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Machine Relations

Consulting method for getting brands named and recommended by AI answer engines through structured, retrievable authority signals.

At a glanceswept 2026-10-12

≈ 33visits/mo

Little sign of use · estimate, read 2026-10-12

  • Machine Relations33
  • #1 Canva70.4M
  • Marketing median23
For
Brands and communications teams that want AI answer engines like ChatGPT, Perplexity and Gemini to cite and recommend them.
Price
Price not read
Activity
Actively maintainedsite updated 2 days ago
Company
since 2024per Wikidata
What people do with it
  • track which sources AI answer engines cite
  • place earned media where AI engines retrieve it
  • measure brand citations across observed answer runs
The companyeach fact with its source · read 2026-10-14
  • Founded2024per Wikidata
How a program reaches itfound, not claimed · read 2026-10-13
  • MCP serverai.machinerelations/mriverified in the MCP registry
  • Stateanswers, 4 toolschecked 2026-10-13
  • Address to connectmachinerelations.ai/mcp
  • OpenAPI spec5 pathsthe spec ↗
  • API docsmachinerelations.ai/developersthe vendor's page ↗

MCP server details →

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 Marketingby use, among tools still maintained

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

All Marketing tools →

Questions this page answers
  • What is Machine Relations?

    Consulting method for getting brands named and recommended by AI answer engines through structured, retrievable authority signals. It is listed in the Atlas under Marketing.

  • Who is Machine Relations for?

    Brands and communications teams that want AI answer engines like ChatGPT, Perplexity and Gemini to cite and recommend them.

  • Do people use Machine Relations?

    Little sign of use: ≈ 33 visits/mo · estimate, 2026-10.

  • Is Machine Relations still maintained?

    Actively maintained: site updated 2 days ago.

  • What are alternatives to Machine Relations?

    In Marketing, by use: Surfer SEO, Writesonic, Addlly AI, LLMrefs, Clearscope, Wellows.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

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.