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Merge dedicated AEO skill with implementation references, templates, scripts, evals, and SEO routing.
35 lines
3.3 KiB
Markdown
35 lines
3.3 KiB
Markdown
# AEO source index
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This source map supports the skill. Re-check provider documentation before relying on version-sensitive crawler names, dashboards, policies, or controls. Initial research pass: 2026-08-18.
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## Primary and standards sources
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- [Google: AI features and your website](https://developers.google.com/search/docs/appearance/ai-features) — existing SEO fundamentals, no additional technical requirements or special AI markup, query fan-out, preview controls, and Search Console measurement.
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- [Google: optimizing for generative AI features](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) — RAG, query fan-out, people-first content, technical structure, and mythbusting for `llms.txt`, chunking, exact rewrites, and inauthentic mentions.
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- [OpenAI: crawler overview](https://platform.openai.com/docs/bots) — OAI-SearchBot for search, GPTBot for training, ChatGPT-User for user-triggered access, independent robots controls, and propagation caveats.
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- [Bing: AI Performance](https://blogs.bing.com/webmaster/February-2026/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview) — citation counts, cited pages, grounding queries, page activity, trends, and metric limits.
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- [Bing: sitemaps in AI search](https://blogs.bing.com/webmaster/July-2025/Keeping-Content-Discoverable-with-Sitemaps-in-AI-Powered-Search) — sitemap coverage, truthful `lastmod`, and IndexNow as discovery/freshness aids without an inclusion guarantee.
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- [Perplexity: crawlers](https://docs.perplexity.ai/docs/resources/perplexity-crawlers) — provider crawler and robots guidance; verify directly when implementation depends on details.
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- [Schema.org FAQPage](https://schema.org/FAQPage), [HowTo](https://schema.org/HowTo), and [FAQ](https://schema.org/docs/faq.html) — vocabulary semantics, not a citation guarantee.
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- [IETF RFC 9309](https://datatracker.ietf.org/doc/html/rfc9309) — Robots Exclusion Protocol.
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- [Sitemaps protocol](https://www.sitemaps.org/protocol.html) — XML sitemap format.
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- [llms.txt proposal](https://llmstxt.org/) and [repository](https://github.com/AnswerDotAI/llms-txt) — optional community proposal; Google says it does not use it for Google Search visibility.
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## Secondary methodology sources
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- [Graphite / Ethan Smith](https://graphite.io/five-percent/aeo-is-the-new-seo) — hypothesis generation and test/reproduce framing.
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- [AirOps AEO guide](https://www.airops.com/blog/aeo-answer-engine-optimization) — practitioner tactics and vendor-reported study claims.
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- [Frase AEO guide](https://www.frase.io/blog/what-is-answer-engine-optimization-the-complete-guide-to-getting-cited-by-ai) — practical prompt baselines and citation tracking ideas.
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- [CXL AEO guide](https://cxl.com/blog/answer-engine-optimization-aeo-the-comprehensive-guide/) — secondary taxonomy and implementation discussion.
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## Rejected or bounded claims
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- There is one universal AEO algorithm.
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- FAQPage has a fixed citation multiplier.
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- `llms.txt` improves Google AI visibility.
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- Allowing every crawler guarantees citations.
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- More short pages, exact-match questions, or web mentions always win.
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- Citation count equals authority, ranking, correctness, traffic, or conversions.
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These are unsupported, provider-specific, vendor-reported without portable evidence, or contradicted by current primary guidance.
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