Prioritize Structure, Authority, and Presence fixes for prompts where AI answers do not cite you.

Turn AI visibility and answer-gap evidence into a concrete remediation plan: identify why the current cited source wins, choose the right build path, and define acceptance checks for improving AI citations, mentions, and third-party presence.

An atomic marketing skill you run inside Claude, ChatGPT, Claude Code, Cursor, Codex, OpenClaw, Hermes, or any MCP client — read-only public-data research, eyes not hands. It diagnoses, prices, and drafts evidence; your own assistant and accounts take any action.

• AI visibility teams turning audits into concrete remediation work
• SEO and content teams deciding which AI-answer gaps to fix first
• Founders who need to know whether the fix is page structure, authority, or third-party presence

• Prioritized prompt-level fix plan with current owner, miss cause, build path, and acceptance check
• Structure, Authority, and Presence task groups for on-site and third-party work
• Quick-win flags where the brand ranks organically but is not cited
• Re-check plan for the same prompt set, market, and AI engine

Live public data through the shared unifapi data skill — UnifAPI APIs: geo, seo, browser. Connect once over OAuth; no scraping to maintain and no keys to rotate. Every figure in the output is cited to the record it came from.

Turn these AI visibility gaps into an AI visibility fix plan. For each high-value prompt, classify the miss as Structure, Authority, or Presence, choose the build path, and define the acceptance check.

Run it in any MCP client. Paste one prompt (Claude Code, Codex, Cursor, OpenClaw, …) to add the UnifAPI public-data MCP server at https://mcp.unifapi.com over OAuth — read-only, no API key — then add the marketing skills with npx skills add unifapi-agent/agents.

Prefer a web connector (Claude · ChatGPT · Perplexity · Grok), or the one-shot plugin for Claude-compatible hosts:

/plugin marketplace add unifapi-agent/agents
/plugin install unifapi@unifapi

Every client, step by step: https://unifapi.com/mcp

The work is broader than citations. AI visibility fixes also include answer presence, extractability, authority signals, and third-party surfaces that AI answers already cite.

No. It improves human pages so they are clearer, better cited, and easier for AI systems to extract. It avoids doorway or AI-only pages.

• Part of the AI Visibility Agent
• ai-visibility-audit — The GEO equivalent of an SEO audit — check whether you're cited in AI answers and who owns the answer instead.
• ai-answer-gap — Find the prompts you should own in AI answers but don't, name who owns each, and rank the gaps by AI search volume.
• llm-mention-tracking — Track how often you're mentioned across ChatGPT and AI search over a fixed prompt set, and how share of voice moves vs competitors.
• seo-audit — Audit crawlability, on-page, and content against live SERP and ranking evidence — not a static checklist.
• Shared data skill: unifapi

• Skill page: https://unifapi.com/skills/ai-visibility-fix-plan
• The skill itself: SKILL.md
• Install & all clients: https://unifapi.com/mcp
• Docs: https://docs.unifapi.com

_{Topics: how to get cited by ChatGPT · GEO optimization · AI visibility fixes · generative engine optimization tips · AI visibility fix plan · fix AI answer gaps · ChatGPT citation fixes · AI Overviews citation fixes}