product
Retrieval, semantic mapping, technical scraping, and agents — the same product surfaces from the homepage, each with its own depth.
/ retrieval
Chunk, embed, and query any crawl the way language models retrieve — cosine similarity against real passages, not keyword matching.
/ map
Group pages by semantic similarity into a tree map of what a site is actually about — with issues and link data layered on top.
/ scrape
Render, save, and refresh full-site scrapes with HTML, status codes, canonicals, and links attached to every URL.
/ agents/mcp
Ask questions over crawl data, ship audit-ready docs and sheets, and sync site context to Claude, ChatGPT, Cursor, or Codex.
use cases
Turn a rendered crawl into a clear SEO and AEO story: what is broken, where it repeats, which pages matter, and what an agent can do next.
Use embeddings and semantic mapping to understand how pages relate, where intent overlaps, and which internal links should exist.
Use agents to find, organize, and export SEO deliverables with the crawl context already attached.
Sync crawl workspaces to the cloud, connect them to MCP clients, and let teams query shared site data from the AI tools they already use.
Compare your site against competitors or past crawls without exporting thousands of pages into another AI tool.