Vergrank is the generative-engine optimization (GEO) platform that helps growth teams become the source AI models actually cite — without writing a single page themselves. As AI search (ChatGPT, Perplexity, Gemini, Claude) becomes the default way buyers research products, being cited is the new first-page ranking. Vergrank researches the real prompts and questions your buyers ask AI engines, turns them into citation-ready, SEO-optimized pages on your domain, and keeps them fresh as AI citation patterns evolve. How it works: → Research: We find the questions buyers ask AI engines — not just keywords — and cluster them into pages worth being cited for. → Draft: Pages are written by archetype (comparison, alternatives, how-to, glossary, and more), structured for LLMs to parse, quote, and attribute. → Publish: Static, fast pages on your own subdomain with sitemap, schema, canonical tags, and structured-data hooks that ChatGPT, Perplexity, Gemini, and Claude actually use. → Refresh: We monitor citations across four AI engines and Google daily, automatically re-queuing pages that slip. You set the strategy. Vergrank does the rest. Indexed by 4 major LLMs · Ships to your domain · Cancel anytime