SEO and AI visibility API for tracking brand rankings and mentions across Google and AI models
The analytics layer for AI search
Stage
Not given
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Founded
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Based in
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Pricing model
Freemium
Free trial
Pricing
Free: $0/month with 100 credits/month. Starter: $49/month with 5,000 credits/month ($9.80 per 1k credits). Standard: $99/month with 15,000 credits/month ($6.60 per 1k credits). Pro: $199/month with 50,000 credits/month ($3.98 per 1k credits). AI Visibility check: 3 credits per engine. AI Mentions: 3
Company Plan: €150/mo (excl. VAT) or €1,500/year (excl. VAT); 60 prompts at entry level, up to 400 prompts on Advanced plan; custom pricing available.
Key features
Track mentions and rankings across ChatGPT, Claude, Gemini, Grok, and Perplexity
Google rankings and AI Overview presence tracking
Share of voice comparison against competitors
Citation and source tracking
REST API with Node.js and Python SDKs
MCP server for AI agents
Dashboard for visual inspection and team collaboration
Scheduled trackers with history and alerts
Bulk scans across multiple prompts and engines
No-code integrations with Make and Zapier
AI search visibility tracking across ChatGPT, Gemini, Claude, Perplexity and other models
Daily tracking and snapshot generation
Brand sentiment analysis
Competitor benchmarking and monitoring
Source and citation analysis
Custom prompt creation and AI-suggested prompts
AI Shopping tracking and analytics
Looker Studio dashboard connector
Model Context Protocol support for Claude and agents
What makes it different
Single API tracks visibility across Google and all major AI models in one normalized view
No need to build or maintain scrapers for each search engine and AI model
Includes AI sentiment analysis and share of voice against competitors
Works with AI agents through MCP without code required
Free reads and history storage; pay only for metered work based on actual costs
Measures actual AI-generated paragraph content, not search rankings or proxies
Evidence-based scoring that traces back to actual prompts and model outputs
Tracks multiple models and markets with language-specific segmentation
Purpose-built for Web3 with category templates and sovereign model coverage
Action-oriented recommendations prioritized by impact and effort