Radarkit vs ModelRefs
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Radarkit compared with ModelRefs
| Detail | 
Radarkit | M
ModelRefs |
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| What it does | AI search tracking tool that monitors your brand across ChatGPT, Google AI Overview, Gemini and more
| The AI Reference Layer for Implementation Decisions
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | IN
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Lite: $29/month (2 projects, 15 prompts tracked); Growth: $79/month (5 projects, 50 prompts tracked); Pro: $139/month (10 projects, 100 prompts tracked); Enterprise: Custom pricing (unlimited projects, custom prompt tracking)
| Free tier: 1,000 API calls per month. Starter: $19/month. Pro: $49/month. Business: $199/month. Builder: $19/month with 1,000 task executions. Scale: $49/month with 5,000 task executions.
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| Key features | - Monitor brand mentions across ChatGPT, Google AI Overview, Gemini, Copilot, Perplexity and Google AI Mode
- Local business tracking across 50+ countries
- Shopping product visibility in AI results
- Ad tracking on AI prompts
- Content Agent for article optimization
- Outreach Agent for backlink automation
- Reddit Agent to win discussion threads
- MCP and API access to connect data to AI assistants
| - Evidence API with citations and governed benchmark runs
- Knowledge Graph connecting models, providers, benchmarks and workflows
- Rate limiting and monthly API allowances
- MCP server for agent integration
- Bearer token authentication
- Reference profiles and implementation context
- Status and methodology visibility for evidence gaps
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| What makes it different | - Real chat interfaces instead of APIs for accurate AI monitoring
- AI agents trained on your live data to automate content and outreach
- Track local business visibility city by city
- Monitors 24/7 across multiple AI platforms simultaneously
- Branded PDF reports and client portal for agencies
| - Every benchmark score includes methodology limitations and claim scope so evidence cannot be presented without context
- Connected reference system organizing AI knowledge fragmented across announcements, docs and research
- All tiers access the same evidence base; differences are only in call volume and support
- Governance-aware methodology for compliance and risk review
- Free read access to all tutorial, reference and comparison content
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 38 ▼ −1 (down) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 2 |
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| Citation Flow (Majestic) | 33 | 17 |
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| Referring domains (Majestic) | 187 | 11 |
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6 details filled in for both companies.
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