Machine Relations Index

AI Infrastructure · Machine Relations Index category

Which sources AI engines cite for AI Infrastructure 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 AI Infrastructure 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 AI infrastructure tools. 167 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 319MediumCommunity and social platform32.93%55 of 167
#2 of 319Arxiv.orgAcademic and government source22.75%38 of 167
#3 of 319Firecrawl.devOther observed source20.96%35 of 167
#4 of 319YouTubeSearch or media platform15.57%26 of 167
#5 of 319Zenml.ioOther observed source14.97%25 of 167

Full Best tools leaderboard, 319 sources

How buyers choose

Example pattern: how to choose AI infrastructure tools. 196 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 366Arxiv.orgAcademic and government source24.49%48 of 196
#2 of 366MediumCommunity and social platform18.88%37 of 196
#3 of 366YouTubeSearch or media platform15.82%31 of 196
#4 of 366Dev.toCommunity and social platform11.73%23 of 196
#5 of 366Gmicloud.aiOther observed source11.73%23 of 196

Full How buyers choose leaderboard, 366 sources

Is it worth it

Example pattern: is AI infrastructure software worth it. 195 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 361RedditCommunity and social platform19.49%38 of 195
#2 of 361MediumCommunity and social platform18.46%36 of 195
#3 of 361Atlan.comVendor-owned source17.44%34 of 195
#4 of 361ChitikaEditorial publication14.87%29 of 195
#5 of 361Arxiv.orgAcademic and government source13.85%27 of 195

Full Is it worth it leaderboard, 361 sources

Problem-first research

Example pattern: how to solve AI infrastructure problems. 195 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 389Arxiv.orgAcademic and government source14.36%28 of 195
#2 of 389RedditCommunity and social platform13.85%27 of 195
#3 of 389Dev.toCommunity and social platform11.79%23 of 195
#4 of 389Openai.comVendor-owned source10.77%21 of 195
#5 of 389LinkedInCommunity and social platform10.26%20 of 195

Full Problem-first research leaderboard, 389 sources

Top lists

Example pattern: top AI infrastructure platforms. 198 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 381Spheron.networkOther observed source30.81%61 of 198
#2 of 381Nvidia.comVendor-owned source17.17%34 of 198
#3 of 381Introl.comOther observed source15.15%30 of 198
#4 of 381Nebius.comOther observed source15.15%30 of 198
#5 of 381RedditCommunity and social platform15.15%30 of 198

Full Top lists leaderboard, 381 sources

Comparisons

Example pattern: AI infrastructure platform A vs B. 196 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 321Databricks.comVendor-owned source25.51%50 of 196
#2 of 321Ibm.comVendor-owned source18.88%37 of 196
#3 of 321YouTubeSearch or media platform18.88%37 of 196
#4 of 321MediumCommunity and social platform14.29%28 of 196
#5 of 321Arxiv.orgAcademic and government source13.78%27 of 196

Full Comparisons leaderboard, 321 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 toolsPublished1677 (5 paraphrase groups)10319Open leaderboard
How buyers choosePublished1967 (5 paraphrase groups)10366Open leaderboard
Is it worth itPublished1957 (5 paraphrase groups)10361Open leaderboard
Problem-first researchPublished1957 (5 paraphrase groups)10389Open leaderboard
Top listsPublished1987 (5 paraphrase groups)10381Open leaderboard
ComparisonsPublished1967 (5 paraphrase groups)10321Open 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.

AI Infrastructure 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.