In October 2026 we put ten buying questions from our own category to ChatGPT, Perplexity, Claude, Gemini and Grok. "What are the best brand intelligence platforms?" "Which tools extract structured brand guidelines from a company's website?" The questions a buyer asks before they know we exist. A hundred and nineteen answers came back, and Jinn was named in none of them.
We run that sweep on our own brand with the same questions each time, the way we'd run it for a customer, and I'd rather open with our zero than with someone else's. The zero is less interesting than what the engines cited instead. Across those 119 answers they pointed at 228 different websites. The single most-cited domain belonged to a brand-management vendor we compete with. Review sites and "best tools" roundups ran all the way down the list. And two of the six readings (Claude came back twice, through its API and its web app) returned 40 answers between them with no sources at all. Those answers came straight from what the model already believed about our category.
That sweep holds most of the GEO vs SEO question. Some of what decides the answer is the same old work. Some of it is a different contest with a different judge, and a brand that treats the two as one will measure the wrong thing.
What each one is
SEO, search engine optimization, is the work of making pages that a search engine can crawl, index and rank, so that a person who searches sees you on a list and clicks. The unit is a page. The prize is a position. The person does the choosing.
GEO, generative engine optimization, is the practice of structuring your content and facts so that AI answer engines cite you when they compose an answer. The name comes from a paper by researchers at Princeton and IIT Delhi, first posted in November 2023 and presented at KDD 2024 (Aggarwal et al., "GEO: Generative Engine Optimization"). You'll also hear AEO, answer engine optimization, used almost interchangeably. It is a young category and loosely defined, and a lot of what gets sold under the name is guesswork dressed as method. The prize is a sentence: to be named in it, and ideally to be cited as the source it was built from.
Where they overlap
More than the GEO pitch decks admit.
Google says it plainly in its own guidance on AI features: "The best practices for SEO remain relevant for AI features in Google Search (such as AI Overviews and AI Mode)." To show up as a supporting link in those answers, a page has to be indexed and eligible to be shown in Search with a snippet, and Google lists no additional technical requirements (Google Search Central, AI features and your website). OpenAI's documentation makes the same point from the other side: sites that opt out of its search crawler, OAI-SearchBot, will not be shown in ChatGPT search answers (OpenAI, Overview of OpenAI crawlers).
So the floor is shared. A page an engine can't fetch can't be cited. A site with no authority on the web is a site the engines have little reason to trust. Ranking well still helps. In Ahrefs' study of 4 million URLs cited in AI Overviews, across 863,000 searches, 37.9% came from pages that ranked in Google's top ten for the same search (Ahrefs, March 2026). That makes rank the strongest single signal I've seen. It also means most citations come from somewhere else.
Where they differ
The difference starts with who chooses. On a results page, ten links sit in front of a person and the person picks. In an AI answer, the engine reads the pages, picks the few it trusts, and writes a paragraph. By the time the person looks, the choosing is done.
| SEO | GEO | |
|---|---|---|
| What you compete for | A position on a list of results | A place inside the answer: named in it, ideally cited as its source |
| Who picks | The person, from the links in front of them | The engine, before the person looks |
| What is judged | A page, ranked against the query | Passages, retrieved sub-question by sub-question |
| What the reader sees | Your title and snippet, in your words | The engine's paraphrase of you |
| What helps | Pages an engine can crawl, index and rank | Cited sources, quotations and statistics, a record an engine can check, and a place on the third-party pages it trusts |
| How you measure | A mature scorecard, mostly in Search Console | Mention rate, citation rate, share of answer and accuracy, on a fixed set of questions |
By the time the person looks, the choosing is done.
Pew Research Center watched this happen in real browsing data. In March 2025, people who saw an AI summary on Google clicked a traditional result on 8% of visits, against 15% when no summary appeared. They clicked a link inside the summary itself on 1% of visits (Pew Research Center, July 2025).
Ranking versus retrieval and citation
Search ranks documents against a query. An answer engine works on pieces. Google describes its AI features as possibly using a "query fan-out" technique, "issuing multiple related searches across subtopics and data sources" to build the response. The engine breaks the buyer's question into sub-questions, retrieves candidate pages for each, and builds the answer from the passages that handle one piece well. So the contest runs sub-question by sub-question, against every page that answers one of them better than you do.
That is why rank and citation drift apart. In the Ahrefs data, 31.0% of AI Overview citations came from pages that didn't rank in Google's top hundred for the search at all. Outside Google it's wider still. Across 15,000 prompts, only 12% of the links cited by ChatGPT, Gemini and Copilot appeared in Google's top ten for the same prompt; Perplexity ran higher, at 28.6% (Ahrefs, August 2025).
What gets picked
The GEO paper tested what makes a page more visible inside generated answers, on a benchmark of 10,000 queries. Adding citations to sources, quotations and statistics raised a page's visibility by 30 to 40% in relative terms. Keyword stuffing, the oldest SEO shortcut there is, did little, and on Perplexity it did about 10% worse than leaving the page alone.
The finding I'd put on the wall is the one about rank. In their tests, lower-ranked pages gained the most. The page ranked fifth saw its visibility rise 115.1% when it cited its sources, while the top-ranked page lost 30.3% of its visibility. Inside an answer, position on the old list is a head start you can lose to a page with better evidence in it.
Inside an answer, position on the old list is a head start you can lose to a page with better evidence in it.
Memory has no SEO equivalent
Some answers don't retrieve anything. Those 40 source-less answers in our sweep were the model talking from training, and nothing you publish reaches that answer until the model learns again. What does reach it is what the web said about you, consistently, over a long time. SEO never had a version of this. A new page can start ranking as soon as it's indexed.
The reader sees a paraphrase
A results page shows your title and your snippet, in your words. An answer shows the engine's paraphrase of you, and wherever your record is thin, the engine fills the gap with whatever it has. So AI visibility is two questions at once: are you in the answer, and is what it says about you true? A confident, wrong description is worse than absence. It also matters whether you were named or cited. A mention names your brand. A citation means the engine built the answer from your page and pointed back to it. Those are different wins, and folding them into one number flatters the weaker one.
I'd treat GEO as SEO's last mile, judged by a different reader. Keep the foundation. Then put the new effort into the two things SEO never asked of you: pages that answer the exact questions buyers ask, with facts an engine can check, and a presence on the third-party pages the engines already trust. The durable part of GEO is grounding. Get the record right and structured, and the engine has something real to cite.
What I'd do this quarter
Write down the ten to twenty a buyer asks before they know your name: the "best X for Y" questions, the alternatives, the head-to-heads, the "is it worth it". Leave your brand out of every one. A branded question flatters you, because the engine will perform knowledge of whatever you name. The unbranded question is the honest one, because it's where the engine has to choose.
Ask every engine, more than once, because the same question can come back different on the next try. For each answer, write down whether you were named, whether your site was cited, who was named and cited instead, and whether what it said about you was true.
The facts an engine needs about you (what you make, who it's for, what's in it, where to buy it) should be stated plainly on your own site and match everywhere else you're described. Where an engine got something wrong, find the page it should have read and make the true version impossible to miss.
For every question where a competitor's list or nobody at all was cited, write the page that answers that question directly, with the sources, numbers and quotes in it that the GEO research found engines lift. In our sweep, review sites and roundups were all over the citations. Getting onto the lists the engines already read is part of the work too, and it looks a lot more like PR than SEO.
The unbranded question is the honest one, because it's where the engine has to choose.
Keep the SEO floor while you do it. Check that your robots file isn't blocking the search crawlers the engines use, and skip the keyword stuffing, which the research suggests can cost you.
How you'd measure it
SEO's scorecard is mature, and most of it lives in Search Console. GEO needs its own. I'd track four numbers against a fixed set of questions.
The share of answers that name you. A mention names your brand. Count it on unbranded questions, because a branded question flatters you: the engine will perform knowledge of whatever you name.
The share of answers that cite your domain as a source. A citation means the engine built the answer from your page and pointed back to it.
Your slice of the brand mentions in those answers, against a named set of competitors. It shows who the engines named instead of you.
Of the claims the engines make about you, how many are true. A confident, wrong description is worse than absence.
The rules that keep those numbers honest matter more than the numbers. Freeze the question set and version it; a rate measured against whatever questions happen to flatter you means nothing. Read every engine separately, because they retrieve differently and some answer from memory. Sample more than once, because one run is weather. Keep every answer verbatim with its date, so a change in the number can be traced to a change in what the engines said. And be clear about the limit. Nobody can draw a clean line yet from "the model named us" to a sale. Presence in the answer sits upstream of everything else, the way shelf placement always did.
Our zero out of 119 is a baseline. The next reading of the same ten questions is the only thing that will tell us whether the work landed.
If you'd rather not build the spreadsheet, this is the read we built Fama to do. The AI visibility tool page walks through what it measures, and the grader asks the six assistants your customers use about your brand, then checks every answer against the truth. Either way, run the ten questions. The paragraph about your category gets written whether you read it or not.
Ask the assistants about your brand
The grader asks the six assistants your customers use about your brand, then checks every answer against the truth.
Run the graderIs GEO the same as AEO?
Close enough that most people use the names interchangeably. AEO leans on the questions buyers ask; GEO leans on the content and facts that answer them. It is the same work seen from two sides.
Should I stop investing in SEO?
No. Google says SEO best practices remain relevant for AI Overviews and AI Mode, and a page has to be indexed and eligible for a snippet before it can be cited there. SEO is the floor GEO stands on.
If I rank first on Google, will AI answers cite me?
Often not. Ahrefs found 37.9% of AI Overview citations came from pages in Google's top ten, and only 12% of the links cited by ChatGPT, Gemini and Copilot appeared in Google's top ten for the same prompt.
Which AI engines should I check?
The six your buyers use: ChatGPT, Perplexity, Claude, Gemini, Grok and Google's AI Overviews. Read each one separately. Some lean on live retrieval and citations, and some answer from what the model already knows.
How do I know if an AI answer about my brand is wrong?
Compare each claim against a verified record of your own facts. Tone monitoring tells you whether an engine sounds positive. Only a source of truth tells you whether it's right.