Research

Top Publications AI Engines Cite for Healthtech Companies (2026)

Measured on the Machine Relations Index Healthcare Services category. Rates are reported per question shape, each on its own run denominator; there is no single pooled healthtech rate. In news-driven queries NIH is cited in 25.12% of 613 runs and Fierce Healthcare in 19.09%; in tool, top-list and buying queries OmniMD leads (up to 32.71% of 107 runs). TechCrunch is observed in one Healthcare Services shape at rank 576 of 1,264.

Published Machine Relations Research
Study
TopicsMachine RelationsAI SearchCitationsHealthtechPublicationsEarned Media

Summary: When you ask an AI engine a healthtech question, which publications it cites depends entirely on what kind of question you ask. Measured on the Machine Relations Index Healthcare Services category — each question shape kept on its own run denominator, never pooled — NIH and Fierce Healthcare dominate news-driven queries (cited in 25.12% and 19.09% of 613 runs), while OmniMD dominates tool, top-list and buying queries (up to 32.71% of 107 runs). General-technology outlets such as TechCrunch, PR Newswire and TechBullion are largely absent from healthcare-services answers. There is no single "healthtech citation rate."

When a buyer, investor, or journalist asks an AI engine about healthtech, the engine reaches for what it already trusts — but what it reaches for changes completely with the shape of the question. A "best tools" question and a "what's the news" question in the same category return almost entirely different publications. That is the finding a single pooled leaderboard hides, and it is the finding the Machine Relations Index makes visible.

What replaced the vertical, and why per shape #

There is no "healthtech" category in the Machine Relations Index. The nearest measured category is Healthcare Services, and its public category page refuses to pool citation rates across question shapes — because a source cited in a quarter of breaking-news answers may be cited in almost none of the "which tool is best" answers, and averaging the two would describe no real query. So this page reports each shape on its own denominator, exactly as the Index publishes it. A rate here always reads as cited runs ÷ observed runs for that one shape.

All figures below are read from release mri_score_v2.0+2026-09-20+47973f373a20 (window 2026-05-10 to 2026-09-20, 16,039 monitored answer runs) at the public per-domain and per-segment pages under https://machinerelations.ai/index/, which any reader can open and check.

News-driven healthtech queries (613 runs, 53 dates) #

This is the largest shape by far, and it is where editorial publications actually earn their place. When engines answer news-shaped healthtech questions, they lean on government research and healthcare trade press, not general-technology outlets.

Rank Publication Source role Cited runs / 613 Rate Monitored engines observing
1 NIH (evidence) Academic and government 154 25.12% 6 of 6
2 Fierce Healthcare (evidence) Editorial publication 117 19.09% 6 of 6
7 Healthcare Dive (evidence) Editorial publication 43 7.01% 6 of 6
13 Becker's Hospital Review (evidence) Editorial publication 35 5.71% 6 of 6
14 MedCity News (evidence) Editorial publication 33 5.38% 6 of 6
47 Forbes (evidence) Editorial publication 15 2.45% —
49 Medium (evidence) Editorial publication 15 2.45% —
576 TechCrunch (evidence) Editorial publication 2 0.33% —

NIH is the single most-cited source in this shape, ranked 1 of 1,264 observed domains, and it is cited by all six monitored engines. Fierce Healthcare is the most-cited editorial publication, ranked 2 of 1,264 in the shape and 2 of 1,230 classified editorial publications; it too is cited by all six engines. The last row is the instructive one: TechCrunch is observed in only one Healthcare Services shape — this one — at rank 576 of 1,264, cited in 2 of 613 runs. Its 164 citations across the whole Index (rank 9 of 1,230 editorial publications) are real, but they concentrate in general-tech news, martech and cybersecurity, not healthcare.

How to read the editorial-class rank. The editorial-class ranks on this page are read off the Machine Relations Index's source_role field, which in the current release combines source-type evidence with AuthorityTech's placement catalog; 96 of the 1,231 class members are admitted through the catalog, and the Index is moving editorial classification to source-type evidence alone. The class currently includes six platform domains alongside edited newsrooms: medium.com (class rank 1), amazon.com (7), prnewswire.com (8), apple.com (16), wordpress.com (239) and blogspot.com (330). At the same time substack.com, beehiiv.com and dev.to — the same hosted open-publishing product as Medium — are filed as community platforms. Those six hold 1,358 of the editorial class's 13,525 cited runs, 10.04%, and they include the class's top slot. The class denominator also moves between releases (published figures carry 1,025 to 1,230) because it counts the domains classified in each release. What is unaffected: citation rates, cited runs, days cited, the number of distinct engines observed citing the domain and confidence are direct per-domain observations over a fixed run set, and are the primary measure; read the rate first.

Tool, top-list and buying queries (107–108 runs each, 7 dates) #

Ask "which tool is best," "top platforms," "how do buyers choose," or "is it worth it," and the leaderboard changes completely. Here a healthcare-IT trade publication, OmniMD, leads three of the four commercial shapes, and government research leads the fourth.

Question shape Denominator Leading publication Cited runs Rate Rank in shape
Best tools 107 OmniMD (evidence) 35 32.71% 1 of 199
Top lists 102 OmniMD 25 24.51% 1 of 223
How buyers choose 107 OmniMD 16 14.95% 1 of 214
Is it worth it 107 NIH 28 26.17% 1 of 216
Problem-first research 108 NIH 7 6.48% 9 of 251

OmniMD is cited in roughly a third of "best tools" runs and a quarter of "top lists" runs, yet across all 16,039 monitored runs its overall citation rate is 0.65% (104 runs) — a domain that is decisive inside a narrow set of commercial healthcare-IT questions and near-invisible everywhere else. That is exactly the signal a single pooled "healthtech rate" would have destroyed.

Two editorial publications worth naming in these shapes: Becker's Hospital Review is cited in 13 of 107 "best tools" runs (12.15%, rank 9 of 199), and in the "is it worth it" shape STAT News is cited in 13 of 107 runs (12.15%, rank 5 of 216). STAT News is a useful illustration of why shape matters: it ranks fifth inside that one buying-question shape, but across all 16,039 monitored runs it is cited in only 26 (0.16%) and its overall standing is still collecting — below the release's confidence floor. Published inside a shape, collecting overall; both are true, and only reporting per shape keeps them from contradicting each other.

Comparisons: collecting, no rank published #

The "X vs Y" comparison shape for Healthcare Services has 96 observed runs across only 5 dates. The release floor is 10 runs and 7 dates, so the Index publishes no mature rate, rank, or winner for this shape yet — it is marked collecting observations. This page does the same: no comparison ranking is claimed until the shape matures. The most-observed source so far, adsc.com, is a vendor site, not a publication, which is itself a reason not to publish a ranking prematurely.

What this means for healthtech companies #

Match the outlet to the question you want to win. If you want to appear when an engine answers breaking healthtech news, the earned-media targets that get cited most often are healthcare trade press — Fierce Healthcare, Healthcare Dive, Becker's Hospital Review and MedCity News among them — plus primary sources like NIH. Treat that as the head of a list, not the list: in Healthcare Services the ten most-cited domains hold 10.56% of the category's citations and reaching half of them takes 214 distinct domains (Machine Relations Index, release mri_score_v2.0+2026-09-23+fdec6388001a). If you want to appear when an engine answers which tool is best or top platforms, the cited sources are healthcare-IT category publications and directories, a different list entirely. A Forbes or TechCrunch placement, valuable as it is for a general-technology story, is a weak instrument for healthcare-services answers specifically: both sit far down every Healthcare Services shape, and TechCrunch surfaces in only one.

Stop buying a single number. A single top-ten list of healthtech outlets is not a distribution plan. The measured map has no single ranking — it has one ranking per question shape, and the outlets that win each are mostly different.

This is the discipline of Machine Relations: building the earned-media record that makes a company legible to AI engines for the specific questions its buyers actually ask — measured as an observed citation rate on a stated denominator, not a cumulative count.

Methodology and sources #

This ranking is measured against Machine Relations Index release mri_score_v2.0+2026-09-20+47973f373a20, generated 2026-09-20 over an observation window of 2026-05-10 to 2026-09-20, methodology mri_score_v2.0, artifact 47973f373a20, across 16,039 monitored answer runs. The methodology reports, for each source domain, how many monitored answer runs cited it, out of how many runs were observed for that exact category-and-question-shape segment, and how many of the six monitored engines (ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews, Perplexity) cited it at all. Rates are never pooled across question shapes: each figure above is a segment rate on that segment's own denominator, read from the public per-segment leaderboards at https://machinerelations.ai/index/categories/healthcare-services/<shape> and the per-domain profiles at https://machinerelations.ai/index/domains/<domain>, which are the same pages any reader can open and verify. A citation is an observed root-domain reference in a monitored answer; it does not prove the engine relied on the source, and it does not measure website traffic or commercial outcomes. Segments below the release floor of 10 runs and 7 dates are reported as collecting, without a rank.

Frequently asked questions #

Which publication do AI engines cite most for healthtech? #

It depends on the question. For news-shaped healthtech queries, NIH (cited in 25.12% of 613 runs) and Fierce Healthcare (19.09%) lead. For "best tools," "top lists" and "how buyers choose" queries, OmniMD leads (up to 32.71% of 107 runs). There is no single answer because there is no single healthtech question.

Where does TechCrunch actually rank for healthtech? #

TechCrunch is observed in one Healthcare Services shape — news-driven citations — at rank 576 of 1,264, cited in 2 of 613 runs (0.33%). Across the whole Index it ranks 9 of 1,230 classified editorial publications (cited in 1.02% of all 16,039 runs), but those citations concentrate in general-technology news, martech and cybersecurity, not healthcare.

Why doesn't this page publish one "healthtech citation rate"? #

Because the Machine Relations Index Healthcare Services category refuses to pool rates across question shapes, and for good reason: a source cited in a quarter of breaking-news answers can be cited in almost none of the "best tool" answers. A single averaged rate would describe no real query a buyer ever types.

Updated 2026-09-23: figures reflect the current Machine Relations Index methodology; see the MRI methodology and update log.

Attribution #

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

Supporting research #

Framework context #