Ask Search Console in plain language from Claude, ChatGPT, Cursor or Claude Code
AI model of your product's business logic accessible to people and AI agents
Stage
Growing
Not given
Founded
Not given
Not given
Based in
Not given
GB
Pricing model
Free
Freemium
Pricing
Free with no credit card required, no trial limits, and no paywall features.
Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
Read Search Console data in plain language
Site overview with clicks, impressions, CTR and average position
Find ranking opportunities for queries ranking 5-20
Detect keyword cannibalization across pages
Analyze branded vs non-branded search traffic
Inspect URL indexing status and crawl data
View submitted sitemaps and their errors
Works with Claude, ChatGPT, Cursor and other MCP clients
Encrypted token storage and hash-based link revocation
Builds features, rules and customer paths and keeps them current with every push
Shows what each commit changed in the business logic, not only in the code
Provides change impact analysis before merge showing what could break
Checks PRDs and specifications against the product
Delivers understanding to AI agents over MCP
Runs locally on your machine with GMM Local
Finds risky patterns and problems in the product
Enterprise deployment inside your security boundary
Integrates with Claude Code, Cursor, Codex and VS Code
MCP access for agents with 1-10 credits per answer
What makes it different
No Google Cloud project or credentials.json required to set up
Completely free with no card, trial limits, or locked features
Read-only access prevents any modifications to Search Console data
Works with any MCP client that supports remote servers
Nearly 3× fewer errors on Benchmark 001 compared to alternatives
8.4K tokens per question instead of 27.4K for competitors
Results published and measurable; method is proprietary
Reduces AI cost per completed agent action from $0.35 to $0.08