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About the startup
LLM Scan is an AI visibility scanner, GEO audit tool, and LLM SEO platform that shows how ready your website is for ChatGPT, Perplexity, Claude, Gemini, AI agents, and answer engines. It audits the technical and content signals LLM-powered systems rely on to crawl, understand, cite, and reuse your pages, including crawlability, robots.txt, sitemap.xml, llms.txt, structured data, semantic HTML, Markdown support, metadata, and content clarity. Key features: - AI-readiness score for fast benchmarking - Shareable public scan reports for teams, clients, and stakeholders - GEO and LLM SEO audit across technical and content signals - Checks for robots.txt, sitemap.xml, llms.txt, structured data, and semantic HTML - Crawlability analysis to find blocked or hard-to-access pages - Content-signal review to improve how AI systems interpret your site - Generated optimization fixes your team can copy, edit, and ship - Leaderboard-style comparison to see how your site performs against others - Monitoring-ready workflow for tracking AI visibility improvements over time What makes it different: - Built specifically for AI search, answer engines, and LLM-powered discovery - Focuses on machine readability, not just traditional SEO ranking factors - Combines developer-friendly technical checks with marketer-friendly recommendations - Turns scan results into practical fixes instead of vague audit notes - Creates reports that are easy to share with clients, founders, product teams, and agencies Expected outcomes: - Make your website easier for AI agents to crawl and understand - Improve readiness for ChatGPT, Perplexity, Claude, Gemini, and answer engines - Find hidden technical blockers before they affect AI visibility - Strengthen structured data, semantic HTML, and content clarity - Give developers a clear checklist of fixes to implement - Help marketing and growth teams explain AI visibility progress with a simple score - Build a stronger foundation for GEO, LLM SEO, AI search optimization, and answer engine optimization
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