Perplexity · Consumer Health · Machine Relations Index
Which sources does Perplexity cite most among Consumer Health sources?
As of October 25, 2026, among sources with a published Consumer Health segment, Reddit is the most-cited source in Perplexity answers across the whole window, cited in 20.89% of 7,268 observed Perplexity runs.
A rate is the source's share of Perplexity's observed runs across the whole window, not a rate inside Consumer Health. The public release does not record a separate rate for one engine inside one category. Sources are listed only when they have a published segment here, which means that segment cleared the evidence floor.
Ranking
Sources ranked by citation rate
| Rank | Source | Source role | Citation rate | Cited runs | Engine's observed runs | Confidence |
|---|---|---|---|---|---|---|
| #1 of 845 | Community and social platform | 20.89% | 1,518 | 7,268 | A | |
| #2 of 845 | Community and social platform | 11.23% | 816 | 7,268 | A | |
| #3 of 845 | YouTube | Search or media platform | 9.14% | 664 | 7,268 | A |
| #4 of 845 | Forbes | Editorial publication | 7.97% | 579 | 7,268 | A |
| #5 of 845 | NIH | Academic and government source | 4.50% | 327 | 7,268 | A |
| #6 of 845 | The New York Times | Editorial publication | 3.99% | 290 | 7,268 | B |
| #7 of 845 | Amazon.com | Other observed source | 3.74% | 272 | 7,268 | A |
| #7 of 845 | Yahoo News | Editorial publication | 3.74% | 272 | 7,268 | A |
| #9 of 845 | Healthline | Editorial publication | 3.25% | 236 | 7,268 | B |
| #10 of 845 | Alibaba.com | Other observed source | 2.92% | 212 | 7,268 | B |
| #11 of 845 | Medium | Community and social platform | 2.42% | 176 | 7,268 | A |
| #12 of 845 | CNBC | Editorial publication | 2.08% | 151 | 7,268 | B |
| #13 of 845 | CNET | Editorial publication | 2.04% | 148 | 7,268 | B |
| #14 of 845 | WebMD | Editorial publication | 1.82% | 132 | 7,268 | B |
| #15 of 845 | Facebook.com | Community and social platform | 1.75% | 127 | 7,268 | B |
| #16 of 845 | Good Housekeeping | Editorial publication | 1.73% | 126 | 7,268 | B |
| #17 of 845 | Substack.com | Community and social platform | 1.62% | 118 | 7,268 | A |
| #18 of 845 | Business Insider | Editorial publication | 1.58% | 115 | 7,268 | B |
| #19 of 845 | EverydayHealth.com | Editorial publication | 1.46% | 106 | 7,268 | B |
| #20 of 845 | Clevelandclinic.org | Academic and government source | 1.42% | 103 | 7,268 | B |
| #21 of 845 | Harvard.edu | Academic and government source | 1.29% | 94 | 7,268 | B |
| #22 of 845 | Mayoclinic.org | Other observed source | 1.28% | 93 | 7,268 | B |
| #23 of 845 | U.S. News & World Report | Editorial publication | 1.24% | 90 | 7,268 | B |
| #24 of 845 | Fortune | Editorial publication | 1.21% | 88 | 7,268 | B |
| #25 of 845 | Wikipedia | Academic and government source | 1.17% | 85 | 7,268 | A |
| #26 of 845 | Goodrx.com | Other observed source | 1.16% | 84 | 7,268 | B |
| #27 of 845 | WIRED | Editorial publication | 1.10% | 80 | 7,268 | C |
| #28 of 845 | Consumer Reports | Editorial publication | 1.06% | 77 | 7,268 | B |
| #29 of 845 | Indiatimes | Editorial publication | 1.02% | 74 | 7,268 | C |
| #30 of 845 | Indeed.com | Other observed source | 0.91% | 66 | 7,268 | C |
| #31 of 845 | USA Today | Editorial publication | 0.89% | 65 | 7,268 | C |
| #32 of 845 | Sciencedirect.com | Academic and government source | 0.83% | 60 | 7,268 | B |
| #33 of 845 | Tom's Guide | Editorial publication | 0.77% | 56 | 7,268 | B |
| #34 of 845 | Scribd.com | Other observed source | 0.73% | 53 | 7,268 | C |
| #35 of 845 | Health.com | Other observed source | 0.72% | 52 | 7,268 | C |
| #35 of 845 | Ubiehealth.com | Other observed source | 0.72% | 52 | 7,268 | C |
| #35 of 845 | Verywellhealth.com | Other observed source | 0.72% | 52 | 7,268 | Collecting |
| #38 of 845 | Medical News Today | Editorial publication | 0.67% | 49 | 7,268 | C |
| #39 of 845 | Consumerlab.com | Other observed source | 0.63% | 46 | 7,268 | C |
| #39 of 845 | Innerbody.com | Other observed source | 0.63% | 46 | 7,268 | C |
| #39 of 845 | Instagram.com | Other observed source | 0.63% | 46 | 7,268 | B |
| #42 of 845 | Garage Gym Reviews | Other observed source | 0.62% | 45 | 7,268 | C |
| #42 of 845 | Sleepfoundation.org | Academic and government source | 0.62% | 45 | 7,268 | C |
| #44 of 845 | Aarp.org | Academic and government source | 0.61% | 44 | 7,268 | C |
| #45 of 845 | Cbinsights.com | Market and company database | 0.59% | 43 | 7,268 | B |
| #46 of 845 | Bon Appétit | Editorial publication | 0.58% | 42 | 7,268 | C |
| #46 of 845 | Justdial.com | Other observed source | 0.58% | 42 | 7,268 | Collecting |
| #48 of 845 | Statista.com | Market and company database | 0.56% | 41 | 7,268 | C |
| #48 of 845 | Target.com | Other observed source | 0.56% | 41 | 7,268 | C |
| #50 of 845 | Mdpi.com | Other observed source | 0.54% | 39 | 7,268 | B |
| #50 of 845 | Nhs.uk | Other observed source | 0.54% | 39 | 7,268 | C |
| #50 of 845 | Theconsumers.guide | Other observed source | 0.54% | 39 | 7,268 | C |
| #53 of 845 | NBC News | Editorial publication | 0.51% | 37 | 7,268 | C |
| #54 of 845 | CNN | Editorial publication | 0.50% | 36 | 7,268 | C |
| #54 of 845 | Pulserevops.com | Other observed source | 0.50% | 36 | 7,268 | C |
| #54 of 845 | Upenn.edu | Academic and government source | 0.50% | 36 | 7,268 | C |
| #57 of 845 | Hopkinsmedicine.org | Other observed source | 0.48% | 35 | 7,268 | C |
| #58 of 845 | Nature.com | Other observed source | 0.47% | 34 | 7,268 | C |
| #59 of 845 | Wellwhisk.com | Other observed source | 0.45% | 33 | 7,268 | C |
| #60 of 845 | The Independent | Editorial publication | 0.44% | 32 | 7,268 | C |
| #60 of 845 | Mygenefood.com | Other observed source | 0.44% | 32 | 7,268 | C |
| #60 of 845 | Ofzenandcomputing.com | Other observed source | 0.44% | 32 | 7,268 | C |
| #63 of 845 | Nerdbot.com | Other observed source | 0.41% | 30 | 7,268 | C |
| #63 of 845 | Stanford.edu | Academic and government source | 0.41% | 30 | 7,268 | C |
| #65 of 845 | Springer.com | Other observed source | 0.40% | 29 | 7,268 | C |
| #66 of 845 | Uclahealth.org | Other observed source | 0.39% | 28 | 7,268 | C |
| #66 of 845 | Women's Health | Editorial publication | 0.39% | 28 | 7,268 | C |
| #68 of 845 | NY Post (New York Post) | Editorial publication | 0.37% | 27 | 7,268 | Collecting |
| #68 of 845 | The Good Trade | Editorial publication | 0.37% | 27 | 7,268 | C |
| #70 of 845 | Einpresswire.com | Wire and press-release distribution | 0.36% | 26 | 7,268 | C |
| #70 of 845 | Nordic.com | Other observed source | 0.36% | 26 | 7,268 | C |
| #70 of 845 | Scienceinsights.org | Other observed source | 0.36% | 26 | 7,268 | B |
| #70 of 845 | Supplementscored.com | Other observed source | 0.36% | 26 | 7,268 | C |
| #74 of 845 | Aafp.org | Other observed source | 0.33% | 24 | 7,268 | C |
| #74 of 845 | Bbcgoodfood.com | Other observed source | 0.33% | 24 | 7,268 | C |
| #74 of 845 | Entrepreneur | Editorial publication | 0.33% | 24 | 7,268 | C |
| #77 of 845 | Cymbiotika.com | Other observed source | 0.32% | 23 | 7,268 | C |
| #77 of 845 | TIME | Editorial publication | 0.32% | 23 | 7,268 | C |
| #77 of 845 | Ulta.com | Other observed source | 0.32% | 23 | 7,268 | C |
| #77 of 845 | Vic.gov.au | Academic and government source | 0.32% | 23 | 7,268 | Collecting |
| #81 of 845 | Ama-assn.org | Academic and government source | 0.30% | 22 | 7,268 | C |
| #81 of 845 | Psychology Today | Editorial publication | 0.30% | 22 | 7,268 | Collecting |
| #81 of 845 | Tradeindia.com | Other observed source | 0.30% | 22 | 7,268 | Collecting |
| #84 of 845 | Cooperaerobics.com | Other observed source | 0.29% | 21 | 7,268 | Collecting |
| #84 of 845 | Gnc.com | Other observed source | 0.29% | 21 | 7,268 | Collecting |
| #84 of 845 | Headtopics.com | Search or media platform | 0.29% | 21 | 7,268 | Collecting |
| #84 of 845 | Healthcentral.com | Other observed source | 0.29% | 21 | 7,268 | C |
| #88 of 845 | Marie Claire | Editorial publication | 0.28% | 20 | 7,268 | C |
| #89 of 845 | Medicinenet.com | Other observed source | 0.26% | 19 | 7,268 | Collecting |
| #89 of 845 | Nakednutrition.com | Other observed source | 0.26% | 19 | 7,268 | C |
| #89 of 845 | Thefeed.com | Other observed source | 0.26% | 19 | 7,268 | C |
| #92 of 845 | Big News Network.com | Other observed source | 0.25% | 18 | 7,268 | Collecting |
| #92 of 845 | Houstonmethodist.org | Other observed source | 0.25% | 18 | 7,268 | Collecting |
| #92 of 845 | Iherb.com | Other observed source | 0.25% | 18 | 7,268 | C |
| #92 of 845 | Mena FN | Wire and press-release distribution | 0.25% | 18 | 7,268 | Collecting |
| #92 of 845 | New York Magazine | Editorial publication | 0.25% | 18 | 7,268 | Collecting |
| #92 of 845 | Proteinjug.com | Other observed source | 0.25% | 18 | 7,268 | Collecting |
| #92 of 845 | Vitaquest.com | Other observed source | 0.25% | 18 | 7,268 | C |
| #99 of 845 | Livemomentous.com | Other observed source | 0.23% | 17 | 7,268 | C |
| #99 of 845 | Nasdaq.com | Other observed source | 0.23% | 17 | 7,268 | C |
Showing the first 100 of 845 ranked sources.
Category leaderboard, pooled across engines: Consumer Health
Method
What each engine's figures measure
Release mri_score_v2.1+2026-10-25+9c34b2dccc04; methodology mri_score_v2.1; generated 2026-10-25; window 2026-05-10 to 2026-10-25; artifact 9f1a507f84e8.
The release roster names the model sonar for Perplexity.
Perplexity's sample is 7,268 observed runs across 162 dates. The evidence floor is 10 observed runs and 7 distinct dates.
ChatGPT runs. They go through OpenAI's API with web search switched on, using the model each release names in its engine roster: gpt-4.1-mini-2025-04-14 in current releases, while earlier runs in the window were answered by gpt-4o-mini-search-preview-2025-03-11. That is the retrieval layer apps and research agents built on OpenAI's API use. The signed-in ChatGPT app answers with its own models and search pipeline and cites differently: a preprint submitted on 2026-10-11 and not yet peer reviewed found that Google Search and OpenAI's API on comparable models together recovered about half of the hostnames ChatGPT Web cited (48.7 and 50.3 percent on two model settings) and 26 to 28 percent of its exact URLs (arXiv 2610.15382v1). Claude, Gemini and Perplexity runs are likewise API runs with web search, on the models the roster names.
Method note, 2026-09-25. From that date, Google AI Mode and Google AI Overviews runs come through a different collection path than earlier runs, with no overlapping days, and answers collected on the two paths differ in how many distinct domains each cites. Per-answer figures for those two engines are read within one side of 2026-09-25, not as a trend across it.
Degraded coverage: 5 of 6 answer engines are currently returning citation-bearing answers. gemini quiet (5 of 20 collected calls produced an observation, 25%). Coverage across the window is uneven: gemini returned citation-bearing answers on 140 of 162 observed days (2,197 of 6,962 returned runs produced a citation); google_ai_mode returned citation-bearing answers on 119 of 162 observed days (1,613 of 2,086 returned runs produced a citation); google_ai_overviews returned citation-bearing answers on 102 of 162 observed days (963 of 1,446 returned runs produced a citation). Engines below 90% of the window are named here; per-engine day and run counts for all 6 are in engine_roster.
Cite this leaderboard
How to cite Perplexity · Consumer Health
Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. As of October 25, 2026, among sources with a published Consumer Health segment, Reddit is the most-cited source in Perplexity answers across the whole window, cited in 20.89% of 7,268 observed Perplexity runs. Release mri_score_v2.1+2026-10-25+9c34b2dccc04. https://machinerelations.ai/index/engines/perplexity/consumer-health. CC BY 4.0.
APA
Parrott, J. (2026). Which sources does Perplexity cite most among Consumer Health sources? (Version mri_score_v2.1+2026-10-25+9c34b2dccc04) [Data set]. Machine Relations Research. https://machinerelations.ai/index/engines/perplexity/consumer-healthBibTeX
@misc{parrott2026mriperplexityconsumerhealth,
author = {Parrott, Jaxon},
title = {Which sources does Perplexity cite most among Consumer Health sources?},
year = {2026},
version = {mri\_score\_v2.1+2026-10-25+9c34b2dccc04},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/engines/perplexity/consumer-health},
license = {CC-BY-4.0},
note = {Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai}
}