Vergrank is a generative-engine optimization platform. Its product is built around the questions buyers ask AI assistants, and its output is pages written so those models cite them: it researches buyer questions put to AI assistants, then publishes pages for those models to cite, against a shift in which generative AI engines such as ChatGPT, Perplexity, Gemini and Claude now answer questions buyers used to type into a search bar. Vergrank writes each page against one of eight archetypes and structures it for AI models to parse, quote and attribute.
Vergrank targets anyone who needs to appear in AI answers and search results without managing the workflow. It blocks pages whose claims cannot be grounded in the customer's own data before they reach publish, a check that separates it from generic AI writers, which produce one-prompt, one-template pages that read alike and that AI engines do not single out as sources.
