AI Visibility Audit: A Closer Look
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LLM Jesus Publishes Its AI Citation Audit Method for Agencies
LLM Jesus, the AI search visibility practice run by SEO consultant Stewart Vickers, has published the method behind its citation audit so that agencies and in-house teams can run the first pass themselves before commissioning a full report. The audit answers one question: when a buyer asks ChatGPT, Gemini or Perplexity who to buy from in a category, which brands are named, and which pages do the assistants cite for that answer.
The method fixes a set of commercial prompts per category, repeats each prompt across the three assistants on separate days, and records the recommended brands and the cited domains every time. Repetition matters because a single run is noisy; the same question asked on two mornings can return a different shortlist, and only the brands and sources that recur are worth acting on. Teams then receive a scored list of the pages that keep being cited, which becomes the outreach and publishing plan.
"The surprising part for most teams is how small the set of cited sources is," said Vickers. "For a typical commercial category it is a dozen pages, not a thousand. Earning a mention on three of them changes the answer."
The practice also records which assistant cites what, because the three differ in the sources they trust. A brand that is invisible in one assistant is often already recommended by another, and the audit shows where the gap is before any budget is spent.
The published method, a sample report and the booking page for a full audit are on the LLM Jesus AI visibility audit page at https://llmjesus.com/ for anyone who wants to run the first pass on their own category this week.
About LLM Jesus: LLM Jesus is an AI search visibility practice operated by Serpply Ltd, a company registered in England. It publishes research on how large language models choose the sources they cite and helps brands become one of them.