Verified against ChatGPT · 2026-08-12
Audit why a page isn't getting cited in AI search overviews even though it ranks organically
Compares a page's structure and phrasing against what AI-generated search summaries tend to extract and cite, identifying specific structural or phrasing reasons it's likely being skipped rather than treating AI visibility as a black box.
The prompt
Ready to copy — highlighted parts are example details you can swap.
This page ranks reasonably well in traditional organic search but I have reason to believe it isn't being cited or pulled into AI-generated search overviews for its target query. Help me figure out specific, structural reasons why, based on what's actually on the page — not a generic list of "AI visibility best practices." PAGE CONTENT AND STRUCTURE H1: 'Guide to Business Insurance'. The relevant answer to 'how much does general liability insurance cost' is mentioned in paragraph 4 of a 'What Affects Your Premium' section, embedded mid-paragraph after two sentences of context about risk factors. TARGET QUERY how much does general liability insurance cost for a small business WHAT'S CURRENTLY BEING CITED INSTEAD (if known) A competitor's page has a clearly labeled 'Average Cost' subheading followed immediately by a specific dollar range. Analyze the page against these specific extraction-friendliness factors, and for each one state whether this page's current structure helps or hurts, with a direct quote or close paraphrase from the given content as evidence: 1. Does the page state a direct, self-contained answer to the target query within the first few sentences of a section, or does it bury the answer inside a longer narrative paragraph that requires reading several sentences of setup first? 2. Is there a clearly delimited section (a heading, a list, a table) that maps almost one-to-one onto the query, or is the relevant information scattered across multiple sections that a summarization system would have to stitch together? 3. Does the page state specific facts, numbers, or named entities plainly, or does it hedge everything in a way that makes a clean, quotable extraction hard to produce? 4. If competing citations are known, what do they do differently in the specific excerpt likely being pulled — do not guess at their overall page quality, focus only on what's extractable from the excerpt itself. Do not recommend keyword stuffing or manipulative phrasing intended to game extraction — the goal is stating things plainly and structuring them clearly, not gaming an algorithm. OUTPUT: for each of the four factors, a helps/hurts verdict with the supporting evidence, followed by two or three specific edits (not a full rewrite) that would most directly improve extraction-friendliness for this exact query.
Customize
Optional — swap in your own details for the highlighted parts above.
Why this works
Asked generically "how do I improve AI search visibility," GPT-5.1 tends to produce a checklist of best practices detached from the specific page in question — requiring it to evaluate the actual given content against four named extraction-friendliness factors, with a quote as evidence for each verdict, forces it to reason about this specific page's actual structure rather than restate generic advice that would apply equally to any page. The first factor — whether the answer is stated directly near the top of a section versus buried in narrative setup — targets the real mechanical reason summarization systems skip technically-correct content: extraction systems favor self-contained, front-loaded statements because they can be lifted cleanly without needing surrounding context to make sense, and a well-written page that builds up to its point through several sentences of context is often harder to extract from than a blunter, less elegant paragraph, even though the blunter version reads worse to a human. The instruction to compare only the specific competing excerpt rather than judge a competitor's overall page quality keeps the analysis honest and narrow — a competitor's page being cited doesn't mean the whole page is better, it means one specific excerpt was more extractable, and conflating the two would misdirect the edit recommendations toward a full competitive rewrite instead of the two or three targeted structural changes that actually matter. Explicitly banning keyword stuffing or manipulative phrasing as a recommended fix matters because the actual lesson from how extraction-friendly content performs is that stating things plainly and structuring them clearly is what helps — gaming language patterns doesn't reliably improve citation and actively degrades the page for human readers, so ruling it out keeps the recommendations aligned with what's actually earning citations rather than what merely looks like an SEO trick.
What you get back
Factor 1 (direct answer): hurts — the cost figure is mentioned mid-paragraph after two sentences about risk factors rather than stated as the section's opening claim. Factor 2 (delimited section): hurts — no subheading maps directly to 'cost,' it's folded into a broader 'What Affects Your Premium' section. Recommended edit: add a subheading literally reading 'Average Cost' immediately followed by the specific dollar range as the first sentence underneath it, mirroring the structural pattern the competing citation already uses.
Verified against
ChatGPT GPT-5.1 · 2026-08-12
Changelog
- 2026-08-12 — Initial publish, verified against ChatGPT GPT-5.1.
Building this for real?
This is a free starting point. If you'd rather have SEO built and running for your business, that's Scult's day job.
EXPLORE SEO
