AI Visibility Fix Plan

Turn AI visibility evidence into an execution-ready fix plan for generative engine optimization. The plan should say which prompt gaps to attack, why the current cited source wins, and whether the fix is Structure, Authority, or Presence.

This is an enhanced skill: it reads live public data through UnifAPI when needed, but it remains eyes, not hands. It does not edit pages, post on third-party sites, buy reviews, or manipulate mentions.

Use UnifAPI for live evidence

Start from ai-visibility-audit or ai-answer-gap output. Re-pull only what is stale or missing:

• Per-prompt answer and citations - geo/serp with target set to the brand domain. Confirm whether the brand is cited, merely named, or absent.
• Demand weighting - geo/keywords/search-volume so the fix plan attacks prompts people actually ask.
• Answer owners - geo/mentions/top-domains, geo/mentions/top-pages, and geo/mentions/cross-aggregated-metrics to identify the source or competitor winning the answer.
• Organic cross-read - seo/serp to identify quick wins where the brand ranks organically but is not cited in the AI answer.
• Page structure read - browser/markdown on the brand page and winning source to compare extractability: definition blocks, comparison tables, FAQ sections, cited stats, and clear headings.

Keep the run date, platform, market, prompt set, and billing metadata in the output.

Workflow