---
title: "Machine Relations Index Report, November 2, 2026: atlan.com replaces medium.com as the most-cited graded source in AI Infrastructure / Is it worth it, at 15.61%"
description: "Weekly reading of Machine Relations Index release mri_score_v2.1+2026-11-02+f9aaeca0db15. 21 segment leaders changed; AI Infrastructure / Is it worth it, at 269 observed runs, is the largest segment whose leader was replaced outright. reddit.com has the highest citation rate of the 35,509 cited sour"
canonical: "https://machinerelations.ai/research/machine-relations-index-report-2026-11-02"
---

# Machine Relations Index Report, November 2, 2026: atlan.com replaces medium.com as the most-cited graded source in AI Infrastructure / Is it worth it, at 15.61%

Weekly reading of Machine Relations Index release mri_score_v2.1+2026-11-02+f9aaeca0db15. 21 segment leaders changed; AI Infrastructure / Is it worth it, at 269 observed runs, is the largest segment whose leader was replaced outright. reddit.com has the highest citation rate of the 35,509 cited source domains. The edition lists the ten most-cited sources and editorial publications, the largest week-over-week movers among graded domains and the leader of every published segment.

Canonical URL: https://machinerelations.ai/research/machine-relations-index-report-2026-11-02
Published: 2026-11-02
Research type: Index Analysis
Tags: machine-relations-index, index-report

## Source Body

[atlan.com](https://machinerelations.ai/index/domains/atlan.com) is now the most-cited graded source in [AI Infrastructure / Is it worth it](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth), cited in [15.61%](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) of that segment's observed runs, replacing [medium.com](https://machinerelations.ai/index/domains/medium.com). At 269 observed runs, it is the largest segment whose leader was replaced outright; 21 segment leaders changed against the release a week earlier, all listed below.

In the November 2, 2026 release of the Machine Relations Index (`mri_score_v2.1+2026-11-02+f9aaeca0db15`), [reddit.com](https://machinerelations.ai/index/domains/reddit.com) was cited in [7.44%](https://machinerelations.ai/index/domains/reddit.com) of observed AI answer runs, 2,612 of 35,111: the highest citation rate of the 35,509 source domains the Index has seen cited, at confidence tier A. In the release a week earlier (`mri_score_v2.1+2026-10-26+ff67a630fa8e`), its rate was 8.06%, 2,551 of 31,659 runs. Across the 170-day window it was cited by Gemini, Google AI Mode, Google AI Overviews and Perplexity, and not by ChatGPT or Claude.

This is the weekly Machine Relations Index Report, built by code from the Index's daily public release and compared with the release of October 26, 2026. Every figure links to the Index page that publishes it. The previous edition is [Machine Relations Index Report, October 26, 2026: alibaba.com replaces reddit.com as the most-cited graded source in Consumer Products / Is it worth it, at 19.76%](https://machinerelations.ai/research/machine-relations-index-report-2026-10-26).

## The release at a glance

| Measure | Release 2026-10-26 | Release 2026-11-02 | Change |
| --- | --- | --- | --- |
| Observation window | 163 days | [170 days](https://machinerelations.ai/index) | +7 days |
| Observed answer runs | 31,659 | [35,111](https://machinerelations.ai/index) | +3,452 |
| Citation events | 222,880 | [242,261](https://machinerelations.ai/index) | +19,381 |
| Cited source domains | 33,944 | [35,509](https://machinerelations.ai/index) | +1,565 |
| Eligible questions in the basket | 1,255 | [1,255](https://machinerelations.ai/index) | unchanged |
| Published segments | 128 of 151 | [138 of 151](https://machinerelations.ai/index) | +10 |
| Segments still collecting | 23 | [13](https://machinerelations.ai/index) | -10 |
| Graded domains, tiers A / B / C | 24 / 127 / 831 | [25 / 140 / 922](https://machinerelations.ai/index) | +105 |

A segment is one subject category paired with one question shape. It publishes once it has 10 observed runs across 7 distinct run dates. A citation rate is the share of observed answer runs in which at least one engine cited the domain.

ChatGPT cites editorial publications 2.5 times as often as Google AI Overviews: 40.4% of classified citations (3,672 of 9,098) against 16.3% (469 of 2,877), as of November 2, 2026.

## The ten most-cited sources

| Rank | Source | Source role | Citation rate | Runs cited | Tier | Engines citing | Rank a week earlier |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | [reddit.com](https://machinerelations.ai/index/domains/reddit.com) | Community and social platform | [7.44%](https://machinerelations.ai/index/domains/reddit.com) | 2,612 of 35,111 | A | 4 of 6 | 1 |
| 2 | [youtube.com](https://machinerelations.ai/index/domains/youtube.com) | Search or media platform | [6.19%](https://machinerelations.ai/index/domains/youtube.com) | 2,172 of 35,111 | A | 6 of 6 | 2 |
| 3 | [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | Community and social platform | [4.76%](https://machinerelations.ai/index/domains/linkedin.com) | 1,672 of 35,111 | A | 6 of 6 | 3 |
| 4 | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) | Editorial publication | [3.42%](https://machinerelations.ai/index/domains/forbes.com) | 1,202 of 35,111 | A | 6 of 6 | 4 |
| 5 | [medium.com](https://machinerelations.ai/index/domains/medium.com) | Community and social platform | [2.97%](https://machinerelations.ai/index/domains/medium.com) | 1,044 of 35,111 | A | 6 of 6 | 5 |
| 6 | [techradar.com](https://machinerelations.ai/index/domains/techradar.com) | Editorial publication | [2.80%](https://machinerelations.ai/index/domains/techradar.com) | 982 of 35,111 | A | 6 of 6 | 6 |
| 7 | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org) | Academic and government source | [2.55%](https://machinerelations.ai/index/domains/arxiv.org) | 895 of 35,111 | A | 6 of 6 | 7 |
| 8 | [g2.com](https://machinerelations.ai/index/domains/g2.com) | Market and company database | [2.20%](https://machinerelations.ai/index/domains/g2.com) | 772 of 35,111 | A | 6 of 6 | 8 |
| 9 | [nih.gov](https://machinerelations.ai/index/domains/nih.gov) | Academic and government source | [1.98%](https://machinerelations.ai/index/domains/nih.gov) | 695 of 35,111 | A | 6 of 6 | 9 |
| 10 | [yahoo.com](https://machinerelations.ai/index/domains/yahoo.com) | Editorial publication | [1.82%](https://machinerelations.ai/index/domains/yahoo.com) | 639 of 35,111 | A | 5 of 6 | 10 |

Rates are measured over all 35,111 observed runs, so they read lower than any single segment's rate. "Engines citing" counts the engines observed citing the domain at least once in the window. Each engine's own ranking of sources, from the current release, is at [machinerelations.ai/index/engines](https://machinerelations.ai/index/engines).

## The ten most-cited editorial publications

| Rank among 1,260 classified editorial publications | Publication | Citation rate | Runs cited | Tier | Engines citing |
| --- | --- | --- | --- | --- | --- |
| 1 | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) | [3.42%](https://machinerelations.ai/index/domains/forbes.com) | 1,202 of 35,111 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 2 | [techradar.com](https://machinerelations.ai/index/domains/techradar.com) | [2.80%](https://machinerelations.ai/index/domains/techradar.com) | 982 of 35,111 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 3 | [yahoo.com](https://machinerelations.ai/index/domains/yahoo.com) | [1.82%](https://machinerelations.ai/index/domains/yahoo.com) | 639 of 35,111 | A | ChatGPT, Claude, Google AI Mode, Google AI Overviews and Perplexity |
| 4 | [healthline.com](https://machinerelations.ai/index/domains/healthline.com) | [1.56%](https://machinerelations.ai/index/domains/healthline.com) | 546 of 35,111 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 5 | [nerdwallet.com](https://machinerelations.ai/index/domains/nerdwallet.com) | [1.36%](https://machinerelations.ai/index/domains/nerdwallet.com) | 476 of 35,111 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 6 | [techtarget.com](https://machinerelations.ai/index/domains/techtarget.com) | [1.19%](https://machinerelations.ai/index/domains/techtarget.com) | 418 of 35,111 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 7 | [nytimes.com](https://machinerelations.ai/index/domains/nytimes.com) | [1.03%](https://machinerelations.ai/index/domains/nytimes.com) | 362 of 35,111 | B | Google AI Mode, Google AI Overviews and Perplexity |
| 8 | [tomsguide.com](https://machinerelations.ai/index/domains/tomsguide.com) | [0.84%](https://machinerelations.ai/index/domains/tomsguide.com) | 294 of 35,111 | B | ChatGPT, Claude, Gemini and Perplexity |
| 9 | [cnbc.com](https://machinerelations.ai/index/domains/cnbc.com) | [0.83%](https://machinerelations.ai/index/domains/cnbc.com) | 293 of 35,111 | B | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 10 | [peoplemanagingpeople.com](https://machinerelations.ai/index/domains/peoplemanagingpeople.com) | [0.81%](https://machinerelations.ai/index/domains/peoplemanagingpeople.com) | 285 of 35,111 | B | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |

## Engine coverage

| Engine | Model | Status | Days answered | Runs returned | Runs with a citation | Runs returned a week earlier |
| --- | --- | --- | --- | --- | --- | --- |
| ChatGPT | gpt-4.1-mini-2025-04-14 | healthy | 166 | 8,247 | 7,348 | 7,274 |
| Claude | claude-haiku-4-5-20251001 | healthy | 169 | 8,285 | 6,639 | 7,307 |
| Gemini | gemini-3.8-flash | degraded | 145 | 7,408 | 2,250 | 7,081 |
| Google AI Mode | not disclosed | healthy | 127 | 2,255 | 1,731 | 2,103 |
| Google AI Overviews | not disclosed | healthy | 110 | 1,529 | 1,022 | 1,455 |
| Perplexity | sonar | healthy | 170 | 8,365 | 8,364 | 7,387 |

Engine counts come from the release manifest at [machinerelations.ai/data/mri-release-manifest.json](https://machinerelations.ai/data/mri-release-manifest.json). An engine that answers on fewer days contributes fewer runs to every rate above.

**ChatGPT runs.** They go through OpenAI's API with web search switched on, using the model each release names in its engine roster: gpt-4.1-mini-2025-04-14 in current releases, while earlier runs in the window were answered by gpt-4o-mini-search-preview-2025-03-11. That is the retrieval layer apps and research agents built on OpenAI's API use. The signed-in ChatGPT app answers with its own models and search pipeline and cites differently: a preprint submitted on 2026-10-11 and not yet peer reviewed found that Google Search and OpenAI's API on comparable models together recovered about half of the hostnames ChatGPT Web cited (48.7 and 50.3 percent on two model settings) and 26 to 28 percent of its exact URLs ([arXiv 2610.15382v1](https://arxiv.org/abs/2610.15382v1)). Claude, Gemini and Perplexity runs are likewise API runs with web search, on the models the roster names.

**Method note, 2026-09-25.** From that date, Google AI Mode and Google AI Overviews runs come through a different collection path than earlier runs, with no overlapping days, and answers collected on the two paths differ in how many distinct domains each cites. Per-answer figures for those two engines are read within one side of 2026-09-25, not as a trend across it.

## Largest week-over-week movers among graded domains

Of the 981 domains graded A, B or C in both releases, these rates moved most. Change is the difference between the two published cumulative rates, in percentage points. It records that a rate moved, not why: in the same week the basket went from 1,255 to 1,255 eligible questions and observed runs from 31,659 to 35,111, so a moved rate can reflect what was asked as much as how engines cite.

### Rates that rose

| Source | Tier now (a week earlier) | Rate now | Rate a week earlier | Change |
| --- | --- | --- | --- | --- |
| [guideflow.com](https://machinerelations.ai/index/domains/guideflow.com) | A (A) | [1.51%](https://machinerelations.ai/index/domains/guideflow.com) | 1.39% | +0.12 pts |
| [rework.com](https://machinerelations.ai/index/domains/rework.com) | B (B) | [0.56%](https://machinerelations.ai/index/domains/rework.com) | 0.47% | +0.09 pts |
| [hubspot.com](https://machinerelations.ai/index/domains/hubspot.com) | A (A) | [1.29%](https://machinerelations.ai/index/domains/hubspot.com) | 1.21% | +0.08 pts |
| [github.com](https://machinerelations.ai/index/domains/github.com) | A (A) | [1.08%](https://machinerelations.ai/index/domains/github.com) | 1.02% | +0.06 pts |
| [avoma.com](https://machinerelations.ai/index/domains/avoma.com) | C (C) | [0.23%](https://machinerelations.ai/index/domains/avoma.com) | 0.18% | +0.05 pts |

### Rates that fell

| Source | Tier now (a week earlier) | Rate now | Rate a week earlier | Change |
| --- | --- | --- | --- | --- |
| [reddit.com](https://machinerelations.ai/index/domains/reddit.com) | A (A) | [7.44%](https://machinerelations.ai/index/domains/reddit.com) | 8.06% | -0.62 pts |
| [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | A (A) | [4.76%](https://machinerelations.ai/index/domains/linkedin.com) | 5.07% | -0.31 pts |
| [youtube.com](https://machinerelations.ai/index/domains/youtube.com) | A (A) | [6.19%](https://machinerelations.ai/index/domains/youtube.com) | 6.47% | -0.28 pts |
| [medium.com](https://machinerelations.ai/index/domains/medium.com) | A (A) | [2.97%](https://machinerelations.ai/index/domains/medium.com) | 3.22% | -0.25 pts |
| [forbes.com](https://machinerelations.ai/index/domains/forbes.com) | A (A) | [3.42%](https://machinerelations.ai/index/domains/forbes.com) | 3.62% | -0.20 pts |

## Segment leaders that changed

| Category | Question shape | Leader a week earlier | Leader now | Rate now |
| --- | --- | --- | --- | --- |
| AI Infrastructure | Is it worth it | [medium.com](https://machinerelations.ai/index/domains/medium.com), 16.19% | [atlan.com](https://machinerelations.ai/index/domains/atlan.com) | [15.61%](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) |
| AI Visibility & GEO | Best tools | [seranking.com](https://machinerelations.ai/index/domains/seranking.com), 22.90% | [otterly.ai](https://machinerelations.ai/index/domains/otterly.ai) and [seranking.com](https://machinerelations.ai/index/domains/seranking.com) (tied) | [22.54%](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) |
| AI Visibility & GEO | Is it worth it | [hubspot.com](https://machinerelations.ai/index/domains/hubspot.com) and [reddit.com](https://machinerelations.ai/index/domains/reddit.com) (tied), 17.61% | [hubspot.com](https://machinerelations.ai/index/domains/hubspot.com) | [17.59%](https://machinerelations.ai/index/categories/ai-visibility-geo/is_x_worth) |
| Consumer Finance | Best tools | [forbes.com](https://machinerelations.ai/index/domains/forbes.com), 32.93% | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) and [nerdwallet.com](https://machinerelations.ai/index/domains/nerdwallet.com) (tied) | [30.47%](https://machinerelations.ai/index/categories/consumer-finance/best_x) |
| Deep Tech & Hardware | Comparisons | [youtube.com](https://machinerelations.ai/index/domains/youtube.com), 16.67% | [nvidia.com](https://machinerelations.ai/index/domains/nvidia.com) | [16.74%](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) |
| Education & Training | Is it worth it | [theworkademy.com](https://machinerelations.ai/index/domains/theworkademy.com), 15.23% | [elearningindustry.com](https://machinerelations.ai/index/domains/elearningindustry.com) and [theworkademy.com](https://machinerelations.ai/index/domains/theworkademy.com) (tied) | [14.61%](https://machinerelations.ai/index/categories/education-training/is_x_worth) |
| Education & Training | Top lists | [d2l.com](https://machinerelations.ai/index/domains/d2l.com), 13.04% | [d2l.com](https://machinerelations.ai/index/domains/d2l.com) and [valamis.com](https://machinerelations.ai/index/domains/valamis.com) (tied) | [12.61%](https://machinerelations.ai/index/categories/education-training/top_list) |
| Emergent Prosumer | How buyers choose | [soundcore.com](https://machinerelations.ai/index/domains/soundcore.com), 15.92% | [atomm.com](https://machinerelations.ai/index/domains/atomm.com) | [16.14%](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) |
| Emergent Prosumer | Is it worth it | [layer3labs.io](https://machinerelations.ai/index/domains/layer3labs.io) and [plaud.ai](https://machinerelations.ai/index/domains/plaud.ai) (tied), 19.32% | [plaud.ai](https://machinerelations.ai/index/domains/plaud.ai) | [19.65%](https://machinerelations.ai/index/categories/emergent-prosumer/is_x_worth) |
| Enterprise Software | Problem-first research | [zapier.com](https://machinerelations.ai/index/domains/zapier.com), 8.17% | [manageengine.com](https://machinerelations.ai/index/domains/manageengine.com) | [7.79%](https://machinerelations.ai/index/categories/enterprise-software/problem_first) |
| Enterprise Software | Top lists | [procurify.com](https://machinerelations.ai/index/domains/procurify.com), 15.46% | [procuredesk.com](https://machinerelations.ai/index/domains/procuredesk.com) and [procurify.com](https://machinerelations.ai/index/domains/procurify.com) (tied) | [15.22%](https://machinerelations.ai/index/categories/enterprise-software/top_list) |
| HR & Talent | How buyers choose | [pin.com](https://machinerelations.ai/index/domains/pin.com), 12.75% | [lever.co](https://machinerelations.ai/index/domains/lever.co) | [12.83%](https://machinerelations.ai/index/categories/hr-talent/how_choose) |
| iGaming & Betting | How buyers choose | [jadexconsulting.com](https://machinerelations.ai/index/domains/jadexconsulting.com), 19.44% | [track360.io](https://machinerelations.ai/index/domains/track360.io) | [19.47%](https://machinerelations.ai/index/categories/igaming-betting/how_choose) |
| iGaming & Betting | Problem-first research | [optikpi.com](https://machinerelations.ai/index/domains/optikpi.com), 8.57% | [deucescracked.com](https://machinerelations.ai/index/domains/deucescracked.com) | [13.20%](https://machinerelations.ai/index/categories/igaming-betting/problem_first) |
| iGaming & Betting | Comparisons | [rotowire.com](https://machinerelations.ai/index/domains/rotowire.com), 24.00% | [track360.io](https://machinerelations.ai/index/domains/track360.io) | [24.58%](https://machinerelations.ai/index/categories/igaming-betting/x_vs_y) |
| Industrial | How buyers choose | [industrialmonitordirect.com](https://machinerelations.ai/index/domains/industrialmonitordirect.com), 6.40% | [industrialmonitordirect.com](https://machinerelations.ai/index/domains/industrialmonitordirect.com) and [reliamag.com](https://machinerelations.ai/index/domains/reliamag.com) (tied) | [6.80%](https://machinerelations.ai/index/categories/industrial/how_choose) |
| Industrial | Is it worth it | [oxmaint.com](https://machinerelations.ai/index/domains/oxmaint.com), 10.94% | [americancleanrooms.com](https://machinerelations.ai/index/domains/americancleanrooms.com) | [21.19%](https://machinerelations.ai/index/categories/industrial/is_x_worth) |
| Industrial | Top lists | [iqsdirectory.com](https://machinerelations.ai/index/domains/iqsdirectory.com), 3.25% | [standardbots.com](https://machinerelations.ai/index/domains/standardbots.com) | [17.61%](https://machinerelations.ai/index/categories/industrial/top_list) |
| Local Services | How buyers choose | [serviceagent.ai](https://machinerelations.ai/index/domains/serviceagent.ai), 14.84% | [serviceagent.ai](https://machinerelations.ai/index/domains/serviceagent.ai) and [thumbtack.com](https://machinerelations.ai/index/domains/thumbtack.com) (tied) | [12.92%](https://machinerelations.ai/index/categories/local-services/how_choose) |
| Local Services | Is it worth it | [americashousekeeping.com](https://machinerelations.ai/index/domains/americashousekeeping.com), 19.11% | [americashousekeeping.com](https://machinerelations.ai/index/domains/americashousekeeping.com) and [care.com](https://machinerelations.ai/index/domains/care.com) (tied) | [16.76%](https://machinerelations.ai/index/categories/local-services/is_x_worth) |
| Local Services | Top lists | [angi.com](https://machinerelations.ai/index/domains/angi.com), 22.56% | [thumbtack.com](https://machinerelations.ai/index/domains/thumbtack.com) and [treescouts.com](https://machinerelations.ai/index/domains/treescouts.com) (tied) | [21.15%](https://machinerelations.ai/index/categories/local-services/top_list) |

A leader is the graded domain outside the publisher's related parties with the highest citation rate in the segment, on the segment's own denominator; domains tied on rate are listed together.

## Segments that crossed the evidence floor

| Category | Question shape | Runs observed | Run dates | Leader | Rate |
| --- | --- | --- | --- | --- | --- |
| Physical Consumer Products | How buyers choose | 99 | 7 | [rtings.com](https://machinerelations.ai/index/domains/rtings.com) | [14.14%](https://machinerelations.ai/index/categories/physical-consumer/how_choose) |
| Physical Consumer Products | Is it worth it | 98 | 7 | [tomsguide.com](https://machinerelations.ai/index/domains/tomsguide.com) | [18.37%](https://machinerelations.ai/index/categories/physical-consumer/is_x_worth) |
| Physical Consumer Products | Problem-first research | 94 | 7 | [youtube.com](https://machinerelations.ai/index/domains/youtube.com) | [19.15%](https://machinerelations.ai/index/categories/physical-consumer/problem_first) |
| Physical Consumer Products | Top lists | 96 | 7 | [consumerreports.org](https://machinerelations.ai/index/domains/consumerreports.org) and [nytimes.com](https://machinerelations.ai/index/domains/nytimes.com) (tied) | [18.75%](https://machinerelations.ai/index/categories/physical-consumer/top_list) |
| Physical Consumer Products | Comparisons | 96 | 7 | [youtube.com](https://machinerelations.ai/index/domains/youtube.com) | [22.92%](https://machinerelations.ai/index/categories/physical-consumer/x_vs_y) |
| Professional Services | Best tools | 103 | 7 | [stonehillinnovation.com](https://machinerelations.ai/index/domains/stonehillinnovation.com) | [31.07%](https://machinerelations.ai/index/categories/professional-services/best_x) |
| Professional Services | How buyers choose | 103 | 7 | [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | [10.68%](https://machinerelations.ai/index/categories/professional-services/how_choose) |
| Professional Services | Is it worth it | 104 | 7 | [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | [8.65%](https://machinerelations.ai/index/categories/professional-services/is_x_worth) |
| Sales, GTM & CRM | Comparisons | 94 | 7 | [hubspot.com](https://machinerelations.ai/index/domains/hubspot.com) | [20.21%](https://machinerelations.ai/index/categories/sales-gtm-crm/x_vs_y) |
| VC & Private Equity | Best tools | 91 | 7 | [coyotewealth.com](https://machinerelations.ai/index/domains/coyotewealth.com) | [28.57%](https://machinerelations.ai/index/categories/vc-private-equity/best_x) |

## Segment leaders by category

The leader of every published segment, with its citation rate on that segment's runs. "Collecting" segments have not yet cleared the evidence floor of 10 runs across 7 run dates and carry no leader.

| Category | Best tools | How buyers choose | Is it worth it | Problem-first research | Top lists | Comparisons | News-driven citations |
| --- | --- | --- | --- | --- | --- | --- | --- |
| AI Infrastructure | [medium.com, 27.49%](https://machinerelations.ai/index/categories/ai-infrastructure/best_x) | [arxiv.org, 22.22%](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | [atlan.com, 15.61%](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | [arxiv.org, 12.64%](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | [spheron.network, 29.78%](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | [databricks.com, 22.96%](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | Not measured |
| AI Security & Privacy | [arxiv.org, 34.23%](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | [teramind.co, 18.71%](https://machinerelations.ai/index/categories/ai-security-privacy/how_choose) | [ovaledge.com, 17.35%](https://machinerelations.ai/index/categories/ai-security-privacy/is_x_worth) | [techradar.com, 12.27%](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | [arxiv.org, 27.64%](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | [arxiv.org, 39.22%](https://machinerelations.ai/index/categories/ai-security-privacy/x_vs_y) | Not measured |
| AI Visibility & GEO | [otterly.ai / seranking.com, 22.54%](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) | [youtube.com, 12.06%](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | [hubspot.com, 17.59%](https://machinerelations.ai/index/categories/ai-visibility-geo/is_x_worth) | [youtube.com, 15.61%](https://machinerelations.ai/index/categories/ai-visibility-geo/problem_first) | [tryprofound.com, 18.30%](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | [hubspot.com, 26.25%](https://machinerelations.ai/index/categories/ai-visibility-geo/x_vs_y) | Not measured |
| Consumer Finance | [forbes.com / nerdwallet.com, 30.47%](https://machinerelations.ai/index/categories/consumer-finance/best_x) | [bankrate.com, 24.26%](https://machinerelations.ai/index/categories/consumer-finance/how_choose) | [reddit.com, 19.85%](https://machinerelations.ai/index/categories/consumer-finance/is_x_worth) | [experian.com, 24.26%](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | [nerdwallet.com, 35.53%](https://machinerelations.ai/index/categories/consumer-finance/top_list) | [acorns.com, 31.65%](https://machinerelations.ai/index/categories/consumer-finance/x_vs_y) | Not measured |
| Consumer Health | [healthline.com, 40.66%](https://machinerelations.ai/index/categories/consumer-health/best_x) | [nih.gov, 20.96%](https://machinerelations.ai/index/categories/consumer-health/how_choose) | [uclahealth.org, 30.51%](https://machinerelations.ai/index/categories/consumer-health/is_x_worth) | [clevelandclinic.org, 31.62%](https://machinerelations.ai/index/categories/consumer-health/problem_first) | [thefeed.com, 24.18%](https://machinerelations.ai/index/categories/consumer-health/top_list) | [healthline.com, 24.82%](https://machinerelations.ai/index/categories/consumer-health/x_vs_y) | Not measured |
| Consumer Products | [forbes.com, 29.64%](https://machinerelations.ai/index/categories/consumer-products/best_x) | [livetinted.com, 18.60%](https://machinerelations.ai/index/categories/consumer-products/how_choose) | [alibaba.com, 20.14%](https://machinerelations.ai/index/categories/consumer-products/is_x_worth) | [dialavet.com, 14.34%](https://machinerelations.ai/index/categories/consumer-products/problem_first) | [dogfoodadvisor.com, 18.84%](https://machinerelations.ai/index/categories/consumer-products/top_list) | [petmd.com, 22.91%](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | Not measured |
| Cybersecurity | [huntress.com, 43.70%](https://machinerelations.ai/index/categories/cybersecurity/best_x) | [microsoft.com, 18.05%](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | [paloaltonetworks.com, 22.66%](https://machinerelations.ai/index/categories/cybersecurity/is_x_worth) | [github.com, 18.18%](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | [hoxhunt.com, 23.60%](https://machinerelations.ai/index/categories/cybersecurity/top_list) | [vectra.ai, 25.47%](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) | [paloaltonetworks.com, 13.52%](https://machinerelations.ai/index/categories/cybersecurity/news_topic) |
| Deep Tech & Hardware | [arxiv.org, 19.20%](https://machinerelations.ai/index/categories/deep-tech-hardware/best_x) | [anysilicon.com, 35.60%](https://machinerelations.ai/index/categories/deep-tech-hardware/how_choose) | [vlsishuttle.com, 31.03%](https://machinerelations.ai/index/categories/deep-tech-hardware/is_x_worth) | [analog.com, 17.80%](https://machinerelations.ai/index/categories/deep-tech-hardware/problem_first) | [unmannedsystemstechnology.com, 25.74%](https://machinerelations.ai/index/categories/deep-tech-hardware/top_list) | [nvidia.com, 16.74%](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) | Not measured |
| Education & Training | [reddit.com, 17.23%](https://machinerelations.ai/index/categories/education-training/best_x) | [coggno.com, 17.44%](https://machinerelations.ai/index/categories/education-training/how_choose) | [elearningindustry.com / theworkademy.com, 14.61%](https://machinerelations.ai/index/categories/education-training/is_x_worth) | [indeed.com, 12.39%](https://machinerelations.ai/index/categories/education-training/problem_first) | [d2l.com / valamis.com, 12.61%](https://machinerelations.ai/index/categories/education-training/top_list) | [uopeople.edu, 27.19%](https://machinerelations.ai/index/categories/education-training/x_vs_y) | Not measured |
| Emergent Prosumer | [techradar.com, 22.67%](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | [atomm.com, 16.14%](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | [plaud.ai, 19.65%](https://machinerelations.ai/index/categories/emergent-prosumer/is_x_worth) | [reddit.com, 15.15%](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | [techradar.com, 15.93%](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) | [youtube.com, 29.15%](https://machinerelations.ai/index/categories/emergent-prosumer/x_vs_y) | Not measured |
| Enterprise Software | [erpresearch.com, 37.83%](https://machinerelations.ai/index/categories/enterprise-software/best_x) | [erpresearch.com, 25.88%](https://machinerelations.ai/index/categories/enterprise-software/how_choose) | [erpresearch.com, 34.36%](https://machinerelations.ai/index/categories/enterprise-software/is_x_worth) | [manageengine.com, 7.79%](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | [procuredesk.com / procurify.com, 15.22%](https://machinerelations.ai/index/categories/enterprise-software/top_list) | [erpfocus.com, 14.47%](https://machinerelations.ai/index/categories/enterprise-software/x_vs_y) | [linkedin.com, 11.54%](https://machinerelations.ai/index/categories/enterprise-software/news_topic) |
| Family Software | [techradar.com, 36.44%](https://machinerelations.ai/index/categories/family-software/best_x) | [apple.com, 16.37%](https://machinerelations.ai/index/categories/family-software/how_choose) | [impulsec.com, 20.43%](https://machinerelations.ai/index/categories/family-software/is_x_worth) | [healthychildren.org, 17.28%](https://machinerelations.ai/index/categories/family-software/problem_first) | [apple.com, 29.29%](https://machinerelations.ai/index/categories/family-software/top_list) | [useboomerang.com, 26.25%](https://machinerelations.ai/index/categories/family-software/x_vs_y) | Not measured |
| Fintech | [airwallex.com, 39.75%](https://machinerelations.ai/index/categories/fintech/best_x) | [solidgate.com, 24.35%](https://machinerelations.ai/index/categories/fintech/how_choose) | [paymentsandrisk.com, 21.83%](https://machinerelations.ai/index/categories/fintech/is_x_worth) | [chargeflow.io, 14.96%](https://machinerelations.ai/index/categories/fintech/problem_first) | [stripe.com, 23.08%](https://machinerelations.ai/index/categories/fintech/top_list) | [wise.com, 19.66%](https://machinerelations.ai/index/categories/fintech/x_vs_y) | [linkedin.com, 10.62%](https://machinerelations.ai/index/categories/fintech/news_topic) |
| Healthcare Services | [omnimd.com, 29.20%](https://machinerelations.ai/index/categories/healthcare-services/best_x) | [phreesia.com, 12.33%](https://machinerelations.ai/index/categories/healthcare-services/how_choose) | [nih.gov, 22.41%](https://machinerelations.ai/index/categories/healthcare-services/is_x_worth) | [youtube.com, 12.04%](https://machinerelations.ai/index/categories/healthcare-services/problem_first) | [omnimd.com, 24.53%](https://machinerelations.ai/index/categories/healthcare-services/top_list) | [medicalbillersandcoders.com, 16.88%](https://machinerelations.ai/index/categories/healthcare-services/x_vs_y) | [nih.gov, 26.66%](https://machinerelations.ai/index/categories/healthcare-services/news_topic) |
| HR & Talent | [pin.com, 25.94%](https://machinerelations.ai/index/categories/hr-talent/best_x) | [lever.co, 12.83%](https://machinerelations.ai/index/categories/hr-talent/how_choose) | [performyard.com, 13.57%](https://machinerelations.ai/index/categories/hr-talent/is_x_worth) | [linkedin.com, 17.09%](https://machinerelations.ai/index/categories/hr-talent/problem_first) | [workforce.com, 31.53%](https://machinerelations.ai/index/categories/hr-talent/top_list) | [rippling.com, 18.10%](https://machinerelations.ai/index/categories/hr-talent/x_vs_y) | [unleash.ai, 11.82%](https://machinerelations.ai/index/categories/hr-talent/news_topic) |
| iGaming & Betting | [tigsportsbook.com, 20.10%](https://machinerelations.ai/index/categories/igaming-betting/best_x) | [track360.io, 19.47%](https://machinerelations.ai/index/categories/igaming-betting/how_choose) | [track360.io, 31.94%](https://machinerelations.ai/index/categories/igaming-betting/is_x_worth) | [deucescracked.com, 13.20%](https://machinerelations.ai/index/categories/igaming-betting/problem_first) | [geocomply.com, 24.50%](https://machinerelations.ai/index/categories/igaming-betting/top_list) | [track360.io, 24.58%](https://machinerelations.ai/index/categories/igaming-betting/x_vs_y) | Not measured |
| Industrial | [iqsdirectory.com, 13.16%](https://machinerelations.ai/index/categories/industrial/best_x) | [industrialmonitordirect.com / reliamag.com, 6.80%](https://machinerelations.ai/index/categories/industrial/how_choose) | [americancleanrooms.com, 21.19%](https://machinerelations.ai/index/categories/industrial/is_x_worth) | [oxmaint.com, 11.41%](https://machinerelations.ai/index/categories/industrial/problem_first) | [standardbots.com, 17.61%](https://machinerelations.ai/index/categories/industrial/top_list) | [stamtec.com, 25.00%](https://machinerelations.ai/index/categories/industrial/x_vs_y) | Not measured |
| Legacy News Topics | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured | [linkedin.com, 10.21%](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) |
| Local Services | [angi.com, 19.55%](https://machinerelations.ai/index/categories/local-services/best_x) | [serviceagent.ai / thumbtack.com, 12.92%](https://machinerelations.ai/index/categories/local-services/how_choose) | [americashousekeeping.com / care.com, 16.76%](https://machinerelations.ai/index/categories/local-services/is_x_worth) | [angi.com, 9.63%](https://machinerelations.ai/index/categories/local-services/problem_first) | [thumbtack.com / treescouts.com, 21.15%](https://machinerelations.ai/index/categories/local-services/top_list) | [plumbinatoraustin.com, 18.86%](https://machinerelations.ai/index/categories/local-services/x_vs_y) | Not measured |
| Logistics & Freight | [softwareadvice.com, 15.69%](https://machinerelations.ai/index/categories/logistics-freight/best_x) | [freightwaves.com, 17.61%](https://machinerelations.ai/index/categories/logistics-freight/how_choose) | [shipperguide.com, 19.50%](https://machinerelations.ai/index/categories/logistics-freight/is_x_worth) | [dashdoc.com, 16.28%](https://machinerelations.ai/index/categories/logistics-freight/problem_first) | [deposco.com, 20.44%](https://machinerelations.ai/index/categories/logistics-freight/top_list) | [chrobinson.com, 36.03%](https://machinerelations.ai/index/categories/logistics-freight/x_vs_y) | Not measured |
| Martech & Advertising | [bloomreach.com, 15.56%](https://machinerelations.ai/index/categories/martech-advertising/best_x) | [cdp.com, 25.58%](https://machinerelations.ai/index/categories/martech-advertising/how_choose) | [cdp.com, 34.35%](https://machinerelations.ai/index/categories/martech-advertising/is_x_worth) | [cometly.com, 12.21%](https://machinerelations.ai/index/categories/martech-advertising/problem_first) | [g2.com, 19.00%](https://machinerelations.ai/index/categories/martech-advertising/top_list) | [cdp.com, 28.00%](https://machinerelations.ai/index/categories/martech-advertising/x_vs_y) | [martech.org, 15.74%](https://machinerelations.ai/index/categories/martech-advertising/news_topic) |
| Physical Consumer Products | [tomsguide.com, 22.45%](https://machinerelations.ai/index/categories/physical-consumer/best_x) | [rtings.com, 14.14%](https://machinerelations.ai/index/categories/physical-consumer/how_choose) | [tomsguide.com, 18.37%](https://machinerelations.ai/index/categories/physical-consumer/is_x_worth) | [youtube.com, 19.15%](https://machinerelations.ai/index/categories/physical-consumer/problem_first) | [consumerreports.org / nytimes.com, 18.75%](https://machinerelations.ai/index/categories/physical-consumer/top_list) | [youtube.com, 22.92%](https://machinerelations.ai/index/categories/physical-consumer/x_vs_y) | Not measured |
| Professional Services | [stonehillinnovation.com, 31.07%](https://machinerelations.ai/index/categories/professional-services/best_x) | [linkedin.com, 10.68%](https://machinerelations.ai/index/categories/professional-services/how_choose) | [linkedin.com, 8.65%](https://machinerelations.ai/index/categories/professional-services/is_x_worth) | Collecting | Collecting | Collecting | Not measured |
| Sales, GTM & CRM | Collecting | Collecting | Collecting | Collecting | Collecting | [hubspot.com, 20.21%](https://machinerelations.ai/index/categories/sales-gtm-crm/x_vs_y) | Not measured |
| VC & Private Equity | [coyotewealth.com, 28.57%](https://machinerelations.ai/index/categories/vc-private-equity/best_x) | Collecting | Collecting | Collecting | Collecting | Collecting | Not measured |

## Do the cited sources support the answer?

Answer-Source Fidelity is a separate measurement of claim support, not citation frequency. This edition preserves the published Fidelity snapshot generated **2026-11-01T11:36:36.739Z**; it is not a week-only rate and may cover a different observation period from the Index.

### Legacy baseline — frozen corpus, grade-time fetch basis

Semantic cohort: `c74383df31771cfe`. Cohorts with different measurement semantics are not pooled.

- **ChatGPT (reported):** Of the 1,255 resolvable citations for this engine, 54.8% were Supported; resolvable coverage was 77% (1,255/1,630).
- **Claude (collecting):** Engine still COLLECTING: only 88 of 1,361 citations were resolvable (coverage 6.5%) — below the evidence floor, so no fidelity rate is reported.
- **Gemini (collecting):** Engine still COLLECTING: only 392 of 4,349 citations were resolvable (coverage 9%) — below the evidence floor, so no fidelity rate is reported.
- **Perplexity (reported):** Of the 1,298 resolvable citations for this engine, 50.1% were Supported; resolvable coverage was 47.6% (1,298/2,726).

### Collection-time series — snapshot basis, bounded snapshot retry + deferral (F4-3)

Semantic cohort: `06ddb22c15fa05d0`. Cohorts with different measurement semantics are not pooled.

- **ChatGPT (reported):** Of the 12,128 resolvable citations for this engine, 53.2% were Supported; resolvable coverage was 76.6% (12,128/15,837).
- **Claude (collecting):** Engine still COLLECTING: only 0 of 0 citations were resolvable (coverage 0%) — below the evidence floor, so no fidelity rate is reported.
- **Gemini (collecting):** Engine still COLLECTING: only 0 of 0 citations were resolvable (coverage 0%) — below the evidence floor, so no fidelity rate is reported.
- **Perplexity (collecting):** Engine still COLLECTING: only 0 of 0 citations were resolvable (coverage 0%) — below the evidence floor, so no fidelity rate is reported.

### Collection-time series — snapshot basis, bounded snapshot retry + deferral (F4-3), 12.5% random sample of every engine's citations

Semantic cohort: `36357120b9cc2a56`. Cohorts with different measurement semantics are not pooled.

- **ChatGPT (reported):** Of the 758 resolvable citations in a 12.5% random sample of this engine's citations, 54.5% were Supported (±3.3 pts, 95%); resolvable coverage was 82.8% (758/915 sampled, ±2.3 pts).
- **Claude (collecting):** Still COLLECTING: only 59 of 961 citations in a 12.5% random sample of this engine's citations were resolvable (coverage 6.1% ±1.4 pts) — below the evidence floor, so no fidelity rate is reported.
- **Gemini (collecting):** Still COLLECTING: only 19 of 133 citations in a 12.5% random sample of this engine's citations were resolvable (coverage 14.3% ±5.6 pts) — below the evidence floor, so no fidelity rate is reported.
- **Perplexity (reported):** Of the 977 resolvable citations in a 12.5% random sample of this engine's citations, 52% were Supported (±2.9 pts, 95%); resolvable coverage was 47.3% (977/2,066 sampled, ±2 pts).

Published dataset SHA-256: `634e012fc5969bfbd813cab2f9b34642de1c0dcdbd48d7a77137a1f1c79eb4a1`. [Current measurement and method](https://machinerelations.ai/measurement/answer-source-fidelity) · [Current dataset](https://machinerelations.ai/measurement/answer-source-fidelity/data.json). The linked dataset advances; the snapshot above stays fixed with this edition.

## How this report is built

- Source: Machine Relations Index release `mri_score_v2.1+2026-11-02+f9aaeca0db15` (methodology mri_score_v2.1, window 2026-05-10 to 2026-11-02), compared with `mri_score_v2.1+2026-10-26+ff67a630fa8e`. The current release is public at [machinerelations.ai/data/machine-relations-index.json](https://machinerelations.ai/data/machine-relations-index.json); figures for the earlier release are read from the same file as committed on 2026-10-26.
- Rates are cumulative over the observation window, not rates for the week alone. Week-over-week change compares two published rates and is never read as a cause.
- Only segments the release publishes, at 10 or more observed runs across 7 or more run dates, are reported. Only domains with a confidence tier (A, B or C) are ranked or listed as movers; tiers are the Index's own.
- Domains operated by the publisher of this site or its related parties (authoritytech.io, machinerelations.ai, jaxonparrott.com, christianlehman.com, presspool.ai, paralabs.ai, paralax.ai) are left out of every ranking in this report. Their Index profiles remain public.
- The method is set out at [machinerelations.ai/index](https://machinerelations.ai/index), and known data issues and corrections are logged in the [Index methodology and update log](https://machinerelations.ai/research/ai-citation-index-correction-record-2026). Corrections to an edition are made there and in the edition.

## FAQ

**What is the Machine Relations Index Report?** A weekly reading of the daily public release of the Machine Relations Index: the most-cited sources, the largest movers among graded domains and the leader of every published segment, each figure tied to a release id and linked to the Index page that publishes it.

**Does a first place mean a source is better?** No. It means answer engines cited it most often for that question shape in that category during the window. The Index measures citation, not accuracy; whether a cited source supports the answer is a separate measurement.

**Why can a rate fall while a source gains citations?** A rate is citations over observed runs. reddit.com was cited in 2,612 runs across its observation window against 2,551 in the window a week earlier, while observed runs grew to 35,111; the rate moves with both.

## Cite this edition

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. atlan.com replaces medium.com as the most-cited graded source in AI Infrastructure / Is it worth it, at 15.61%. Release mri_score_v2.1+2026-11-02+f9aaeca0db15. https://machinerelations.ai/research/machine-relations-index-report-2026-11-02 CC BY 4.0.

APA

Parrott, J. (2026). Machine Relations Index Report, November 2, 2026: atlan.com replaces medium.com as the most-cited graded source in AI Infrastructure / Is it worth it, at 15.61% (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/research/machine-relations-index-report-2026-11-02

BibTeX

```bibtex
@misc{parrott2026mrimachinerelationsindexreport20261102,
  author = {Parrott, Jaxon},
  title = {Machine Relations Index Report, November 2, 2026: atlan.com replaces medium.com as the most-cited graded source in AI Infrastructure / Is it worth it, at 15.61\%},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-02+f9aaeca0db15},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/research/machine-relations-index-report-2026-11-02%7D
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}
```

Citation file: https://machinerelations.ai/CITATION.cff

## Attribution

This research is published by Machine Relations Research, the research program of machinerelations.ai — the public research initiative that publishes the glossary, research, evidence, and measurements for the Machine Relations discipline. Provenance and editorial standards: https://machinerelations.ai/about

## Machine-readable related links

### Related concepts

- [Machine Relations Index (MRI)](https://machinerelations.ai/glossary/machine-relations-index)
- [MRI Score](https://machinerelations.ai/glossary/mri-score)
- [Machine Relations (MR)](https://machinerelations.ai/glossary/machine-relations)
- [AI Visibility](https://machinerelations.ai/glossary/ai-visibility)

### Supporting research

- [Machine Relations Index Report, October 26, 2026: alibaba.com replaces reddit.com as the most-cited graded source in Consumer Products / Is it worth it, at 19.76%](https://machinerelations.ai/research/machine-relations-index-report-2026-10-26)
- [Machine Relations Index Report, October 19, 2026: arxiv.org replaces ovaledge.com as the most-cited graded source in AI Security & Privacy / Top lists, at 26.91%](https://machinerelations.ai/research/machine-relations-index-report-2026-10-19)
- [Machine Relations Index Report, October 12, 2026: reddit.com is cited in 10.02% of 23,940 observed AI answer runs](https://machinerelations.ai/research/machine-relations-index-report-2026-10-12)
- [Machine Relations Index Report, October 6, 2026: reddit.com is cited in 10.62% of 21,813 observed AI answer runs](https://machinerelations.ai/research/machine-relations-index-report-2026-10-06)

### Framework context

- [Machine Relations Index](https://machinerelations.ai/index)
- [Machine Relations Stack](https://machinerelations.ai/stack)
- [Evidence Base](https://machinerelations.ai/evidence)