CrawlRaven

SEO teams pull data from four separate tools: Google Search Console shows what changed, GA4 shows visitor behavior, Ahrefs or Semrush show ranking opportunities, and a crawler shows technical issues. Each produces its own export, and the resulting strategy ends up scattered across a spreadsheet nobody opens for weeks. Meanwhile pages quietly decay, two URLs cannibalize the same query, easy page-2 wins go unclaimed, and canonical bugs hide between missing alt tags. Teams spend their hours triaging thousands of keywords and issues instead of shipping fixes.

CrawlRaven connects Google Search Console via OAuth, links GA4 for traffic and engagement context, imports CSV keyword lists from Ahrefs or Semrush, and runs its own 200-point technical site crawl, merging all four into one workspace. It builds a keyword map assigning every term to the page that should rank, flags cannibalization between competing pages, surfaces runner-up keywords just off page one, identifies content gaps with an internal-link plan, and tracks decay before traffic craters. Technical findings are scored by severity and category in a separate audit view, with available search traffic used to prioritize what to fix first. A remote MCP server lets AI clients like Claude, ChatGPT, Codex and Cursor query the same Search Console evidence, GA4 outcomes and ranked plan through scoped, read-only OAuth access, with up to 30 tools available on paid plans.

New: MCP is live, letting Claude, ChatGPT and Cursor connect directly to scoped Search Console evidence and the ranked plan instead of working from invented context.