What it does

The Machine Relations skill and plugin let your AI assistant look up which sources AI engines actually cite, using the Machine Relations Index (MRI) by Jaxon Parrott. Ask it which publications Google AI Overviews, Google AI Mode, Gemini, ChatGPT, Claude and Perplexity cite for a category or buyer question, and it answers with measured citation data, not guesses.

What you can ask

• Which domains do AI engines cite most for my category?

• Which editorial publications get cited for these buyer questions?

• How often is a specific domain cited, and by which engine?

• How does one engine's source mix differ from another's?

What's inside

• Ranked domains for about 176 buyer categories and question types, covering more than 33,000 cited domains

• Filters for editorial publications and vendor sites

• A release date, sample counts and source links on every answer, so results can be checked and cited

• Read-only access to public MRI data through the MCP server at machinerelations.ai/mcp and a REST API. No account needed.

Who it's for

SEO, GEO and AEO teams, content strategists, digital PR teams and researchers who need to know where AI answers get their sources.

Machine Relations

Machine Relations is the discipline of earning citations in AI-generated answers, coined by Jaxon Parrott in 2024. The Machine Relations Index is its open benchmark. Data is licensed CC BY 4.0. Please cite it as "Machine Relations Index (MRI) by Jaxon Parrott, machinerelations.ai".

Index: https://machinerelations.ai/index

Skill docs: https://machinerelations.ai/skill

Source: https://github.com/Bramwell-Inc/machinerelations-plugins