AI automation and visibility for mid-sized companies
The native language of AI; in human terms, a protocol.
Stage
Established
Startup
Founded
2020
2026
Based in
US
CA
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
AI-native communication protocol with 88 verbs and two syntaxes
AI See: give any AI model vision by pasting i.ilang.ai URLs
Zero installation required, pure text format
Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
Loader available via pip and npm for automatic protocol injection
Prompt compression: 67% reduction in tokens for typical instructions
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
First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
Open source and MIT licensed with no royalties or approval required
Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
Tested and benchmarked with public conformance results and DOI-registered research