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AON vs GitMir

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

AON compared with GitMir
DetailAON logo AONGitMir logo GitMir
What it doesStructured offer network for AI-native commerce connecting AI products with merchant offers and preserving attribution AI model of your product's business logic accessible to people and AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelFree Freemium
PricingNot given Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
  • Capture user intent signals
  • Match intent to ranked merchant offers
  • Native offer rendering
  • Qualified outcome tracking
  • Multiple presentation surfaces
  • TypeScript SDK integration
  • REST API for any language
  • Real-time performance reporting
  • Full design control with custom components
  • MCP access for compatible hosts
  • Builds features, rules and customer paths and keeps them current with every push
  • Shows what each commit changed in the business logic, not only in the code
  • Provides change impact analysis before merge showing what could break
  • Checks PRDs and specifications against the product
  • Delivers understanding to AI agents over MCP
  • Runs locally on your machine with GMM Local
  • Finds risky patterns and problems in the product
  • Enterprise deployment inside your security boundary
  • Integrates with Claude Code, Cursor, Codex and VS Code
  • MCP access for agents with 1-10 credits per answer
What makes it different
  • No injected iframes or third-party scripts
  • Minimal integration required
  • Intent-matched offers vs fixed ad placements
  • Dynamic offer matching for AI workflows
  • No minimum traffic requirements
  • Nearly 3× fewer errors on Benchmark 001 compared to alternatives
  • 8.4K tokens per question instead of 27.4K for competitors
  • Results published and measurable; method is proprietary
  • Reduces AI cost per completed agent action from $0.35 to $0.08
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)14 no change since last check27 no change since last check
Trust Flow (Majestic)73
Citation Flow (Majestic)2928
Referring domains (Majestic)3550

4 details filled in for both companies.

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