Machine Relations Index

Emergent Prosumer · Machine Relations Index category

Which sources AI engines cite for Emergent Prosumer questions

Editorial publications earn 63.8% of classified citations in Emergent Prosumer answers (1,081 of 1,694), 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 Emergent Prosumer 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 emergent prosumer tools. 225 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 425TechRadarEditorial publication22.67%51 of 225
#2 of 425T3Editorial publication14.22%32 of 225
#3 of 425Gagadget.comEditorial publication13.78%31 of 225
#4 of 425Ankersolix.comOther observed source13.33%30 of 225
#5 of 425RedditCommunity and social platform12.89%29 of 225

Full Best tools leaderboard, 425 sources

How buyers choose

Example pattern: how to choose emergent prosumer tools. 223 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 356Atomm.comOther observed source16.14%36 of 223
#2 of 356Soundcore.comOther observed source14.80%33 of 223
#3 of 356TechRadarEditorial publication14.80%33 of 223
#4 of 356Crealityfalcon.comOther observed source11.21%25 of 223
#5 of 356RedditCommunity and social platform10.31%23 of 223

Full How buyers choose leaderboard, 356 sources

Is it worth it

Example pattern: is emergent prosumer software worth it. 229 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 255Plaud.aiOther observed source19.65%45 of 229
#2 of 255Layer3labs.ioOther observed source19.21%44 of 229
#3 of 255RedditCommunity and social platform14.41%33 of 229
#4 of 255Alibaba.comOther observed source10.92%25 of 229
#5 of 255TechRadarEditorial publication10.48%24 of 229

Full Is it worth it leaderboard, 255 sources

Problem-first research

Example pattern: how to solve emergent prosumer problems. 231 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 303RedditCommunity and social platform15.15%35 of 231
#2 of 303YouTubeSearch or media platform13.85%32 of 231
#3 of 303Alibaba.comOther observed source9.96%23 of 231
#4 of 303Goodiesrc.comOther observed source8.66%20 of 231
#5 of 303Exspenditure.comOther observed source7.79%18 of 231

Full Problem-first research leaderboard, 303 sources

Top lists

Example pattern: top emergent prosumer platforms. 226 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 422TechRadarEditorial publication15.93%36 of 226
#2 of 422Digital Camera WorldEditorial publication13.72%31 of 226
#3 of 422Plugable.comOther observed source13.72%31 of 226
#4 of 422PCMagEditorial publication11.95%27 of 226
#5 of 422Viewsonic.comOther observed source11.50%26 of 226

Full Top lists leaderboard, 422 sources

Comparisons

Example pattern: emergent prosumer platform A vs B. 223 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 248YouTubeSearch or media platform29.15%65 of 223
#2 of 248Uniquephoto.comOther observed source15.70%35 of 223
#3 of 248Ecoflow.comOther observed source14.35%32 of 223
#4 of 248As2.aeOther observed source12.56%28 of 223
#5 of 248Zhiyun-tech.comOther observed source12.11%27 of 223

Full Comparisons leaderboard, 248 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 toolsPublished2257 (5 paraphrase groups)12425Open leaderboard
How buyers choosePublished2237 (5 paraphrase groups)12356Open leaderboard
Is it worth itPublished2297 (5 paraphrase groups)12255Open leaderboard
Problem-first researchPublished2317 (5 paraphrase groups)12303Open leaderboard
Top listsPublished2267 (5 paraphrase groups)12422Open leaderboard
ComparisonsPublished2237 (5 paraphrase groups)12248Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Emergent Prosumer segment by that source's citation rate on one engine across the whole window. It is not a rate inside Emergent Prosumer alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Emergent Prosumer, 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/emergent-prosumer. CC BY 4.0.
APA
Parrott, J. (2026). Emergent Prosumer in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/emergent-prosumer https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mriemergentprosumer,
  author = {Parrott, Jaxon},
  title = {Emergent Prosumer 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/emergent-prosumer},
  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.

Emergent Prosumer 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.