Canonical segment URLs exist only for observed category/shape pairs.
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.
| Rank | Source | Source role | Citation rate | Cited runs |
|---|---|---|---|---|
| #1 of 319 | Medium | Community and social platform | 32.93% | 55 of 167 |
| #2 of 319 | Arxiv.org | Academic and government source | 22.75% | 38 of 167 |
| #3 of 319 | Firecrawl.dev | Other observed source | 20.96% | 35 of 167 |
| #4 of 319 | YouTube | Search or media platform | 15.57% | 26 of 167 |
| #5 of 319 | Zenml.io | Other observed source | 14.97% | 25 of 167 |
How buyers choose
Example pattern: how to choose AI infrastructure tools. 196 observed runs across 10 dates.
| Rank | Source | Source role | Citation rate | Cited runs |
|---|---|---|---|---|
| #1 of 366 | Arxiv.org | Academic and government source | 24.49% | 48 of 196 |
| #2 of 366 | Medium | Community and social platform | 18.88% | 37 of 196 |
| #3 of 366 | YouTube | Search or media platform | 15.82% | 31 of 196 |
| #4 of 366 | Dev.to | Community and social platform | 11.73% | 23 of 196 |
| #5 of 366 | Gmicloud.ai | Other observed source | 11.73% | 23 of 196 |
Is it worth it
Example pattern: is AI infrastructure software worth it. 195 observed runs across 10 dates.
| Rank | Source | Source role | Citation rate | Cited runs |
|---|---|---|---|---|
| #1 of 361 | Community and social platform | 19.49% | 38 of 195 | |
| #2 of 361 | Medium | Community and social platform | 18.46% | 36 of 195 |
| #3 of 361 | Atlan.com | Vendor-owned source | 17.44% | 34 of 195 |
| #4 of 361 | Chitika | Editorial publication | 14.87% | 29 of 195 |
| #5 of 361 | Arxiv.org | Academic and government source | 13.85% | 27 of 195 |
Problem-first research
Example pattern: how to solve AI infrastructure problems. 195 observed runs across 10 dates.
| Rank | Source | Source role | Citation rate | Cited runs |
|---|---|---|---|---|
| #1 of 389 | Arxiv.org | Academic and government source | 14.36% | 28 of 195 |
| #2 of 389 | Community and social platform | 13.85% | 27 of 195 | |
| #3 of 389 | Dev.to | Community and social platform | 11.79% | 23 of 195 |
| #4 of 389 | Openai.com | Vendor-owned source | 10.77% | 21 of 195 |
| #5 of 389 | Community and social platform | 10.26% | 20 of 195 |
Top lists
Example pattern: top AI infrastructure platforms. 198 observed runs across 10 dates.
| Rank | Source | Source role | Citation rate | Cited runs |
|---|---|---|---|---|
| #1 of 381 | Spheron.network | Other observed source | 30.81% | 61 of 198 |
| #2 of 381 | Nvidia.com | Vendor-owned source | 17.17% | 34 of 198 |
| #3 of 381 | Introl.com | Other observed source | 15.15% | 30 of 198 |
| #4 of 381 | Nebius.com | Other observed source | 15.15% | 30 of 198 |
| #5 of 381 | Community and social platform | 15.15% | 30 of 198 |
Comparisons
Example pattern: AI infrastructure platform A vs B. 196 observed runs across 10 dates.
| Rank | Source | Source role | Citation rate | Cited runs |
|---|---|---|---|---|
| #1 of 321 | Databricks.com | Vendor-owned source | 25.51% | 50 of 196 |
| #2 of 321 | Ibm.com | Vendor-owned source | 18.88% | 37 of 196 |
| #3 of 321 | YouTube | Search or media platform | 18.88% | 37 of 196 |
| #4 of 321 | Medium | Community and social platform | 14.29% | 28 of 196 |
| #5 of 321 | Arxiv.org | Academic and government source | 13.78% | 27 of 196 |
Published segments met the release evidence floor.
Collecting segments expose sample progress, not mature leaderboards.
mri_score_v2.1+2026-10-16+676547a595a3
Question shapes
Separate denominators by segment
| Question shape | State | Observed runs | Distinct questions | Run dates | Cited domain observations | Canonical segment |
|---|---|---|---|---|---|---|
| Best tools | Published | 167 | 7 (5 paraphrase groups) | 10 | 319 | Open leaderboard |
| How buyers choose | Published | 196 | 7 (5 paraphrase groups) | 10 | 366 | Open leaderboard |
| Is it worth it | Published | 195 | 7 (5 paraphrase groups) | 10 | 361 | Open leaderboard |
| Problem-first research | Published | 195 | 7 (5 paraphrase groups) | 10 | 389 | Open leaderboard |
| Top lists | Published | 198 | 7 (5 paraphrase groups) | 10 | 381 | Open leaderboard |
| Comparisons | Published | 196 | 7 (5 paraphrase groups) | 10 | 321 | Open 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.