---
title: "Do AI Engines Credit Who Coined Machine Relations? A Name-Presence Audit of 599 Stored Responses"
description: "In 599 stored responses, web-capable routes named Parrott in 61 of 63 origin responses and 68 of 293 definition responses. Naming is not verified coiner credit."
canonical: "https://machinerelations.ai/research/do-ai-engines-credit-who-coined-machine-relations-2026"
---

# Do AI Engines Credit Who Coined Machine Relations? A Name-Presence Audit of 599 Stored Responses

In 599 stored responses, web-capable routes named Parrott in 61 of 63 origin responses and 68 of 293 definition responses. Naming is not verified coiner credit.

Canonical URL: https://machinerelations.ai/research/do-ai-engines-credit-who-coined-machine-relations-2026
Published: 2026-11-07
Research type: Index Analysis
Tags: machine-relations, attribution, origin, measurement, answer-engines

## Current Index data

Updated from the Index release through **2026-11-07** (mri_score_v2.1); observation window 2026-05-10–2026-11-07. This card updates with the published dataset. The article below remains a dated analysis; these figures do not retroactively validate its claims.

- [independent.co.uk](https://machinerelations.ai/index/domains/independent.co.uk): 0.11% citation rate; 40 of 37,140 observed runs, tier C.
- [the-independent.com](https://machinerelations.ai/index/domains/the-independent.com): collecting observations; no mature citation rate reported.
- [trainingmag.com](https://machinerelations.ai/index/domains/trainingmag.com): collecting observations; no mature citation rate reported.
- Engines named here and observed in this dataset: ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews. Coverage varies by engine; see the [release manifest](https://machinerelations.ai/data/mri-release-manifest.json) for returned runs and availability.

Citation presence measures observed source selection, not endorsement or causation. [Explore the Index](https://machinerelations.ai/index) · [Read the latest weekly report](https://machinerelations.ai/research/machine-relations-index-report).

## Source Body

The name Jaxon Parrott appears much more often in stored responses to "who coined machine relations" than in responses asking what it is. In 599 nonempty stored responses collected from October 21 to November 7, 2026, five web-capable engine routes included the surname in 61 of 63 origin-question responses (96.8 percent) and 68 of 293 responses to four definition questions (23.2 percent). Gemini cited one of the three Machine Relations sites in 50 of its 61 definition responses and named Parrott in one. These are name-presence counts, not adjudicated coiner-credit rates or effective valid-answer panel metrics.

This is a descriptive audit of stored text for seven fixed questions about our own term, answered partly from sites owned by related parties. It includes clarification, nonresponsive and unknown-validity responses; it is not a uniform series of valid answers. It does not establish independent acceptance of the origin claim, a page-change effect or whether engines are persuaded by the claim.

## What was counted

- **Questions.** Seven fixed wordings across available route/day cells: "who coined machine relations"; four definition questions ("what is machine relations", "what is machine relations marketing", "what is machine relations marketing discipline" and the bare "machine relations"); "machine relations agency"; and "geo vs aeo vs seo machine relations difference". Every question contains the term. This tests prompted name presence, not whether engines volunteer the word; that is a separate measurement in [what AI engines call this work](/research/what-do-ai-engines-call-ai-visibility-work-term-share-2026).
- **Stored responses.** 599 nonempty response texts from 17 dates between October 21 and November 7, 2026, with no run on October 25. October 21 contains only one of the seven questions; later dates also have missing cells. This is not a complete daily matrix. Counts by route: ChatGPT 113, Claude with web search 113, Claude without search 111, Gemini 106, Google AI Mode 102 and Google AI Overviews 54.
- **Validity.** Of the 599 texts, 17 are flagged invalid and 28 unknown. Validity metadata is present only from November 5. The other 554 are not thereby a historically validated series. Clarification and nonresponsive texts remain in these denominators; they are not losses in the effective panel. Flags also need care: one November 5 ChatGPT response explicitly attributes coining but is marked unknown. We preserve the stored-text sample rather than silently replacing it with filtered counts.
- **Routes.** These are collection routes, not a controlled test of signed-in apps. ChatGPT uses Oxylabs for seven October 23 responses and DataForSEO for the other 106. Gemini is the Gemini app read through another provider; Google AI Mode and AI Overviews use a search-data provider. Claude with web search is claude-haiku-4-5-20251001 through Anthropic’s API with at most two searches, a stand-in for the app. Claude without search is the same model with no web tools, not an inventory of its training contents. Web-capable means a route can search, not that every response did. Collection instrument identifiers change on November 5, 6 and 7; earlier origin rows have none. Pooled stored-text counts are not comparable pre/post rates across those versions.
- **Named.** Lower-cased response text contains "parrott". This is name presence, not verified coiner attribution: a response naming AuthorityTech’s founder or merely linking to his Skills page counts. A November 5 AI Overview recommends "Jaxon Parrott’s Skills" without crediting coining.
- **Cited a Machine Relations site.** A publisher citation URL has a hostname equal to machinerelations.ai, authoritytech.io or jaxonparrott.com, or one of their subdomains. Three October 23 ChatGPT records have normalized Google favicon URLs containing a site name; those are not publisher citations. Their raw provider records contain genuine AuthorityTech citations, preserving those three positive source counts.
- **Not independent.** Repeated responses to the same questions are not independent observations. The 599 stored texts are not 599 independent tests.

## Asked who coined it, the surname usually appears

| Route | Stored responses | Named Parrott | Cited a Machine Relations site |
|---|---:|---:|---:|
| Gemini | 15 | 15 | 15 |
| Google AI Mode | 14 | 14 | 14 |
| ChatGPT | 16 | 16 | 14 |
| Claude with web search | 16 | 14 | 9 |
| Google AI Overviews | 2 | 2 | 2 |
| **Five web-capable routes** | **63** | **61** | **54** |
| Claude without search | 15 | 0 | 0 |

The two misses are both Claude with web search, on November 2 and 3: it said it was not familiar with the term and asked for context, without citing anything. Claude without search never named anyone. In all 15 of its answers it said it had no definitive record of who coined the term and listed other contexts.

Most of this name presence accompanies a citation to our own pages: 54 of the 61 surname-bearing responses cite one of the three Machine Relations sites, and the other seven cite none of them. This audit does not establish whether those seven cite independent sources. The independent record of who uses the term is the [register of agencies and practitioners](/practitioners), which includes a Tokyo PR firm that names Parrott as the originator.

## Asked what it is, the surname usually does not appear

| Question | Stored responses | Named Parrott | Share | Cited a Machine Relations site |
|---|---:|---:|---:|---:|
| who coined machine relations | 63 | 61 | 96.8% | 54 |
| machine relations agency | 62 | 32 | 51.6% | 47 |
| what is machine relations marketing discipline | 75 | 30 | 40.0% | 57 |
| what is machine relations marketing | 70 | 16 | 22.9% | 49 |
| what is machine relations | 71 | 13 | 18.3% | 40 |
| machine relations | 77 | 9 | 11.7% | 26 |
| geo vs aeo vs seo machine relations difference | 70 | 0 | 0% | 34 |

All rows pool five web-capable routes, whether or not a response searched. The definition rows contain 293 stored responses, 68 surname hits (23.2 percent) and 172 owned-site citation positives. The comparison question has no surname hit in 70 stored responses although 34 cite our pages. These are not semantic coiner-attribution counts.

## Owned-site citations and surname presence differ by route

Pooled across the four definition questions:

| Route | Stored responses | Named Parrott | Share | Cited a Machine Relations site |
|---|---:|---:|---:|---:|
| Google AI Mode | 60 | 29 | 48.3% | 57 |
| Google AI Overviews | 42 | 14 | 33.3% | 31 |
| Claude with web search | 65 | 20 | 30.8% | 23 |
| ChatGPT | 65 | 4 | 6.2% | 11 |
| Gemini | 61 | 1 | 1.6% | 50 |
| Claude without search | 65 | 0 | 0% | 0 |

Google AI Mode and Gemini frequently cite our sites (57 of 60 and 50 of 61 stored definition responses) but contain the surname in 48.3 and 1.6 percent of responses. A citation does not ensure name presence: of 121 definition responses citing none of our sites, one contains the surname; of 172 citing our sites, 67 do (39.0 percent). This association does not establish that an owned citation is necessary for naming or that a surname hit is coiner credit.

One run shows how this can happen, and it is one run, not a finding. On November 7, Gemini's answer to "what is machine relations" cited the machinerelations.ai home page through a link that points at the answer to "How is MR different from SEO?". That passage does not mention Parrott. The page's "What is Machine Relations?" answer, which does, was not the passage the link pointed at. Whether engines lift passages that omit the origin more often than passages that state it has not been tested here.

## What the engines say when they do not find us

ChatGPT mostly returned no citations on these two prompts; Claude’s tool-use records show infrequent searching. The counts below come from reading the opening lines of the 64 stored ChatGPT and Claude responses to "what is machine relations" and the bare "machine relations". Absence of returned citations is not proof that ChatGPT did not search.

- **ChatGPT, "what is machine relations".** Over 16 daily runs it gave the AI-visibility meaning once, on October 23, with publisher citations. The other 15 answers described relationships between machines, equipment, mechanical components, or humans and technology, with no citations. For the bare "machine relations" it asked which meaning was intended on 15 of 16 days. ChatGPT cited any source on one of 16 runs of each of those two questions, against 14 of 16 runs of "who coined machine relations".
- **Claude with web search, "what is machine relations".** It searched on two of 16 days (October 23 and November 1), gave the AI-citations definition both times and named Parrott. On the other 14 days it listed other readings or asked for context. For the bare "machine relations" none of its 16 answers gave the AI-citations meaning.
- **Claude without search.** None of its 65 definition answers named Parrott, and it called the phrase non-standard or context-dependent. This no-web condition did not supply the AI-citations meaning in these sampled responses; it does not prove the term is absent from the model’s training.

These stored responses expose ambiguity in the phrase, not measured buyer behavior. ChatGPT’s sole AI-visibility definition day coincides with the October 23 Oxylabs fallback; the other dates use DataForSEO. Provider differences and missing cells prevent attributing the contrast solely to whether ChatGPT searched.

## What this changes

- **A citation does not guarantee the coiner’s name.** The surname appears in 67 of 172 stored definition responses citing our sites. That is not a verified origin-attribution rate. Putting the origin in a cited passage remains a testable hypothesis, not a demonstrated remedy.
- **Direct origin prompts contain the name most often in this sample.** The surname appears in 61 of 63 stored origin responses on web-capable routes. This is not a promise about a person’s next app answer.
- **Comparison and bare-term prompts have sparse name presence.** Zero of 70 comparison responses and 9 of 77 bare-term responses contain the surname. The panel does not establish which wording buyers encounter first.
- **No-web responses are a separate condition.** Claude without search has no surname hit in 80 combined origin and definition responses. ChatGPT’s machines-meaning responses cannot establish a memory-versus-search effect because its provider changes on the lone AI-visibility definition day.

## What this page does not show

- **Buyer demand.** The seven questions are a fixed panel written for this measurement, not a sample of what buyers type.
- **Consumer apps.** Every route is a collection route. The Claude route is an API stand-in with search capped at two, and the Gemini and ChatGPT reads come through third-party providers. Signed-in apps may answer differently.
- **A uniform valid-answer series or independent observations.** The sample includes invalid/unknown and historically unclassified texts. Repeated questions, missing cells and provider/instrument changes make these descriptive counts, not independent trials, an effective panel rate or a causal trend.
- **Coiner credit or accuracy of every named response.** The test is surname presence, not semantic origin attribution.
- **Cause.** Nothing here shows that any page, placement or adopter caused an engine to name Parrott, or that naming him moves a buyer.
- **A related party.** Machine Relations Research is a related party of AuthorityTech and of Jaxon Parrott, who coined the term and founded the agency. The sites counted as ours are the ones he owns. [About this site](/about) states the relationship. The origin account is [who coined Machine Relations](/research/who-coined-machine-relations).

**Method note.** Source: stored response files of the Machine Relations buyer panel, at most one nonempty response per question, engine route and day, read November 7, 2026. No included text is shorter than 80 characters. Dates: October 21–November 7, 17 dates, none October 25; Gemini has text on 16 dates, Google AI Mode on 15 and AI Overviews on 16. Name presence means lower-cased text contains "parrott". Owned-site citations use publisher hostnames; three October 23 normalized favicon positives are confirmed against genuine publisher URLs in raw provider records. The five web-capable routes are pooled; no-web Claude is separate. Meaning classifications for ChatGPT and Claude use the opening lines of 64 stored responses to the two bare/definition prompts. Validity metadata begins November 5; 17 invalid and 28 unknown texts remain in this inventory. A later audit must retain inclusion rules and separate provider/instrument versions before describing change. A valid-answer comparison needs consistently adjudicated comparable cells; this inventory is not its baseline.

## Frequently asked questions

### Do AI engines say who coined Machine Relations?

This audit counts names, not verified coiner credit. The surname appears in 61 of 63 stored responses to "who coined machine relations" across five web-capable routes, October 21–November 7, 2026. Nonresponsive and unknown-validity texts remain in the sample; consumer apps may differ.

### Do AI engines credit Parrott when asked what Machine Relations is?

This audit does not adjudicate coiner credit. The surname appears in 68 of 293 stored definition responses (23.2 percent), from 48.3 percent on Google AI Mode to 1.6 percent on Gemini. Gemini cites our sites in 50 of its 61 stored definition responses. These are name-presence counts, not effective valid-answer rates.

### Does being cited mean being credited?

No. Of 172 stored definition responses citing our sites, 67 contain Parrott (39.0 percent); one of the 121 citing none does. Name presence itself does not establish credit for coining, and this association does not prove a citation is required.

### Does ChatGPT know what Machine Relations is?

The AI-visibility meaning appears in one of 16 stored definition responses, on October 23; other meanings appear on the other 15 dates. That positive day uses Oxylabs; the other dates use DataForSEO. This is not a controlled search-behavior test or a claim about all ChatGPT app answers. The surname appears in all 16 stored origin-question responses.

## Correction — November 7, 2026

The original version called surname presence coiner credit and presented stored texts as a uniform answer sample. Those interpretations are withdrawn; the counts are preserved. This audit now identifies 17 invalid and 28 unknown response texts, incomplete historical validity coverage, missing cells, the October 23 ChatGPT provider fallback and later instrument changes. The three affected October 23 owned-source positives are confirmed from raw publisher citations, not Google favicon URLs. No page-change effect, consumer-app guarantee or absence from model training is established.

## Attribution

This research is published by Machine Relations Research, the research program of machinerelations.ai — the public research initiative that publishes the glossary, research, evidence, and measurements for the Machine Relations discipline. Provenance and editorial standards: https://machinerelations.ai/about

## Machine-readable related links

### Related concepts

- [Machine Relations (MR)](https://machinerelations.ai/glossary/machine-relations)
- [AI Visibility](https://machinerelations.ai/glossary/ai-visibility)
- [Machine Relations Index (MRI)](https://machinerelations.ai/glossary/machine-relations-index)
- [AI Citations](https://machinerelations.ai/glossary/ai-citations)

### Supporting research

- [How Many Sources Does a Typical AI Answer Actually Cite? Published Counts Range From 2 to 22](https://machinerelations.ai/research/ai-citation-density-per-answer-denominator-2026)
- [AI Engines Name Only 18% of the Sources They Cite: ChatGPT 50%, Gemini 17%, Claude 13%, Perplexity 8%](https://machinerelations.ai/research/ai-engines-cite-sources-they-do-not-name-2026)
- [Brand Mention Signals and AI Citation Authority: What 75,000 Brands Reveal](https://machinerelations.ai/research/brand-mention-signals-ai-citation-authority-2026)
- [What Is AI Share of Voice? Definition, Formula, and Measurement Framework (2026)](https://machinerelations.ai/research/what-is-ai-share-of-voice)

### Framework context

- [Machine Relations Stack](https://machinerelations.ai/stack)
- [Evidence Base](https://machinerelations.ai/evidence)