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See all servicesI map the query fan-out cluster around your 5 priority pages, the related sub-questions ChatGPT, Google AI Overviews, Gemini, and Perplexity run behind a search, and hand back exactly what's missing. Flat fee, no retainer, done in about a week.
A Fan-Out Audit maps the cluster of related sub-questions AI engines run behind up to 5 of your priority pages, then shows you exactly which ones your site already answers, which are missing, and which a competitor currently wins. It's the diagnostic step before deciding what to fix.
Here's the part that trips people up: AI search engines don't just check whether you rank for one keyword anymore. Google has confirmed this directly, its systems run a batch of related searches behind the scenes, called query fan-out, before writing a single answer. The sources that get cited are the ones that show up across that whole cluster, which aren't always the ones ranking first for the head term.
So a page can rank reasonably well and still never get cited, because it only answers the headline question and misses the cost question, the comparison question, the specific-condition question sitting right behind it. That gap is invisible from the outside. You'd need to know what the AI is asking to see it.
These are the patterns that keep a well-built page from getting cited, and none of them show up if you're only checking whether a page ranks.
It covers the main service, and nothing else. No cost question, no comparison question, no condition-specific follow-up. An AI engine running fan-out behind that search checks all of those, and a page that only answers one of them is only in the running for a fraction of the cluster.
Not the head term, a specific follow-up question. It's invisible unless you know to check for it, which is the entire reason a normal audit misses this and a fan-out audit doesn't.
A new page starts at zero on every sub-question in the cluster simultaneously. An existing page with some authority only needs one well-placed section to close a gap. Knowing which is which changes whether the fix is "add a section" or "this needs its own page."
FAQ schema built around guesses instead of the real sub-questions an AI engine runs. Technically present, functionally useless for the gaps that matter.
Most content planning still optimizes for one target keyword. Fan-out means the real target is a cluster of related questions, and without mapping it, every content decision is a guess.
This is my actual internal SOP, not a marketing summary of it. Here's exactly what happens to each of your 5 priority pages.
Already indexed, some existing ranking history, tied to a real service. A page with no history yet has nothing for the tool to map against, so I flag it and swap in your next-priority page before doing any billable work.
The related searches an AI engine runs behind your target keyword, before it writes an answer, mapped against what your page currently covers.
What's already strong, which clusters are weak or missing entirely, priority opportunities ranked by impact, and whether each gap is better solved by updating the existing page or building a new one.
Does it deserve its own page or belong on the existing one? Can I add something original, real data, your point of view, not filler? Gaps that fail either test get dropped instead of padding the report.
Prioritized, plain language, no jargon. You'll know exactly what's missing, why it matters, and what order to fix it in, whether you have me do the work or hand it to someone else.
Baseline citation status logged for each page before anything changes, plus one 2-week recheck across ChatGPT, Google AI Overviews, Gemini, and Perplexity so you know if the gaps that got closed moved anything.
Google has been the most explicit about this mechanism publicly, but the underlying pattern shows up across every major platform, just with different emphasis on what gets pulled in.
Google has confirmed the technique runs across AI Overviews, AI Mode, and Deep Search, expanding a search into related subtopics before compiling an answer. If a page only covers the head term, it's competing for a fraction of what Google is checking.
When a prompt needs information beyond what the model already knows, Gemini can generate additional search queries automatically, the same underlying logic, just less publicly documented.
Both issue multiple related searches when a prompt needs current or specific information, then compile a single answer from whichever sources covered the most ground. Different implementation, same practical effect: one page answering one question is competing against pages answering the whole cluster.
The reason a fan-out audit moves visibility across all four at once is that they're all drawing on some version of the same mechanism. Closing a real gap in the cluster helps regardless of which platform someone happens to ask.
I priced this to be an easy yes. It's a real, scoped diagnostic, not a vague strategy engagement.
Fan-Out Audit
The full process above, run against your 5 priority pages, delivered in about a week from the day your pages are confirmed. One invoice, no contract, no monthly anything.
Not sure whether you need this or something bigger? Send the form anyway. I'll check your pages and tell you straight, and if a free Answer Visible Check is the better starting point I'll say so.
Being upfront about scope saves everybody a call.
| Option | Starting at | Best for |
|---|---|---|
| Fan-Out Audit | $500 | You have pages that rank but aren't cited. Up to 5 pages, a gap map, and a roadmap. |
| Profile Fix | $500 | Your profile exists but it's incomplete. One location, one cleanup, done. |
| AI Search Websites | $5,000 | You need a new website, or you don't have one yet. A custom website built for AI search, with tracking, reports, and your first year of care included. |
It maps the query fan-out cluster around up to 5 of your priority pages, the related sub-questions ChatGPT, Google AI Overviews, Gemini, and Perplexity run behind a search before answering. You get a written gap map showing what each page already answers, what it's missing, and a prioritized roadmap for closing the gaps. Read what query fan-out is if you want the full mechanism first.
Flat $500 for up to 5 priority pages. No monthly retainer, no contract. If you move up to an AI Search Website build within 60 days, $250 of that applies as credit.
You tell me your 3-5 highest-priority pages or services at intake. I check each one against my candidate criteria, already indexed, some ranking history, tied to a real service, before running anything. A page that doesn't qualify yet gets flagged and swapped for your next priority, before you're charged.
No. This is a focused, page-level diagnostic. The Growth Plan covers the whole site, Google Business Profile, schema, entity signals, and content gaps across every page, not just the ones submitted for a Fan-Out Audit.
Yes. I'm based in St. Petersburg and I know this market best, but this work is done remotely and I take clients anywhere in the US.
The same person who scopes it. No account managers, no handoffs, nothing sent offshore. You can read more about how I work.
If you don't know whether you're showing up in AI search at all, run the free Visibility Check first. If you already know something's off and want to know exactly what, the Fan-Out Audit is the faster path.