
Buyers increasingly ask an AI assistant "what is the best tool for X?" before they ever open a search results page. If ChatGPT, Gemini or Claude does not name you in that answer, you are not in the shortlist — and unlike a Google ranking, nothing tells you so. We built that measurement into our own product, pointed it at ourselves, and got an uncomfortable number: 0% presence on neutral category questions. Here is the method, the raw results, and what actually moves the number.
Classic SEO optimises for a page of ten blue links where being #7 still earns clicks. An AI assistant does not return ten options — it usually names two to five, in a sentence or a short list. Position four on Google is a bad day; position four in an AI answer often means you simply are not mentioned.
The second difference is attribution. AI answers are assembled from sources the engine trusts — documentation, comparison articles, directories, forums, review sites — and then paraphrased. You can be excellent and still be invisible, because the engine never encountered a source that described you in the context of the question being asked.
That is what "generative engine optimization" (GEO) means in practice: making sure the sources an engine reads contain a clear, checkable description of what you do, for the questions your buyers actually ask.
The measurement is simple to describe and easy to get wrong. You ask each engine a fixed set of buyer questions, then count how often a company is named. Four details separate a real number from a flattering one:
We ran 18 buyer questions across three engines. The split between branded and category questions is where the story is:
| Question type | Answers | Times ClientCues was named | |
|---|---|---|---|
| Branded ("ClientCues alternatives", "ClientCues vs Crayon") | 6 | 100% | |
| Neutral category ("best competitive intelligence software") | 30 | 0% |
Had we reported a blended number, we could have honestly written "17% AI visibility" and felt fine about it. Split apart, the blended number is meaningless: we win the questions that already contain our name, and lose every question a new buyer would actually ask.
The competitive picture on those same category questions:
| Company | Named in category answers | Named first | |
|---|---|---|---|
| Klue | 70% | 19 times | |
| Kompyte | 50% | 1 time | |
| Competeshark | 7% | 2 times | |
| Competera | 3% | 0 times | |
| ClientCues | 0% | 0 times |
Klue is not winning because its product is ten times better. It is winning because years of review-site presence, comparison articles and directory listings taught the engines that "Klue" is an answer to "competitive intelligence software". That is a content and citation gap — and unlike a product gap, it is closable by writing and being listed.
You do not need a tool for a first reading. You need a method you can repeat.
Two things decide whether an engine names you: whether trusted sources describe you in the language of the question, and whether your own pages are structured enough to extract cleanly.
AI answers are non-deterministic. Ask the same question twice and different companies may be named — which is exactly why one check tells you little and a tracked trend tells you a lot.
Engines also differ sharply. In our own runs, coverage varied by engine for the same question set, so treat any cross-engine average as a rough composite rather than a precise score.
And visibility is not the goal in itself. Being named only matters if the buyer reading the answer fits your product: 40% presence in the wrong category is worth less than 10% in the right one.
How do I know if ChatGPT recommends my product? Ask it the buying questions in your category — without your brand name — in a fresh chat with search enabled, and record whether you are named and which sources it cites. Repeat monthly, because answers vary between runs. ClientCues automates the same loop across ChatGPT, Gemini and Claude and tracks the trend.
What is generative engine optimization (GEO)? GEO is the practice of getting your product accurately represented in AI-generated answers: being described in the sources engines read, answering buyer questions directly on your own pages, and marking those answers up so they can be extracted. It complements SEO rather than replacing it.
Why does my brand appear when I ask about my own company but nowhere else? Because a question containing your name retrieves pages about you. Neutral category questions retrieve pages about the category — and if none of those describe you, you will not appear. That gap is the number worth fixing.
How long does it take to improve AI visibility? Weeks, not days. Publishing a comparison page or earning a directory listing today typically shows up in answers over the following weeks, as sources are re-crawled. Measure monthly and judge the trend.
Does traditional SEO still matter? Yes. The pages engines cite are usually pages that also rank, and Google's own AI summaries draw on its index. GEO is an additional lens on the same content, not a replacement for it.
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