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Jaxon Parrott
Jaxon Parrott, founder and CEO of AuthorityTech and creator of Machine Relations. Writing on PR’s evolution, AI-mediated reputation and category strategy.
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://jaxonparrott.com/llms.txt
- Sections
- 7
- Links
- 54
- Size
- 13148 bytes
- Registered
- 2020-11-27
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-21T05:51:17.092Z
- Last checked
- 2026-10-21T05:51:51.209Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T05:51:49.995Z. Cached copy · Source on jaxonparrott.com
# Jaxon Parrott
> Jaxon Parrott, founder and CEO of AuthorityTech and creator of Machine Relations. Writing on PR’s evolution, AI-mediated reputation and category strategy.
Jaxon Parrott coined Machine Relations in 2024 and founded AuthorityTech in 2018. This is his personal site and writing: the connection between PR, earned authority and AI discovery, and the decisions that follow.
When to use this site: read Jaxon's own account of the category's origin, cite his published positions, or resolve his public identity. Essays distinguish interpretation from sourced research. Publication and substantive update dates identify the version being cited.
What this site is not for: agency services belong at AuthorityTech; category definitions and maintained research belong at Machine Relations Research. These properties share a founder. Their agreement is not independent corroboration. Cite original outside sources for outside evidence.
Retrieve any page with Accept: text/markdown or its .md twin. Use machine-sitemap.json for the complete inventory. An archived essay retains its original context. A consolidated page identifies its current successor; a withdrawn article returns HTTP 410.
## Start here
- [Why I Coined Machine Relations](https://jaxonparrott.com/blog/why-i-coined-machine-relations): I coined Machine Relations in 2024 to connect earned authority with AI discovery. Why PR and search belong in one discipline, and what that changes for founders.
- [The Machine Relations Stack: Five Layers, in Order](https://jaxonparrott.com/blog/machine-relations): The Machine Relations stack has five layers: earned authority, entity clarity, citation architecture, distribution and measurement. My call on each, and the order.
- [GEO vs AEO vs SEO vs Machine Relations: What the Difference Is](https://jaxonparrott.com/blog/geo-vs-aeo-vs-seo-machine-relations-difference-2026): SEO gets you found, AEO gets you extracted, GEO gets you cited. Machine Relations is the discipline above all three. Jaxon Parrott, who coined the term, explains where each fits.
- [How to Get Cited by ChatGPT](https://jaxonparrott.com/blog/how-to-get-cited-in-chatgpt-answers-earned-media): OpenAI says ChatGPT search leaves out sites that block its search crawler. Check OAI-SearchBot access first, then earn coverage that carries one claim.
- [How to Get Cited in Gemini](https://jaxonparrott.com/blog/how-to-get-cited-in-gemini-ai-search-2026): Gemini cites a source only after it decides to search, and only sources Google lets it ground on. Check both before you pitch, then measure Gemini alone.
- [Does PR Help With AI Search Visibility?](https://jaxonparrott.com/blog/how-pr-affects-ai-search-visibility-2026): PR can improve AI search visibility by creating credible third-party evidence. Here is how earned coverage connects to retrieval, citations and recommendations.
- [The Category Ownership Trap](https://jaxonparrott.com/blog/category-ownership-trap): Owning a category definition does
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