SEO & AI Visibility
Machine Relations Skill & Plugin
An intervention brief for earning AI citations and recommendations by making your brand legible, retrievable, and credible inside AI-driven discovery
An open-source skill and plugin that helps brands turn authority questions into actionable moves: what to publish, improve, substantiate or pitch—and how to
Overview
The Machine Relations Skill & Plugin homepage
Machine Relations Skill & Plugin is an official intervention brief that works in AI assistants supporting skills. It helps brands bring their authority question, audience, and desired position, then delivers an evidence-backed decision, a usable pitch or work draft, and separate checks for execution and outcome. The skill uses supplied evidence and available research tools, paired with the Machine Relations Index (MRI) that researches which source domains AI engines cite in sampled buyer answers. It includes an open-source plugin available through Claude Code and Codex marketplaces, with directory listings for ChatGPT and Claude, plus an MCP connection for developers.
Capabilities
- Evidence-backed intervention briefs with multiple decision alternatives
- Separate checks for execution and outcome testing
- Integration with Machine Relations Index (MRI) for source research
- MCP connection for developers and REST API access
- Source-fit shortlists and publication recommendations
- GEO, AEO and AI visibility assessment
- Bounded content and discovery investigation
- Research asset application and outcome measurement
- Public category and source evidence without invented certainty
Pricing
Pricing model: Open source
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Machine Relations Skill & Plugin fact sheet
| Community votes | 0 |
|---|---|
| Founded | 2024 |
| Stage | Startup |
| Website | machinerelations.ai |
Machine Relations Skill & Plugin metrics
Vendor metrics for machinerelations.ai: Ahrefs Domain Rating and Majestic link data, with the delta since the last review.
- Domain Rating
- 50
- +1 (up) since last check
- Trust Flow
- 14
- no change since last check
- Citation Flow
- 45
- no change since last check
- Referring domains
- 313
- no change since last check
- External backlinks
- 19,640
- no change since last check
Vendor Domain Rating (Ahrefs) checked 6 Nov 2026, spec changed 1 Nov 2026. Vendor topic: Science/Social Sciences (13). Vendor Majestic data checked 26 Oct 2026, spec changed 26 Oct 2026. Link metrics supplied by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Machine Relations Skill & Plugin vendor domain
Open the vendor record
We read this from the registry's RDAP record on 5 Nov 2026, 23:10 UTC.
- Domain age
- 8 months
- Registered
- Expires
- Registrar
- NameCheap, Inc.
- DNSSEC
- Not signed
Machine Relations Skill & Plugin post-launch report
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 49 to 50 +1 (up) since launch 26 Oct 2026, then 5 Nov 2026 |
| Trust Flow (Majestic) | 14 first measured 26 Oct 2026 |
| Referring domains (Majestic) | 313 first measured 26 Oct 2026 |
Day 11 since launch. Next receipt: day 30, 25 Nov 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.
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Buyer questions
What does the Machine Relations Skill help you accomplish?
The skill helps turn an authority question into actionable moves by providing an evidence-backed decision, a usable pitch or work draft, and separate checks for execution and outcome. It works in AI assistants that support skills and uses your supplied evidence plus available research tools, paired with the Machine Relations Index to research which source domains AI engines cite.
How is the Machine Relations Skill licensed and what can you do with it?
The skill is published under the MIT open-source license, and the MRI data uses CC BY 4.0 licensing with attribution. The plugin contains the broader Machine Relations skill alongside MRI research and is available through Claude Code, Codex, ChatGPT and Claude directory listings, plus MCP and REST API access for developers.
What limitations does the Machine Relations Index have in measuring AI citations?
The Index supplies public category and source evidence with its release, sample and interpretation limits, and it does not measure an individual client's unprompted recommendation rate or prove that buying a placement changes an answer. Missing observations do not prove a domain is never cited, rates are not promises of future performance, and measured association does not establish causation.
How can you get technical support for the Machine Relations Skill?
Email support@machinerelations.ai for help with the Machine Relations Index, API, MCP connection or plugin. Include the client you use, the public endpoint or page URL, the time of the problem and the error message. For corrections, include the canonical URL, the disputed statement or data point and a supporting source.
What relationship does Machine Relations Skill have to AuthorityTech?
Machine Relations is the discipline of earning AI citations published by machinerelations.ai, the public research initiative. AuthorityTech, founded by Jaxon Parrott in 2018, is the first Machine Relations agency that applies the discipline commercially. AuthorityTech owns and operates machinerelations.ai and its publishing infrastructure, but the Machine Relations discipline itself is not an AuthorityTech product and is open to anyone.
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