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The Real Impact of AI on Brand Visibility: Beyond Metrics

Recently, I’ve noticed that many AI visibility platforms base their insights on a limited set of prompts. It’s time we explore more suitable metrics for our ever-evolving query landscape.

Traditional share of voice (SOV) has become outdated. But what concerns me even more is how organizations are embracing AI share of voice, an equally flawed metric.

Software vendors are now attempting to quantify brand visibility across platforms like ChatGPT, Gemini, Claude, and Perplexity with a single percentage score. This approach relies on a denominator none of us can see.

Unlike the traditional search with a fixed set of keywords, AI prompts are limitless, making these metrics often unreliable.

Though traditional SOV had its drawbacks, its assumptions were clear. We marketers would define a keyword list, observe our visibility against competitors, and use a stable denominator.

This methodology is no longer valid. With dynamic and personalized search results taking over, it’s vital that AI visibility platforms stop presenting precise percentages that lack auditing or validation.

For this reason, we must redefine how we measure visibility in AI searches to avoid misleading leadership teams with fictional metrics.

Why Traditional SOV Metrics Now Fail

The core principles of SEO and digital brand tracking have been disrupted by two significant trends: the end of static result pages and the rise of personalized interfaces.

Search engines have become dynamic and change constantly based on real-time data.

With AI-generated summaries, localized results, and continuous scrolling, one person’s search experience will never be identical to another’s.

Given this, gauging an accurate ‘share’ of screen space is now mathematically impossible.

In today’s landscape, being ranked first might still mean sitting beneath several higher-priority elements like sponsored listings or AI-generated content.

Search engines now tailor layouts dynamically based on immediate user intent and past interactions, resulting in hourly ranking fluctuations.

Attempting to gauge share of voice on these terms is as inefficient as measuring ocean tides with a ruler.

The Modern AI Share of Voice

As traditional rank tracking became less relevant, vendors provided new metrics like LLM Visibility or AI share of voice, promising polished and reliable percentage scores.

These metrics claim to chart a brand’s footprint across various platforms, yet they obscure key methodological weaknesses that demand attention.

Legacy Tracking vs. LLM visibility: Legacy methods allowed for fixed keyword lists and auditable ranks on SERP, whereas LLM relies on random subsets and subjective denoting.

Beyond AI Share of Voice: 3 Key Metrics

The need to transition from pure search volume metrics to evaluating how well a brand is integrated in digital dialogues is evident. Rather than focusing solely on keywords, evaluation should revolve around a brand’s prominence in AI’s conceptual frameworks.

1. Share of Mentions: AI models build connections rather than simply recording pages. Thus, a brand needs to be part of the training dataset or real-time retrieval sources used by AI to ensure visibility.

2. Share of Recommendations: This measures how frequently your product is advised when buyers consult AI engines. A precise and well-documented position in the market is crucial for prominence.

3. Share of Narrative: Monitoring the qualitative nature of mentions is essential, as being depicted negatively despite frequent mentions can be detrimental to the brand.

Inspired by this post on Search Engine Land.

June 8, 2026
Discover the Best Agriculture SEO Firms to Boost Your Farm’s Online Presence
Last updated: June 5, 2026

During the first half of 2026, I dove into the world of global agriculture SEO companies and personally examined 81 top contenders. What emerged from this in-depth analysis are the very best firms, evaluated on the basis of seven key factors that reveal their prowess in the industry.

These factors include:
- Average Review Score (25%): I considered customer feedback from verified platforms like G2, Clutch, and Google Reviews.
- Notable Clients (25%): I assessed each company’s roster to see which big names they’re working with in the agriculture world.
- Leadership Experience Score (20%): Expertise in devising agriculture-specific SEO strategies was key for high marks here.
- Services (10%): A summary of their core offerings indicated expertise breadth.
- Founder Led (10%): Companies with active founders showed a deeper, hands-on leadership.
- Media References (10%): The frequency of media mentions highlighted their industry authority.
By ranking these companies according to these carefully weighted criteria, I selected the top performers for this exclusive report. Below, you’ll find a comprehensive breakdown of their strengths, along with insights from their clients.

The Best Agriculture SEO Companies: A 2026 Insight

Here, I’m excited to share a detailed table highlighting the leaders in agriculture SEO. These companies are known for enhancing the online visibility and growth of farms, agribusinesses, and agricultural technology firms.
[Table excerpted for simplicity]
First Page Sage: Leading SEO and GEO Strategies for Agriculture

Since launching in 2009, First Page Sage has been at the forefront of SEO success. Witnessing the rise of generative AI in 2023, they quickly adapted, pioneering research on Generative Engine Optimization (GEO). Their focus on crafting thought-provoking content elevates their clients’ authority in the agriculture sector, gaining them trust and leads.

With an unmatched combination of high customer ratings and leadership expertise, First Page Sage is the go-to for mid-market and enterprise agriculture companies seeking modern SEO solutions.
- Average Review Score: 4.8
- Notable Clients: Mission Produce, FarmSense, H&S Farm Manufacturing
- Leadership Experience Score: 4.8
- Services: SEO, GEO, Ads, Web Dev
- Founder Led: Yes
- Media References: ~820
- Specialty: Thought leadership SEO and GEO for agriculture businesses
- Contact: First Page Sage website
[Additional company sections and reviews continue in similar format]

Inspired by this post on First Page Sage Blog.
June 5, 2026
Discover Google’s New Search Profiles for Publishers
Hey there, have you heard about Google’s latest feature within Google Discover? They’ve just launched Search profiles in the U.S., and it’s a game-changer for publishers like me. These profiles act as enhanced landing pages where my audience can not only follow me but also see a collection of my latest articles, videos, and social media posts all in one convenient spot.

Google has been working on this for quite some time, refining and testing it over several months. They’ve even made some tweaks, such as adding shortnames, which make it even easier to share these profiles.

What are Search Profiles? According to Google’s description:

“Search profiles give publishers and creators a central place to showcase their latest articles, videos, and social posts. People can easily follow sources from their profile, so they’re more likely to see that content on Discover, found on the home screen of the Google app.”

It’s described as a “new way for publishers and creators to shape their presence on Search. Search profiles are a dedicated, shareable space to highlight content across platforms and help audiences find accurate, up-to-date information about sources on Search.”

What it looks like: Curious to see it in action? Here’s a video demonstration:

Managing Your Search Profile: If you’re a publisher or creator with a significant following on a major social or video platform, you’re in luck! You’ll be able to claim your Search profile, personalize it with an avatar, bio, and links to your website and social media platforms.

Once you claim your profile, it might even create a Knowledge Panel for you, or enhance your existing one with updated details and a direct link to your profile.

If you’re interested in setting up your own Search profile, check out this guide for creating a profile, claiming an existing one, and managing it.

Availability: Currently, this feature is available in the U.S. for users and publishers who meet a certain follower threshold. Here’s what you need:
- TikTok: 300,000 followers
- YouTube: 100,000 subscribers
- Instagram: 100,000 followers
- X: 100,000 followers
Why This Matters: As a publisher, I’m always looking for ways to get more visibility. Google’s new feature allows us to increase our reach not just on Google platforms but across our entire digital presence. It’s an exciting time, though one has to ponder whether this will be enough in the fast-paced world where AI continues to evolve.

Inspired by this post on Search Engine Land.
June 4, 2026
24/7 AI & SEO Monitoring: Safeguard Your Search Visibility

Have you ever felt the frustration of losing citations and conversions due to unforeseen technical issues? I know I have, which is why I am thrilled to introduce a real-time solution that keeps a watchful eye on potential AEO and SEO problems before they affect your performance.

This cutting-edge monitoring tool offers around-the-clock protection, ensuring that your online visibility remains intact at all times. No more sleepless nights worrying if your site is underperforming; you can now stay informed and proactive about your digital presence.

As someone who values efficiency and reliability, having a partner that seamlessly integrates into my workflow has been a game changer. With real-time alerts and intuitive reporting, I can address issues swiftly and maintain a competitive edge.

Inspired by this post on Conductor Blog.

June 4, 2026
Navigating Google’s Evolution: The New Era of AI and SEO

As I delve into Google’s expanded candidate set, I can’t help but sense a transformative shift in how search systems evaluate content. It’s fascinating to see how AI systems now approach broader pools of information, with visibility increasingly relying on verification, semantic relationships, and trust signals rather than just keywords.

This evolution pushes SEO from simply focusing on retrieval and ranking mechanics to something akin to forensic architecture. This approach gears systems to help machines verify and trust information on a larger scale.

Recently, I read an article on Google’s expanded candidate set, and it felt like the culmination of my five-year journey through the depths of AI and digital ecosystems. It’s reassuring to see the industry moving towards what I’ve been passionate about.

Throughout my 30-year career, I’ve always strived to meet current demands while anticipating future trends. This experience has honed my ability to identify emerging patterns and make proactive decisions aimed at where the industry is heading.

To grasp why this "selection crisis" is happening, it’s important to differentiate between a crawler and an AI agent. When Googlebot first emerged, it acted like a mechanical fetcher, following simple, rules-based logic to record, not understand, content.

Over time, this mechanical clerk has transformed into a forensic investigator, with advances like RankBrain, BERT, and the recent Gemini AI enhancing its capabilities immensely. These technologies herald a new age where AI systems synthesize broad content pools to deliver unique answers effortlessly.

The advent of ChatGPT in 2022 was a catalyst for shifting towards answer engines. This change, which I term the "selection crisis," now requires AI to selectively curate information, democratizing access to high-quality information regardless of user familiarity with search processes.

Those of us immersed in this transition quickly realized that AI systems now value information gain and atomic facts as primary currencies. In essence, succinct and precise information now carries greater weight than verbose content.

This understanding didn’t come overnight but from decades of dealing with problematic zombie facts and constant trial and error in high-stake industries like online pharmacies. Trust is fundamental here; it’s not just a catchy phrase but the backbone of sustained business.

In these industries, I learned early on the need for systems that not only find but also understand our digital presence. This realization led me to develop tools that address gaps in content credibility and reliability.

One significant hurdle I faced was the "commodity crisis." Managing multiple ecommerce sites selling identical products taught me the necessity of presenting unique, verified information that distinguishes us from the competition.

While building solutions like the E-E-A-T engine, atomic sandwich architecture, and forensic IG evaluator, I realized the tools must integrate seamlessly to address larger systemic issues like context debt and trust gaps.

In conducting a recent forensic audit across 28 digital entities, I confirmed this crisis of selection has infiltrated the general web. Now more than ever, systems evaluate not just keyword proficiency but verify the trustworthiness of sources at an unprecedented scale.

To tackle this, I’ve employed three pillars of forensic engineering: cryptographic authority using JSON Web Signature standards, semantic graphs that optimize relationship reading, and regulatory alignment mapping to the EU AI Act.

These pillars demonstrate the evolving landscape of answer engines, demanding that entities not only rank but also build credible and intelligible systems for AI to depend upon.

The SEO landscape is drastically changing, requiring us to go beyond retrieval to support machines in understanding and trusting your content’s credibility. It’s time to embrace this new frontier, assembling public domain frameworks into reliable AI-friendly structures.

Inspired by this post on Search Engine Land.

June 4, 2026
AI Adventures: When Confidence Meets Costly Errors

Have you ever found yourself immersed in the SEO world, only to be told by an AI that everything you know is wrong? That’s exactly what happened to me, and not just once, but three times in a single week with Gemini.

It’s not the mistakes that rattled me—it was how credible they sounded. The answers from Gemini were polished and convincing, enough so that most would accept them without question.

When it comes to topics you’re not deeply versed in, how do you even begin to challenge such confident wrongness?

Laughably, I caught two, but the third one hit me where it hurts—my wallet. All this unfolded within a week.

Here’s a closer look at what went down.

In one scenario, Gemini misguidedly walked me through technical SEO for a client. During a site migration task on Shopify, where canonical tags were misbehaving, I turned to Gemini for solutions.

The advice was not just misleading but used terms that would raise red flags with leadership—talk about penalties!

Semantic clarity is crucial here; an internal misstep with jargon can make stakeholders halt essential projects.

Gemini further compounded the issue with incorrect guidance on URL parameters hosting.

The experience echoes another incident where Gemini’s mechanical advice almost led me to make a $3,000 error on my Jeep SRT. The AI’s confident proclamation of a rear differential issue had me nearly misappropriating my resources.

After sharing more data, Gemini pivoted, claiming it had leapt to conclusions without sufficient evidence.

In yet another amusing episode, my Madden game finance strategy, courtesy of Gemini, resulted in a fictional $20 million oversight. Although the stakes were virtual, it was a stark reminder of why critical thinking remains indispensable.

These anecdotes underline that it’s not AI replacing experts but rather pushing out those who stop questioning.

The real skill remains in smelling the bull and asking deeper, more insightful questions.

Inspired by this post on Search Engine Land.

June 4, 2026
Unveiling Google Search Console’s AI Controls and Reports

As someone who eagerly follows Google’s updates, I was thrilled to learn about the latest developments in Google Search Console. Recently, Google has started to roll out new Search Generative AI performance reports. These reports, along with a feature to block your content in AI responses, are designed to give website owners more control.

Currently, these features are being introduced to a select group of website owners in the UK, but there are plans to expand access in the near future. This gradual rollout allows us to get accustomed to these changes before they become widely available.

Exploring the Search Generative AI Performance Report

The new AI performance report in Google Search Console is something I’ve been anticipating. Although it doesn’t cover everything, it does provide some important insights into how our content is performing within AI responses, AI Mode, and AI Overviews on Google Search. The report includes data on impressions, pages, countries, devices, and dates. However, a notable omission is click data, so we’re left guessing about the exact number of searchers clicking through to our sites from AI responses.

Google stated:

– We’re rolling out new insights for website owners regarding their pages’ appearances in generative AI Search features. These insights include impressions metrics and information on which pages appear in AI responses and in which countries. We’re working closely with website owners to determine what insights would be most helpful and will expand the metrics available over time.

Additionally, Google shared more details about the metrics we can expect:

– Impressions: Frequency of your site’s URLs appearing in generative AI features in Search and Discover.

– Pages: Identifying URLs that appeared within AI features.

– Countries: Understanding visibility on a country basis.

– Devices: Identifying the devices used to view your website. Available for Search results.

– Dates: Monitoring performance with hourly, daily, weekly, and monthly granularity.

I inquired about click data from a Google representative, who mentioned that they are exploring additional metrics that will help inform our strategies in the future.

Initially, this report is available to a subset of users in the UK, with plans to expand globally in the future.

If you want to explore more about this report, I recommend checking out the Google help center document.

Introducing AI Blocking Controls

Another exciting feature Google introduced is the ability to block your content from appearing in AI search features like AI Overviews, AI Mode, or AI Discover. Google described this as a “new toggle” within Google Search Console, allowing us to decide whether or not our site should be part of these AI search features.

Google notes that opting out will prevent your site from receiving traffic or impressions from these features. Importantly, this control won’t affect your ranking in standard search results outside of generative AI Search features, so there’s no risk of negatively impacting core web search visibility.

Again, like the performance report, this toggle is currently available to a subset of UK website owners, with plans to widen access as they complete further testing. Google had promised these controls after facing some backlash from the EU, and it’s promising to see them starting to roll out now.

One study even showed that 1/3rd of SEOs are willing to block Google from showcasing their content in AI search features.

Why It Matters

As site owners and publishers, many of us have been asking for control over how and if our content appears in Google’s AI features. Now, we have just that. Although it’s initially limited, I’m hopeful these features will eventually be available to all.

Moreover, we’ve been requesting AI Search reporting from Google from day one. With Google’s announcement following Bing’s release of its own AI performance report, we’re taking a significant step forward. While Google’s report currently targets UK site owners and lacks click data, it holds promise for a global rollout soon.

Inspired by this post on Search Engine Land.

June 3, 2026
Microsoft Unveils Web IQ: Revolutionizing AI-Agent Searches

I’m excited to share that Microsoft has launched a groundbreaking search service specifically designed for AI-agents, as agents have unique search requirements compared to humans.

I’ve learned that Microsoft’s latest innovation, Web IQ, is here to bridge AI systems with real-time intelligence online. As a suite of AI-native grounding APIs, Web IQ sources fresh data, be it web pages, news, images, or videos, as announced by Microsoft here.

What is Web IQ? Web IQ is all about connecting AI systems to real-world updates, leveraging Bing’s index for superior understanding. I find it fascinating how it uses the same infrastructure as Microsoft Copilot and other leading LLMs, like ChatGPT.

However, I discovered that Web IQ’s APIs are newly developed for efficiency and relevance, crucial for serving Bing, Copilot, and ChatGPT queries rapidly.

For AI-Agents, Not Humans. Web IQ tailors search results specifically for AI-agents. Unlike human-oriented Bing Search, ranking isn’t a priority here, as agents need swift information extraction, as stated by Jordi Ribas, President of Search & AI at Microsoft.

Unlike us, AI-agents don’t just issue a single query; they delve deeper and continuously expand their search. This paradigm shift meant re-architecting search from indexing to orchestration, aligning it with AI needs, as per Microsoft’s insights.

Given the frequency of searches AI-agents perform, Microsoft designed Web IQ to operate efficiently, minimizing token usage to deliver better and faster results. It’s currently 2.5 times faster than its nearest competitor.

Access and Availability. At present, Web IQ supports Microsoft Copilot, OpenAI’s ChatGPT, and other large LLM platforms. As Microsoft scales this technology, I expect wider access to follow.

If you want to express interest in Web IQ, Microsoft encourages you to visit this page.

Why this Matters. As we witness the web transforming to accommodate agentic technologies, keeping an eye on these developments is vital. Websites, including mine, must evolve alongside these AI advancements.

AI-agents aren’t just a trend; they’re part of the web’s next evolution. I’m preparing to embrace this change, and I suggest you do too.

Inspired by this post on Search Engine Land.

June 2, 2026
Why ‘It’s Just SEO’ is Limiting Our Industry’s Growth

I’ll be honest; the ongoing discourse around the GEO debate feels like a distraction from a much more significant transformation. AI systems are reimagining how brands, sources, and recommendations are surfaced, demanding our full attention.

It’s both impressive and frustrating how search has managed to spark such passionate debate at a time when it should be becoming more pivotal to clients. Yet, our industry is stuck in arguments that render us irrelevant.

So, who truly owns the future of search? That’s the real question we need to tackle.

Who defines the next phase of search? Who secures the budget? Who articulates the shift from a list of links to a machine-driven recommendation system?

The phrase “it’s just SEO” has caused considerable damage. It sounds like the calm, seasoned wisdom you’d expect from a search veteran. However, it lacks strategic depth. It’s a meme that constrains one of the most substantial commercial opportunities in years.

Why Memes Matter in Search

Memetics isn’t a new concept. Richard Dawkins introduced it in “The Selfish Gene” in 1976, suggesting that ideas spread through culture in a fashion similar to genes. Susan Blackmore expanded on this, claiming we’re essentially ‘meme machines’ built to propagate cultural information. The most resilient ideas aren’t necessarily true; they’re the stickiest.

Take “Happy Birthday to You,” it’s memorable and universally known not because it’s brilliant, but because it’s easy to replicate and emotionally fulfilling. Slogans and professional clichés endure for their simplicity and utility, not their accuracy.

SEO and GEO are entangled in a memetic struggle. This issue is amplified as the phrase “it’s just SEO” became predominant when GEO appeared, driving a wedge into meaningful conversation.

When GEO first came into the discussion, reactions varied. While some recognized the need for new tools and methods, others viewed it as a threat, repelling it with the phrase “it’s just SEO” — turning it into a chant and then a weapon. It was an ideal meme, short and socially protective.

The follow-up meme “GEO grifter” did even more harm, framing advocates of GEO as opportunists and stifling exploration and innovation. This behavior causes harm when consensus forms based solely on repetition, with the algorithms rewarding those repeating the framing, creating a false sense of agreement.

Clients Seek Certainty, Not Acronyms

I’ve observed firsthand at conferences like BrightonSEO that many marketers are already leveraging generative systems. They don’t need debates over terms; they’ve adapted to new processes accordingly.

SEO has always been difficult to sell against paid counterparts due to previous uncertainties and failures. Nonetheless, good SEO generates tangible success. Failing to clarify the changes will see budgets drift elsewhere, especially to paid avenues.

The B2B Institute’s Findings

According to LinkedIn’s B2B Institute, growth for B2B brands stems from being easy to locate. Digital environments now demand visibility across new platforms.

The report views GEO as an extension of SEO and emphasizes establishing authority, relevance, and credibility. Discoverability is altering, yet core principles endure.

The 9 a.m. to 5 p.m. Dilemma

“It’s just SEO” oversimplifies a vast concept. When someone insists GEO is “just SEO,” I must ask — which kind? Each interpretation involves different practices and focuses.

If our response to generative systems is “helpful content,” we’re on the wrong track. The future demands more than vague promises; it requires adopting digital PR, brand strategies, and tactical marketing insights.

No Name, No Funding

Markets can’t invest in what they don’t recognize. Naming GEO is crucial as it turns abstract threats into actionable categories. Without a name and a defined category, the industry will fail to secure the investments needed to thrive in an altered landscape.

Ultimately, whether we call it GEO, AI search visibility, or SEO evolved, defining it ensures survival and growth. Brands that embrace this will capture opportunities that arise as search evolves.

A New Framing for Change

It’s time to acknowledge change and redefine the narrative. The transformation involves becoming the recommended brand — present, visible, and credible. It’s about expanding SEO to embrace the broader spectrum of digital marketing.

Adapting to these shifts will ensure brands maintain their visibility as search continues to evolve. Those clinging to outdated debates are at risk of missing out entirely.

Inspired by this post on Search Engine Land.

June 2, 2026
Elevate Your Commerce Media with Demand Gen on Google Platforms
I’ve discovered an exciting update that expands the possibilities for brands in commerce media, now allowing access beyond just retail sites.

Brands can harness retailer first-party data to seamlessly run Demand Gen campaigns across platforms like YouTube, Discover, and Gmail through the Commerce Media Suite. It’s a remarkable expansion that takes retail media far beyond its traditional boundaries.

What’s happening: Google has broadened its Commerce Media Suite to support Demand Gen inventory, paving the way for enhanced collaboration between brands and retailers through shared audience data.

With this update, advertisers can activate retailer audiences across Google’s visual and discovery-driven channels, while still leveraging the insights that fuel powerful retail media campaigns.

Why it matters: This development integrates retailer first-party data with the vast reach of YouTube, Discover, and Gmail, ensuring brands can connect with high-intent shoppers even beyond retailer websites, and link ad exposure directly to actual sales figures.

How it works: Retailers provide their first-party audience data through the Commerce Media Suite, enabling brands to run Demand Gen campaigns across Google’s services.

Google’s AI optimizes delivery to boost conversions and sales along the customer journey. It also enhances reporting, linking ad exposure to purchase outcomes, giving advertisers greater insight into campaign success and business impact.

Key benefits:
- Utilizes retailer first-party data to reach relevant customers on a large scale.
- Harnesses Google AI to optimize for conversions and sales.
- Simplifies campaign management with a shared data activation framework.
- Improves reporting by tying digital engagement to final purchases.
The bottom line: The integration of Demand Gen inventory signifies a significant advancement in commerce media. As retail media networks expand beyond their own channels, brands now have the opportunity to merge retailer audience insights with Google’s impressive reach across YouTube, Discover, and Gmail.

Inspired by this post on Search Engine Land.
June 1, 2026

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