Fan-out Audit
See the searches an AI runs before it answers
One question to an AI engine becomes many searches behind the scenes. The Fan-out Audit captures those sub-queries - real ones from Gemini and ChatGPT, related-question proxies from Perplexity and Google - and shows what gets cited back.
Run a fan-out scanIncluded on a paid plan. No credit card to start an account.
What it checks
One question in. Everything below is what the engines actually ran.
Typed into the engine
What stout do Dubliners actually drink
- Most popular stout in Dublin
- What stout do people drink in Dublin
- Dubliner's favorite stout
- Guinness popularity in Dublin
- Craft stout Dublin
- What stout do Dubliners drink
- What stout do Dubliners actually drinkOne search - it ran the question unchanged
- Do Dubliners prefer Guinness over Beamish or Murphy's?
- Which Dublin pubs pour the best pint of stout? Clustered as Stout Serving & Experience
- What makes a perfect pint of Guinness in Dublin? Clustered as Stout Serving & Experience
- Is Guinness really the most popular stout in Dublin?
- Are there local stouts Dubliners drink besides Guinness?
- What beer do the Irish really drink?
- Do Irish actually drink Guinness?
- What stout is better than Guinness?
- What stout do Dubliners actually drink reddit
- Traditional Irish beer brands
- Killian's Irish beer… and 6 more
Who gets cited
Every source the engines reached for on this one question, ranked by how often it comes back.
- reddit.com8
- dublin-spirit.com6
- weirdodublinpubs.com4
- gearjunkie.com2
- theroyaltourblog.com2
- Plus 23 more domains
What the questions are about
Every sub-query is clustered into a theme, so 24 rows read as a handful of subjects rather than a list.
- Dubliner's Stout Preferences & Popularity15
- Best Irish Stouts & Recommendations6
- Stout Serving & Experience2
- Guinness vs. Other Major Stouts1
Nine of the 24 landed outside the theme the question was asked in. Those are the subjects the engines went looking for that nobody typed.
Solid lines are the real thing. Gemini and ChatGPT report the searches they actually ran, captured through the providers' APIs - API-side behaviour, close to but not identical to the consumer apps. Dashed lines are a stand-in. Perplexity and Google don't expose their fan-out, so the audit records the related questions they surface instead. The report never blurs the two.
Not a mock-up. Every question, domain, count and cluster name above is read from the scan embedded further down this page, run 25 August 2026: 3 seed questions, 67 sub-queries, 135 citations, four platforms, all four completed. Single-shot, point in time. Sub-queries come from Gemini's search grounding and OpenAI's web-search tool; the proxies come from Perplexity's related questions and Google's People Also Ask plus related searches. Clustering and the summary are model-generated.
What you'll get
See what the engines ask before they answer
Run a fan-out scanFan-out Audit
Capture the sub-queries AI engines run behind a single question, and the sources they cite back - true fan-out from Gemini and ChatGPT, related-question proxies from Perplexity and Google.
