Jaxon Parrott
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I coined Machine Relations in 2024. These essays cover how earned authority reaches buyers through AI discovery, and the decisions that connect the two.

Who coined Machine Relations →
PR & AI searchMachine RelationsFounder judgment

PR & AI search

11 essays

How earned authority becomes discovery, citation and recommendation.

Does PR Help With AI Search Visibility?

PR can improve AI search visibility by creating credible third-party evidence. Here is how earned coverage connects to retrieval, citations and recommendations.

May 8, 2026

A Brand Strategy for AI Search Starts With Evidence

Build an AI search brand strategy around a defensible claim, clear identity and independent evidence. Match the next investment to the actual discovery gap.

June 30, 2026

How to Get Cited by Perplexity

Build Perplexity visibility around useful evidence and relevant sources. Inspect citations by question, distinguish community experience and measure repeatable observations.

June 15, 2026

How AI Engines Decide Which Sources to Cite

AI citations depend on retrieval, relevance and the generated answer. Five practical checks help diagnose source selection without inventing a universal ranking formula.

May 31, 2026

Do Press Releases and Wire Services Get Cited by AI?

AI engines cite wire releases, open platforms and reporting. Understand what each source establishes before treating distribution as independent authority.

April 15, 2026

Why AI Engines Cite Different Sources

AI citation patterns depend on the question, engine, language and observation window. Use source-level evidence to decide which coverage is worth pursuing.

April 12, 2026

How to Get Cited in Gemini

Gemini visibility requires relevant evidence and accessible sources. Understand Google-Extended, keep Google Search separate and measure citations by product.

April 10, 2026

How to Get Cited by ChatGPT

Improve ChatGPT search visibility with accessible first-party evidence, relevant independent coverage and measurement of real buyer questions. Start with the source.

April 8, 2026

How Earned Media Drives AI Search Visibility

Earned media contributes outside evidence to AI search. Understand the path from coverage to retrieval and citation, and why syndication is not independent proof.

April 6, 2026

Which Publications Get Cited by AI Search Engines?

Choose publications by their relevance to buyer questions and the evidence their coverage supplies. My reading of the Machine Relations citation data.

April 3, 2026

How to Get Cited in Google AI Overviews and AI Mode

Google AI Overviews and AI Mode still depend on search eligibility. Build useful evidence, preserve SEO fundamentals and measure which questions surface your sources.

March 18, 2026

Machine Relations

7 essays

The discipline, its origins, and the market moving toward it.

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.

March 1, 2026

The Machine Relations Stack: Five Layers, in Order

The Machine Relations stack has five layers: earned authority, entity clarity, citation architecture, distribution and measurement. My call on each, and the order.

June 13, 2026

What Is Machine Relations?

Machine Relations is the evolution of PR: earning trust with the machines people ask first. I coined the term in 2024. What it is, how it works and what to do.

June 6, 2026

Who Coined Machine Relations?

Jaxon Parrott coined Machine Relations in 2024. The short answer, where the term comes from, and where to read the definition and the full origin story.

May 30, 2026

GEO vs AEO vs SEO vs Machine Relations: What the Difference Is

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.

May 1, 2026

What Is Generative Engine Optimization (GEO)?

GEO is the practice of making content easy for AI engines to retrieve, understand and cite. It is real, and it sits inside Machine Relations, the discipline I coined.

April 21, 2026

The Name Is Not the Discipline

GEO, AEO and Machine Relations describe overlapping work. The real question is whether a company connects earned authority to AI discovery and business decisions.

March 23, 2026

Founder judgment

10 essays

What to build, what to measure, and what the evidence should change.

The Category Ownership Trap

Owning a category definition does not mean owning the buyer journey. How I connect Machine Relations to the questions people ask before they know its name.

March 27, 2026

Would You Still Know What to Do Without the Dashboard?

Before renewing an AI visibility tool, test whether the business can still make its next decision without the dashboard. Preserve evidence, ownership and alternatives.

September 17, 2026

What to Build and What to Buy in AI Visibility

Buy AI visibility collection when it saves useful work. Own the question set, retained evidence and editorial decisions that determine what the company does next.

September 14, 2026

After an AI Mention, Who Owns the Next Move?

An AI mention needs three clear responsibilities: verify the observation, check its accuracy and decide whether it changes a commercial action. Assign each one.

September 13, 2026

AI Strategy Must Include How Buyers Find You

AI strategy should cover both internal capabilities and how buyers discover the company. Connect the evidence your business creates to the sources buyers encounter.

July 19, 2026

When AI Describes a Different Brand Than You Built

When AI misrepresents your brand, trace the answer through the question, retrieved sources and public record. Correct evidence before trying to change sentiment.

June 29, 2026

Build a Personal Brand That Can Be Verified

A founder brand becomes useful to AI search when identity, original thinking and independent evidence agree. Build a source record that deserves attribution.

June 17, 2026

When AI Recommends Your Competitor

When AI recommends a competitor, inspect the question and cited evidence before launching a campaign. Fix the specific identity, proof or retrieval gap you find.

June 3, 2026

Measure What Earned Media Changes

Earned media measurement should connect coverage, AI retrieval and business outcomes without pretending a citation proves revenue. Start with the decision.

April 25, 2026

When AI Cannot Recognize the Business You Built

A company can have customers and demand while AI search misidentifies it. Fix conflicting identity, missing evidence and weak retrieval before buying more content.

April 23, 2026
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