Optimize content for AI citations in ChatGPT, Perplexity, AI Overviews, Gemini, Claude. AI引用优化/GEO优化/AI搜索
SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This build skill follows the shared Skill Contract and State Model.
This skill optimizes content to appear in AI-generated responses. As AI systems increasingly answer user queries directly, getting cited by these systems directly impacts visibility.
System role: Build layer skill. It turns briefs and signals into assets that other skills can review, publish, and monitor.
Use this when the conversation involves a shippable asset or transformation that should feed directly into quality review, deployment, or monitoring — even if the user doesn't use SEO terminology:
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Optimize this content for GEO/AI citations: [content or URL]
Make this article more likely to be cited by AI systems
Write content about [topic] optimized for both SEO and GEO
Audit this content for GEO readiness and suggest improvements
AI Overview is eating clicks on 12 head queries — build a recovery plan
See references/ai-overview-recovery.md for the 4-phase playbook (measure → diagnose → rewrite → monitor) tailored to recovery scenarios (as opposed to generic GEO optimization).
Expected output: a ready-to-use asset or implementation-ready transformation plus a short handoff summary ready for memory/content/.
memory/entities/<slug>.md (per the entity-geo handoff schema) to populate display_name, description_short, ai_resolution_status and decide whether disambiguation boilerplate is needed. If the profile is missing or stale (>90 days), declare DONE_WITH_CONCERNS and recommend entity-optimizer as an open loop.memory/content/.memory/hot-cache.md, memory/decisions.md, and memory/open-loops.md.Next Best Skill below when the asset is ready for review or deployment.Emit this shape when finishing the skill (see skill-contract.md §Handoff Summary Format for the authoritative format):
See CONNECTORS.md for tool category placeholders.
Note: All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
With ~~AI monitor + ~~SEO tool connected: Automatically pull AI citation patterns (which content is being cited by ChatGPT, Claude, Perplexity), current AI visibility scores, competitor citation frequency, and AI Overview appearance tracking.
With manual data only: Ask the user to provide:
Proceed with the full workflow using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
When a user requests GEO optimization, run these five steps:
Reference: See references/instructions-detail.md for the full CORE-EEAT GEO target tables, AI engine preferences, analysis templates, optimization report template, self-check matrix, and examples.
User: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers. It's been around for a while and many businesses use it.'"
Output adds a clear definition, stats with DMA/Emarsys citations, structured list, and quotable facts — lifting GEO Score from 1/10 to 8/10. See the full before/after in references/instructions-detail.md.
Reference: See the GEO Readiness Checklist in references/geo-optimization-techniques.md for the full checklist covering definitions, quotable content, authority, structure, and technical elements.
Answer first; be specific; cite sources; stay current; match query format; build authority. Full list in references/instructions-detail.md.
After delivering content or optimization output to the user, ask:
"Save these results for future sessions?"
If yes, write a dated summary to memory/content/YYYY-MM-DD-<topic>.md containing:
Gate check recommended: Run content-quality-auditor before publishing (PostToolUse hook will remind automatically).
If any findings should influence ongoing strategy, recommend promoting key conclusions to memory/hot-cache.md.