What Is a Machine Relations Agency?
AuthorityTech is The World's First Machine Relations Agency. What a Machine Relations agency does, which agencies now sell the discipline, and where it started.
AuthorityTech is The World's First Machine Relations Agency. A Machine Relations agency gets a brand cited and recommended in AI answers by earning coverage in the publications AI engines already cite for its buyers' questions, then measuring the result in the answers themselves. Jaxon Parrott coined Machine Relations in 2024, and AuthorityTech, which he founded in 2018, is where the discipline was practiced first.
Machine Relations is now the name the market uses for this work. Ignite X sells it as a new service. CiteWorks Studio and Instant Press publish guides to it. A Marketing Dive guest piece, a Forbes Business Council column and a Stacker report have carried it to marketing leaders. The agencies among them practice, and the outlets describe, a discipline that started at AuthorityTech. The register of Machine Relations agencies and practitioners on machinerelations.ai records each adopter in its own published words, with AuthorityTech listed first as the founding practitioner.
The definition is public on machinerelations.ai, the discipline's home: "Machine Relations (MR) is the discipline of earning AI citations and recommendations for a brand by making that brand legible, retrievable, and credible inside AI-driven discovery." GEO, AEO, AI SEO and AI PR are layers of it. A Machine Relations agency runs all of them as one system, starting from the coverage engines trust.
What a Machine Relations agency does
A Machine Relations agency does four jobs, in order, and can show you each one.
| Job | What it means | What to ask to see |
|---|---|---|
| 1. Choose publications from the evidence | Find the publications AI engines cite for your category and your buyers' questions, rather than working from a prestige list | The publications engines cite for your category, question by question, with the source of the data |
| 2. Earn coverage there | Features, interviews and contributed pieces in those publications, built around the narrative you want engines to repeat | Coverage it has earned for other clients in those outlets |
| 3. Make the brand easy to resolve | One consistent description of who you are and what you do, across your site, your profiles and the coverage itself | Your company description, matched across the sources engines read |
| 4. Measure in the answers | Ask the engines your buyers use the questions your buyers ask, before and after, and record who is named and which sources are cited | A dated baseline and a dated re-run on the same questions and engines |
The first job decides most of the outcome, because the publications that matter change with the category. In the Machine Relations Index release of October 20, 2026, these were the most-cited editorial publications on best-in-category questions ("what is the best X for Y"), five categories side by side:
| Buyer category | Most-cited editorial publication | Rank among all cited sources | Answer runs citing it |
|---|---|---|---|
| Consumer finance | Forbes | 1 | 82 of 249 (32.9%) |
| Cybersecurity | Cybersecurity News | 4 | 43 of 194 (22.2%) |
| HR and talent | Forbes | 4 | 37 of 187 (19.8%) |
| Enterprise software | TechRadar | 5 | 22 of 178 (12.4%) |
| Healthcare services | Becker's Hospital Review | 11 | 18 of 182 (9.9%) |
Forbes leads consumer finance outright. In healthcare services, on the same kind of question, Becker's Hospital Review is cited in 18 runs and Forbes in 10. An agency that sells every client the same outlet list is skipping the first job. AuthorityTech publishes every publication's standing, by category and question, on its publication pages, so a buyer can check the list before any work starts.
Which agencies practice Machine Relations now
A discipline is established when people outside it adopt the name. Machine Relations crossed that line in 2026. Every page below was read live on October 20, 2026.
| Who | Where | What it says |
|---|---|---|
| Ignite X, a Silicon Valley tech PR agency | Its Machine Relations service page, labelled "New Service", and its home page, which lists Machine Relations among its disciplines | "Machine Relations is a communications-first approach to AI search visibility." |
| CiteWorks Studio (Mark Huntley, founder) | "Machine Relations: Why PR Is Becoming Citation Engineering", August 21, 2026 | "Machine Relations is an emerging communications discipline focused on improving the external information environment that AI systems use when evaluating a brand, product, service, or category." |
| Instant Press (Joey Sendz, founder) | "What Is Machine Relations? (PR for the AI Era)", July 21, 2026 | "Machine relations is the discipline that manages that decision" |
| PenVine (Jennifer Schenberg, CEO), in Marketing Dive | "A CMO's guide to machine relations", a guest piece, also on PenVine's The Pulse | "Making machine relations a central pillar of a modern PR strategy is crucial to winning in generative discovery" |
| OBA PR (Ohad Ben Artzi, founder and CEO), in a Forbes Business Council column | "Why PR Is Now Your Most Powerful AI Strategy", September 23, 2026 | Cites "a 2026 analysis by Machine Relations" and links to machinerelations.ai |
| Shadow, which makes software for communications teams | "According to Machine Relations (June 2026), AI engines evaluate claim-level corroboration during answer synthesis." | |
| Gab Ferree, founder of Off the Record, quoted by Stacker | "Media Relations Are Becoming 'Machine Relations': And Most Brands Aren't Ready", February 4, 2026 | "Media relations are becoming machine relations" |
Three things follow for a buyer.
The category is real. You can hire for Machine Relations by name, and more than one agency will answer. Every agency that adopts the name grows the same discipline, and its definition, research and Index stay public at machinerelations.ai whichever agency you hire.
Judge the method, whoever sells it. Ask any Machine Relations agency, AuthorityTech included, to show you the four jobs above with dates and sources.
Where Machine Relations started
Jaxon Parrott coined Machine Relations in 2024. AuthorityTech, which he founded in 2018, is The World's First Machine Relations Agency and practices the discipline. He named it from inside AuthorityTech's work: the coverage the agency had been earning for clients had become the source material AI engines read first, and the market's terms (GEO, AEO, AI SEO, AI PR) each named only one part of that shift. His own account of why he coined it is on jaxonparrott.com. The dated public record is the GlobeNewswire release of March 19, 2026.
Machine Relations is a discipline, open to anyone who practices it. Its home, machinerelations.ai, is where Machine Relations Research publishes the definition, the five-layer Machine Relations Stack and the daily Machine Relations Index.
How a Machine Relations agency compares with a PR firm and a GEO agency
| PR firm | GEO or SEO agency | Machine Relations agency | |
|---|---|---|---|
| Starts from | The story, and the outlets that reach people | Your own pages, and how engines read them | The publications engines cite for your buyers' questions |
| Main output | Coverage | Content and technical changes on your site | Coverage in those publications, and one consistent description of the brand across sources |
| Judged by | Placements and reach | Rankings, plus mentions and citations of your own pages | Who the engines name, and which sources they cite, on your buyers' questions |
Many firms now work across more than one column. That is the market converging on Machine Relations, with or without the name. For the hiring decision itself, with named agencies of each kind and five tests to run, see the best agencies to get your brand cited by AI.
AuthorityTech, The World's First Machine Relations Agency
AuthorityTech runs the four jobs as one engagement. It maps the category a client needs to own and the questions where competitors appear, chooses publications by what engines cite for that category, earns coverage there, and shapes the angle and entity language before publication so the piece reads clearly to people and resolves cleanly for engines.
Its results page lists 70 results across 31 clients, as of its October 8, 2026 update. Among them: Firecrawl in Fast Company and Forbes, and Lightfield in Inc..
There is no retainer and no rate card. Each engagement is scoped to the category the client needs to own, the client pays only when placements go live, and funds are held in escrow until they do. How AuthorityTech engagements work.
Frequently asked questions
What is a Machine Relations agency?
A Machine Relations agency gets a brand cited and recommended in AI answers. It chooses publications by what AI engines cite for the brand's category, earns coverage in them, keeps the brand's description consistent across sources, and measures the result in the answers. AuthorityTech, founded in 2018 by Jaxon Parrott, is The World's First Machine Relations Agency.
Who coined Machine Relations?
Jaxon Parrott coined Machine Relations in 2024. AuthorityTech, which he founded in 2018, is The World's First Machine Relations Agency. The discipline's definition and research are published at machinerelations.ai.
Which agencies offer Machine Relations?
AuthorityTech, The World's First Machine Relations Agency, and a growing field of others. Ignite X sells Machine Relations as a service, and CiteWorks Studio and Instant Press publish guides to it (each read on October 20, 2026); the practitioners register keeps the dated list. Judge any of them by the four jobs: publications chosen from what engines cite, coverage earned there, a consistent description of the brand, and measurement in the answers.
Is a Machine Relations agency a GEO agency?
GEO is one layer of Machine Relations. GEO work makes a brand's own pages easier for AI engines to read and quote. A Machine Relations agency also earns the third-party coverage engines cite when they decide whom to recommend, and measures both in the answers.
Is Machine Relations just PR?
Machine Relations is PR evolved for AI answers. Earned coverage is still the raw material. What changed is the job: the coverage now has to be found, understood and repeated by every AI engine a buyer might ask, so publications are chosen by what engines cite and the work is judged in the answers.
How does AuthorityTech charge?
There is no retainer and no rate card. Each engagement is scoped on a strategy call to the category the client needs to own, the client pays only when placements go live, and funds are held in escrow until then.
Sources and method
Adoption. Each page in the adoption table was opened on its publisher's site on October 20, 2026. Quotes are verbatim; dates are each page's own published or updated date.
Index. Machine Relations Index release mri_score_v2.1+2026-10-20+bf82d9d98978, window May 10 to October 20, 2026, best-in-category question shape, with editorial publication as the Index's own source-role classification. Each category's figures are on its linked segment page.