Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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1min.AI
✓ verifiedFreemium
Bundles many AI models for chat, writing, image, audio and video into one affordable credit-based app.
662K visits/mo
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Stork
✓ verifiedPaid
Runs live AI reputation checks across ChatGPT, Perplexity, Gemini, Claude, and Grok to show who those engines recommend instead of you.
72K visits/mo
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Autonoma
✓ verifiedFreemium
Open-source testing platform where AI agents drive your app end-to-end to catch regressions on every PR, no test code needed.
72K visits/mo9.3K saves
Pricing
Free: $0/mo (450K credits)
Pro: $6.5/mo (1M credits)
Business: $10/mo (2M credits)
Enterprise: $7/member/mo (2M credits/member)
AI Reputation Report: $29 one-time
Free & pay-as-you-go: $0 to start (100K credits free, then $100 per 150K credits)
Self-hosted: $0 (free forever, unlimited)
Core features
- ✦AI chat across multiple models
- ✦AI writing and copy tools
- ✦Image generation, upscaling and editing
- ✦Document analysis and chat
- ✦Audio and video generation
- ✦Shared, rollover credit system
- ✦Live queries across ChatGPT, Perplexity, Gemini, Claude, and Grok
- ✦Scored report showing which competitors get named instead
- ✦Free preview of likely questions and rivals before purchase
- ✦Works for products, companies, or individual professionals
- ✦Optional ongoing monthly monitoring
- ✦AI tool directory used to resolve categories and competitors
- ✦AI agents navigate your app in real browsers
- ✦One-command setup that maps flows and drafts tests
- ✦SDK to seed and tear down real data
- ✦Runs on every PR against preview deploys
- ✦No test code required
- ✦Open-source with a self-hosted option
- ✦Integrates with GitHub, Vercel and Linear
Use cases
- →Producing marketing and social content
- →Generating and enhancing images
- →Summarizing and querying documents
- →Brainstorming with multiple AI assistants
- →Businesses checking whether AI chatbots recommend them over competitors
- →Professionals like advisors or consultants checking their AI visibility
- →Marketers identifying which pages AI engines cite as sources
- →Tracking changes in AI-driven recommendations over time
- →Catching regressions before merging PRs
- →End-to-end testing without writing scripts
- →QA for fast-shipping product teams
- →Self-hosted testing on your own infrastructure
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