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AI Image Detector vs Rulebook

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

AI Image Detector compared with Rulebook
DetailAI Image Detector logo AI Image DetectorRulebook logo Rulebook
What it doesEvidence laid out, not a lone percentage. Take your AI support bot from 4/10 to 10/10
StageNot given MVP
FoundedNot given 2026
Based inNot given Not given
Pricing modelFreemium Free trial
PricingFree plan: 4 welcome credits (1 full report). Pro: $19/month for 300 credits/month. Team: $59/month for 1500 credits/month. Each report costs 4 credits. Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
Key features
  • Cross-checks four independent detection models
  • Deterministic evidence trump card (C2PA credentials, generator self-tags)
  • Published weighted-vote rule (30% each for Sightengine, Winston AI, Was It AI; 10% for SAFE)
  • Batch screening of up to 50 images at once
  • Graded conclusions with disagreement reported
  • Shareable report links and forensic PDF download
  • Support for JPEG, PNG, WebP up to 12MB
  • Generator-specific classification (Midjourney, DALL-E, Stable Diffusion, Flux, Imagen, Adobe Firefly, Ideogram)
  • SHA-256 file hash recording for chain-of-custody
  • Private uploads, shared only via report link
  • 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
  • Published weighted-vote rule with every vote shown by name instead of hidden percentages
  • Reports disagreement honestly instead of blending signals into one number
  • Automatic credit refund when an engine fails
  • Full product access in free tier (not a limited teaser)
  • Deterministic file evidence (C2PA, metadata) that outranks model votes
  • 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 votes00
DR (Domain Rating by Ahrefs)41 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)130
Citation Flow (Majestic)270
Referring domains (Majestic)1020

5 details filled in for both companies.

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