Individual skill
aeo-magicstone
Use when designing, implementing, or measuring Answer Engine Optimization (AEO) for AI answers, citations, generative search, or agent-readable web content. Do not use this as a general SEO audit or CMS operations guide; route those parts to seo-audit or the relevant platform skill. Evidence-disciplined methodology: no tactic is treated as a universal ranking or citation guarantee.
skills-imported/aeo-magicstone/SKILL.md
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- Last checked
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- 53
- Repository last updated
- Oct 10, 2026
- License
- MIT
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- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
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SKILL.mdcore · 8,506 bytesreferences/agent-readable-content.mddoc · 1,699 bytesreferences/content-and-entity-architecture.mddoc · 3,928 bytesreferences/discovery-and-freshness.mddoc · 2,676 bytesreferences/evidence-boundaries.mddoc · 4,406 bytesreferences/implementation-playbook.mddoc · 5,961 bytesreferences/measurement-and-experimentation.mddoc · 2,891 bytesreferences/platform-guidance.mddoc · 2,618 bytesreferences/source-index.mddoc · 3,367 bytesreferences/structured-data.mddoc · 3,047 bytesscripts/aeo_audit.pyruns · 5,477 bytesscripts/build_prompt_matrix.pyruns · 2,205 bytesscripts/test_aeo_scripts.pyruns · 2,020 bytestemplates/aeo-implementation-plan.mddoc · 1,304 bytestemplates/citation-observation-log.mddoc · 825 bytestemplates/llms.txt.templateasset · 556 bytestemplates/question-cluster.mddoc · 796 bytestemplates/robots-ai-crawlers.txtdoc · 953 bytes
Read excerpt
# Answer Engine Optimization (AEO)
A source-disciplined implementation methodology for making useful, attributable answers discoverable and reusable by AI search and answer systems without treating vendor folklore as a ranking guarantee.
## When to use
Load this skill when the work involves:
- planning or implementing AEO, GEO, LLMO, AI-search visibility, or citation visibility;
- turning a topic into question clusters, answer-first pages, evidence blocks, or reusable knowledge assets;
- implementing or validating answer-oriented HTML, JSON-LD, `llms.txt`, crawler controls, sitemaps, freshness signals, or Markdown delivery;
- designing prompt sets, citation observation logs, share-of-voice experiments, or AI-answer measurement;
- translating an AEO audit into a bounded implementation plan.
