Glotier tells you whether ChatGPT, Gemini and Perplexity name your product when buyers ask what to use in your category. It puts your buyers' real questions to all three as live web queries, records whether you were named and by which of them, which competitors were named instead, and which pages each answer was built from.

How does Glotier check AI visibility?

It runs one live web search per question. ChatGPT and Gemini read the identical results, and Perplexity runs its own retrieval because it does not accept results handed to it. Whether your product is named is decided by a literal presence check on the answer text rather than by asking a model for its opinion, so the number cannot be inflated by a model being agreeable. You can also connect your own ChatGPT or Claude key and have the questions run through your account instead.

Why ask three assistants instead of one?

Because they disagree. In our own study, across the 39 of 40 buying questions where all three answered, all three named the same product only 30% of the time and 47% of products were named by exactly one assistant. Checking a single assistant shows you 58% to 65% of the products named across the three, so a founder who checks ChatGPT, sees their name and relaxes has measured one engine on one phrasing.

Is Glotier free to use?

The check is free with no signup. Paid plans start at $39/month (Solo), $99 (Studio) and $249 (Agency), and cover weekly tracking and the content the agent writes.

Does Glotier make up data about my product?

No. Every result comes from observed data: the live search results, the answers the assistants actually returned, and the sources they cited. It does not invent metrics, ratings or engine claims, and when a measurement has not run it says so rather than printing a zero.

Anyone selling something buyers research before choosing, where the category has enough alternatives that an assistant has to pick a shortlist: software, tools, e-commerce, and services. Founders, marketers and agencies all use it, and the work is the same at any size. It is not useful for local or in-person businesses, where maps and reviews decide the outcome instead.

What is the difference between AEO, GEO and SEO?

They describe one pipeline at three moments. SEO makes a page rank so it can be retrieved. GEO, generative engine optimization, gets that page cited as one of the sources an assistant builds its answer from. AEO gets you named as the answer itself. You cannot be the answer without being cited, and you cannot be cited without being retrievable, so they depend on each other rather than compete.

How do I measure AEO?

Put the real buying questions in your category to the assistants on a schedule and record two things: whether you were named, and which pages the answer cited. Re-run the same questions over time, because the sources are reassembled on every ask. A single screenshot is a mood, not a measurement, and a tool that shows a named-or-not result with no sources cannot be acted on or checked.

Guide

Answer engine optimization: being the answer, not just a link

By Oğuzhan Tüsen @oguzhanglotierPublished 2 August 2026Figures last checked 26 July 2026

Answer engine optimization is the work of being the answer an assistant gives, not just a blue link it might show. It overlaps with GEO and with classic SEO far more than three separate names suggest. Here is what each one means, the one thing that actually moves the answer, and the numbers we publish on ourselves to show the mechanism is real.

What answer engine optimization is

An answer engine is any tool that replies to a question with a written answer instead of a page of links: ChatGPT, Gemini, Perplexity, Google’s AI surfaces. Answer engine optimization, AEO, is the work of being named inside that answer when someone asks a question your product answers. The unit is not a ranked position. It is a sentence, and whether your name is in it.

That is a different target from the one SEO aims at, and it is measured differently. A rank tracker tells you where your page sits for a keyword. AEO asks a blunter question: when the assistant writes the answer, are you in it, and which pages did it read to decide.

AEO, GEO and SEO, and how they overlap

The three names describe one pipeline, not three industries. It helps to separate them by the moment each one is about.

AEO, being the answer

The assistant names you as the recommendation. This is the outcome everyone actually wants, and it is downstream of the other two.

GEO, being cited in the answer

Generative engine optimization is getting your page into the set of sources the answer is built from. You cannot be the answer without first being one of its sources.

SEO, being retrievable

The assistant runs a live search and reads what ranks. If nothing of yours ranks for the terms it searches, nothing of yours is retrieved, and the other two are moot.

So they nest. SEO gets you retrieved, GEO gets you cited, AEO gets you named. A page that treats them as rival strategies is optimizing one link in a chain and ignoring the two it hangs from.

What actually moves AEO

Being in the sources the answer retrieves. Almost all naming in a live-search answer comes from pages the assistant pulled at question time, not from the model recalling your brand, so the lever is the source set, not the model.

And that source set is not fixed. Across 20 questions we re-asked between 20 July 2026 and 31 July 2026, only 40.9% of the domains retrieved on a question’s first day were still retrieved on its last. That is retrieval churn, not citation churn, and the two are different, but the lesson holds: an answer is reassembled every time it is asked, so AEO is something you hold, not something you win once.

Which pages get retrieved is the part worth studying. When we read 18 buying answers in full in our own measurement, the sources were mostly community pages, not vendor marketing: Reddit alone was cited in 12 of them. Being the answer usually means being discussed on the pages the answer reads, not only publishing a better page of your own.

What Glotier measures

Glotier asks ChatGPT, Gemini and Perplexity the real buying questions in your category, on one shared live web search per question, and records two things: whether you were named, and every source the answer was built from. That is AEO and GEO in one measurement, the named result and the sources behind it, tracked week over week rather than screenshotted once.

It does not touch the model, because there is nothing to touch. What it hands you is the scoreboard and the source list, which is the only part you can actually act on.

The proof AI already answers with real pages

The mechanism is easy to assert, so here is the part you can check, measured on ourselves. Between 23 July 2026 and 29 July 2026, assistants referred 6 real human visitors to us (3 from ChatGPT, 2 from Bing, 1 from Perplexity), counted by a browser beacon no bot triggers. 5 of the 6 landed on our original-measurement pages rather than a page that sells.

And the number that does not flatter us, because a page that only flatters is not proof. Put to the same buying questions in our own category, assistants named us 0 of 78 times, and 0 of the visitors they did send landed on a page built to sell. We publish both zeros on our own dashboard next to every other number. AEO you cannot point back at its own maker is a slogan, not a measurement.

Get Glotier Solo

Being the answer is not a thing you win once, because the answer is reassembled every time it is asked. The free check shows whether the assistants name you today and every source behind the answer, and Solo re-runs it every day so you can watch it move.

The Citation Agent: which of your pages an assistant can actually cite, and the fix for each
A paragraph-quality read of your pages: what an assistant can lift whole, and where a claim is missing its source
An X agent and a Reddit agent: the live threads worth answering in your category, with a reply drafted for each
A daily check, and an article written from what it measured that day, ready to publish
The same buyer questions re-asked every day, with every source page behind each answer

Track 3 products and up to 150 buyer questions across ChatGPT, Gemini and Perplexity. $39/month.

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Assistant referrals measured 23 July 2026 to 29 July 2026 from our own Cloudflare beacon. Source persistence measured across 20 re-asked questions, 20 July 2026 to 31 July 2026, at domain level, which understates churn. Category sources measured 26 July 2026 against ChatGPT, Gemini and Perplexity on one shared live web search per question. Our own naming figure, 0 of 78, is from our daily category probe as of 31 July 2026. Full question sets and source lists are published in the category write-ups.