Machine Relations Index

Education & Training · Machine Relations Index category

Which sources AI engines cite for Education & Training questions

Academic and government sources earn 32.2% of classified citations in Education & Training answers (585 of 1,816), 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 Education & Training 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 education training tools. 238 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 389RedditCommunity and social platform17.23%41 of 238
#2 of 389Prepscholar.comOther observed source16.39%39 of 238
#3 of 389Talentlms.comOther observed source15.55%37 of 238
#4 of 389Bestcolleges.comOther observed source13.03%31 of 238
#5 of 389D2l.comOther observed source13.03%31 of 238

Full Best tools leaderboard, 389 sources

How buyers choose

Example pattern: how to choose education training tools. 258 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 390Coggno.comOther observed source17.44%45 of 258
#2 of 390Lmspedia.orgOther observed source10.47%27 of 258
#3 of 390Mctaba.comOther observed source9.30%24 of 258
#4 of 390RedditCommunity and social platform9.30%24 of 258
#5 of 390D2l.comOther observed source8.91%23 of 258

Full How buyers choose leaderboard, 390 sources

Is it worth it

Example pattern: is education training software worth it. 219 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 300Elearningindustry.comOther observed source14.61%32 of 219
#2 of 300Theworkademy.comOther observed source14.61%32 of 219
#3 of 300RedditCommunity and social platform11.87%26 of 219
#4 of 300Talentlms.comOther observed source10.96%24 of 219
#5 of 300Scrimba.comOther observed source10.50%23 of 219

Full Is it worth it leaderboard, 300 sources

Problem-first research

Example pattern: how to solve education training problems. 226 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 392Indeed.comOther observed source12.39%28 of 226
#2 of 392Teachable.comOther observed source11.06%25 of 226
#3 of 392Tiqplus.comOther observed source10.62%24 of 226
#4 of 392LinkedInCommunity and social platform10.18%23 of 226
#5 of 392Docebo.comOther observed source7.96%18 of 226

Full Problem-first research leaderboard, 392 sources

Top lists

Example pattern: top education training platforms. 230 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 450D2l.comOther observed source12.61%29 of 230
#2 of 450Valamis.comOther observed source12.61%29 of 230
#3 of 450Artech.comOther observed source11.30%26 of 230
#4 of 450RedditCommunity and social platform10.00%23 of 230
#5 of 450Principalcenter.comOther observed source9.57%22 of 230

Full Top lists leaderboard, 450 sources

Comparisons

Example pattern: education training platform A vs B. 228 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 198Uopeople.eduAcademic and government source27.19%62 of 228
#2 of 198Learn.orgOther observed source21.49%49 of 228
#3 of 198Wgu.eduAcademic and government source19.74%45 of 228
#4 of 198Upistudy.comOther observed source19.30%44 of 228
#5 of 198Transfercredit.orgOther observed source18.86%43 of 228

Full Comparisons leaderboard, 198 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 toolsPublished2387 (5 paraphrase groups)12389Open leaderboard
How buyers choosePublished2587 (5 paraphrase groups)12390Open leaderboard
Is it worth itPublished2197 (5 paraphrase groups)12300Open leaderboard
Problem-first researchPublished2267 (5 paraphrase groups)12392Open leaderboard
Top listsPublished2307 (5 paraphrase groups)12450Open leaderboard
ComparisonsPublished2287 (5 paraphrase groups)12198Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Education & Training segment by that source's citation rate on one engine across the whole window. It is not a rate inside Education & Training alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Education & Training, 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/education-training. CC BY 4.0.
APA
Parrott, J. (2026). Education & Training in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/education-training https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mrieducationtraining,
  author = {Parrott, Jaxon},
  title = {Education \& Training 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/education-training},
  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.

Education & Training 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.