AI automation and visibility for mid-sized companies
High-assurance infrastructure for AI agents
Stage
Established
Not given
Founded
2020
Not given
Based in
US
US
Pricing model
Freemium
Open source
Pricing
Free plan with 2 daily analyses. AI Visibility Starter $29/month (10 daily analyses, 3 queries). AI Visibility Growth $79/month (25 daily analyses, full 6 queries). AI Visibility Autopilot $149/month (50 daily analyses, full 6 queries, weekly re-audit). Services: Free Diagnostic (15 min), Local Star
Not given
Key features
AI citation audit testing what AI models say about your brand in real queries
AI identity files checker for ai.json, llms.txt, robots.txt
AI crawler policy analysis for GPTBot, ClaudeBot, Perplexity
Schema.org markup structured data analysis
Technical SEO audit with canonical URLs and hreflang
Open Graph tags verification for AI sharing
Core Web Vitals and Lighthouse performance scoring
Market intelligence on pain points and decision criteria
AI-powered workflow automation for sales and support
MCP server integration for Claude and Cursor
Harpe: chooses what an AI agent reads under a token budget with consistent results
Kibisis: keeps agent memory on your hardware with AES-256-GCM encryption
Argus: append-only record that detects edits with cryptographic verification
No network code by default for local and disconnected use
MIT License with published code, benchmarks and raw results
What makes it different
Free visibility audit for AI assistants with no card required
Transparent ROI modeling before any automation work is built
Production workflows deployed in 2-4 weeks with team handover
Audits measured on the same frozen prompt set for comparable results
Focus on small to mid-sized companies 10-200 employees
Measured empirical validation across 6,111 questions outperforming full-context models
Zero plaintext on disk with encrypted vaults matching plaintext accuracy
78.3% fewer tokens sent to the model with a 1,200-token budget per turn
Preserves conversational chronology and relational qualifiers under token budgets
INITE
Perseus Computing