The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
AI readiness check for websites: measures how well AI agents can access, understand and navigate your site
Stage
Not given
Startup
Founded
Not given
2024
Based in
US
AT
Pricing model
Not given
Free
Pricing
Free: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects.
Not given
Key features
Complete experiment backlog with candidate ideas
Status tracking from idea to outcome
Shared experiment learnings across team and agents
ICE, PIE, RICE scoring frameworks with voting
Enforced experiment stages with mandatory results and learnings
MCP server for AI agent read and write access
Skills that teach agents the methodology
Plugin for Claude Code and Codex
Web app for team review and collaboration
OAuth security with granular permissions
28 automated checks across access, understanding, discoverability, EU transparency and usability
Static HTML analysis without JavaScript execution
AI crawler identifier testing with GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot and Google-Extended
Rendered page analysis with JavaScript execution comparison
Observed agent task execution with logging
Five weighted scoring layers with consequence-based assessment
Letter grade result from A to F based on rubric version 1.1.3
Instant results with no registration required
Checks for robots.txt, sitemap, llms.txt and trust pages
Optional in-browser JavaScript rendering check
What makes it different
Agents cannot bypass the method: tests cannot close without measured results and written learnings
Enforced workflow prevents confident guesses and invented wins
Shared memory ensures experiments are never repeated and evidence is preserved
Agents read and write to the same record as teams under identical rules
Data stays in EU on Hetzner servers in Finland
Weighted scoring model that treats missing features as not applicable rather than failures, preventing unfair penalties
EU-focused transparency and privacy layer addressing GDPR and consent requirements specific to European compliance
Versioned rubric that allows results to remain comparable across time
Real agent task execution logging showing exactly where AI agents get stuck on your site
Hypotize
Blck Alpaca