AI automation and visibility for mid-sized companies
Interactive worlds for people and AI to build, learn and solve problems together
Stage
Established
Not given
Founded
2020
Not given
Based in
US
Not given
Pricing model
Freemium
Free
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
Photo to brick set conversion with 3D preview and parts list
Workbench for collaborative brick-by-brick editing
MCP server integration with Claude Code, Codex, Cursor and more
Build structure checking and validation
OAuth sign-in with no token storage
Offline build access with local browser storage
Export digital manuals and wanted parts lists
Interactive environments for AI training
Consent-based human demonstration recording
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
Checked outcomes - part connections and build validity are verified by software before delivery
Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
People and AI work on the same design simultaneously within the workbench
Measurable AI learning with transfer testing across different worlds
INITE