Audit web content for AI search engine extractability and citation readiness.
npx skills add https://github.com/mikelmyers/danicleans --skill ai-seo-mikelmyers
Please help me install this Agent Skill. Skill: ai-seo Source: https://github.com/mikelmyers/danicleans/tree/main/.agents/skills/ai-seo Command: npx skills add https://github.com/mikelmyers/danicleans --skill ai-seo-mikelmyers
Help content teams and marketers make web content discoverable, extractable, and citable by AI-driven answer engines so their pages are more likely to be quoted or referenced in AI-generated answers across platforms like Google AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot.
Ask the ai-seo skill to audit your top product landing page for AI extractability, schema gaps, robots.txt bot access, and a prioritized list of content changes to increase AI citations.
High-intent search queries and answers about installing and using this skill.
To optimize content for AI search engines, you must structure passages for extractability, implement schema markup like FAQPage or HowTo, and build E-E-A-T authority signals. This increases the likelihood of LLMs citing your pages across platforms like ChatGPT and Perplexity.
Answer engine optimization is the process of making web content discoverable and extractable by AI-driven answer engines. It matters because it directly influences whether your site is quoted or referenced in AI-generated answers on platforms like Google AI Overviews and Gemini.
You can audit your website's AI visibility by running a checklist to verify whether your domain is indexed, checking robots.txt crawler access for AI bots, and evaluating if your pages are structured with schema markup for content extraction.
Schema markup types that improve AI citations include Article, FAQPage, HowTo, and Product. Adding these structured data types helps AI answer engines like Copilot and Perplexity parse your content and extract relevant passages for generated answers.
Robots.txt can block AI bots from crawling your content if misconfigured. Checking robots.txt crawler access is a critical step in an AI visibility audit to ensure AI search engines can reach and extract information from your key pages.
Content patterns that make passages easy for LLMs to cite include definition blocks, step-by-step instructions, comparison tables, FAQs, and statistic or quote blocks. These structured formats allow AI answer engines to easily extract and reference your information.
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