Machine Relations Index

Industrial · Machine Relations Index category

Which sources AI engines cite for Industrial questions

Editorial publications earn 36.3% of classified citations in Industrial answers (205 of 565), 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 Industrial 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 industrial tools. 152 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 331Feeco.comOther observed source15.13%23 of 152
#2 of 331Iqsdirectory.comOther observed source13.16%20 of 152
#3 of 331Beumergroup.comOther observed source12.50%19 of 152
#4 of 331Chardonlabs.comOther observed source10.53%16 of 152
#5 of 331Chantland.comOther observed source9.21%14 of 152

Full Best tools leaderboard, 331 sources

How buyers choose

Example pattern: how to choose industrial tools. 147 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 247Calcengineer.comOther observed source12.93%19 of 147
#2 of 247Konecranes.comOther observed source12.24%18 of 147
#3 of 247Spanco.comOther observed source12.24%18 of 147
#4 of 247Workshopcalc.comOther observed source12.24%18 of 147
#5 of 247Mazzellacompanies.comOther observed source10.88%16 of 147

Full How buyers choose leaderboard, 247 sources

Is it worth it

Example pattern: is industrial software worth it. 151 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 258Americancleanrooms.comOther observed source21.19%32 of 151
#2 of 258Panelbuilt.comOther observed source14.57%22 of 151
#3 of 258Terrapincg.comOther observed source13.91%21 of 151
#4 of 258Oxmaint.comOther observed source11.92%18 of 151
#5 of 258Cleanroomequips.comOther observed source11.26%17 of 151

Full Is it worth it leaderboard, 258 sources

Problem-first research

Example pattern: how to solve industrial problems. 184 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 243Fabrico.ioOther observed source13.59%25 of 184
#2 of 243Customconveyor.comOther observed source13.04%24 of 184
#3 of 243Oxmaint.comOther observed source11.41%21 of 184
#4 of 243Alligatorautomations.com.auOther observed source8.15%15 of 184
#5 of 243Texasbelting.comOther observed source7.61%14 of 184

Full Problem-first research leaderboard, 243 sources

Top lists

Example pattern: top industrial platforms. 176 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 404Standardbots.comOther observed source17.61%31 of 176
#2 of 404The FabricatorEditorial publication10.23%18 of 176
#3 of 404Elephant-cnc.comOther observed source9.09%16 of 176
#4 of 404Forkliftmatch.comOther observed source9.09%16 of 176
#5 of 404Greatlakesmachinery.comOther observed source9.09%16 of 176

Full Top lists leaderboard, 404 sources

Comparisons

Example pattern: industrial platform A vs B. 180 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 181Stamtec.comOther observed source25.00%45 of 180
#2 of 181MetalPress MachineryOther observed source17.78%32 of 180
#3 of 181Grundfos.comOther observed source15.56%28 of 180
#4 of 181LinkedInCommunity and social platform12.78%23 of 180
#5 of 181The FabricatorEditorial publication12.22%22 of 180

Full Comparisons leaderboard, 181 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 toolsPublished1527 (5 paraphrase groups)10331Open leaderboard
How buyers choosePublished1477 (5 paraphrase groups)10247Open leaderboard
Is it worth itPublished1517 (5 paraphrase groups)10258Open leaderboard
Problem-first researchPublished1847 (5 paraphrase groups)10243Open leaderboard
Top listsPublished1767 (5 paraphrase groups)10404Open leaderboard
ComparisonsPublished1807 (5 paraphrase groups)10181Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Industrial segment by that source's citation rate on one engine across the whole window. It is not a rate inside Industrial alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Industrial, 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/industrial. CC BY 4.0.
APA
Parrott, J. (2026). Industrial in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/industrial https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mriindustrial,
  author = {Parrott, Jaxon},
  title = {Industrial 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/industrial},
  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.

Industrial 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.