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Models Agree

Queries ChatGPT, Claude, Gemini and Grok and reports which brands each one recommends, with head-to-head comparisons and ranking changes over time.

Actively maintained

At a glanceswept Oct 13, 2026

≈ 1visits/mo

Little sign of use · estimate, read Oct 13, 2026

For
Brand managers and founders checking how ChatGPT, Claude, Gemini and Grok recommend their brand
Activity
Actively maintainedsite updated 2 months ago
Runs as
API
Used for
  • check which products AI models recommend for a category
  • compare two rival products head to head in AI answers
  • track weekly changes in AI recommendation rankings
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 21, 2026
  • MCP servercom.modelsagree/modelsagreeverified in the MCP registry
  • Stateanswers, 5 toolschecked 2026-10-21
  • Address to connectmodelsagree.com/mcp
  • API docsmodelsagree.com/api/v1/index.jsonthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Analyticsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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From people who use itnot part of the reading

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Questions this page answers
  • What is Models Agree?

    Queries ChatGPT, Claude, Gemini and Grok and reports which brands each one recommends, with head-to-head comparisons and ranking changes over time. It is listed in the Atlas under Analytics.

  • Who is Models Agree for?

    Brand managers and founders checking how ChatGPT, Claude, Gemini and Grok recommend their brand

  • Do people use Models Agree?

    Little sign of use: ≈ 1 visits/mo · estimate, 2026-10.

  • Is Models Agree still maintained?

    Actively maintained: site updated 2 months ago.

  • What are alternatives to Models Agree?

    In Analytics, by use: OpenMark, isitdns, Polymind, LopeBase, OriginBrief, Scruter.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk