In the nearly two and a half years since a team of researchers at Princeton and Georgia Tech published the first paper on Generative Engine Optimization (GEO), the search marketing world has done something it rarely does: it has argued endlessly about what to call the very thing it is trying to do. The tactics are familiar — clearer content structure, stronger entity signals, third-party validation, authoritative sourcing. But the label? That remains an open question. And as the debate drags on, brands are making budget decisions, building internal teams, and signing agency contracts based on terminology that even the industry's leading voices cannot align on.

This is not merely a branding exercise. The confusion is structural, financial, and strategic — and it is actively shaping how organizations invest in the next era of search.

Where It All Started: The Research Paper That Launched a Thousand Acronyms

The term "GEO" entered the lexicon in November 2023, when Pranjal Aggarwal and colleagues at Princeton University and the Georgia Institute of Technology published a paper on arXiv titled simply GEO: Generative Engine Optimization. The paper introduced both a conceptual framework and a benchmark — a rare combination in early-stage AI research. Aggarwal's team proposed that optimizing for generative engines like ChatGPT, Gemini, and Perplexity required a fundamentally different approach than traditional search engine optimization, because these systems did not rank pages in a list but instead synthesized answers from multiple sources, citing some and ignoring others.

The paper was timely. Google had just begun rolling out AI Overviews in the United States, OpenAI was expanding ChatGPT's browse capabilities, and the entire search ecosystem was pivoting from retrieval to synthesis. Aggarwal's framework gave the industry something it desperately needed: a vocabulary. Within months, the acronym "GEO" began appearing in vendor pitches, conference agendas, and trade headlines.

But the vocabulary itself quickly became contested.

Google's Stance: "You Don't Need AEO Or GEO To Rank In AI Overviews"

In July 2025, Search Engine Journal published a report on Google's official position, and it was blunt: standard SEO was sufficient. Google was not asking site owners to adopt new disciplines, restructure their teams, or hire GEO specialists. The message was clear — the same fundamentals that drove traditional search performance would carry over into AI-generated experiences.

This was not a minor footnote. When the dominant search platform, which controls roughly 90% of global search market share, effectively dismisses a newly popularized acronym, the market listens. Google's position rested on a simple but powerful argument: AI Overviews and AI Mode still crawl, index, and evaluate content using the same core systems that power traditional search. If your content is structured, authoritative, and people-first, it will surface in AI-generated answers. If it is not, no new acronym will save it.

Microsoft, through its Bing Webmaster Tools team, took a somewhat more accommodating position. In early 2026, the company published guidance that acknowledged both AEO (Answer Engine Optimization) and GEO as useful frames, though it ultimately anchored both in what it called "classic relevance and clarity." The divergence between Google and Microsoft was subtle but meaningful: Google was saying the new labels were unnecessary, while Microsoft was saying they were helpful but not revolutionary.

The Industry Responds: "SEOs Can't Agree on a Name"

If the platforms were sending mixed signals, the practitioners were even more divided. In September 2025, Search Engine Land editor Danny Goodwin published the results of a survey that cut to the heart of the confusion. The headline said it all: "AI search optimization? GEO? SEOs can't agree on a name."

The survey revealed something important: despite widespread disagreement over terminology, the tactics SEOs were actually employing were remarkably consistent. Whether they called it GEO, AEO, LLMO (Large Language Model Optimization), or simply "good SEO," the practitioners were doing roughly the same things — improving content structure, building entity authority, earning citations from trusted sources, and ensuring their sites were crawlable by AI bots.

This disconnect between naming and practice became a recurring theme across the trade press. In April 2025, Ahrefs published a definitive take that resonated widely in the SEO community: "GEO, LLMO, AEO... It's All Just SEO." The argument was not that AI search was irrelevant — far from it. Ahrefs acknowledged that the rise of AI-generated answers represented a genuine shift in how people discovered information. But the company contended that the optimization discipline itself had not fundamentally changed. The levers were the same; only the surfaces had multiplied.

This position — that GEO is a label for an evolutionary step, not a revolutionary break — became one of the two dominant poles in the industry debate. The other pole was occupied by vendors, agencies, and some brand-side marketers who argued that AI search required entirely new capabilities, new team structures, and yes, new budgets.

The Hype Cycle Meets Reality

By early 2026, skepticism was gaining volume. In March 2026, Digiday published an investigation with the provocative headline "GEO hype busted," in which seasoned SEO veterans argued that many GEO tactics were "less revolutionary than sold." The piece reflected a growing frustration among practitioners who had watched a cottage industry of GEO vendors emerge, each promising to unlock visibility in ChatGPT, Perplexity, and AI Overviews — often using methods that differed little from established SEO and digital PR best practices.

Digiday's reporting was echoed elsewhere. In January 2026, MarTech published a nuanced assessment from Mike Maynard with a carefully hedged headline: "GEO isn't a fad — but most GEO tactics won't survive." Maynard's argument was that the underlying need — optimizing for AI-generated discovery — was durable, but the current generation of playbooks was fragile. Many of today's GEO strategies, he suggested, were essentially retrofitting SEO tactics with new labels, and as AI systems evolved, these surface-level adaptations would fall away.

The MarTech piece introduced a critical distinction that often gets lost in the terminology debate: there is a difference between the phenomenon of generative engine optimization (the real shift in how brands get discovered) and the tactics marketed under the GEO label (which may or may not be genuinely new or effective).

The Forbes Paradox: When One Publication Argues Both Sides

Perhaps no publication better captures the industry's confusion than Forbes, which published contradictory takes from its own contributor councils within a six-month span.

In October 2025, the Forbes Agency Council ran a piece titled "Generative Engine Optimization: The Next Frontier In SEO," framing GEO as the natural next stage of digital marketing evolution. The article positioned GEO as something agencies and brands needed to invest in urgently, with the implication that those who treated it as merely an extension of SEO would be left behind.

Then, in April 2026 — just half a year later — the Forbes Communications Council published a counterpoint with the headline "GEO Is Not The New SEO; It Is A Different Game Entirely." This piece argued that GEO followed fundamentally different rules from classic search optimization, and that conflating the two would lead brands to apply the wrong frameworks to a genuinely new challenge.

Both articles carried the Forbes brand. Both were written by senior industry voices. Both were aimed at the same audience of marketing executives and brand decision-makers. And they reached opposite conclusions.

For a brand manager trying to decide whether to hire a GEO specialist, reallocate an SEO budget, or simply wait and see, this kind of contradictory signal from a single trusted source is not just confusing — it is paralyzing.

The Semantics Problem Is a Money Problem

The terminology confusion is not an academic debate. It has real financial consequences.

In March 2026, Digiday reported that marketers were shifting growing shares of their search spending toward GEO — often without clear definitions of what they were buying. Vendors with "GEO" in their branding were winning contracts, sometimes from the same budgets that had previously funded traditional SEO. The problem was not that these investments were wrong; it was that buyers and sellers were frequently talking past each other, using the same acronym to describe different scopes of work.

A Digiday investigation from the same month described a "cottage industry of GEO vendors" booming as AI search grew — and noted the skepticism many enterprise SEOs felt toward vendors who seemed to be repackaging existing services with new labels. Meanwhile, large brands like Pfizer were building internal AI-search capabilities, essentially betting that the capability would be too strategically important to outsource — regardless of what it was called.

IBM, in an April 2026 report covered by Search Engine Land, went further, arguing that "every brand now needs a GEO playbook" — a systemized, documented approach to visibility in AI-generated answers. The underlying message was that whether you called it GEO, AEO, or advanced SEO, the organizational need was the same: brands needed a deliberate strategy for how they appeared in AI-driven discovery, not just in traditional search rankings.

What Everyone Actually Agrees On

Strip away the labels, and a surprising degree of consensus emerges from the noise. Across Google's documentation, Ahrefs' analysis, MarTech's measured assessments, Digiday's investigations, and even the most bullish vendor pitches, the same optimization levers recur:

  • Clear, structured content that AI systems can parse, extract, and synthesize
  • Evidence-backed claims supported by data, citations, and original research
  • Fresh, crawlable content that AI bots can access and evaluate
  • Strong entity consistency so that brands, people, and products are recognized accurately across contexts
  • Third-party validation from trusted sources — earned media, reviews, authoritative links
  • Measurement beyond clicks — citation counts, mention rates, prompt visibility, and the quality of AI referral traffic

The Salesforce GEO guide published in March 2026 crystallized this consensus around a simple idea: the goal is to "teach AI who you are." Whether that teaching process is called SEO, GEO, AEO, or LLMO, the inputs are broadly the same. The difference lies in how organizations organize around the work, budget for it, and measure its impact.

What This Means for Brands

If there is one actionable takeaway from the GEO naming wars, it is this: do not let terminology drive strategy. The debate over what to call AI search optimization is a symptom of genuine change, but it is not a substitute for clear-headed decision-making.

Here is what brands should do now:

1. Separate the phenomenon from the label

The shift from retrieval-based search to synthesis-based AI answers is real, permanent, and accelerating. Google, OpenAI, and Microsoft are all investing heavily in AI-generated search experiences. That is not a fad. But the specific acronyms and vendor categories that have emerged around it are still unsettled. Invest in the capability, not the label.

2. Audit what you are already doing

Most brands that have invested in strong SEO, content quality, and digital PR are already doing 80% of what any GEO playbook would recommend. Before hiring a GEO specialist or buying a GEO tool, audit your current programs against the emerging AI-search visibility factors. You may find that the gap is smaller — and cheaper to close — than vendors suggest.

3. Demand specificity from vendors

If an agency or vendor pitches you on "GEO services," ask exactly what they mean. Are they offering structured content optimization? Digital PR and citation building? Entity management? Technical crawlability for AI bots? The term "GEO" alone tells you almost nothing. The specifics — and how they map to your existing capabilities — tell you everything.

4. Build measurement before you build teams

One of the most productive developments of the past year has been the emergence of actual measurement tools for AI visibility. Bing Webmaster Tools added AI Performance reporting in February 2026. Adobe launched its LLM Optimizer dashboard in late 2025. Startups like Profound and Otterly AI are tracking how brands appear in AI-generated answers. Before expanding headcount or reallocating budgets, invest in visibility into whether your current efforts are actually surfacing in AI responses.

5. Treat it as an extension, not a replacement

The most sophisticated brand responses to the GEO shift — IBM's playbook development, Pfizer's in-house AI search team, Adobe's decision to make itself "customer zero" for LLM discoverability — share a common pattern. They treat AI search optimization as an extension of existing search and content capabilities, not a wholesale replacement. The brands that navigate this transition best will be those that integrate AI visibility into their current operations rather than siloing it under a new acronym with a new budget and a new team.

The Name Will Sort Itself Out

History suggests that the terminology debate will resolve itself, probably within the next 12 to 18 months. Search Engine Optimization endured its own acronym battles in the early 2000s, before ultimately becoming the accepted term for a discipline that had previously been called "search engine placement," "search engine marketing" (before SEM took on its paid-search meaning), and a handful of other labels. The tactics stabilized first; the naming followed.

What matters now is not whether your organization calls it GEO, AEO, LLMO, or next-generation SEO. What matters is whether you have a deliberate, measurable strategy for how your brand shows up when an AI system — whether Google's AI Overviews, ChatGPT's search, Perplexity's answers, or the next platform that emerges — synthesizes information about your market, your products, and your reputation.

The brands that win the next era of search will be those that focused on the work, not the word.

Developing story. We'll update as new data is validated by the team.