Machine Relations Index

Deep Tech & Hardware · Machine Relations Index category

Which sources AI engines cite for Deep Tech & Hardware 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 Deep Tech & Hardware 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 deep tech hardware tools. 200 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 480Arxiv.orgAcademic and government source20.00%40 of 200
#2 of 480AIMultipleEditorial publication16.50%33 of 200
#3 of 480RedditCommunity and social platform14.00%28 of 200
#4 of 480Openelab.ioOther observed source12.50%25 of 200
#5 of 480Generationrobots.comOther observed source12.00%24 of 200

Full Best tools leaderboard, 480 sources

How buyers choose

Example pattern: how to choose deep tech hardware tools. 199 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 260Anysilicon.comOther observed source35.68%71 of 199
#2 of 260Semiengineering.comOther observed source23.12%46 of 199
#3 of 260RedditCommunity and social platform19.60%39 of 199
#4 of 260EEJournalEditorial publication14.57%29 of 199
#5 of 260Electronic DesignEditorial publication14.07%28 of 199

Full How buyers choose leaderboard, 260 sources

Is it worth it

Example pattern: is deep tech hardware software worth it. 180 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 298Vlsishuttle.comOther observed source31.11%56 of 180
#2 of 298Siliconanalysts.comOther observed source22.78%41 of 180
#3 of 298Anysilicon.comOther observed source18.33%33 of 180
#4 of 298Towersemi.comOther observed source16.11%29 of 180
#5 of 298Mst-sg.comOther observed source12.78%23 of 180

Full Is it worth it leaderboard, 298 sources

Problem-first research

Example pattern: how to solve deep tech hardware problems. 184 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 266Analog.comOther observed source19.02%35 of 184
#2 of 266Ti.comOther observed source13.59%25 of 184
#3 of 266Arduino.ccOther observed source9.78%18 of 184
#4 of 266RedditCommunity and social platform9.78%18 of 184
#5 of 266Allaboutcircuits.comOther observed source9.24%17 of 184

Full Problem-first research leaderboard, 266 sources

Top lists

Example pattern: top deep tech hardware platforms. 186 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 373Unmannedsystemstechnology.comOther observed source27.42%51 of 186
#2 of 373Guidenav.comOther observed source13.44%25 of 186
#3 of 373Mdpi.comOther observed source12.90%24 of 186
#4 of 373NIHAcademic and government source12.90%24 of 186
#5 of 373Patsnap.comOther observed source12.37%23 of 186

Full Top lists leaderboard, 373 sources

Comparisons

Example pattern: deep tech hardware platform A vs B. 186 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 238YouTubeSearch or media platform17.20%32 of 186
#2 of 238Nvidia.comVendor-owned source16.67%31 of 186
#3 of 238RedditCommunity and social platform16.13%30 of 186
#4 of 238Ieee.orgAcademic and government source14.52%27 of 186
#5 of 238Ti.comOther observed source12.90%24 of 186

Full Comparisons leaderboard, 238 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 toolsPublished2007 (5 paraphrase groups)10480Open leaderboard
How buyers choosePublished1997 (5 paraphrase groups)10260Open leaderboard
Is it worth itPublished1807 (5 paraphrase groups)10298Open leaderboard
Problem-first researchPublished1847 (5 paraphrase groups)10266Open leaderboard
Top listsPublished1867 (5 paraphrase groups)10373Open leaderboard
ComparisonsPublished1867 (5 paraphrase groups)10238Open 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.

Deep Tech & Hardware 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.