The New Rules of Search: Why Generative Engine Optimization Demands a Fundamentally Different Playbook.

Executive summary.

The marketing industry is in the middle of a structural shift. Generative AI search is not an evolution of traditional Search Engine Optimization (SEO). It is a fundamentally different system with different mechanics, different winners, and different measurement requirements.

This whitepaper combines firsthand strategic insights from building Generative Engine Optimization (GEO) practices at the agency level with third-party data from eMarketer, Otterly.AI, BrightEdge, Gartner, Adobe Analytics, and other industry sources. The argument is simple: the brands and agencies that treat GEO as "just SEO with a new name" will lose. The ones that understand the structural differences and invest accordingly will define the next era of digital marketing.

Part I. The 67% gap that should change everything.

The data says GEO is not SEO.

The most persistent myth in digital marketing right now is that good SEO automatically translates to good GEO performance. Google itself has promoted this narrative. Agencies repeat it. Practitioners who spent 20 years perfecting their craft understandably don't want to hear they need a new playbook.

The data tells a different story. Only 33% of results overlap between traditional Google search and generative AI answers. That means 67% of the time, AI systems are surfacing different brands, different pages, different winners entirely.

If GEO were just SEO, the overlap would be 100%. It isn't even close.

This gap exists because of how these systems fundamentally differ in their retrieval architecture. Traditional search ranks pages. Generative search synthesizes answers by breaking prompts into multiple subqueries, retrieving results for each, and applying a process called Reciprocal Rank Fusion to determine which brands appear most consistently across all of those subqueries. Ranking #1 for a single keyword means nothing if your competitors appear across eight of ten fanout queries while you only appear in two.

Traditional SEO rewards depth on a single topic. GEO rewards breadth of corroboration across an entire topic landscape.

The industry data backs up the urgency. According to Otterly.AI's research, 50% of AI citations come from pages that are NOT in Google's top 10 rankings. The correlation between Google rank and AI visibility is far weaker than most marketers assume. Meanwhile, Gartner projects that organic search traffic will decline 50% by 2028, while AI search usage is growing by double digits monthly.

This is not a trend to monitor. It is a structural shift already underway.

The numbers behind the shift.

The scale of AI search adoption makes the stakes clear:

• 66.6% of US consumers now use social platforms for search purposes (eMarketer, 2025), fragmenting the discovery landscape far beyond Google.
• 25.9% of US internet users already use ChatGPT for search (eMarketer, 2025), placing it ahead of Pinterest and close to TikTok's 29.1%.
• 54% of Gen Z consumers have used generative AI tools for product discovery (eMarketer/CivicScience, 2025).
• AI-driven traffic to retail brand websites increased 1,200% year-over-year (Adobe Analytics, Feb 2025).
• 80%+ of consumers trust generative AI product recommendations equally or more than organic and paid search results (Adobe, 2025).
• AI search referral traffic converts at 3 to 5x higher rates than traditional search traffic (Otterly.AI).

That last point deserves emphasis. When someone arrives at your website through an AI recommendation, they convert at three to five times the rate of traditional search visitors. The AI has already done the evaluation work for them. They arrive with intent and confidence. The consumer journey from AI recommendation to purchase is fundamentally shorter and higher-converting than the traditional search funnel.

Part II. Why your brand is invisible to AI (and you probably don't know it).

The three visibility gaps.

When we audit a brand's AI visibility at Winston, the failures typically fall into three categories. Understanding these categories is essential because each requires a completely different remediation strategy.

Gap 1. The information simply isn't on your website.

This sounds painfully basic, but it is remarkably common. We had a cannabis dispensary client whose store offers veterans discounts, a genuinely differentiating attribute in their market. When someone prompted ChatGPT for dispensaries with veterans discounts, the client didn't appear. Why? Because that information didn't exist on their website in a way the AI could extract.

Sometimes GEO starts with simply stating what's true about your business, clearly and prominently, on your pages. If you offer a service, a feature, or a differentiator, it needs to exist in crawlable, text-based content on your site. The brands that lose in AI visibility are often simply not stating their own value proposition clearly enough for AI systems to find it.

This aligns with what the B2B data shows. ERI, a company specializing in IT asset disposition, ranks #1 for "ITAD services" across AI platforms largely because they've published 2,500+ pages of focused content on their specific area of expertise (eMarketer, 2025). The sheer comprehensiveness of their on-site content signals authority to AI systems in a way that a thin website never could.

Gap 2. The corroboration doesn't exist off your website.

AI systems don't just trust what you say about yourself. They seek validation from third-party sources: publications, review sites, social media, YouTube, Reddit, Wikipedia. If your website claims you're the best agency for beauty brands but no external source confirms that, the AI has no basis for surfacing you.

Otterly.AI's citation research quantifies this: 95% of AI citations come from third-party websites including media outlets, blogs, and YouTube. Brand building matters more than link building in the GEO era. And 25% of all website citations in AI answers come specifically from news and media sources.

This is the corroboration layer, and it is where GEO departs most sharply from traditional SEO. In the old model, backlinks were currency. In the new model, mentions, citations, and third-party validation across multiple platforms and content formats are what matter.

Gap 3. The AI literally can't see your content.

Here's the irony that the SEO industry needs to reckon with. For years, SEOs told website owners that JavaScript was the devil. Use server-side rendering. Make sure Google's crawlers can see your content. Then Google advanced their rendering systems and said, "We can render JavaScript. You're fine."

So the web moved toward JavaScript-heavy frameworks. Dynamic content. Third-party widgets.

Enter Large Language Models (LLMs). Which cannot render JavaScript. At all.

Every beauty brand running Bazaar Voice reviews? AI can't see them. Every e-commerce site with dynamically loaded product content? Invisible. Every Trustpilot widget, every JavaScript-rendered FAQ section? Gone.

And then there are the brands that proactively blocked AI crawlers in a panic about training data. They literally told ChatGPT to stay away, and then wondered why they don't appear in AI answers.

Otterly.AI's tech stack analysis confirms the fundamentals. CDN configurations blocking AI bots, robots.txt files disallowing AI crawlers, and JavaScript-heavy frontends that AI systems simply cannot parse are all common technical barriers. Their recommendation aligns with what we see in practice: static site generation, headless CMS architectures, structured data markup, and markdown-formatted content for AI agents are the technical foundations of AI-readable websites. This site, /winston, ships that way by default.

Part III. The affiliate problem nobody wants to talk about.

AI recommendations are more manipulable than consumers think.

There's a growing cultural assumption that when ChatGPT or Google's AI Overview recommends a product, a service, or a brand, the recommendation is somehow more objective than a traditional search result. The AI evaluated the options. It considered the evidence. It gave you the best answer.

The reality is far more complicated, and far less flattering.

When you prompt ChatGPT with "what's the best moisturizer for dry skin?" the ideal process would be for the AI to read hundreds of pages of documentation, user reviews, ingredient analyses, and expert evaluations, then synthesize a genuinely informed answer.

What actually happens is much lazier. The system queries for existing "best of" listicles, clicks into the top-ranking articles, and largely recycles whatever those lists recommend. The brands at the top of a Cosmo "Best Moisturizers" roundup or a Forbes "Best Software" listicle end up at the top of ChatGPT's answer. Not because the AI independently determined they were superior, but because the AI read the same listicle you could have found yourself.

The pay-to-play pipeline.

In the beauty and consumer space, the major publications (Allure, Birdie, Cosmopolitan) operate listicle placements as a revenue stream. A brand purchasing $50,000 in advertising often receives a placement in a "Best of" article as a value-add. Some publications sell listicle spots directly. The affiliate model means publications earn commission on every sale generated through their recommendation links, creating an incentive to recommend products with the highest affiliate payouts rather than the highest quality.

So the chain looks like this. A brand pays for placement in a listicle. The listicle ranks well in Google. The AI reads the listicle and surfaces those brands as recommendations. The consumer receives what they believe is an objective AI-generated answer.

Every link in that chain involves money changing hands. None of that context reaches the consumer.

Manipulation at scale.

Beyond the pay-to-play listicle ecosystem, there's outright manipulation happening at scale. Companies have published hundreds of AI-generated articles following a simple template: "Top [Category] [Service Providers]," placing themselves consistently at #1. These articles rank in Google, get picked up by AI systems, and result in those companies appearing as the top recommendation for dozens of categories they have no demonstrable expertise in.

At industry conferences, speakers have pulled up these recommendations and asked audiences of hundreds of seasoned professionals whether they've heard of the companies being recommended. Nobody raises their hand. Yet these unknown entities consistently top AI-generated answers.

The manipulation works because of how Reciprocal Rank Fusion operates. Flood the search results with enough self-promotional content, and you'll appear across enough subqueries to trigger consistent AI recommendations.

What this means strategically.

History provides some comfort here. Google has repeatedly demonstrated its ability to identify and penalize manipulative content patterns. The September 2024 algorithm update crushed several companies that had built their AI visibility on exactly this kind of scaled, low-quality content production.

But "eventually" is doing a lot of work in that sentence.

In the meantime, there's a genuinely interesting strategic dynamic at play. In traditional SEO, buying links was a penalizable offense. In GEO, there is currently no link equity, no spam penalty, no algorithmic punishment for purchased placements. The brands investing in strategic affiliate and media partnerships (the kind that get them into the listicles the AI actually reads) are seeing outsized returns in AI visibility.

The brands building their GEO visibility on substantiated claims, backed by genuine third-party validation, real customer reviews, expert endorsement, and authentic content, are building on a foundation that will hold through algorithm updates. Those gaming the system with scaled content spam are building on borrowed time.

Part IV. Video is the most undervalued GEO lever.

The citation data nobody's acting on.

When we analyzed AI citation sources for a major beauty brand across hundreds of prompts, the second-largest source of citations wasn't Reddit, wasn't niche blogs, wasn't industry publications. It was YouTube.

This isn't an anomaly. YouTube consistently ranks as the #1 citation source for Google's AI Overviews, outpacing Reddit by a significant margin.

Otterly.AI's cross-platform citation research confirms this pattern. YouTube and LinkedIn are among the most cited social media platforms in AI answers. And the data gets more specific: 94% of AI citations go to long-form YouTube videos, not Shorts. Perplexity and Google lead YouTube citation volume across AI platforms.

Yet most GEO strategies we see from other agencies focus almost entirely on on-site content and written third-party mentions. Video is an afterthought.

Why video works where GEO needs it most.

There's a critical nuance that most GEO conversations miss entirely: by the time someone opens ChatGPT to evaluate products, they usually already have a set of brands in mind.

Initial brand discovery, the moment a consumer first becomes aware of a brand, overwhelmingly happens on social platforms. YouTube, TikTok, and Instagram are where hearts and minds are won. The eMarketer data confirms this at scale:

• 49.1% of US consumers use YouTube for search purposes (eMarketer, 2025).
• 29.1% use TikTok for search.
• 40% of TikTok users search on the platform multiple times per day.
• 73% of TikTok searchers search daily.
• Gen Z uses TikTok for search at 58.8%, making it their dominant discovery platform.

Social search is not just top-of-funnel anymore. eMarketer's research shows social search is a full-funnel behavior with consumers using these platforms for discovery, research, comparison, and purchase. TikTok has even launched keyword bidding PPC tools, signaling that it views search as a core product feature.

GEO doesn't operate in a vacuum. When someone prompts "what's the best serum for dry skin?" and sees your brand listed among five options, the conversion from mention to consideration depends almost entirely on whether they've encountered you before. If they've watched your founder explain their formulation philosophy on YouTube, or seen a TikTok demonstrating the product, that AI mention lands completely differently.

This is why we frame GEO as a go-to-market strategy rather than a search tactic. The brands winning in generative search are the ones building recognition upstream through video-first social strategies.

The correlation between social and brand demand.

We've been measuring the downstream impact of social video on brand demand, and the data is compelling. For one vacation rental client, we demonstrated a 58% correlation between TikTok views and Google branded search volume with a consistent seven-day lag.

That seven-day lag is likely product-dependent (a vacation rental requires more consideration time than an impulse beauty purchase), but the mechanism is universal. People see your brand in video content, it enters their consideration set, and within days they're searching for you by name.

This has massive implications for the broader GEO measurement question we'll address later in this whitepaper.

What a video-integrated GEO strategy looks like.

Keyword-driven video production. Use your GEO prompt research to identify the questions and comparison queries where your brand should appear. Those prompts become the foundation for video topics, titles, and descriptions. If people are prompting "best moisturizer for sensitive skin over 40," that's a video, not just a blog post.

Transcript and metadata optimization. AI systems process video through transcripts, titles, descriptions, and chapters. Every video should be optimized with the same keyword strategy you'd apply to a landing page. The AI is reading it with the same intent.

Cross-platform distribution. A single video concept can be produced long-form for YouTube, cut into short-form for TikTok and Instagram Reels, and embedded on your website. Each version feeds a different part of the GEO ecosystem: YouTube for direct AI citation, TikTok for upstream brand discovery, and website embeds for on-site content enrichment.

Subject matter expert content over polished production. The content that performs best for both social algorithms and AI citation isn't the most expensive to produce. It's authentic, expert-driven content. A 90-second video of a genuine expert sharing a genuine insight outperforms a $50,000 brand film every time.

Part V. The measurement revolution.

Why traditional attribution breaks in a zero-click world.

The measurement question is the one that makes GEO conversations uncomfortable. And it should. Because it challenges the foundational assumption that digital marketing has operated on for twenty years: that every impression should produce a trackable click that generates attributable revenue.

GEO breaks that assumption completely.

When ChatGPT recommends your brand as one of five options for a given need, the user may never visit your website. The value was in the impression: being present in the consideration set, being validated by a system the consumer trusts. This is the "zero-click" reality that has been growing in traditional search for years, accelerated dramatically in generative search.

Even when clicks do happen, the attribution data is murky at best. Traffic arriving from Google's AI Overviews shows up as "direct" in analytics, indistinguishable from someone typing your URL into their browser. There's no UTM parameter, no referrer header, no channel tag that says "this person saw you in an AI answer."

If your measurement framework requires every impression to produce a trackable click that generates attributable revenue, GEO will always look like it has zero ROI. And that conclusion would be completely wrong.

The new measurement stack.

Otterly.AI's framework for the AI search funnel provides a useful structure for thinking about measurement in this new world. The funnel moves from Brand Coverage (are you appearing in AI answers?) to Website Citations (is your site being cited?) to Referral Traffic (both human clicks and AI bot traffic) to Branded and Direct Traffic (the indirect signal) to Conversions.

The critical insight is that Brand Coverage, the top of this funnel, is both the newest metric and the most important leading indicator. Otterly.AI's reporting framework tracks this across ChatGPT, Google AI Overviews, AI Mode, Gemini, Copilot, and Perplexity, with key metrics including:

• Brand Coverage: the percentage of relevant prompts where your brand appears.
• Domain Coverage: how often your website specifically gets cited.
• Gap to #1 Market Leader: relative competitive positioning.
• Brand Coverage MoM Growth: trajectory and momentum.
• 3rd Party Citation Mentions: which external sources are driving your visibility.

This is fundamentally different from traditional SEO KPIs. As Otterly.AI frames it: SEO measured impressions, clicks, traffic, and conversions. AI search measures brand visibility and website citations. The former is transactional. The latter is reputational.

Brand demand as the true evidence.

If prompt visibility is the leading indicator, brand search demand is the lagging evidence that GEO is working.

We've demonstrated this correlation empirically. The 58% correlation between TikTok views and branded search volume, with a consistent seven-day lag, points to a clear mechanism. Visibility in discovery channels (social, AI) drives consumers to search for the brand by name.

The same mechanism applies to GEO visibility. When consumers repeatedly see your brand recommended in AI answers for relevant prompts, it creates familiarity and trust, which manifests as increased branded search volume on Google, increased direct traffic, and ultimately increased conversions.

The measurement framework looks like this. Track prompt visibility across platforms as your leading indicator. Track branded search volume and branded traffic as your lagging indicators. Use correlative analysis to connect the two. This isn't guesswork. It's the same analytical rigor applied to out-of-home advertising, television, and every other brand marketing channel that existed before digital attribution simplified (and arguably oversimplified) how we measure impact.

Apple doesn't track which specific billboard sold which specific iPhone. They know their consumer drives down that highway, and they make sure they're there every single day.

GEO demands the same confidence in visibility-driven brand building, supported by the best correlative measurement tools available.

Correlative studies are making a comeback.

Before the last twenty years of last-click attribution dominance, marketing measurement was built on correlation and incrementality. Brands studied aggregate data across large populations, looked for patterns between investment and outcomes, and used statistical methods to quantify impact.

AI tools are now making this kind of analysis dramatically more accessible. Multi-touch attribution models, media mix modeling, and correlative studies that once required dedicated data science teams can now be executed by marketing teams using AI-powered analytics platforms.

The brands that will excel at GEO measurement are those that embrace a hybrid approach. Precise prompt-level tracking for tactical optimization, combined with correlative brand-demand analysis for strategic investment decisions. It's not either/or. It's a layered measurement stack that acknowledges the reality of how AI-mediated discovery actually influences consumer behavior.

Part VI. The content revolution ahead.

From commodity to information gain.

Here's a metaphor that captures what's about to happen with content marketing: the Fertile Crescent.

Remember learning about ancient Mesopotamia? Irrigation created surplus. Surplus created time. Time created the ability to actually think, innovate, build civilization.

That's exactly what's about to happen with content.

Right now, brands spend enormous resources producing 101-level content. "What is retinol?" "How to choose a moisturizer." Basic stuff, written in brand voice, optimized for SEO. AI will automate all of that. Every brand will have it. And consumers can already get those foundational answers from ChatGPT directly.

So what happens next?

The surplus of basic content creates time for depth. Instead of your subject matter expert spending 30 minutes editing a painfully boring 101 article, they turn on a microphone and talk about the most interesting case they ever solved. The deepest challenge they overcame. A genuinely new insight.

Then you use that rich human context as the foundation for AI-assisted content that actually delivers information gain.

The B2B data from eMarketer supports this shift. 21% of B2B marketers say creating high-quality content is their single biggest SEO challenge, and 49% identify content marketing as their top priority (eMarketer, 2025). The challenge isn't producing more content. It's producing content that matters.

Otterly.AI's content optimization framework reinforces this. AI systems reward "answer-first content," original frameworks and named concepts, real-world examples rather than generic advice, and opinions backed by reasoning. The AI-generated 101 article adds nothing to the world's knowledge base. But the AI-assisted article built on genuine human expertise? That's the content that wins, in Google, in AI, everywhere.

The content that will matter isn't AI vs. human. It's commodity vs. unique. Surface vs. deep. Recycled vs. information gain.

Your subject matter experts are your competitive moat. Start recording them.

The off-site authority engineering playbook.

The data from Otterly.AI's citation research maps the channels that matter for off-site authority in AI search.

Public Relations and Earned Media. 25% of all website citations in AI come from news and media sources. Listicles, press releases, and editorial content all perform well. Press releases that target specific queries in their headlines, include data-driven milestones, and incorporate review elements are particularly effective at generating AI citations.

Reddit. Reddit is among the highest-cited domains across AI platforms. The data from eMarketer shows Reddit's visibility in AI Overviews increased 1,000% according to BrightEdge's April 2025 analysis. Authentic participation matters. Spammy comments won't work long-term, but building a genuine presence in relevant subreddits, being transparent about who you work for, and providing helpful commentary creates a citation footprint that AI systems actively pull from.

Wikipedia. Wikipedia is among the most cited domains in most countries across AI platforms. Having an owned Wikipedia page boosts authority and entity clarity, and inclusion in Wikipedia category pages builds further authority. For brands that meet Wikipedia's notability criteria, this is one of the highest-ROI GEO investments available.

YouTube and Social Media. As discussed extensively in Part IV, YouTube and LinkedIn are the most-cited social platforms. Long-form YouTube content drives 94% of social media AI citations. LinkedIn Pulse articles and posts serve as popular written content formats that AI systems also cite.

Part VII. GEO as a level playing field.

Why challenger brands should be paying attention.

One of the more hopeful aspects of GEO is that it creates genuine opportunity for challenger brands.

Google's traditional rankings are deeply influenced by PageRank, a system that rewards backlink authority built over years or decades. For most competitive terms, unless you're a Fortune 500, you're not cracking the top 10.

GEO operates differently. Because AI systems don't just pull from the top Google results, and because they weight corroboration and comprehensiveness alongside raw authority, there's genuine opportunity for newer and smaller brands to appear alongside industry giants.

The D2C data from eMarketer makes this opportunity concrete:

• D2C ecommerce reached $239.75 billion in 2025, representing 19.2% of total US ecommerce (eMarketer).
• Gen Z is 2x more likely to buy D2C (28% vs. 13% of total population), and Gen Z is also the cohort most likely to discover brands through AI and social search.
• Brand websites remain the most trusted source for pre-purchase information: 52% for consumer electronics, 47% for apparel (eMarketer, 2025).
• 55% of consumers use generative AI specifically for product research, and 47% use it for product recommendations (Adobe, 2025).

Think about how prompts work in practice. "Find me shoes for a 38-year-old dad who works behind a desk but is somewhat active." The AI personalizes the search in ways Google never could. A niche D2C brand that perfectly serves that persona can surface even if they'd never rank for "best shoes" in traditional search.

The AI doesn't care that you've only been around for three years. If your content directly answers the question, your off-site presence corroborates your claims, and your website is technically accessible to AI crawlers, you have a legitimate shot. That's a meaningful shift, and the D2C brands that recognize it early will capitalize.

GEO is the door opening for brands that weren't in the good-rankings club.

Part VIII. The agency transformation imperative.

From SEO agency to GEO agency.

The industry data makes the transformation imperative clear. 85% of marketers believe AI will positively impact SEO, and 63% see AI Overviews as a positive development (eMarketer B2B SEO report, 2025). But believing something will have a positive impact and knowing how to capitalize on it are two very different things.

Only 11% of B2B marketers rank SEO as a current investment priority (eMarketer, 2025). This isn't because search doesn't matter. It's because the industry hasn't yet figured out how to sell GEO as a distinct, investable capability. That represents an enormous opportunity for agencies that build genuine GEO expertise.

Otterly.AI frames the transformation as a shift across five dimensions:

This is not a rebrand. It's a genuine capability evolution. GEO sits at the intersection of technical SEO, content strategy, digital PR, social search optimization, and brand marketing. No single existing discipline covers it. The agencies that build integrated practices across these capabilities will define the category. /winston was built for exactly this intersection.

The B2B opportunity is particularly underserved.

The eMarketer B2B data reveals something that most agencies are missing. B2B companies are seeing some of the most dramatic early results from GEO optimization.

One B2B services company optimized 52 FAQ pages for AI visibility. 32 of those 52 pages now appear in AI Overviews (eMarketer, 2025). That's a 61.5% success rate on targeted optimization, a number that would be extraordinary in traditional SEO.

Meanwhile, BrightEdge's April 2025 data shows YouTube's visibility in AI Overviews increased 281%, LinkedIn's increased 196%, and Reddit's increased 1,000%. These are the platforms where B2B content naturally lives, and they're gaining AI citation share at extraordinary rates.

B2B marketers who think GEO is just a consumer play are missing one of the largest opportunities in their channel.

Part IX. The career advice nobody asked for.

I recently sat down with two master's students from Stockholm University who are writing their thesis on GEO. At the end of our conversation, they asked what advice I'd give to someone entering the field.

Here's what I said: Get really good at AI. And just don't tell anyone how good you are at it.

That sounds like a joke, but it's the most practical career advice I can give right now.

Companies see AI productivity gains and the response isn't "let's give people time back." It's "we can do more? Great. Let's do more."

Nobody's splitting the difference. Nobody's saying "wow, maybe that 30-hour work week can be a reality." Instead, I'm watching companies adopt longer hours and heavier workloads.

Meanwhile, people are not going to lose their jobs to AI. They're going to lose their jobs to people who know how to use AI better than them.

So the play is clear. Master the tools. Build automations. Learn Model Context Protocol (MCP) servers and context engineering. Let AI handle the commodity work so you can focus on strategy, creativity, and the kind of thinking that makes you irreplaceable.

And when your output improves by 10x? Maybe don't volunteer exactly how you got there.

Conclusion. GEO is a go-to-market strategy.

GEO is not SEO with a rebrand. It's not something your existing SEO team can absorb without dedicated strategy, new tools, and a fundamentally different measurement framework. It sits at the intersection of technical SEO, content strategy, digital PR, social search, and brand marketing.

The data is unambiguous:

• 67% of AI results don't overlap with traditional Google results.
• 50% of AI citations come from pages outside Google's top 10.
• 95% of AI citations come from third-party sources, not your own website.
• 54% of Gen Z has used generative AI for product discovery.
• AI-driven traffic to brands increased 1,200% in a single year.
• 80%+ of consumers trust AI recommendations as much or more than traditional search.
• AI referral traffic converts at 3 to 5x the rate of traditional search traffic.

The brands that will lead in this new landscape are those that treat GEO as what it is. A comprehensive go-to-market strategy that happens to be anchored in the search bar, wherever that search bar lives.

Those that dismiss it as "just SEO" will be reading about themselves in the past tense.

Sources and citations.