CrawlX

The gap

The technical SEO crawler market is led by Screaming Frog, a desktop tool with a dated interface, no AI, and a one-person, one-machine model. No sharing, no assigning issues, no client portals.

At the other end, enterprise crawlers like Lumar are fast but cost 15,000 to 50,000 dollars a year. That left a clear gap: enterprise speed, a modern interface, AI built in, and pricing a small team can afford.

Positioning

Linear meets Datadog for SEO. A crawler that does not just hand you a list of errors. It tells you what each one means and how to fix it.

What we built

The product, the engineering, and the brand, end to end.

• 400+ SEO checks across 12 analysis modules
• An AI layer on the Claude API: plain-English explanations, auto-generated fix code, and a conversational assistant you can ask about your own crawl
• Six core screens, including a live crawl view, a Kanban issue explorer, a site-architecture visualizer, and a white-label report builder
• An AI search-readiness module that checks whether pages are built for AI answer engines, a gap no competitor covers
• Rust crawl workers at 350 to 450 URLs per second, matching enterprise tools, with ClickHouse for billion-row crawl data

What makes it different

• AI intelligence no legacy crawler offers: explanations, fix code, and a chat assistant, not static hints
• Enterprise-class crawl speed at small-team pricing
• Team-first: assign issues to developers, share client portals, and comment, instead of one license per machine
• Built into the pipeline, with CI/CD on GitHub Actions and Vercel to catch SEO regressions before they ship