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GEO Examples: Real Ways Brands Get Named in AI Answers

A GEO example is only worth reading if you can check it: a named query, the engine and mode it ran on, the date, what the answer said, and which page the engine cited. Below are five that pass that test, four of them our own logged runs, plus the research on why the same prompt keeps naming different brands.

Lourdes Paul Agilan, founder of GeoCited

Founder, GeoCited · Published · 7 min

Five dated, checkable GEO examples: the query, the engine, the date, and the page the engine actually cited. Plus the research on why the same prompt keeps changing its answer.

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Note on verification: our own runs were logged by us, on our accounts, and you cannot independently reproduce them, because temporary chats are deleted when closed and AI answers change between runs. I could not verify the outcomes on the competing "geo examples" pages, because none of them publish a query, an engine or a date. Every third-party figure below was opened at its original source on 17 September 2026. Where a study is vendor research, including our own, I say so.

Why most geo examples you find are not examples

I read the pages currently ranking for this term before writing. Most of them describe tactics and attach numbers to nobody.

One of them, geohelp.agency, says it outright: "The specific numbers and implementations are representative." Representative is not the same as measured.

Yotpo's page does name real brands with real figures, Goodr at 38% and Princess Polly at 112%, but those are reviews and loyalty results, not AI answer results, and the page carries no date or method. Stackmatix's pages are guides rather than examples.

So here is the bar I am holding myself to. An example names the prompt, the engine, the mode, the date, the brands that appeared, and the URLs the engine cited. Anything less is a story.

Example 1: ChatGPT named us only in the runs where it read our page

On 17 September 2026 I ran "best ai seo agency for MSPs" five times in ChatGPT, fresh temporary chat each time, Unpersonalized mode on.

ChatGPT named GeoCited in 2 of the 5 runs, position 5 of 5 and 6 of 6. In both of those runs it had cited geocited.io/ai-seo-services-for-msps. In the 3 runs where it did not cite that page, we were not named at all.

Twelve agencies appeared across the five runs and none made all five lists.

The page that decided the most answers was not ours. nuoptima.com/best-msp-seo-agencies was cited in 4 of 5 runs, and it does not mention us. Jumpfactor made the shortlist in 4 of 5 runs while ChatGPT cited Jumpfactor's own page only once, so its place came from other people's pages.

That is the most useful thing in the log. Being read got us named. Being listed by other people got Jumpfactor ranked. The full run log is here, including the run I threw out.

Example 2: one phrasing did all the work

On 29 and 30 August 2026 I ran 18 ChatGPT queries about GEO agencies in Chennai, across 8 different phrasings.

GeoCited was named in 4 of 18. All four came from a single phrasing, "best GEO agency in Chennai for B2B SaaS", which won 4 of its 7 runs. A near-identical rewording, "best geo agency for b2b saas chennai", returned nothing in 5 runs.

In all four wins we were first, and in all four the cited page was geocited.io/about. The 18-run write-up has every phrasing.

If you test your brand on one phrasing and call the result your visibility, this is what you are measuring: the phrasing, not the brand.

Example 3: a new domain reached an AI Overview in under 48 hours

We published a page on 29 August 2026, and by the morning of 30 August it was in the Google AI Overview source pool for "Which content formats win the most AI citations for B2B SaaS?"

At that point the domain had 7 referring domains, 19 indexed pages, and zero indexed blog articles.

At the second observation, the article grounded the opening sentence with a visible citation link. By the third observation, hours later, it was still in the 13-source pool but no longer grounding visible text. We looked three times that morning, and the overview had regenerated each time.

I include it because it cuts both ways. Authority was not the gate. Stability was never there. The case study has the timeline.

Example 4: named only by people who already knew the name

In July 2026 we tested Zakro, a factory-operations platform for Indian manufacturers, on 10 buyer prompts in Perplexity, fresh thread each time.

Zakro appeared in 2 of 10. Both were brand-name queries, "Zakro factory operations software" and "Zakro vs Tally".

Across the 8 prompts that described the actual problem, GST billing, warehouse tracking, collections, Zakro appeared zero times. TallyPrime, Zoho Books, VasyERP and MargBooks did.

The proof points existed on Zakro's own site. They were not in the places Perplexity pulls from for category questions: comparisons, review platforms, community threads. The Zakro baseline lists all ten prompts.

Geo marketing examples that are really bets on page type

The geo marketing examples people ask me for usually come down to one question: which page gets cited.

On 28 August 2026 we ran 40 buying-intent prompts across 8 B2B SaaS categories, once in a fresh ChatGPT temporary chat and once as a Google search, and classified all 490 cited URLs. We sell this work, so treat it as vendor research and check the raw data, which is published with the study.

Comparison and alternatives pages took 56.7% of citations on head-to-head questions. Pricing pages took 53.4% on cost questions. Product pages took 37.7% of ChatGPT's citations.

That is a narrower claim than "publish comparison content". It says the page type has to match the question type, and a pricing page will not rescue you on a "best X" query.

You can see how we read a set like this on the case studies page.

Aeo examples: the unglamorous technical ones

The aeo examples worth copying are mostly plumbing, and they are documented rather than inferred.

Olivier de Segonzac, writing in Search Engine Land on 17 August 2026, reports that ChatGPT's crawler does not execute JavaScript, so client-side content is invisible to it. Pages over 4 MB are not truncated, they are rejected with an HTTP 400. In instant mode the snippet is roughly 200 characters built around your H1.

OpenAI's Publishers and Developers FAQ says any public site can appear in ChatGPT search, and to make sure you are not blocking OAI-SearchBot. GPTBot is the separate training crawler. Referral clicks arrive with utm_source=chatgpt.com, which is how you find them in analytics.

Perplexity's documentation says PerplexityBot exists to surface and link sites in Perplexity results, so blocking it keeps you out. Perplexity-User, the fetcher that runs when a person asks for a page, generally ignores robots.txt.

None of this is new SEO. It is the floor you have to be standing on before any of the examples above can happen.

What these examples do not prove

No fixed ranking exists in ChatGPT, and nobody can guarantee placement in an AI answer. Two studies make that concrete.

SparkToro's research, published by Rand Fishkin on 28 January 2026 from 600 volunteers and 2,961 runs, found there is less than a 1 in 100 chance that two responses list the same brands.

RESONEO's July 2026 analysis of 1,249 ChatGPT answers with retrieval found that 1 in 3 retrieved URLs sit on Google's first page against 1 in 20 on Bing's. Pages the model actually opened were cited 74% of the time. Pages it merely retrieved were cited 7% of the time. Opening is rare.

Read those two together and my five examples are snapshots, not rates. What they show is which lever moved, not how often it will move again.

If you want your own version of this, that is what the AI visibility audit is: your questions, multiple runs, every cited URL logged.

One question for you

Pick the question your best customer typed before they found you, run it three times in a fresh chat, and log the URLs the engine cited: how many of them do you control?

Sources

Frequently asked

What counts as a real GEO example?

A prompt written the way a buyer would write it, the engine and mode it ran on, the date, the brands named, and the URLs cited. If a page gives you a percentage without those five things, you cannot check it and neither can I.

Are aeo examples different from geo examples?

In practice they overlap almost completely. Answer engine optimization usually describes the technical and formatting side, crawlability, snippet structure, direct answers, while GEO describes the whole effort to be named. The tactics are the same tactics.

How many runs do I need before a result means anything?

More than one, and more than one phrasing. My Chennai test showed 4 wins out of 18, all from a single wording. Five runs of the MSP prompt produced three different shortlists. Measure across runs and phrasings or you are measuring noise.

Can an agency guarantee that ChatGPT will recommend us?

No. Anyone offering that is selling you a screenshot. Ask which mode the screenshot was taken in, and how many runs sit behind it.

Do we need strong backlinks first?

Not necessarily to be retrieved. Our new domain reached an AI Overview source pool with 7 referring domains. Whether you stay there is a different question, and in that test we did not.

Written by

Lourdes Paul Agilan, founder of GeoCited

Founder, GeoCited

Lourdes Paul Agilan runs GeoCited, a generative engine optimization agency. He works with B2B companies on how AI assistants describe and recommend them. He writes about that work here, and shares the experiments behind it. The tests that worked, and the tests that did not, written up the same way.

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