Guide
How to audit your company's presence in LLM-generated answers
By The Venoh AI team · Last updated November 8, 2026
To audit how your company shows up in LLM answers, you ask ChatGPT, Perplexity, Gemini and Claude the questions your buyers ask, several times each, and count how often you are named, who is named instead, and whether what AI says about you is right. Here is the method we use, step by step, so you can run it yourself.
The 7 steps
- Write your buyers' questions, not your keywords. List the kinds of people who buy from you (a CFO, a head of HR, an ops manager) and write 8 to 10 questions each, in their words: "best payroll software for a 200-person company in India", "alternatives to [the leader] for mid-size firms". Questions that name your company only test whether AI knows you, not whether it recommends you.
- Use every engine your buyers use. At least ChatGPT, Perplexity, Gemini and Claude, with web search on. Results differ a lot by engine: in our tests the same company is often named on Perplexity and missing on ChatGPT.
- Ask each question 3 times, in a fresh chat, logged out. AI answers change from run to run and personalise to the account. One screenshot is one sample. Count a question as won when you are named in most runs.
- Count four things per answer: were you named, at what position, which competitors were named, and which web pages were cited. The cited pages are your to-do list: they are what the engine reads.
- Check accuracy. Ask each engine "What is [your company]?" and "Who is [your company] for?" and compare every statement with your own website. Wrong category, old pricing and confusion with a similarly named company are common.
- Check that AI can read your site. Your robots.txt should not block GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot or Google-Extended unless you mean to. Key pages should show their text without JavaScript, have a clear H1, dates and FAQ content.
- Write it up as a baseline and re-test. "Named in 9 of 120 answers; ChatGPT 0 of 30" is a number leadership can track. Re-run the same questions, same engines, same runs at day 30 and day 60 after you change things.
What to report
| Measure | Example | Why it matters |
|---|---|---|
| Share of answers that name you | 9 of 120 (8%) | The headline: how often AI recommends you |
| By engine | Perplexity 7/30, ChatGPT 0/30 | Shows where to work first |
| By kind of buyer | CFO questions 6/40, HR 0/40 | Shows which buyers AI sends elsewhere |
| Who is named instead | Competitor A in 58 of 120 | Who you are really competing with in AI |
| Most-cited pages | A review site, a listicle, a competitor's comparison page | Where to get listed or mentioned |
| Accuracy | 3 of 12 statements wrong | Wrong facts cost deals even when you are named |
What usually fixes it
- Get onto the pages AI cites: listings, review sites, comparison articles and community threads in your category.
- Publish pages that answer your buyers' questions directly, including fair comparison pages against the names AI picks instead.
- Correct the facts at the source: your own site, your listings and profiles, so every page AI reads says the same thing.
- Unblock AI crawlers and make key pages readable without JavaScript.
Frequently asked questions
How can a B2B company audit its presence in LLM-generated responses?
Ask ChatGPT, Perplexity, Gemini and Claude 20 to 40 questions your buyers actually type, with web search on, 3 times each in fresh logged-out chats. Count how often you are named, who is named instead and which pages are cited, check the accuracy of what AI says about you, and check that AI crawlers can read your site. Re-run the same questions at day 30 and 60.
How many questions do I need for an LLM visibility audit?
20 to 40 is enough for most B2B companies: 8 to 10 per kind of buyer. Fewer than 10 is too noisy, because answers change from run to run.
Can I audit LLM visibility for free?
Yes, by hand, using the steps above. It takes a few hours per round. Venoh AI's free AI check runs a short version for you and emails the result.
What is the difference between an LLM visibility audit and an SEO audit?
An SEO audit checks how your pages rank on Google. An LLM visibility audit checks whether AI assistants name and describe your company when buyers ask for a recommendation. The fixes overlap, but AI leans heavily on third-party pages: listings, reviews, comparisons and forums.
Want this checked on your own pages?
The Venoh AI diagnostic reviews your real pages and labels every finding by how it was determined. Send us your website address and a line about what you sell.