Machine Relations Index

Consumer Products · Machine Relations Index category

Which sources AI engines cite for Consumer Products questions

In the October 2026 release of the Machine Relations Index (mri_score_v2.1+2026-10-16+676547a595a3), these are the sources AI answer engines cited most often for each of the 6 Consumer Products 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 products tools. 221 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 403ForbesEditorial publication30.77%68 of 221
#2 of 403RedditCommunity and social platform19.46%43 of 221
#3 of 403Whowhatwear.comOther observed source17.65%39 of 221
#4 of 403YouTubeSearch or media platform17.65%39 of 221
#5 of 403AllureEditorial publication15.38%34 of 221

Full Best tools leaderboard, 403 sources

How buyers choose

Example pattern: how to choose consumer products tools. 225 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 584Livetinted.comOther observed source20.00%45 of 225
#2 of 584YouTubeSearch or media platform16.89%38 of 225
#3 of 584RedditCommunity and social platform15.56%35 of 225
#4 of 584Koraorganics.comOther observed source11.11%25 of 225
#5 of 584AllureEditorial publication9.78%22 of 225

Full How buyers choose leaderboard, 584 sources

Is it worth it

Example pattern: is consumer products software worth it. 224 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 316RedditCommunity and social platform20.09%45 of 224
#2 of 316Alibaba.comOther observed source19.64%44 of 224
#3 of 316Daily HarvestOther observed source17.41%39 of 224
#4 of 316YouTubeSearch or media platform15.63%35 of 224
#5 of 316Coreculture.comOther observed source11.16%25 of 224

Full Is it worth it leaderboard, 316 sources

Problem-first research

Example pattern: how to solve consumer products problems. 221 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 328RedditCommunity and social platform15.84%35 of 221
#2 of 328Dialavet.comOther observed source14.93%33 of 221
#3 of 328YouTubeSearch or media platform13.57%30 of 221
#4 of 328Petmd.comOther observed source11.31%25 of 221
#5 of 328Dogster.comOther observed source10.86%24 of 221

Full Problem-first research leaderboard, 328 sources

Top lists

Example pattern: top consumer products platforms. 217 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 517Dogfoodadvisor.comOther observed source20.74%45 of 217
#2 of 517Chewy.comOther observed source19.35%42 of 217
#3 of 517ForbesEditorial publication18.89%41 of 217
#4 of 517The Good TradeEditorial publication17.05%37 of 217
#5 of 517Walmart.comOther observed source14.29%31 of 217

Full Top lists leaderboard, 517 sources

Comparisons

Example pattern: consumer products platform A vs B. 217 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 346Petmd.comOther observed source23.96%52 of 217
#2 of 346YouTubeSearch or media platform23.04%50 of 217
#3 of 346RedditCommunity and social platform20.28%44 of 217
#4 of 346ForbesEditorial publication15.67%34 of 217
#5 of 346Seed.comOther observed source13.82%30 of 217

Full Comparisons leaderboard, 346 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.

Release2026-10-16

mri_score_v2.1+2026-10-16+676547a595a3

Question shapes

Separate denominators by segment

Question shapeStateObserved runsDistinct questionsRun datesCited domain observationsCanonical segment
Best toolsPublished2217 (5 paraphrase groups)10403Open leaderboard
How buyers choosePublished2257 (5 paraphrase groups)10584Open leaderboard
Is it worth itPublished2247 (5 paraphrase groups)10316Open leaderboard
Problem-first researchPublished2217 (5 paraphrase groups)10328Open leaderboard
Top listsPublished2177 (5 paraphrase groups)10517Open leaderboard
ComparisonsPublished2177 (5 paraphrase groups)10346Open leaderboard

Release and boundary

No pooled category score

Release mri_score_v2.1+2026-10-16+676547a595a3; methodology mri_score_v2.1; generated 2026-10-16; window 2026-05-10 to 2026-10-16; artifact 676547a595a3.

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