Machine Relations Index

Enterprise Software · Machine Relations Index category

Which sources AI engines cite for Enterprise Software questions

Vendor-owned sources earn 43.0% of classified citations in Enterprise Software answers (2,108 of 4,897), 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 7 Enterprise Software question shapes, each ranked on that shape's own observed runs. This category has 7 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 enterprise software tools. 230 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 319Erpresearch.comMarket and company database37.83%87 of 230
#2 of 319Top10erp.orgOther observed source16.52%38 of 230
#3 of 319Ifs.comOther observed source13.48%31 of 230
#4 of 319G2Market and company database12.61%29 of 230
#5 of 319TechRadarEditorial publication11.74%27 of 230

Full Best tools leaderboard, 319 sources

How buyers choose

Example pattern: how to choose enterprise software tools. 228 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 303Erpresearch.comMarket and company database25.88%59 of 228
#2 of 303Randgroup.comOther observed source20.61%47 of 228
#3 of 303TechTargetEditorial publication14.47%33 of 228
#4 of 303Digitaladvisory.comOther observed source10.53%24 of 228
#5 of 303Netsuite.comOther observed source10.53%24 of 228

Full How buyers choose leaderboard, 303 sources

Is it worth it

Example pattern: is enterprise software software worth it. 227 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 332Erpresearch.comMarket and company database34.36%78 of 227
#2 of 332Amazon.comOther observed source12.33%28 of 227
#3 of 332Netsuite.comOther observed source11.45%26 of 227
#4 of 332Sap.comOther observed source10.13%23 of 227
#5 of 332Precoro.comOther observed source9.69%22 of 227

Full Is it worth it leaderboard, 332 sources

News-driven citations

Example pattern: recent enterprise software news. 572 observed runs across 53 dates.

RankSourceSource roleCitation rateCited runs
#1 of 1,371LinkedInCommunity and social platform11.54%66 of 572
#2 of 1,371Zylo.comVendor-owned source10.14%58 of 572
#3 of 1,371Salesforce.comVendor-owned source8.74%50 of 572
#4 of 1,371SaaStrAIEditorial publication8.39%48 of 572
#5 of 1,371RedditCommunity and social platform8.22%47 of 572

Full News-driven citations leaderboard, 1,371 sources

Problem-first research

Example pattern: how to solve enterprise software problems. 231 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 442Manageengine.comOther observed source7.79%18 of 231
#2 of 442Cloudeagle.aiVendor-owned source7.36%17 of 231
#3 of 442LinkedInCommunity and social platform7.36%17 of 231
#4 of 442Zapier.comVendor-owned source7.36%17 of 231
#5 of 442RedditCommunity and social platform6.93%16 of 231

Full Problem-first research leaderboard, 442 sources

Top lists

Example pattern: top enterprise software platforms. 230 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 400Procuredesk.comOther observed source15.22%35 of 230
#2 of 400Procurify.comOther observed source15.22%35 of 230
#3 of 400Guideflow.comOther observed source12.61%29 of 230
#4 of 400Fraxion.bizOther observed source10.87%25 of 230
#5 of 400Invgate.comOther observed source10.87%25 of 230

Full Top lists leaderboard, 400 sources

Comparisons

Example pattern: enterprise software platform A vs B. 235 observed runs across 12 dates.

RankSourceSource roleCitation rateCited runs
#1 of 305Erpfocus.comOther observed source14.47%34 of 235
#2 of 305Erpresearch.comMarket and company database14.04%33 of 235
#3 of 305Atlassian.comVendor-owned source13.19%31 of 235
#4 of 305LinkedInCommunity and social platform11.91%28 of 235
#5 of 305Servicenow.comVendor-owned source11.49%27 of 235

Full Comparisons leaderboard, 305 sources

Observed shapes7

Canonical segment URLs exist only for observed category/shape pairs.

Published7

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 toolsPublished2307 (5 paraphrase groups)12319Open leaderboard
How buyers choosePublished2287 (5 paraphrase groups)12303Open leaderboard
Is it worth itPublished2277 (5 paraphrase groups)12332Open leaderboard
News-driven citationsPublished57224531,371Open leaderboard
Problem-first researchPublished2317 (5 paraphrase groups)12442Open leaderboard
Top listsPublished2307 (5 paraphrase groups)12400Open leaderboard
ComparisonsPublished2357 (5 paraphrase groups)12305Open leaderboard

By answer engine

Whole-window rates on each engine

Each link ranks sources with a published Enterprise Software segment by that source's citation rate on one engine across the whole window. It is not a rate inside Enterprise Software alone. A collecting engine has no published ranking for this category.
Cite this
Citation
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Enterprise Software, 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/enterprise-software. CC BY 4.0.
APA
Parrott, J. (2026). Enterprise Software in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/categories/enterprise-software https://doi.org/10.5281/zenodo.23652423
BibTeX
@misc{parrott2026mrienterprisesoftware,
  author = {Parrott, Jaxon},
  title = {Enterprise Software 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/enterprise-software},
  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.

Enterprise Software 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.