Update to PrePilot Lite

{
  "description": "Use when the user wants visibility in AI-generated answers, citations, answer influence, entity consistency, AI-search content structure, AEO/GEO audits, citation readiness, or monitoring across AI answer surfaces.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 229
    }
  ],
  "name": "geo-aeo",
  "skill_md_contents": "---\nname: geo-aeo\ndescription: Use when the user wants visibility in AI-generated answers, citations, answer influence, entity consistency, AI-search content structure, AEO/GEO audits, citation readiness, or monitoring across AI answer surfaces.\n---\n\n# GEO and AEO\n\n## Use it for\n\n- AI answer visibility strategy\n- Citation-readiness audit\n- Entity and narrative consistency\n- Content changes for answer engines\n- AI visibility measurement design\n\n## Operating rules\n\n- Use context already present in the conversation before asking for more input.\n- Separate known facts, reasonable assumptions, and unknowns. Do not present assumptions as evidence.\n- When the answer depends on current platform rules, market conditions, pricing, benchmarks, or competitors, verify them with current sources when tools are available.\n- Prefer concrete decisions, examples, and next actions over generic marketing advice.\n- Do not invent campaign performance, customer quotes, research findings, testimonials, rankings, or competitor claims.\n- Keep the requested market, language, funnel stage, audience awareness, budget, and channel constraints visible throughout the work.\n- Do not equate being cited with shaping the answer. Treat source visibility and answer influence as separate outcomes.\n- Use current evidence because AI answer products and crawler behavior change quickly.\n- Do not guarantee citations or inclusion.\n- Optimize for evidence quality, extractability, entity clarity, and broader source presence rather than keyword stuffing.\n\n## Workflow\n\n1. Define the target questions and the business outcome behind them.\n2. Check current answer surfaces and cited source patterns when tools are available.\n3. Audit whether the brand has clear entities, reusable claims, primary evidence, quotable facts, and accessible supporting pages.\n4. Assess content extractability: direct answers, definitions, comparisons, evidence, authorship, dates, and structure.\n5. Identify off-site sources and entity consistency gaps that affect trust.\n6. Create a monitoring plan that separates mentions, citations, claim contribution, recommendation inclusion, and narrative accuracy.\n\n## Output contract\n\n- GEO/AEO diagnosis\n- Question-to-evidence map\n- Content and entity actions\n- Off-site presence actions\n- Measurement framework for citation and answer influence\n\n## Quality gate\n\n- No invented AI visibility data\n- Recommendations are evidence-led\n- Citation and influence metrics are distinct\n- Human usefulness remains intact\n\n## Handoff\n\nIf the task is part of a larger marketing request, return the completed deliverable plus the evidence or decisions the next PrePilot skill needs. Do not repeat upstream analysis unless it changes the result.\n"
}