AI Answer Gap

Turn observed AI-answer gaps into a prioritized research and content backlog. Use an existing ai-visibility-audit or collect a dated panel first. Read available product context so proposed topics match what the product can credibly help with.

Use UnifAPI for live evidence

Connect with the unifapi skill to discover current schemas, prices and authentication before collecting data.

Workflow

1. Select relevant prompts. Group them by use case and search intent. /geo/keywords/search-volume supplies optional demand estimates; an absent estimate is unknown, not evidence that a useful niche prompt has no value.
2. Check current answers. Use /geo/answers for ChatGPT/Gemini, /geo/serp for Google AI Mode, and /seo/serp with include_ai_overview for Google Search AI Overviews. Keep engines, markets and natural/forced-search settings separate. Preserve exact answers and cited source URLs.
3. Describe the observed gap. Distinguish no answer, unsuccessful collection, brand absent from this answer, name-only mention, and cited brand. A sample is not proof of universal absence. Inspect references; top-level is_target and unused search results do not by themselves establish a citation.
4. Research sources. Open the actual cited pages. /geo/mentions/top-pages, /top-domains, and /search add separate indexed-corpus context. They do not supply the winning URL for a particular live prompt. /cross-aggregated-metrics gives group counts, not ownership of your prompt-panel gaps.
5. Propose a response. Identify the missing information, evidence or third-party representation. Choose an existing-page update, a new useful page, or an external research lead. Each proposed change needs a concrete source and a plausible benefit to readers. Name-only mentions and existing organic rankings are clues, not proof that formatting is the cause.
6. Prioritize. Consider product relevance, evidence of demand, gap quality, available expertise, and effort. Show the inputs and uncertainty. Optional scoring is a planning aid, not a predicted citation lift.
7. Validate later. Use the same panel and multiple dated runs after changes. Compare paired successful samples, show completion/answer rates, and avoid attributing every change to the edit.

Output