Machine Relations Index

Consumer Health · Machine Relations Index category

Which sources AI engines cite for Consumer Health questions

Editorial publications earn 58.0% of classified citations in Consumer Health answers (1,951 of 3,365), as of November 2, 2026.

In the November 2026 release of the Machine Relations Index, these are the sources AI answer engines cited most often for each of the 6 Consumer Health question shapes, each ranked on that shape's own observed runs. This category has 6 observed question-shape segments in the current public release. Each segment keeps its own observed-run denominator and dates; this page does not average rates across shapes. Observed runs are answer runs, not questions: every segment repeats a small set of distinct questions across engines and dates, so a run count is not a count of independent questions.

Top sources by question shape

The sources engines cite most, shape by shape

A rate is the share of the shape's observed answer runs that cited the source; rank is the source's place on that shape's full leaderboard.

Best tools

Example pattern: best consumer health tools. 273 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 436HealthlineEditorial publication40.66%111 of 273
#2 of 436Sleepfoundation.orgAcademic and government source24.91%68 of 273
#3 of 436Yahoo NewsEditorial publication19.41%53 of 273
#4 of 436YouTubeSearch or media platform19.05%52 of 273
#5 of 436Healthcentral.comOther observed source18.68%51 of 273

Full Best tools leaderboard, 436 sources

How buyers choose

Example pattern: how to choose consumer health tools. 272 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 484NIHAcademic and government source20.96%57 of 272
#2 of 484HealthlineEditorial publication17.28%47 of 272
#3 of 484YouTubeSearch or media platform15.44%42 of 272
#4 of 484Optibacprobiotics.comOther observed source12.13%33 of 272
#5 of 484WebMDEditorial publication12.13%33 of 272

Full How buyers choose leaderboard, 484 sources

Is it worth it

Example pattern: is consumer health software worth it. 272 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 302Uclahealth.orgOther observed source30.51%83 of 272
#2 of 302NIHAcademic and government source29.78%81 of 272
#3 of 302HealthlineEditorial publication28.68%78 of 272
#4 of 302Harvard.eduAcademic and government source26.84%73 of 272
#5 of 302WebMDEditorial publication24.26%66 of 272

Full Is it worth it leaderboard, 302 sources

Problem-first research

Example pattern: how to solve consumer health problems. 272 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 285Clevelandclinic.orgAcademic and government source31.62%86 of 272
#2 of 285Mayoclinic.orgOther observed source26.47%72 of 272
#3 of 285HealthlineEditorial publication22.06%60 of 272
#4 of 285Ubiehealth.comOther observed source20.59%56 of 272
#5 of 285Nhs.ukOther observed source18.38%50 of 272

Full Problem-first research leaderboard, 285 sources

Top lists

Example pattern: top consumer health platforms. 273 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 512Thefeed.comOther observed source24.18%66 of 273
#2 of 512ForbesEditorial publication23.44%64 of 273
#3 of 512HealthlineEditorial publication19.41%53 of 273
#4 of 512Garage Gym ReviewsOther observed source13.55%37 of 273
#5 of 512Yahoo NewsEditorial publication13.55%37 of 273

Full Top lists leaderboard, 512 sources

Comparisons

Example pattern: consumer health platform A vs B. 274 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 292HealthlineEditorial publication24.82%68 of 274
#2 of 292YouTubeSearch or media platform22.99%63 of 274
#3 of 292Nutrisparc.comOther observed source17.52%48 of 274
#4 of 292Medical News TodayEditorial publication15.69%43 of 274
#5 of 292Cymbiotika.comOther observed source14.96%41 of 274

Full Comparisons leaderboard, 292 sources

Observed shapes6

Canonical segment URLs exist only for observed category/shape pairs.

Published6

Published segments met the release evidence floor.

Collecting0

Collecting segments expose sample progress, not mature leaderboards.

ReleaseNovember 2, 2026

Methodology v2.1.

Question shapes

Separate denominators by segment

Question shapeStateObserved runsDistinct questionsRun datesDistinct cited domainsCanonical segment
Best toolsPublished2737 (5 paraphrase groups)12436Open leaderboard
How buyers choosePublished2727 (5 paraphrase groups)12484Open leaderboard
Is it worth itPublished2727 (5 paraphrase groups)12302Open leaderboard
Problem-first researchPublished2727 (5 paraphrase groups)12285Open leaderboard
Top listsPublished2737 (5 paraphrase groups)12512Open leaderboard
ComparisonsPublished2747 (5 paraphrase groups)12292Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Consumer Health segment by that source's citation rate on one engine across the whole window. It is not a rate inside Consumer Health alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Consumer Health, observed Machine Relations Index category, 2026-05-10 to 2026-11-02. Release mri_score_v2.1+2026-11-02+f9aaeca0db15. https://machinerelations.ai/index/categories/consumer-health. CC BY 4.0.
APA
Parrott, J. (2026). Consumer Health in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/consumer-health https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mriconsumerhealth,
  author = {Parrott, Jaxon},
  title = {Consumer Health in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-02+f9aaeca0db15},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/categories/consumer-health},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

No pooled category score

Published November 2, 2026. The observation window runs May 10, 2026 to November 2, 2026. Methodology v2.1.

Use the data
curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html
import json
from urllib.request import urlopen

index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
    index = json.load(response)
print(index["generated"], index["total_domains"])

This page is a directory of observed segments. A domain's overall citation rate is not a category rate, and MRI does not publish an averaged category score in this slice.

Consumer Health buyers on AuthorityTech’s publication intelligence is a downstream practitioner projection of these segments. It is not source evidence, citation provenance, or an identity link for the neutral dataset.