Analyze web content for AI search visibility and citation factors.
npx skills add https://github.com/htafolla/StringRay --skill seo-geo-htafolla
Please help me install this Agent Skill. Skill: seo-geo Source: https://github.com/htafolla/StringRay/tree/main/ci-test-env/.opencode/integrations/claude-seo/seo-geo Command: npx skills add https://github.com/htafolla/StringRay --skill seo-geo-htafolla
This Skill helps optimize your content to rank higher and be cited by AI-powered search engines like Google's AI Overviews, ChatGPT, and Perplexity, ensuring your brand is visible in the new era of search.
llms.txt compliance, and server-side rendering.Use the seo-geo skill to analyze the content at 'https://example.com/my-article'.
High-intent search queries and answers about installing and using this skill.
To optimize content for Google AI Overviews and ChatGPT search, you must analyze brand mention signals, ensure AI crawler accessibility, and improve passage-level citability scores. This process evaluates content structure and authority signals to increase AI visibility and citation rates.
llms.txt compliance ensures AI crawlers can efficiently access and parse your web content. Checking server-side rendering and crawler accessibility helps LLM-driven search engines like Perplexity understand your content structure, directly impacting your AI search visibility and citation frequency.
Improving passage-level citability involves analyzing multi-modal elements, content structure, and authority signals within your text. By optimizing these specific platform factors, your content becomes more easily referenced and cited by AI-powered search experiences like ChatGPT and Perplexity.
Yes, technical SEO for AI requires verifying server-side rendering and AI crawler accessibility. Ensuring your content is technically accessible to LLM crawlers is a prerequisite for ranking higher and being cited by AI-driven search engines like Google AI Overviews.
The best way to analyze brand mention signals is to evaluate platform-specific optimization factors across ChatGPT, Perplexity, and Google AI Overviews. Assessing these signals alongside content structure identifies gaps to improve your overall AI search visibility.
Your content may not be cited by Perplexity or ChatGPT due to poor AI crawler accessibility, low passage-level citability, or missing llms.txt compliance. Analyzing these technical and structural signals reveals specific limitations preventing AI search engines from referencing your pages.
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