Machine Relations Index

AI Visibility & GEO · Machine Relations Index category

Which sources AI engines cite for AI Visibility & GEO 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 Visibility & GEO 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 visibility GEO tools. 202 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 517Seranking.comOther observed source23.76%48 of 202
#2 of 517RedditCommunity and social platform20.30%41 of 202
#3 of 517YouTubeSearch or media platform19.31%39 of 202
#4 of 517Otterly.aiOther observed source18.81%38 of 202
#5 of 517Therankmasters.comVendor-owned source18.81%38 of 202

Full Best tools leaderboard, 517 sources

How buyers choose

Example pattern: how to choose AI visibility GEO tools. 200 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 619YouTubeSearch or media platform15.50%31 of 200
#2 of 619Stackmatix.comOther observed source13.00%26 of 200
#3 of 619Brandviz.aiOther observed source9.00%18 of 200
#4 of 619Llmpulse.aiOther observed source8.50%17 of 200
#5 of 619Averi.aiOther observed source8.00%16 of 200

Full How buyers choose leaderboard, 619 sources

Is it worth it

Example pattern: is AI visibility GEO software worth it. 224 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 612RedditCommunity and social platform20.09%45 of 224
#2 of 612Hubspot.comVendor-owned source17.41%39 of 224
#3 of 612Stackmatix.comOther observed source16.96%38 of 224
#4 of 612Averi.aiOther observed source14.29%32 of 224
#5 of 612YouTubeSearch or media platform12.05%27 of 224

Full Is it worth it leaderboard, 612 sources

Problem-first research

Example pattern: how to solve AI visibility GEO problems. 220 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 603YouTubeSearch or media platform20.91%46 of 220
#2 of 603RedditCommunity and social platform19.09%42 of 220
#3 of 603LinkedInCommunity and social platform17.27%38 of 220
#4 of 603Semrush.comVendor-owned source13.64%30 of 220
#5 of 603Trysight.aiOther observed source12.27%27 of 220

Full Problem-first research leaderboard, 603 sources

Top lists

Example pattern: top AI visibility GEO platforms. 160 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 706YouTubeSearch or media platform22.50%36 of 160
#2 of 706Tryprofound.comVendor-owned source21.88%35 of 160
#3 of 706Therankmasters.comVendor-owned source18.13%29 of 160
#4 of 706Hubspot.comVendor-owned source16.25%26 of 160
#5 of 706Semrush.comVendor-owned source15.63%25 of 160

Full Top lists leaderboard, 706 sources

Comparisons

Example pattern: AI visibility GEO platform A vs B. 220 observed runs across 10 dates.

RankSourceSource roleCitation rateCited runs
#1 of 518Hubspot.comVendor-owned source26.36%58 of 220
#2 of 518Semrush.comVendor-owned source17.27%38 of 220
#3 of 518RedditCommunity and social platform16.36%36 of 220
#4 of 518LinkedInCommunity and social platform14.09%31 of 220
#5 of 518MediumCommunity and social platform13.18%29 of 220

Full Comparisons leaderboard, 518 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 toolsPublished2027 (5 paraphrase groups)10517Open leaderboard
How buyers choosePublished2007 (5 paraphrase groups)10619Open leaderboard
Is it worth itPublished2247 (5 paraphrase groups)10612Open leaderboard
Problem-first researchPublished2207 (5 paraphrase groups)10603Open leaderboard
Top listsPublished1607 (5 paraphrase groups)10706Open leaderboard
ComparisonsPublished2207 (5 paraphrase groups)10518Open 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 Visibility & GEO 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.