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Spotaq vs ModelRefs

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

Spotaq compared with ModelRefs
Detail Spotaq ModelRefs
What it doesIndependent AI visibility checker that measures whether ChatGPT, Perplexity, and other AI models recommend your SaaS brand The AI Reference Layer for Implementation Decisions
StageNot given Not given
FoundedNot given Not given
Based inNot given US
Pricing modelPaid Freemium
PricingFree instant scorecard. Spotaq Audit: $19 one-time for a complete PDF snapshot with prompt-by-prompt breakdown, citation chain, Missed Prompts report, and fix pack. Spotaq Monitor: $49 per month for weekly monitoring, score history, trend deltas, competitor alerts, and up to 6 full runs per month on 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.
Key features
  • Brand mention rate tracking
  • Citation and source attribution analysis
  • Missed Prompts report identifying queries won by competitors
  • Competitor recommendation tracking
  • Weekly score history and trend deltas
  • Multi-brand monitoring for up to 5 domains
  • Copy-ready fix pack with positioning rewrites and JSON-LD schema
  • Weekly email digest with alerts on score changes
  • 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
What makes it different
  • Independent measurement with no selling of placements or backlinks
  • Measured consistently week-to-week so changes mean something
  • Evidence-backed scores derived from actual AI answers and citations
  • Focuses on AI-native discovery rather than traditional SEO metrics
  • 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
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last check1 no change since last check
Trust Flow (Majestic)02
Citation Flow (Majestic)1317
Referring domains (Majestic)311

5 details filled in for both companies.

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