Alignment AIWhat is GEO? How brands get recommended by ChatGPT, Perplexity and Google AI
GEO — generative engine optimization — is the practice of earning recommendations inside AI-generated answers: the replies ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews give when a buyer asks what to buy. This guide explains, from the measurement work we run every week, how those answers are assembled, what actually earns a brand a place in them, and how to tell whether it is working.
The short definition
Generative engine optimization (GEO) is the discipline of making a brand the answer an AI assistant gives — mentioned, described accurately, and recommended — when a buyer asks a question in your category. Where SEO competes for a position in a list of ten blue links, GEO competes for a place in the one answer the user actually reads.
That shift matters because the buyer's journey is moving. A cross-border brand's customer increasingly starts with "what's the best X for Y?" typed into ChatGPT — and the answer names two or three brands, cites a handful of sources, and ends the comparison right there. If your brand is not in the answer, no amount of classic ranking below it gets seen.
How an AI answer is assembled
Every AI answer your buyer sees is built from up to three inputs, and GEO works on all three:
- What the model already knows. Facts and associations absorbed in training — which brands exist, what they are known for, who they are compared against. This layer changes slowly and is shaped by the public record about your brand.
- What the engine retrieves live. ChatGPT, Perplexity and AI Overviews search the web at answer time and ground the reply in pages they fetch: your site, directories, review platforms, community threads, media coverage.
- What it chooses to cite. The sources surfaced as citations are the ones the engine treats as corroboration. Being cited is both a trust signal to the reader and the mechanism by which your facts enter future answers.
The practical consequence: an AI engine recommends the brands it can verify. A brand whose facts are consistent everywhere, whose claims are repeated by independent third parties, and whose own pages state plainly what it sells, to whom, and at what price, is easy to recommend. A brand that exists only on its own homepage is a rumor.
GEO vs. SEO: what actually changes
| SEO | GEO | |
|---|---|---|
| Surface | A ranked list of links on a results page | A single generated answer, often with citations |
| Unit of work | Keywords and pages | Buyer prompts and the sources that answer them |
| Success metric | Ranking position, clicks | Mention rate, recommendation position, cited URLs, share of answers vs. competitors |
| Who corroborates you | Backlinks | Directories, reviews, community threads, media, catalogs — anything the engine reads |
| Timescale | Weeks to months | Months; leading indicators (citations) move first |
The foundations overlap more than the hype suggests: crawlable pages, fast and clean technical health, and consistent entity facts serve both. That is why we run GEO and SEO as one program rather than pretending either replaces the other.
What earns a recommendation
From running fixed prompt sets across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews every week, five factors decide whether a brand shows up in answers:
- Entity clarity. One name, one description, one set of facts — identical on your site, your LinkedIn, your marketplace stores and every directory. Engines reconcile conflicting facts by trusting none of them.
- Third-party corroboration. Profiles on the platforms AI reads (Crunchbase, Clutch, G2, industry directories), genuine reviews, and community presence. Reddit threads in particular are cited constantly by ChatGPT and Perplexity — a real presence there compounds into AI citations.
- Citable content of your own. Pages that state definitions, comparisons and prices in plain language a model can quote. "Pricing available on request" cannot be cited; a published price can.
- Machine-readable facts. Clean canonical pages, structured data, an llms.txt, and catalog data that agrees with your marketing claims.
- Category presence. Being part of the comparison sets the engines already produce — the "best X" lists, roundups and forum answers in your category — rather than only publishing on your own domain.
How we know this: we operate GEO monitoring as a product — fixed prompt sets run across the major AI engines, recording mention rate, position, sentiment, cited URLs and competitor share for every prompt. This guide describes the patterns that data shows week after week, not a theory of how the models ought to work.
How GEO is measured
GEO measurement starts with a fixed set of buyer prompts — the exact questions your customers ask, agreed in writing before work begins. Each prompt is run on a regular cadence across the engines your buyers use, and four things are recorded every time: whether the brand is mentioned, in what position, which URLs are cited, and which competitors appear instead.
Two warnings from practice. First, checking your own chat window proves nothing: answers vary by account, history, location and time, so a single screenshot is an anecdote, not a metric. Second, demand prompt-level data from anyone selling you GEO. An aggregate "AI visibility score" that cannot be decomposed into prompts, engines and citations is not auditable — and unauditable numbers drift toward whatever the vendor needs them to say.
What does not work
- Buying the recommendation. OpenAI sells sponsored placements that appear below answers and states they do not influence the answer itself. There is no checkout for an organic recommendation.
- Fake reviews and astroturfed threads. Beyond the platform bans they earn, engines discount sources that read as manufactured. The tactics that get brands removed from Reddit get them discounted everywhere else too.
- Keyword stuffing, rewritten for LLMs. Models are not matching strings; they are summarizing sources. Repeating a phrase forty times makes your page a worse source, not a better one.
- One-off "AI press releases." A single syndicated release with no corroboration around it fades in weeks. GEO compounds from a maintained presence, not a spike.
Realistic expectations
Citations move before mentions, and mentions move before recommendations. A healthy program shows engines citing your pages and profiles within weeks, mention movement on the tracked prompt set over the following months, and steady gains in share of answers against named competitors. This is also why our own GEO contracts carry a guarantee written the measurable way: a minimum number of recommendations inside AI answers across an agreed prompt set — at least 50 on the 100-prompt plan, at least 100 on the 200-prompt plan — rather than a promise about any single answer on any single day. The full numbers are in our GEO pricing guide, and the service itself is on the GEO + SEO page.
Frequently asked questions
Is GEO different from SEO?
Yes. SEO earns a position in a list of links on a search results page; GEO earns a mention or recommendation inside a single generated answer. The two share foundations — crawlable pages, clear entity facts, third-party authority — but GEO is measured per prompt and per AI engine, not per keyword ranking.
How long does GEO take to show results?
Leading indicators come first: AI engines start citing your pages and third-party profiles, usually within weeks. Mention and recommendation movement on a fixed prompt set builds over months, because models and their retrieval indexes update on their own cadence. Anyone promising results in days is selling something else.
Can you buy a recommendation in ChatGPT?
No. OpenAI sells clearly labeled sponsored placements shown below answers, and states that ads do not influence the answers themselves — its answer independence principle. A recommendation inside the answer has to be earned through the sources the model reads and trusts.
How is GEO measured?
With a fixed set of buyer prompts agreed in advance, run on a regular cadence across the engines your buyers use. For each prompt you record whether the brand is mentioned, in what position, with what sentiment, which URLs are cited, and which competitors appear instead.
GEO pricing, in the open
What GEO costs, what drives the price, and how to compare quotes.
How to advertise in ChatGPT
The paid side of AI answers: who sees ads, how targeting works, and what a first campaign needs.
The GEO + SEO service
Published plans and guaranteed recommendation KPIs, run as one program with SEO.
Find out what AI says about your brand today.
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