# Machine Relations Index Report, latest edition: reddit.com is cited in 10.44% of 22,344 observed AI answer runs

The newest weekly Machine Relations Index Report, from release mri_score_v2.0+2026-10-07+95c592f6663c. reddit.com has the highest citation rate of the 28,066 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
Published: 2026-10-07
Research type: Index Analysis
Tags: machine-relations-index, index-report

## Source Body

This page always carries the newest weekly edition. This edition, built from the October 7, 2026 release, is permanently at [machinerelations.ai/research/machine-relations-index-report-2026-10-07](https://machinerelations.ai/research/machine-relations-index-report-2026-10-07).

In the October 7, 2026 release of the Machine Relations Index (`mri_score_v2.0+2026-10-07+95c592f6663c`), [reddit.com](https://machinerelations.ai/index/domains/reddit.com) was cited in [10.44%](https://machinerelations.ai/index/domains/reddit.com) of observed AI answer runs, 2,333 of 22,344: the highest citation rate of the 28,066 source domains the Index has seen cited, at confidence tier A. In the release a week earlier (`mri_score_v2.0+2026-09-30+f16ab66ee5f1`), its rate was 11.49%, 2,176 of 18,935 runs. Across the 144-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 September 30, 2026. Every figure links to the Index page that publishes it. The previous edition is [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).

## The release at a glance

| Measure | Release 2026-09-30 | Release 2026-10-07 | Change |
| --- | --- | --- | --- |
| Observation window | 137 days | [144 days](https://machinerelations.ai/index) | +7 days |
| Observed answer runs | 18,935 | [22,344](https://machinerelations.ai/index) | +3,409 |
| Citation events | 147,293 | [170,886](https://machinerelations.ai/index) | +23,593 |
| Cited source domains | 25,624 | [28,066](https://machinerelations.ai/index) | +2,442 |
| Eligible questions in the basket | 1,010 | [1,073](https://machinerelations.ai/index) | +63 |
| Published segments | 100 of 151 | [107 of 151](https://machinerelations.ai/index) | +7 |
| Segments still collecting | 51 | [44](https://machinerelations.ai/index) | -7 |
| Graded domains, tiers A / B / C | 15 / 69 / 505 | [17 / 89 / 597](https://machinerelations.ai/index) | +114 |

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.

## 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 | [10.44%](https://machinerelations.ai/index/domains/reddit.com) | 2,333 of 22,344 | A | 4 of 6 | 1 |
| 2 | [youtube.com](https://machinerelations.ai/index/domains/youtube.com) | Search or media platform | [7.38%](https://machinerelations.ai/index/domains/youtube.com) | 1,649 of 22,344 | A | 6 of 6 | 2 |
| 3 | [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | Community and social platform | [5.94%](https://machinerelations.ai/index/domains/linkedin.com) | 1,327 of 22,344 | A | 6 of 6 | 3 |
| 4 | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) | Editorial publication | [4.17%](https://machinerelations.ai/index/domains/forbes.com) | 931 of 22,344 | A | 6 of 6 | 5 |
| 5 | [medium.com](https://machinerelations.ai/index/domains/medium.com) | Community and social platform | [4.03%](https://machinerelations.ai/index/domains/medium.com) | 900 of 22,344 | A | 6 of 6 | 4 |
| 6 | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org) | Academic and government source | [2.81%](https://machinerelations.ai/index/domains/arxiv.org) | 628 of 22,344 | A | 6 of 6 | 8 |
| 7 | [nih.gov](https://machinerelations.ai/index/domains/nih.gov) | Academic and government source | [2.69%](https://machinerelations.ai/index/domains/nih.gov) | 602 of 22,344 | A | 6 of 6 | 6 |
| 8 | [techradar.com](https://machinerelations.ai/index/domains/techradar.com) | Editorial publication | [2.69%](https://machinerelations.ai/index/domains/techradar.com) | 602 of 22,344 | A | 4 of 6 | 7 |
| 9 | [g2.com](https://machinerelations.ai/index/domains/g2.com) | Market and company database | [2.64%](https://machinerelations.ai/index/domains/g2.com) | 589 of 22,344 | A | 6 of 6 | 9 |
| 10 | [gartner.com](https://machinerelations.ai/index/domains/gartner.com) | Analyst and consulting research | [2.31%](https://machinerelations.ai/index/domains/gartner.com) | 516 of 22,344 | A | 6 of 6 | 10 |

Rates are measured over all 22,344 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. The public release does not publish a per-engine citation rate, so this report does not rank sources engine by engine.

## The ten most-cited editorial publications

| Rank among 1,643 classified editorial publications | Publication | Citation rate | Runs cited | Tier | Engines citing |
| --- | --- | --- | --- | --- | --- |
| 1 | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) | [4.17%](https://machinerelations.ai/index/domains/forbes.com) | 931 of 22,344 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 2 | [techradar.com](https://machinerelations.ai/index/domains/techradar.com) | [2.69%](https://machinerelations.ai/index/domains/techradar.com) | 602 of 22,344 | A | ChatGPT, Claude, Gemini and Perplexity |
| 3 | [yahoo.com](https://machinerelations.ai/index/domains/yahoo.com) | [2.12%](https://machinerelations.ai/index/domains/yahoo.com) | 473 of 22,344 | A | ChatGPT, Claude, Google AI Mode, Google AI Overviews and Perplexity |
| 4 | [healthline.com](https://machinerelations.ai/index/domains/healthline.com) | [1.85%](https://machinerelations.ai/index/domains/healthline.com) | 414 of 22,344 | B | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 5 | [nerdwallet.com](https://machinerelations.ai/index/domains/nerdwallet.com) | [1.59%](https://machinerelations.ai/index/domains/nerdwallet.com) | 356 of 22,344 | A | ChatGPT, Claude, Google AI Mode, Google AI Overviews and Perplexity |
| 6 | [techtarget.com](https://machinerelations.ai/index/domains/techtarget.com) | [1.45%](https://machinerelations.ai/index/domains/techtarget.com) | 325 of 22,344 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 7 | [nytimes.com](https://machinerelations.ai/index/domains/nytimes.com) | [1.00%](https://machinerelations.ai/index/domains/nytimes.com) | 223 of 22,344 | B | Google AI Mode, Google AI Overviews and Perplexity |
| 8 | [cnbc.com](https://machinerelations.ai/index/domains/cnbc.com) | [0.97%](https://machinerelations.ai/index/domains/cnbc.com) | 216 of 22,344 | B | ChatGPT, Claude, Google AI Mode, Google AI Overviews and Perplexity |
| 9 | [peoplemanagingpeople.com](https://machinerelations.ai/index/domains/peoplemanagingpeople.com) | [0.92%](https://machinerelations.ai/index/domains/peoplemanagingpeople.com) | 206 of 22,344 | B | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 10 | [pcmag.com](https://machinerelations.ai/index/domains/pcmag.com) | [0.86%](https://machinerelations.ai/index/domains/pcmag.com) | 193 of 22,344 | B | 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 | 140 | 4,791 | 4,174 | 3,997 |
| Claude | claude-haiku-4-5-20251001 | healthy | 143 | 4,887 | 4,000 | 4,090 |
| Gemini | gemini-3.8-flash | degraded | 122 | 4,887 | 1,985 | 4,090 |
| Google AI Mode | not disclosed | healthy | 102 | 1,699 | 1,348 | 1,568 |
| Google AI Overviews | not disclosed | healthy | 85 | 1,186 | 747 | 1,093 |
| Perplexity | sonar | healthy | 144 | 4,894 | 4,893 | 4,097 |

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.

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

Of the 589 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 1,010 to 1,073 eligible questions and observed runs from 18,935 to 22,344, 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 |
| --- | --- | --- | --- | --- |
| [angi.com](https://machinerelations.ai/index/domains/angi.com) | C (C) | [0.42%](https://machinerelations.ai/index/domains/angi.com) | 0.27% | +0.15 pts |
| [thumbtack.com](https://machinerelations.ai/index/domains/thumbtack.com) | C (C) | [0.36%](https://machinerelations.ai/index/domains/thumbtack.com) | 0.24% | +0.12 pts |
| [cnet.com](https://machinerelations.ai/index/domains/cnet.com) | B (C) | [0.60%](https://machinerelations.ai/index/domains/cnet.com) | 0.49% | +0.11 pts |
| [yahoo.com](https://machinerelations.ai/index/domains/yahoo.com) | A (A) | [2.12%](https://machinerelations.ai/index/domains/yahoo.com) | 2.01% | +0.11 pts |
| [guideflow.com](https://machinerelations.ai/index/domains/guideflow.com) | B (B) | [1.23%](https://machinerelations.ai/index/domains/guideflow.com) | 1.13% | +0.10 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) | [10.44%](https://machinerelations.ai/index/domains/reddit.com) | 11.49% | -1.05 pts |
| [youtube.com](https://machinerelations.ai/index/domains/youtube.com) | A (A) | [7.38%](https://machinerelations.ai/index/domains/youtube.com) | 8.10% | -0.72 pts |
| [medium.com](https://machinerelations.ai/index/domains/medium.com) | A (A) | [4.03%](https://machinerelations.ai/index/domains/medium.com) | 4.49% | -0.46 pts |
| [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | A (A) | [5.94%](https://machinerelations.ai/index/domains/linkedin.com) | 6.33% | -0.39 pts |
| [landbase.com](https://machinerelations.ai/index/domains/landbase.com) | A (A) | [1.35%](https://machinerelations.ai/index/domains/landbase.com) | 1.59% | -0.24 pts |

## Segment leaders that changed

| Category | Question shape | Leader a week earlier | Leader now | Rate now |
| --- | --- | --- | --- | --- |
| AI Infrastructure | Problem-first research | [reddit.com](https://machinerelations.ai/index/domains/reddit.com), 18.38% | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org) and [reddit.com](https://machinerelations.ai/index/domains/reddit.com) (tied) | [15.76%](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) |
| AI Security & Privacy | Problem-first research | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org), 17.04% | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org) and [techradar.com](https://machinerelations.ai/index/domains/techradar.com) (tied) | [15.85%](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) |
| AI Visibility & GEO | Best tools | [therankmasters.com](https://machinerelations.ai/index/domains/therankmasters.com), 23.94% | [seranking.com](https://machinerelations.ai/index/domains/seranking.com) | [22.67%](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) |
| AI Visibility & GEO | Top lists | [youtube.com](https://machinerelations.ai/index/domains/youtube.com), 26.73% | [tryprofound.com](https://machinerelations.ai/index/domains/tryprofound.com) and [youtube.com](https://machinerelations.ai/index/domains/youtube.com) (tied) | [22.31%](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) |
| Cybersecurity | Comparisons | [exabeam.com](https://machinerelations.ai/index/domains/exabeam.com), 24.82% | [vectra.ai](https://machinerelations.ai/index/domains/vectra.ai) | [24.55%](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) |
| Deep Tech & Hardware | Comparisons | [reddit.com](https://machinerelations.ai/index/domains/reddit.com), 19.26% | [nvidia.com](https://machinerelations.ai/index/domains/nvidia.com) and [reddit.com](https://machinerelations.ai/index/domains/reddit.com) and [youtube.com](https://machinerelations.ai/index/domains/youtube.com) (tied) | [16.36%](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) |
| Education & Training | Is it worth it | [reddit.com](https://machinerelations.ai/index/domains/reddit.com), 18.46% | [theworkademy.com](https://machinerelations.ai/index/domains/theworkademy.com) | [16.35%](https://machinerelations.ai/index/categories/education-training/is_x_worth) |
| Education & Training | Problem-first research | [indeed.com](https://machinerelations.ai/index/domains/indeed.com) and [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) (tied), 13.08% | [indeed.com](https://machinerelations.ai/index/domains/indeed.com) | [13.21%](https://machinerelations.ai/index/categories/education-training/problem_first) |
| Education & Training | Comparisons | [reddit.com](https://machinerelations.ai/index/domains/reddit.com), 21.71% | [uopeople.edu](https://machinerelations.ai/index/domains/uopeople.edu) | [27.04%](https://machinerelations.ai/index/categories/education-training/x_vs_y) |
| Emergent Prosumer | Top lists | [digitalcameraworld.com](https://machinerelations.ai/index/domains/digitalcameraworld.com) and [reddit.com](https://machinerelations.ai/index/domains/reddit.com) (tied), 19.80% | [digitalcameraworld.com](https://machinerelations.ai/index/domains/digitalcameraworld.com) | [18.32%](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) |
| Enterprise Software | Problem-first research | [reddit.com](https://machinerelations.ai/index/domains/reddit.com), 13.21% | [zapier.com](https://machinerelations.ai/index/domains/zapier.com) | [11.03%](https://machinerelations.ai/index/categories/enterprise-software/problem_first) |
| Enterprise Software | Top lists | [wifitalents.com](https://machinerelations.ai/index/domains/wifitalents.com), 11.40% | [gartner.com](https://machinerelations.ai/index/domains/gartner.com) | [11.11%](https://machinerelations.ai/index/categories/enterprise-software/top_list) |
| Family Software | How buyers choose | [apple.com](https://machinerelations.ai/index/domains/apple.com) and [reddit.com](https://machinerelations.ai/index/domains/reddit.com) (tied), 17.31% | [apple.com](https://machinerelations.ai/index/domains/apple.com) | [17.16%](https://machinerelations.ai/index/categories/family-software/how_choose) |
| Family Software | Is it worth it | [reddit.com](https://machinerelations.ai/index/domains/reddit.com), 21.00% | [impulsec.com](https://machinerelations.ai/index/domains/impulsec.com) | [20.00%](https://machinerelations.ai/index/categories/family-software/is_x_worth) |
| Fintech | How buyers choose | [pxp.io](https://machinerelations.ai/index/domains/pxp.io), 24.51% | [solidgate.com](https://machinerelations.ai/index/domains/solidgate.com) | [21.97%](https://machinerelations.ai/index/categories/fintech/how_choose) |
| Healthcare Services | Problem-first research | [medicalbillersandcoders.com](https://machinerelations.ai/index/domains/medicalbillersandcoders.com), 11.11% | [medicalbillersandcoders.com](https://machinerelations.ai/index/domains/medicalbillersandcoders.com) and [youtube.com](https://machinerelations.ai/index/domains/youtube.com) (tied) | [9.49%](https://machinerelations.ai/index/categories/healthcare-services/problem_first) |
| Healthcare Services | Comparisons | [adsc.com](https://machinerelations.ai/index/domains/adsc.com), 17.76% | [medicalbillersandcoders.com](https://machinerelations.ai/index/domains/medicalbillersandcoders.com) | [17.52%](https://machinerelations.ai/index/categories/healthcare-services/x_vs_y) |
| HR & Talent | Is it worth it | [lattice.com](https://machinerelations.ai/index/domains/lattice.com), 15.84% | [performyard.com](https://machinerelations.ai/index/domains/performyard.com) | [15.38%](https://machinerelations.ai/index/categories/hr-talent/is_x_worth) |
| iGaming & Betting | Best tools | [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com), 18.87% | [tigsportsbook.com](https://machinerelations.ai/index/domains/tigsportsbook.com) | [19.85%](https://machinerelations.ai/index/categories/igaming-betting/best_x) |

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 |
| --- | --- | --- | --- | --- | --- |
| iGaming & Betting | Problem-first research | 106 | 7 | [optikpi.com](https://machinerelations.ai/index/domains/optikpi.com) and [reddit.com](https://machinerelations.ai/index/domains/reddit.com) (tied) | [8.49%](https://machinerelations.ai/index/categories/igaming-betting/problem_first) |
| iGaming & Betting | Top lists | 98 | 7 | [smartico.ai](https://machinerelations.ai/index/domains/smartico.ai) | [18.37%](https://machinerelations.ai/index/categories/igaming-betting/top_list) |
| iGaming & Betting | Comparisons | 102 | 7 | [track360.io](https://machinerelations.ai/index/domains/track360.io) | [20.59%](https://machinerelations.ai/index/categories/igaming-betting/x_vs_y) |
| Industrial | Best tools | 102 | 7 | [iqsdirectory.com](https://machinerelations.ai/index/domains/iqsdirectory.com) | [11.76%](https://machinerelations.ai/index/categories/industrial/best_x) |
| Industrial | How buyers choose | 99 | 7 | [industrialmonitordirect.com](https://machinerelations.ai/index/domains/industrialmonitordirect.com) | [8.08%](https://machinerelations.ai/index/categories/industrial/how_choose) |
| Industrial | Is it worth it | 101 | 7 | [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | [10.89%](https://machinerelations.ai/index/categories/industrial/is_x_worth) |
| Industrial | Problem-first research | 106 | 7 | [youtube.com](https://machinerelations.ai/index/domains/youtube.com) | [6.60%](https://machinerelations.ai/index/categories/industrial/problem_first) |

## 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, 36.50%](https://machinerelations.ai/index/categories/ai-infrastructure/best_x) | [arxiv.org, 27.11%](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | [reddit.com, 23.03%](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | [arxiv.org / reddit.com, 15.76%](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | [spheron.network, 32.74%](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | [databricks.com, 27.11%](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | Not measured |
| AI Security & Privacy | [arxiv.org, 36.92%](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | [teramind.co, 21.69%](https://machinerelations.ai/index/categories/ai-security-privacy/how_choose) | [witness.ai, 19.05%](https://machinerelations.ai/index/categories/ai-security-privacy/is_x_worth) | [arxiv.org / techradar.com, 15.85%](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | [ovaledge.com, 31.10%](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | [arxiv.org, 43.60%](https://machinerelations.ai/index/categories/ai-security-privacy/x_vs_y) | Not measured |
| AI Visibility & GEO | [seranking.com, 22.67%](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) | [youtube.com, 17.54%](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | [reddit.com, 22.05%](https://machinerelations.ai/index/categories/ai-visibility-geo/is_x_worth) | [youtube.com, 23.16%](https://machinerelations.ai/index/categories/ai-visibility-geo/problem_first) | [tryprofound.com / youtube.com, 22.31%](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | [hubspot.com, 26.70%](https://machinerelations.ai/index/categories/ai-visibility-geo/x_vs_y) | Not measured |
| Consumer Finance | [forbes.com, 36.65%](https://machinerelations.ai/index/categories/consumer-finance/best_x) | [bankrate.com, 28.27%](https://machinerelations.ai/index/categories/consumer-finance/how_choose) | [reddit.com, 24.08%](https://machinerelations.ai/index/categories/consumer-finance/is_x_worth) | [youtube.com, 24.61%](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | [nerdwallet.com, 38.54%](https://machinerelations.ai/index/categories/consumer-finance/top_list) | [acorns.com, 35.86%](https://machinerelations.ai/index/categories/consumer-finance/x_vs_y) | Not measured |
| Consumer Health | [healthline.com, 42.19%](https://machinerelations.ai/index/categories/consumer-health/best_x) | [nih.gov, 26.32%](https://machinerelations.ai/index/categories/consumer-health/how_choose) | [nih.gov, 34.92%](https://machinerelations.ai/index/categories/consumer-health/is_x_worth) | [clevelandclinic.org, 30.00%](https://machinerelations.ai/index/categories/consumer-health/problem_first) | [thefeed.com, 28.27%](https://machinerelations.ai/index/categories/consumer-health/top_list) | [healthline.com, 29.84%](https://machinerelations.ai/index/categories/consumer-health/x_vs_y) | Not measured |
| Consumer Products | [forbes.com, 29.84%](https://machinerelations.ai/index/categories/consumer-products/best_x) | [livetinted.com, 20.41%](https://machinerelations.ai/index/categories/consumer-products/how_choose) | [reddit.com, 22.56%](https://machinerelations.ai/index/categories/consumer-products/is_x_worth) | [reddit.com, 17.19%](https://machinerelations.ai/index/categories/consumer-products/problem_first) | [dogfoodadvisor.com, 22.11%](https://machinerelations.ai/index/categories/consumer-products/top_list) | [youtube.com, 24.34%](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | Not measured |
| Cybersecurity | [huntress.com, 50.00%](https://machinerelations.ai/index/categories/cybersecurity/best_x) | [microsoft.com, 21.05%](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | [paloaltonetworks.com, 25.13%](https://machinerelations.ai/index/categories/cybersecurity/is_x_worth) | [github.com, 17.93%](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | [adaptivesecurity.com, 25.40%](https://machinerelations.ai/index/categories/cybersecurity/top_list) | [vectra.ai, 24.55%](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) | [paloaltonetworks.com, 13.00%](https://machinerelations.ai/index/categories/cybersecurity/news_topic) |
| Deep Tech & Hardware | [arxiv.org, 19.44%](https://machinerelations.ai/index/categories/deep-tech-hardware/best_x) | [anysilicon.com, 33.16%](https://machinerelations.ai/index/categories/deep-tech-hardware/how_choose) | [vlsishuttle.com, 29.45%](https://machinerelations.ai/index/categories/deep-tech-hardware/is_x_worth) | [analog.com, 18.90%](https://machinerelations.ai/index/categories/deep-tech-hardware/problem_first) | [unmannedsystemstechnology.com, 26.51%](https://machinerelations.ai/index/categories/deep-tech-hardware/top_list) | [nvidia.com / reddit.com / youtube.com, 16.36%](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) | Not measured |
| Education & Training | [reddit.com, 23.49%](https://machinerelations.ai/index/categories/education-training/best_x) | [coggno.com, 15.79%](https://machinerelations.ai/index/categories/education-training/how_choose) | [theworkademy.com, 16.35%](https://machinerelations.ai/index/categories/education-training/is_x_worth) | [indeed.com, 13.21%](https://machinerelations.ai/index/categories/education-training/problem_first) | [reddit.com, 13.13%](https://machinerelations.ai/index/categories/education-training/top_list) | [uopeople.edu, 27.04%](https://machinerelations.ai/index/categories/education-training/x_vs_y) | Not measured |
| Emergent Prosumer | [techradar.com, 23.85%](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | [reddit.com, 17.83%](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | [reddit.com, 21.54%](https://machinerelations.ai/index/categories/emergent-prosumer/is_x_worth) | [reddit.com, 20.61%](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | [digitalcameraworld.com, 18.32%](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) | [youtube.com, 34.68%](https://machinerelations.ai/index/categories/emergent-prosumer/x_vs_y) | Not measured |
| Enterprise Software | [erpresearch.com, 37.40%](https://machinerelations.ai/index/categories/enterprise-software/best_x) | [erpresearch.com, 24.81%](https://machinerelations.ai/index/categories/enterprise-software/how_choose) | [erpresearch.com, 25.55%](https://machinerelations.ai/index/categories/enterprise-software/is_x_worth) | [zapier.com, 11.03%](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | [gartner.com, 11.11%](https://machinerelations.ai/index/categories/enterprise-software/top_list) | [erpfocus.com, 18.18%](https://machinerelations.ai/index/categories/enterprise-software/x_vs_y) | [linkedin.com, 11.07%](https://machinerelations.ai/index/categories/enterprise-software/news_topic) |
| Family Software | [techradar.com, 33.57%](https://machinerelations.ai/index/categories/family-software/best_x) | [apple.com, 17.16%](https://machinerelations.ai/index/categories/family-software/how_choose) | [impulsec.com, 20.00%](https://machinerelations.ai/index/categories/family-software/is_x_worth) | [reddit.com, 15.94%](https://machinerelations.ai/index/categories/family-software/problem_first) | [apple.com, 36.23%](https://machinerelations.ai/index/categories/family-software/top_list) | [useboomerang.com, 26.09%](https://machinerelations.ai/index/categories/family-software/x_vs_y) | Not measured |
| Fintech | [airwallex.com, 39.86%](https://machinerelations.ai/index/categories/fintech/best_x) | [solidgate.com, 21.97%](https://machinerelations.ai/index/categories/fintech/how_choose) | [paymentsandrisk.com, 21.90%](https://machinerelations.ai/index/categories/fintech/is_x_worth) | [chargeflow.io, 18.18%](https://machinerelations.ai/index/categories/fintech/problem_first) | [stripe.com, 25.19%](https://machinerelations.ai/index/categories/fintech/top_list) | [wise.com, 18.18%](https://machinerelations.ai/index/categories/fintech/x_vs_y) | [linkedin.com, 10.23%](https://machinerelations.ai/index/categories/fintech/news_topic) |
| Healthcare Services | [omnimd.com, 27.48%](https://machinerelations.ai/index/categories/healthcare-services/best_x) | [omnimd.com, 12.98%](https://machinerelations.ai/index/categories/healthcare-services/how_choose) | [nih.gov, 24.26%](https://machinerelations.ai/index/categories/healthcare-services/is_x_worth) | [medicalbillersandcoders.com / youtube.com, 9.49%](https://machinerelations.ai/index/categories/healthcare-services/problem_first) | [omnimd.com, 25.00%](https://machinerelations.ai/index/categories/healthcare-services/top_list) | [medicalbillersandcoders.com, 17.52%](https://machinerelations.ai/index/categories/healthcare-services/x_vs_y) | [nih.gov, 25.61%](https://machinerelations.ai/index/categories/healthcare-services/news_topic) |
| HR & Talent | [pin.com, 29.93%](https://machinerelations.ai/index/categories/hr-talent/best_x) | [pin.com, 14.62%](https://machinerelations.ai/index/categories/hr-talent/how_choose) | [performyard.com, 15.38%](https://machinerelations.ai/index/categories/hr-talent/is_x_worth) | [paychex.com, 17.56%](https://machinerelations.ai/index/categories/hr-talent/problem_first) | [workforce.com, 31.01%](https://machinerelations.ai/index/categories/hr-talent/top_list) | [rippling.com, 18.38%](https://machinerelations.ai/index/categories/hr-talent/x_vs_y) | [unleash.ai, 11.35%](https://machinerelations.ai/index/categories/hr-talent/news_topic) |
| iGaming & Betting | [tigsportsbook.com, 19.85%](https://machinerelations.ai/index/categories/igaming-betting/best_x) | [softswiss.com / track360.io, 17.14%](https://machinerelations.ai/index/categories/igaming-betting/how_choose) | [track360.io, 29.46%](https://machinerelations.ai/index/categories/igaming-betting/is_x_worth) | [optikpi.com / reddit.com, 8.49%](https://machinerelations.ai/index/categories/igaming-betting/problem_first) | [smartico.ai, 18.37%](https://machinerelations.ai/index/categories/igaming-betting/top_list) | [track360.io, 20.59%](https://machinerelations.ai/index/categories/igaming-betting/x_vs_y) | Not measured |
| Industrial | [iqsdirectory.com, 11.76%](https://machinerelations.ai/index/categories/industrial/best_x) | [industrialmonitordirect.com, 8.08%](https://machinerelations.ai/index/categories/industrial/how_choose) | [linkedin.com, 10.89%](https://machinerelations.ai/index/categories/industrial/is_x_worth) | [youtube.com, 6.60%](https://machinerelations.ai/index/categories/industrial/problem_first) | Collecting | Collecting | Not measured |
| Legacy News Topics | Not measured | Not measured | Not measured | Not measured | Not measured | Not measured | [linkedin.com, 9.87%](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) |
| Martech & Advertising | Collecting | Collecting | Collecting | Collecting | Collecting | Collecting | [martech.org, 15.12%](https://machinerelations.ai/index/categories/martech-advertising/news_topic) |

## 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 **2026-10-07T11:34:28.070Z**; 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 1255 resolvable citations for this engine, 54.8% were Supported; resolvable coverage was 77% (1255/1630).
- **Claude (collecting):** Engine still COLLECTING: only 88 of 1361 citations were resolvable (coverage 6.5%) — below the evidence floor, so no fidelity rate is reported.
- **Gemini (collecting):** Engine still COLLECTING: only 392 of 4349 citations were resolvable (coverage 9%) — below the evidence floor, so no fidelity rate is reported.
- **Perplexity (reported):** Of the 1298 resolvable citations for this engine, 50.1% were Supported; resolvable coverage was 47.6% (1298/2726).

### 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 8678 resolvable citations for this engine, 53.7% were Supported; resolvable coverage was 77.1% (8678/11262).
- **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.

Published dataset SHA-256: `f8336ece4a02269741e001fdbf46a7dce95b9e6cfe6aeb49226b619050a0c5a6`. [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_v2.0+2026-10-07+95c592f6663c` (methodology mri_score_v2.0, window 2026-05-10 to 2026-10-07), compared with `mri_score_v2.0+2026-09-30+f16ab66ee5f1`. 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 2026-09-30.
- 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 2,333 runs this week against 2,176 a week earlier, while observed runs grew to 22,344; the rate moves with both.

## All editions

- [Machine Relations Index Report, October 7, 2026: reddit.com is cited in 10.44% of 22,344 observed AI answer runs](https://machinerelations.ai/research/machine-relations-index-report-2026-10-07) (October 7, 2026)
- [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) (October 6, 2026)
- [Machine Relations Index Report, September 23, 2026: Healthcare Services publishes as forecast, and 27 community-platform domains still out-lead 1,266 editorial publications](https://machinerelations.ai/research/machine-relations-index-report-2026-09-23) (September 24, 2026)
- [Machine Relations Index Report, September 18, 2026: community platforms lead 26 of 85 measured segments and the most-cited domain is absent from two engines](https://machinerelations.ai/research/machine-relations-index-report-2026-09-18) (September 18, 2026)

## Attribution

This research is published by Machine Relations Research, the research program of machinerelations.ai — the public research and standards 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 7, 2026: reddit.com is cited in 10.44% of 22,344 observed AI answer runs](https://machinerelations.ai/research/machine-relations-index-report-2026-10-07)
- [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)
- [Forbes Leads AI Citations in Three Consumer Segments, #255 in Cybersecurity: What the Machine Relations Index Shows](https://machinerelations.ai/research/forbes-answer-engine-citation-authority-mri)
- [Machine Relations Index Report, September 23, 2026: Healthcare Services publishes as forecast, and 27 community-platform domains still out-lead 1,266 editorial publications](https://machinerelations.ai/research/machine-relations-index-report-2026-09-23)

### Framework context

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