Framework-aware SEO and AI crawler checks inside your GitHub pull requests
AI SEO analyzer and website audit tool for technical SEO, rank tracking, and performance monitoring
Stage
Not given
Established
Founded
Not given
2020
Based in
GB
US
Pricing model
Freemium
Freemium
Pricing
Developer: Free for unlimited public repositories, CLI and MCP server. Studio: $190/year (or $19/month) per GitHub organization for unlimited private repositories, team alerts, and priority support.
Pro: $9/month (billed $115 yearly) or $192/year; Max: $22/month (billed $273 yearly) or $456/year; Ultra: $44/month (billed $532 yearly) or $888/year. Welcome offer provides 40% off for 72 hours after free trial starts.
Key features
Framework-aware SEO checks for Next.js, React, Vue, Svelte, and Astro
Delta scanning flags only newly introduced issues
One-click fixes in pull request comments
AI crawler blockers detection
Real-time alerts via Slack, Teams, Discord and email
Zero GitHub CI minutes usage
Full 100+ rule SEO engine
Free CLI and MCP server for any code
Website audit and crawling
Rank tracking by country, language, and device
AI visibility monitoring across OpenAI, Gemini, and Perplexity
Keyword research with intent and difficulty analysis
Backlink analysis and competitor comparison
PageSpeed and Core Web Vitals monitoring
White-label SEO reports
SEO MCP integration with AI assistants
What makes it different
Automatic delta scanning catches only newly introduced SEO issues, not legacy technical debt
30-second setup with one-click GitHub installation, no config files required
Runs on serverless webhooks without consuming GitHub CI minutes or blocking builds
AI search engine optimization checks for ChatGPT, Perplexity and Google AI crawlers
Exact line-by-line code fixes posted directly in pull requests
Affordable pricing compared to enterprise SEO platforms
Integrated workspace combining audits, rank tracking, and AI visibility in one platform
AI assistant integration through Model Context Protocol
Practical focus on actionable SEO work rather than complex dashboards