Educational Content 6 min read

Is GEO a Real Discipline or Marketing Hype?

Generative Engine Optimization is a real, peer-reviewed discipline. The hype is real too. What separates GEO that works from the hacks.

Tanissh Amit

TL;DR:

GEO is a real discipline with a peer-reviewed origin, but a lot of what is sold under the name deserves the skepticism it gets. The honest answer is that GEO is good SEO and more. Everything Google has always rewarded still applies, and on top of it sits a harder test: earning enough machine trust that AI engines name your company inside an answer. That trust comes from real value, original data, and answering the actual questions buyers ask, not from llms.txt files and formatting tricks. And the stakes are simple. AI names a few companies per question, so if the right company does not do this work, a worse one gets recommended in its place.

I'm Tanissh Amit, co-founder of Strategi, and I spend most of my working hours watching what AI engines say when buyers ask them for recommendations. So let me answer the question in the title directly: Generative Engine Optimization (GEO) is the practice of building the content, structure, and authority signals that make AI systems cite and recommend your company. That practice is real, measurable, and peer-reviewed. The hype is real too. Both things are true, and pretending otherwise in either direction is how businesses get burned.

The Skeptics Have a Real Case, So Let's Make It Properly

The strongest argument against GEO does not come from a cynical marketer. It comes from Google itself.

Google's Search Central documentation states plainly that there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary. In May 2026, Google went further and published its first official AI optimization guide, which says that from Google Search's perspective, optimizing for generative AI search is still SEO. The same guide names specific "GEO hacks" as ineffective: llms.txt files, content chunking, special AI markup, and chasing inauthentic brand mentions.

The skeptics' second point is just as fair. A consulting category exploded around AI search, and some of it is selling exactly the tactics Google names as useless. When an agency's pitch is a secret file format or a magic prompt structure, the "marketing hype" label fits.

If that were the whole story, I would agree that GEO is a rebrand with an invoice attached. It is not the whole story.

Where the Skeptics' Case Breaks Down

Three things dismantle it.

First, read Google's guide past the headline. The same document that says "still SEO" also tells you what actually earns retrieval: unique, expert-led, non-commodity content with a first-hand point of view. That is a standard most content that "ranks" has never met. So yes, it is still SEO, in the sense that a marathon is still running. The discipline did not change names. The bar changed height. That is exactly what I mean when I say GEO is good SEO and more, and it is why I wrote earlier that ranking first no longer means AI recommends you.

Second, Google's guidance covers Google. ChatGPT reached 900 million weekly active users as of OpenAI's February 2026 announcement, and it does not run on Google's index or Google's rules. Neither do Perplexity or Copilot. A one-engine answer cannot settle a multi-engine question.

Third, and most important, the discipline has peer-reviewed evidence behind it. The term GEO comes from a Princeton and Georgia Tech paper accepted to KDD 2024, which tested nine optimization methods across a 10,000-query benchmark and found that content changes can boost visibility in generative engine responses by up to 40%. The detail everyone should sit with is which methods worked. Citing sources, adding quotations, and adding statistics produced 30 to 40% relative improvements. Keyword stuffing, the classic SEO shortcut, produced little to no improvement. Real evidence and real substance moved the needle. Tricks did not. That result is the difference between a discipline and a vibe, and it maps exactly to what we see running visibility tests every week.

The "More" in Good SEO and More: Machine Trust

Here is the part I believe most deeply, and it is the core of how we work at Strategi. It takes a lot more for AI to trust you than for you to rank among ten blue links. Structured content, technical health, external mentions, and Reddit threads will only take you so far. As a brand, you must have the required trust signals, and the data must speak for itself.

Think through the endgame. If everyone starts "optimising" for AI search, what reason does an AI engine have to recommend you over anyone else? What do you have that someone else does not? Formatting is copyable in an afternoon. Two things are not:

  • Original data. Numbers you generated, benchmarks you ran, results you measured. The KDD 2024 finding that statistics addition was a top-performing method is the academic version of something obvious: an engine assembling an answer needs verifiable facts, and the company that produces them becomes the source.

  • Real answers to real questions. Pew Research Center found that question-form searches triggered AI summaries 60% of the time, against just 8% for one or two word queries. The question, asked in a buyer's own words, is now the unit of demand. Content built from keyword lists misses it. Content built from the questions your actual customers ask meets it head-on.

That is the discipline. Everything an honest SEO always did, plus proof.

This Is Not a Trend. It Is Where Buying Decisions Moved.

I want to be precise here, because this gets misread as "LLMs versus Google." It is not. Google is leading the shift. At I/O 2026, Sundar Pichai reported that AI Overviews has over 2.5 billion monthly active users and AI Mode passed 1 billion monthly users within a year of launch. Google is moving toward an answer engine format because answers are what people want, and AI Mode is genuinely excellent. LLMs like ChatGPT carry enormous value too. The shift is the format, not the vendor.

And the behavior change is measurable. In Pew's study of roughly 69,000 real searches, users clicked a result link 8% of the time when an AI summary appeared, versus 15% without one, and clicked a link inside the summary just 1% of the time. The answer increasingly is the interaction, which is why AI gives one answer, not ten links.

There is a user shift underneath all of this that I think about constantly. AI responses are deeply personalized to a person's specific requirements, and once someone starts making decisions with AI, nobody goes back to ten blue links and genuinely comparing. AI changed everything about how discovery feels. Demand-side data backs the one-way door: Google Ads keyword data we pulled through DataForSEO in July 2026 shows US searches for "generative engine optimization agency" up 860% year over year, with buyers paying $26 or more per click on the head term. Businesses are not budgeting like this for a fad.

Why It Actually Matters That the Right Company Gets Recommended

This is the part that made me start Strategi, so let me say it without agency polish.

AI answers name a handful of companies per question. That makes recommendation zero-sum, a dynamic I unpacked in The Recommendation Economy, Defined. And here is what I see all the time in visibility reports: genuinely high-quality companies putting no effort into their AI Presence, while competitors with weaker products and weaker service get recommended above them. The answer the buyer reads does not reflect the truth of the market. That is not just a lost lead for one company. It is a worse outcome for every buyer who trusted that answer.

The value derivation is straightforward. Discovery and shortlisting, the work that used to take a buyer weeks and a sales team months, now happens inside the engine before you ever know the buyer exists. When your company is the one named, you inherit the engine's credibility and enter the conversation with the decision half-made. When you are absent, you were never in the running and no dashboard tells you.

We exist at Strategi because we truly believe the right brands need to get recommended by AI, and we would like to do our bit in it. That is the whole thesis.

Frequently asked questions

Is GEO just SEO rebranded?
No, but it contains SEO. Every SEO fundamental still applies: crawlability, indexation, clean structure, quality content. GEO adds the trust layer that answer engines require before naming a company: verifiable authority signals, original data, cited evidence, and content that resolves real buyer questions. Good SEO gets you retrieved. The "and more" gets you recommended. If the acronyms confuse more than they clarify, our field guide to GEO, AEO, AIO, and LLMO untangles them.
Didn't Google say GEO is fake?
Google said no special optimization is required for AI Overviews and AI Mode, and that the hacks (llms.txt, chunking, inauthentic mentions) do not work. Both statements are correct, and we agree with them. Google also said the content that wins is unique, expert-led, and non-commodity. That is the demanding half of the guidance, and it is the half GEO as a discipline actually practices. Google's guidance also covers only Google, not ChatGPT, Perplexity, or Copilot.
Is GEO a passing trend?
The interface will keep changing. The underlying shift will not: AI Overviews serves over 2.5 billion monthly users, AI Mode passed 1 billion in its first year, and ChatGPT serves 900 million people weekly. People who make decisions through personalized AI answers do not return to comparing ten links manually. Getting the right company named inside those answers is a durable problem, whatever the tactics of any given quarter look like.
What separates real GEO work from hype?
Ask what the deliverable proves. Real GEO work produces evidence: original statistics, cited sources, expert answers to documented buyer questions, and measured visibility across engines. Hype produces artifacts: special files, secret formatting, guaranteed placements. The KDD 2024 research is a useful filter, since the methods it validated are all substance and the method it debunked, keyword stuffing, is pure mechanics.
How do I find out whether AI recommends my company today?
Run the questions your buyers actually ask across ChatGPT, Gemini, Perplexity, Copilot, and Google's AI Mode, and record whether you are named, how you are described, and who is named instead. That structured version of this exercise is an AI visibility audit, and it is the honest starting point before spending anything on optimization.

If this argument resonates and you want to see how we put it into practice, read more about Strategi and what we do.

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Sources

  1. arxiv.org
  2. developers.google.com
  3. blog.google
  4. pewresearch.org