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Ora vs Rulebook

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

Ora compared with Rulebook
DetailOra logo OraRulebook logo Rulebook
What it doesMake your site work for agents Take your AI support bot from 4/10 to 10/10
StageNot given MVP
FoundedNot given 2026
Based inUS Not given
Pricing modelFree Free trial
PricingNot given Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
Key features
  • Automated and live agent simulations
  • Journey - agent task recording
  • Terminal-based audit tool
  • Four-layer scoring system
  • Real agent simulations from multiple platforms
  • MCP server scoring
  • Web research and registry checks
  • Agent readiness research and monitoring
  • API access with no authentication required
  • Bot Score: rates bot performance across five dimensions (rules, facts, solutions, tone, trick resistance)
  • Break my bot: 15 adversarial customer scenarios test for vulnerabilities
  • Fix it for me: automatically rewrites rule sheet and tests against saved situations
  • Train my bot: 30-minute automated training on weak spots with test validation
  • GitHub integration: sends improvements as pull requests for engineer approval
  • Real chat analysis: identifies problems in actual customer conversations with privacy masking
  • Knowledge check: validates bot replies against FAQ and policy documents
  • AI comparison: test bot performance across Claude, ChatGPT, and Gemini with costs and speed
  • Open source engine: public GitHub implementation of scoring and testing algorithms
What makes it different
  • First standard measuring how well agents can use websites
  • Tests with real agents from ChatGPT, Claude, and other platforms
  • Founded by creators of agent standards at Anthropic and OpenAI
  • Open standard with industry partnerships
  • Public research on web agent readiness
  • Nothing ships without engineer approval: all changes go through GitHub pull request review
  • Privacy by default: customer data anonymized, keys encrypted, uploads not stored
  • Open source testing engine: full algorithm transparency available on GitHub
  • Works with your existing AI: supports Claude, ChatGPT, and Gemini with user's own keys
  • Unified team experience: one plan covers support, product, and engineering roles
Community votes20
DR (Domain Rating by Ahrefs)64 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)220
Citation Flow (Majestic)460
Referring domains (Majestic)8110

4 details filled in for both companies.

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