Answer · Updated September 2026
Assistants cite pages that answer the question directly, so the reliable method is: audit what ChatGPT, Claude and Perplexity currently recommend in your category, find the questions where you are absent, publish one page per question with the question as the title, then re-run the audit to see whether citations moved. Small companies routinely beat large incumbents this way, because the incumbents never wrote the page.
The honest caveat: You do not need a tool for the first pass. Open ChatGPT and Claude, ask the ten questions your buyers ask, and write down who gets named — that costs an afternoon. What an afternoon cannot give you is whether anything changed afterwards, which is the step that turns this from a gamble into a process.
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You have never checked how assistants describe you
Do the manual audit first. Ask ten buyer questions in ChatGPT and Claude, record who is cited.
You know you are absent and want to fix it fast
Write one page per question, with the question as the H1, title and URL. Add FAQ schema.
You need to know whether the pages worked
Track citations per engine over time. This is where manual auditing breaks down.
You need to justify the work commercially
Attribute revenue to the pages and posts, not just citations. Otherwise it stays a vanity metric.
When someone asks an assistant to recommend tools, services or suppliers in your category, the model assembles an answer from pages it can retrieve, parse and trust. Three properties decide whether you are in that set, and none of them is your company's size.
The page answers the question directly. A page titled with the exact question outperforms a cleverly-titled one, because retrieval is matching meaning to the query, not rewarding creativity.
The answer is extractable. A clear, self-contained response near the top gets lifted. An answer buried under 800 words of preamble often does not.
The source looks trustworthy. Balanced comparisons that acknowledge competitors get cited more than pages claiming to win at everything, because a model treats one-sided content as promotional.
That last property surprises people. Recommending a competitor for the cases where they are genuinely better makes you more likely to be cited, not less.
Write down the ten questions your buyers actually ask. Not keywords, questions: "what's the best X for Y", "how do I do Z", "what's the alternative to W". Ask each in ChatGPT, Claude, Perplexity and Google AI Mode. Record which brands get named and which URLs get cited.
The result is usually uncomfortable and useful. Most companies discover they are absent from the majority of the questions they assumed they owned, and that the cited sources are often small competitors or third-party listicles rather than category leaders.
Two patterns matter: questions where a competitor is consistently named and you are not, and questions where the cited source is a third party rather than any vendor. The second is the easier win, because nobody has claimed it.
The title, the H1 and the URL slug should all be the question. Put a direct two-to-three sentence answer immediately under the heading so it can be lifted whole. Include a comparison table if the question implies choosing. Add an FAQ section with the adjacent questions, marked up as FAQPage structured data. Name competitors honestly and recommend them where they are better.
This page is an example of the format.
Valid Article and FAQPage structured data, a clean heading hierarchy, and an llms.txt describing your product in plain terms. Confirm AI crawlers are not blocked in robots.txt: GPTBot, ClaudeBot, PerplexityBot and Google-Extended are the ones that matter. Blocking them is the single most common self-inflicted wound in this whole area.
This is the step almost everyone skips, and it is the one that turns the exercise from a gamble into a process. Re-run the same questions on a schedule and track whether you are now cited, in which engines, and for which queries. Then connect it to outcomes: did the sessions arriving from AI referrals convert.
Without measurement you publish and hope. People do write five pages in a day, publish, and genuinely have no idea afterwards whether it worked, which means they cannot tell which of the five to write more of.
Social distribution does not directly make an assistant recommend you. What it does is accelerate discovery and linking of the pages that do. A post that drives a developer to your comparison page, who then links it, is doing GEO work indirectly.
The practical consequence: your social calendar and your visibility gaps should be the same list. If you are invisible for a question your buyers ask, that question is also the best thing to post about. Most teams keep those in separate tools and never join them up.
Faster than traditional SEO. Assistants re-crawl and re-rank continuously, and citation sets shift within weeks rather than months. A well-built page targeting an unclaimed question can start appearing in a few weeks. Contested questions where large brands are entrenched take longer and may need genuinely better content rather than merely present content.
You can run the whole loop by hand: ask the questions quarterly, keep a spreadsheet of who is cited, write pages, re-check. For a small category with ten questions this is entirely reasonable and costs an afternoon each quarter.
It stops scaling when the question set grows past what you will genuinely re-check by hand, when you need coverage across several engines and countries, or when someone asks what revenue the work produced. That is when continuous tracking and attribution earn their cost. Reaudit tracks these engines continuously and joins the result to publishing and revenue, and Broadcast turns the gaps it finds into a social queue, but the method above works regardless of whether you use it.
The adjacent questions people ask, answered directly.
Find the questions buyers ask where ChatGPT currently names competitors instead of you, then publish a page per question with the question as the title and a direct answer near the top. Add FAQPage structured data, make sure GPTBot is not blocked in robots.txt, and re-check after a few weeks to see whether the citation appeared.
One subscription from €50/month: AI visibility tracking, content generation, publishing to 15 platforms, and revenue attributed to each post. Every plan covers ChatGPT, Perplexity and Google’s AI Overview, AI Mode and Gemini, with more engines available as an add-on.