How to Get Your Product Named by ChatGPT, Claude and Perplexity

Someone is looking for exactly what you built. In 2020 they typed it into Google and worked down the page. In 2026 there is a decent chance they opened ChatGPT and asked "what's the best tool for X?" — and then took the three names it gave them and went straight to those sites.

If your product was not one of the three, you did not lose on price, or features, or design. You lost before the comparison started, and nothing in your analytics will tell you it happened. There is no referrer, no impression, no rank drop. The customer simply never arrived.

This is the part of search that most founders have not caught up with yet. It is worth understanding, because the fix is more tractable than it sounds — and because the window where this is still uncontested is closing.

Ranking on Google and getting named by an assistant are two different things

The instinct is to assume these track each other. Get to page one, get named by ChatGPT. It does not work that way, and the gap is bigger than most people expect.

A language model answering "best X for Y" is not reading the current search results page. It is drawing on what it absorbed in training, on whatever its retrieval layer pulls in live, and on the shape of the wider web — how often a name appears alongside a category, in what kind of writing, on how many independent sites. You can hold position two for your main keyword and still be invisible in that answer, because the pages ranking you are your own pages, and the assistant is looking for what other people said about you.

The reverse happens too. Small products with no meaningful Google presence get named constantly, because they turned up in a comparison post, a Reddit thread, three roundups and a directory listing, and that was enough to associate the name with the category.

So the question "where do I rank?" and the question "does an assistant name me?" need answering separately. Most teams only ever ask the first one.

What actually gets you cited

Across the four assistants that matter — ChatGPT, Claude, Perplexity and Gemini — the same handful of things move the needle.

Comparison and alternatives pages. These are the single most-cited page type in this category, and it is not close. When someone asks an assistant to compare two tools, it needs a page that already did the comparing. If a competitor wrote "X vs Y" and you did not, they get to frame the answer that includes you.

Answering the exact question on the page. Assistants extract answers, they do not infer them. A page that says "pricing starts at $29/month with every feature included" gets quoted. A page that says "flexible plans for teams of every size" gets skipped, because there is nothing in it to lift.

Being named somewhere that is not your own site. This is the one founders under-rate most. Your homepage saying you are the best is worth very little; a directory listing, a roundup, a comparison post or a forum thread naming you is worth a great deal, because it is independent corroboration that your name belongs in that category. Getting listed in a few product directories is unglamorous and genuinely effective here.

Structure a machine can parse. Clear H2s phrased as questions, short answer paragraphs directly beneath them, real tables for real comparisons, and an FAQ block at the end. None of this is new SEO advice — it is the same technical hygiene that helps you get found on Google — but it matters more when the reader is a machine deciding what to quote.

Recency. A post dated three years ago rarely makes it into an answer about the current best option. Updating and re-dating a good page is one of the cheapest wins available.

The hard part is finding out where you stand

Everything above is actionable. The problem is knowing which of it applies to you, and you cannot answer that by guessing.

You can start manually, and you probably should for an afternoon. Write down the twenty questions a buyer would realistically ask before choosing something like your product. Not your keywords — the actual sentences: "what's the best appointment scheduler for a small dental practice?", "cheapest alternative to Typeform for surveys". Then ask each one in ChatGPT, Claude and Perplexity, and write down every brand named.

That exercise is genuinely clarifying, and after about forty minutes it also becomes obviously unsustainable. Four engines give four different answers. The same prompt asked next week gives a different answer again. You need to know not just who got named, but whether the page you rewrote changed anything — and answers take three to four weeks to move, so a single re-check tells you nothing. This is a tracking problem, and tracking problems want a tool.

Beseen: the prompts you lose, and the page that wins them back

Beseen was built for exactly this gap, and it is the most direct answer we have seen to it. You give it a domain and nothing else. It works out who your competitors are, which keywords you already rank for, and which prompts your buyers are actually asking — then runs those prompts against ChatGPT, Claude, Perplexity and Gemini on whatever cadence you set, logging which brands get named each time and whether you are one of them.

What makes it more than a monitoring dashboard is the second half. Most tools in this space hand you a visibility score and leave the interpretation to you. Beseen hands you the fix attached to each gap. A page already sitting in positions 4 to 15 gets a rewritten title, intro and H2 structure aimed at the prompts it is losing. Something further back at 16 to 50 gets new sections. A prompt with no page behind it at all gets a full article drafted. It also names the comparison and alternatives pages you are missing — the page type that gets cited most — and writes those too.

Notably, it does not touch your site. You get the copy and a prompt you can paste into your own coding agent, and you decide what ships. For anyone who has been burned by a tool auto-publishing to their domain, that distinction matters.

The re-check is the part that justifies the subscription. Every run compares back to your first check, so you can see which specific page moved which specific prompt, and which rewrite did nothing at all. Citations are re-checked as often as you ask; Google positions come round on rotation, roughly once a fortnight. Given that answers take weeks to shift, that trend line is the only honest way to tell whether the work is working.

There is a free report with no account and no card, which is the sensible way to start — run it once and you will know within a few minutes whether you have a problem worth solving. Paid plans start at $29 a month, and every feature is in every plan; what you choose is coverage, meaning how many sites, how many prompts, which assistants, and how often.

Best for: founders and small marketing teams who want to know which AI prompts send buyers to a competitor, and want the rewrite rather than a score.

What to do first

If you only do three things this quarter, do these.

Run one check and get the actual list — the prompts where a competitor is named and you are not. Everything else is guesswork until that list exists.

Write the comparison page you are missing. Pick the competitor an assistant names most often instead of you and write an honest "you vs them" page. Honest is the operative word: assistants quote pages that acknowledge trade-offs far more readily than pages that claim to win everything.

Get named somewhere that is not your own domain. Directory listings, a roundup, a genuinely useful forum answer. If you have shipped something recently, launching it here gets you a permanent, indexed page with a followed link — which is precisely the kind of independent mention this whole mechanism runs on.

Then wait three or four weeks before judging any of it, and re-check the same prompts. That last step is the one everybody skips, and it is the only one that tells you the truth.

Frequently Asked Questions

Is AI search optimisation different from SEO? It overlaps but does not duplicate. Clean structure, fast pages and real content help both. The difference is what gets rewarded: Google ranks pages, while an assistant assembles an answer and picks which names to include. That makes third-party mentions and comparison content disproportionately valuable for AI visibility.

How long does it take to change what an assistant says? Roughly three to four weeks after you publish a change, in most cases. Judging a rewrite after seven days will mislead you in both directions.

Do I need a tool, or can I check manually? Check manually first — it takes under an hour and tells you whether you have a problem. Once you are tracking more than a handful of prompts across several engines and want to prove a fix landed, manual checking stops working, and something like Beseen does the job properly.

Which assistant matters most? ChatGPT has the volume, Perplexity shows its sources on screen so it is the easiest to learn from, Gemini sits closest to Google, and Claude often produces a different winner entirely. Check all of them — the answers diverge more than people assume.