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Reference edition 2026.46

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AIMentionTracker vs Kavara™

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

AIMentionTracker compared with Kavara™
DetailAIMentionTracker logo AIMentionTrackerKavara™ logo Kavara™
What it doesGet recommended by ChatGPT, Claude and Google AI Discovery engine for unidentified data phenomena
StageStartup Not given
Founded2026 Not given
Based inGB US
Pricing modelFree trial Contact for pricing
PricingSolo: $9/month for 2 prompts or $90/year; Starter: $19/month for 5 prompts or $190/year; Growth: $29/month for 9 prompts or $290/year; Scale: $49/month for 15 prompts or $490/year. Yearly pricing is ten months' price, offering two months free. Above 15 prompts, email for custom pricing. 7-day free t Not given
Key features
  • AI visibility tracking across six engines with separate rates for each
  • Prompt tracking with search volume data from Google
  • API, CLI and MCP server on every plan at the same rate limit
  • Support for seven data shapes including time series, events, networks, and spatial measurements
  • 32 categories spanning domains from financial markets to genomics
  • Discovery engine for changing relationships and recurring behaviours
  • Reproducible execution with documented model configuration and runtime context
  • Confidential compute options including Intel TDX, AWS Nitro Enclaves and AMD SEV
  • Developer API and GitHub integration for agent-based exploration
  • Support for investigating evidence and testing explanations
What makes it different
  • Tracks all six AI engines on every plan with no engines held back for higher tiers
  • Reports each engine separately instead of averaging them together
  • Shows denominator with every rate, never percentages on samples below five
  • Includes API, CLI and MCP server for AI agents on all plans at same rate
  • Separates phenomenon discovery from explanation, allowing rigorous investigation of root causes
  • Retains all outputs alongside original data for inspection and reproducibility
  • Works with existing data without requiring pre-identification of phenomena
  • Keeps execution accountable through documented model identity and configuration
Community votes00
DR (Domain Rating by Ahrefs)13 −2 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)182
Citation Flow (Majestic)2414
Referring domains (Majestic)3217

5 details filled in for both companies.

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