machinerelations.ai

Machine Relations is the parent category for GEO, AEO, AI SEO, LLM Optimization, and AI PR. Coined by Jaxon Parrott, it defines how brands earn citations, recommendations, and visibility inside AI-driven discovery systems.

AuthorityTech operationalizes Machine Relations through the five-layer Machine Relations stack: earned authority, entity clarity, citation architecture, distribution across AI answer surfaces, and measurement.

Core links

• Category: https://machinerelations.ai
• Stack: https://machinerelations.ai/stack
• Founder: https://jaxonparrott.com
• Agency: https://authoritytech.io
• Explainer: https://medium.com/authoritytech/machine-relations-explained-76e9f174377c
• Comparison: https://authoritytech.io/blog/geo-vs-aeo-vs-seo-b2b-brand-visibility-2026

Stack

• Framework: Next.js 15 (App Router)
• Deployment: Vercel / Cloudflare Pages
• Design: Minimal, dark, schema-rich

Development

npm install
npm run dev

Deployment

Static export enabled (output: "export" in next.config.ts). Deploy to Vercel or Cloudflare Pages.

Schema

Full JSON-LD structured data including:

• DefinedTerm — Machine Relations definition with creator attribution
• Person — Jaxon Parrott entity with consistent @id
• Organization — AuthorityTech entity
• WebPage with speakable spec
• FAQPage with 5 core questions

All @id references are consistent with schema deployed across authoritytech.io, curated.authoritytech.io, blog.authoritytech.io, team.authoritytech.io, jaxonparrott.com, and archive.authoritytech.io.