening outside of search that truly dictates what people look for online.

For many, wandering through social media or news sites builds their understanding and interest long before the actual search occurs.

Despite the exciting growth of AI tools, achieving a stable presence online requires understanding how fragmented channels contribute to this influence.

When crafting content, it’s essential to dominate the influence phase so thoroughly that an AI assistant doesn’t just suggest your brand—it demands it.

That’s the strategic thrust behind the discussions at SMX Advanced in Boston and why I align my content calendar accordingly.

My colleagues at Search Engine Land are among those shaping these discussions. Insights from thought leaders like Dave Davies and Carolyn Shelby are invaluable.

They emphasize the importance of structured visibility signals and entity recognition, helping AI systems select the right brands to highlight.

In my own analysis, the various AI models like ChatGPT, Perplexity, and others have unique methodologies for selecting sources, reinforcing the idea that an engaged, multi-platform strategy is critical.

So, what does full-stack content truly mean today? It’s more than crafting blog posts; it’s about commanding entire topics with authority and depth, enhanced by AI tools like Jasper’s Enterprise Suite.

The ability to integrate real-time data, identify competitive content gaps, and create diverse multimedia content packages mean we’re shifting from simply generating content to dominating entire narratives.

But AI tools can only serve the overarching strategy if our content offers the original insights that help us stand out in AI retrieval systems.

This year, Purna Virji’s insights at SMX Advanced will challenge us to think critically about the real ROI in AI investment.

I’m particularly interested in seeing how Google Vids is democratizing video content by eliminating the high entry barriers of previous video production methods.

Now, video content can be produced and localized for a multitude of markets rapidly, a paradigm shift in how we engage audiences across the globe.

The standards AI is setting for content — whether text, video, or multimedia — require a strategic framework that aligns with evolving platforms like GEO and AEO.

For those in the trenches like me, adjusting focus towards an integration of structured data and earned media becomes imperative.

The real challenge isn’t in the buzzwords but effectively navigating the volatile landscape of AI-driven citations.

I recognize the adjustments needed in approach, especially when considering the stark differences in referral and conversion rates from traditional search versus AI platforms.

So, practical actions for the rest of 2026? Audit your AI presence thoroughly, stop gating original research, secure your place in vibrant communities, and refine your focus towards citatability rather than simple visibility.

Ultimately, the brands ready to adapt will continue to thrive in this AI-enhanced environment.

Indeed, the bots are crawling, and it’s time I ensured my brand is worth citing.

Inspired by this post on Search Engine Land.

May 4, 2026
End of an Era: Ask.com Closes After 25 Years

As someone who has been on the internet exploration journey for years, today’s news hits home. Ask.com, which many of us fondly remember as Ask Jeeves, officially closed down on May 1, 2026, after a remarkable 29 years of service. It launched on June 3, 1996, even before Google made its debut.

Upon visiting the now-closed Ask.com, we are greeted with a heartfelt farewell message that feels like a trip down memory lane:

Every great search must come to an end. As IAC continues to sharpen its focus, we have made the decision to discontinue our search business, which includes Ask.com. After 25 years of answering the world’s questions, Ask.com officially closed on May 1, 2026.

I can’t help but feel gratitude as they graciously acknowledge, “To the millions who asked…”. They expressed appreciation for the brilliant engineers and loyal users who have been a crucial part of their journey. And yes, Jeeves’ spirit indeed lives on.

For those of us who relied on this answer engine in its early days, Ask.com and the iconic Jeeves butler will always hold a special place. In a world now dominated by AI and competitive answer engines, it’s understandable why IAC, the parent company, decided to step back in such a challenging market.

Ask.com has left a significant impact on the search marketing industry, and saying goodbye is indeed bittersweet. Until we meet again in some digital form, dear Jeeves.

Inspired by this post on Search Engine Land.

May 3, 2026
Mastering Effective SEO Agent Skills: A Personal Journey
I’ve been on a journey to develop over 10 SEO agent skills in just 34 days. Six of these succeeded on the first attempt, while the remaining four taught me invaluable lessons, especially about the overlooked importance of folder structure that many LinkedIn posts on AI SEO skills seem to miss.

The reliability of these agents isn’t about crafting superior prompts; it lies in the architecture that supports them. Here’s my blueprint for building an agent from scratch, testing it diligently, refining it, and deploying it with full confidence.

Here’s why many AI SEO skills don’t make the cut.

A typical AI SEO prompt seen on platforms like LinkedIn usually looks something like this:
```
You are an SEO expert. Analyze the following website and provide a comprehensive audit with recommendations.
```
And that’s where it ends. One simple prompt, often coupled with some formatting directions, is shared with the world. The post then earns hundreds of likes, yet the output—while polished—is often up to 40% inaccurate.

I know because I’ve been there. Initially, I tasked an agent to identify SEO issues on a website, and while it came back with 20 findings, eight were non-existent. The agent hadn’t truly visited many of the reported URLs.

Here are three key issues that doom single-prompt skills:
- No tools: The agent can’t physically verify the website; it relies on training data to guess. Queries about canonical tags, for instance, result in assumptions rather than real-time analysis of HTML.
- No verification: There’s no check on the truthfulness of output. An agent might report missing meta descriptions across 15 pages, but without verification, we don’t know if these pages are even indexed correctly or intentionally set as noindexed.
- No memory: The agent’s feedback varies wildly with each use, showing inconsistency due to the lack of a template or structured history of previous runs.
In essence, if your skill is just a prompt within a lone file, you’ve got a 50/50 chance at best.

Every agent in my system has a dedicated workspace. Consider it akin to a new employee’s desk, equipped with all necessary resources. For example, our agent designed to crawl and map website architecture works within this kind of structured environment:
```
agent-workspace/
  AGENTS.md          instructions, rules, output format
  SOUL.md            personality, principles, quality bar
  scripts/
    crawl_site.js    tool the agent calls to crawl
    parse_sitemap.sh tool to read XML sitemaps
  references/
    criteria.md      what counts as an issue vs noise
    gotchas.md       known false positives to watch for
  memory/
    runs.log         past execution history
  templates/
    output.md        expected output structure
```
The workspace includes six key components services that just one prompt couldn’t dream of covering fully.

Within AGENTS.md, I’ve articulated a meticulous methodology comprising thousands of words. Instead of a simple instruction like “crawl the site,” I detailed each step: “Start with the sitemap; if it doesn’t exist, check various routes like /sitemap.xml, /sitemap_index.xml, and robots.txt for references.”

Scripts represent the tools the agent utilizes. Instead of writing curl commands from scratch for each crawl, the agent can run node crawl_site.js -url to analyze website data, which is far more efficient and reliable.

References consist of criteria that help the agent distinguish between significant issues and noisy false positives, using a wealth of knowledge I’ve amassed over two decades.

To ensure that every execution is informed by the past, I keep meticulous logs under memory, serving as institutional knowledge that empowers consistency across agent runs.

Through templates, I outline the exact format I expect from the output, thereby maintaining high quality across multiple iterations of the same task.

Building from scratch, the first naive attempt involved simple instructions that inevitably failed when confronted with modern CDNs. By iterating and incorporating tools like crawl_site.js, enhancing with rate limiting, and tackling JavaScript rendering, I’ve honed an architecture that delivers consistent outputs across runs.

The path involves a series of iterations where each failure metamorphoses into a permanent lesson, gradually shaping a sophisticated system. This methodically structured approach ensures that what we build is not just technically proficient but measurably better with every successive run.

Inspired by this post on Search Engine Land.
May 1, 2026
Transforming SEO: A Guide to Semantic and Programmatic Success

As I dive into the world of Programmatic SEO (pSEO), I understand that many people in the industry view it with suspicion, associating it with low-quality pages and duplication. Often, it’s seen simply as replicating city names on static templates.

Google’s policies on content spam are clear: strategies that generate unoriginal content just to influence rankings will not be tolerated.

In the modern landscape, pSEO isn’t about mass page generation. Instead, I aim to address thousands of search intents with local specificity and semantic depth, achieving what isn’t possible manually.

Here, I share my blueprint for transitioning from syntax-based to semantics-based pSEO, using methods we’ve tested with major companies in Brazil.

When embarking on a pSEO project, it’s common to start with templates. Yet, this approach often misses the mark. For instance, the intent behind “Best Hotel in [Las Vegas]” differs from “Best Hotel in [Orlando],” focusing on entirely different priorities and amenities.

I leverage AI to make content more granular, ensuring that each page addresses unique travel intents rather than generic keywords. My goal isn’t just to create a thousand pages, but a thousand pages that each fulfill a specific travel need.

Before creating content, I must answer a vital question: where does my domain have authority to rank? Failed pSEO projects often miss this step, targeting areas without established authority. My solution involves deep analysis using real Google Search Console data.

Through cluster audits, priority definitions, and strategic calendar alignment, I ensure my pSEO actions enhance topical authority while addressing existing semantic gaps.

Brand consistency is a hurdle when adopting AI. By implementing context governance, I ensure AI-generated content remains true to the brand’s voice, using guidelines to prevent deviations.

For internal linking, I adopt the semantic mesh strategy to ensure that every page connects logically, directing the user through a logical journey rather than dead ends.

In practice, understanding regionalization and seasonality at scale is crucial. Ânima Educação in Brazil is a perfect case study, showing how strategic pSEO leads to precision and considerable business impact.

As I scale content, monitoring with technical SEO agents helps maintain site quality, foreseeing issues like indexing problems or high LCP in real time.

In summary, successful SEO is about integrating the efficiency of technology with the nuanced human touch to deliver timely and relevant content to users.

Inspired by this post on Search Engine Land.

May 1, 2026
Unlock Reddit: Boost Your SaaS Brand Visibility & Trust
I’ve recently discovered how impactful Reddit can be in shaping brand discovery and perception. This is increasingly significant as AI search engines prioritize Reddit threads and comments, adding weight to these discussions.

During my deep dive into 117 SaaS brands on Reddit, I uncovered how people truly feel about brands—feelings often lost in polished marketing campaigns.

As communities wield more power over brand perception, presence on Reddit is no longer optional; it’s essential.

Let me share my analysis and how you can leverage Reddit for your brand.

How I Analyzed 117 SaaS Brands: The Methodology

My journey began by identifying key industry verticals, including:
- Project management and productivity (15 brands)
- Customer relationship management (CRM) (10 brands)
- Marketing automation (14 brands)
- SEO and marketing intelligence (8 brands)
- Design and creative (8 brands)
- Development and software development and IT operations (DevOps) (12 brands)
- AI (12 brands)
- Customer support and engagement (10 brands)
- Analytics and data (10 brands)
- Sales and revenue (8 brands)
- Collaboration and communication (10 brands)
I organized this data in a Google sheet and tracked each brand’s Reddit presence, subreddit activity, and common discussion topics.

Analyzing over 300 threads across these brands, I assessed brand mentions, sentiment, community engagement, and participation.

Now, let me share the key findings.

1. Reddit Rewards Authentic Brands

What’s clear is that authenticity resonates with people. Brands represented by genuine, helpful, and non-promotional moderators see better engagement than those with a corporate tone.

Redditors seek real opinions and experiences, not marketing pitches. Hence, peer recommendations are more credible than brand messages.

When brands communicate directly and acknowledge both strengths and limitations, they gain positive reception. Some even earn upvotes and gratitude from the community.

2. Brands Not on Reddit Are Missing Out

Conversations about brands happen on Reddit with or without their presence. Astonishingly, 30 of the brands I researched don’t engage on Reddit, and 23 have inactive subreddits.

Users pose direct questions about brands and receive insights from fellow redditors. Without a brand presence, these discussions and reputations evolve independently.

Sometimes, other entities may misuse popular brand names, creating potential misrepresentations. Ensure you’re part of the conversation to maintain control over your brand’s narrative.

3. Reddit is a Customer Research Goldmine

Reddit offers unfiltered user insights that traditional feedback methods might miss. Customers openly discuss onboarding issues, integration challenges, and more.

Reddit Captures Feedback That Traditional Methods Miss

On Reddit, users frequently talk about issues like:

$```json { "alt": "Reddit thread discussing the ambassador program's value, with users Clover_Gal and MattyFettuccine exchanging insights.", "caption": "Community spirit shines in a Reddit thread as Clover_Gal shares the perks of joining the ambassador program, engaging with fellow user MattyFettuccine.", "description": "This image captures a Reddit conversation where Clover_Gal praises the ambassador program, mentioning benefits like attending the Elevate Conference. MattyFettuccine asks about the dual role of Ambassador and Partner, to which Clover_Gal responds with enthusiasm about joining in Q1 2024. The comment highlights experiences with different industries, particularly with monday.com, emphasizing the program’s value for professional growth. Upvotes and reply options are visible, indicating community engagement." } ```$
- Onboarding struggles
- Integration challenges
- Mobile usability issues
- AI feature frustrations
- Updates confusion
- Alternatives being built
This invaluable honesty helps refine SaaS products beyond what traditional surveys can capture.

Reddit Supports Brand Advocates

Happy customers often become brand advocates on Reddit, promoting brand ambassador programs and sharing their positive experiences, enhancing brand image.

Some Brands Have Self-Sustaining Reddit Communities

Some Reddit communities thrive with little brand intervention, offering peer-to-peer support, problem-solving, and resource sharing, ensuring community sustainability.

Redditors Highlight Preferred Competitor Features and Pricing Frustrations

Pricing is a hot topic, with users often expressing discontent and citing alternative options, highlighting gaps and opportunities for improvement.

Redditors Share Their Actual Use Cases

Reddit is a platform where users detail their real-world tool applications, which provides valuable insight for product optimization.

Reddit is Essential for Brand Visibility and Perception

With real-time brand discussions, Reddit plays a crucial role in shaping visibility and perception, impacting AI-driven search results and influencing consumer decisions.

It’s crucial for brands to monitor these discussions, engage meaningfully, and utilize Reddit as a platform for reputation management and product insights.

Inspired by this post on Search Engine Land.
April 30, 2026