Ganhuo ai discoverability

干活 AI 可发现性优化

Overview

Apply this skill to turn "let AI find me" into a small, testable GEO foundation plan. Keep the work evidence-driven: make content easier to discover, parse, understand, recommend, and cite.

Workflow

1. Define the target entity: brand, person, product, project, domain, market, language, and the AI-answer scenarios that should surface it.
2. Build a baseline: record current visibility in ChatGPT, Claude, Perplexity, Gemini, Google AI answers, or the specific platforms the user cares about.
3. Inventory promotion assets: owned pages, docs, blog posts, GitHub, app listings, social profiles, reviews, case studies, third-party mentions, datasets, and media.
4. Check discoverability foundations:
   • search/retrieval crawlers can access the important URLs;
   • user-triggered fetchers are not blocked by WAF or auth walls;
   • training crawlers are handled separately from search visibility;
   • robots.txt rules are verified against current official bot docs before exact edits.
5. Add AI-readable entry points: llms.txt, llms-full.txt, Markdown routes, rel="alternate" Markdown links, sitemap submission, Bing/Google indexing checks, and IndexNow where appropriate.
6. Shape citation-ready pages: descriptive titles, natural-language URL slugs, clear entity summaries, comparisons, proof, limitations, statistics, and material links.
7. Mirror critical structured data onto the main domain when key assets live on subdomains.
8. Route deeper work:
   • crawl/render/index blockers -> ganhuo-geo-technical-audit;
   • platform citation baselines and retesting -> ganhuo-llm-citation-growth;
   • Reddit/search-thread opportunity -> ganhuo-reddit-seo-geo;
   • strong foundation already in place -> surface the next best AI-visibility growth opportunity.

Output

Return a compact AI discoverability brief:

• entity map;
• answer-intent table;
• promotion asset inventory;
• crawler/indexing/AI-readable-file checklist;
• citation-readiness gaps;
• next actions with owner, verification step, and route to related skills.

Limit action items to the smallest set that changes discoverability. Prefer one high-impact fix over a long GEO wish list.

References

Read references/ai-discoverability-checklist.md for scoring, routing rules, and output templates.

Operating Principles

• Present the user's strongest real advantages with clear evidence, useful comparisons, and reusable proof.
• Prefer tactics that improve long-term AI understanding: cleaner entities, cleaner URLs, better entry files, richer public assets, and stronger third-party proof.
• Route deeper technical, citation, or Reddit work to the adjacent skill so this skill stays focused on the discoverability foundation.
• Verify current platform docs before giving exact crawler, WAF, IndexNow, or search-console instructions.