| What it does | The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
| Free Chrome extension that checks any page for search engines, AI answers and AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
| Open source
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| 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.
| Free. Optional: bring your own API keys for DataForSEO (for keyword and backlink data) and Cloro (for unattended AI answer panels), with costs paid directly to those providers.
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| 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
| - SEO audit: checks titles, headings, canonicals, robots rules, structured data and redirects
- GEO audit: checks HTML that AI crawlers read before JavaScript and robots.txt permissions
- AXO audit: tests whether agents can name buttons, fields and use forms
- Whole site crawl: up to 200 pages for broken links, duplicates, orphans and soft 404s
- AI answer reading: integrates with ChatGPT, Gemini, Claude, Perplexity, Google AI Mode and AI Overview
- Agent journeys: runs up to 15-step browser agent tests on your own API keys or Chrome's built-in model
- MCP server: hosted at mcp.workpods.ai/mcp for use in Claude and other MCP-compatible clients
- CI/CD integration: npx command to fail builds on high-severity checks
- Copy fix prompts: converts findings into prompts for coding agents
- Severity levels: every check passes, fails, or partly passes with severity ratings
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| 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
| - Free and open source under Apache 2.0 licence with all checks visible on GitHub
- Agent journeys stop before submitting forms or making purchases, safe to run on live sites
- Works with your own API keys or Chrome's free built-in model, no vendor lock-in
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 17 ▼ −1 (down) since last check | 35 ▲ +35 (up) since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 18 | 0 |
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| Referring domains (Majestic) | 4 | 0 |
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Hypotize
Agent Ready