---
title: "Machine Relations Index Report, November 9, 2026: mattressnerd.com replaces youtube.com (only pages not mapped to a channel or publication) as the most-cited graded source in Physical Consumer Products / Comparisons, at 23.81%"
description: "Weekly reading of Machine Relations Index release mri_score_v2.1+2026-11-09+d7ef5411c915. 10 segment leaders changed; Physical Consumer Products / Comparisons, at 126 observed runs, is the largest segment whose leader was replaced outright. reddit.com has the highest citation rate of the 36,722 cite"
canonical: "https://machinerelations.ai/research/machine-relations-index-report-2026-11-09"
---

# Machine Relations Index Report, November 9, 2026: mattressnerd.com replaces youtube.com (only pages not mapped to a channel or publication) as the most-cited graded source in Physical Consumer Products / Comparisons, at 23.81%

Weekly reading of Machine Relations Index release mri_score_v2.1+2026-11-09+d7ef5411c915. 10 segment leaders changed; Physical Consumer Products / Comparisons, at 126 observed runs, is the largest segment whose leader was replaced outright. reddit.com has the highest citation rate of the 36,722 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-2026-11-09
Published: 2026-11-09
Research type: Index Analysis
Tags: machine-relations-index, index-report

## Source Body

[mattressnerd.com](https://machinerelations.ai/index/domains/mattressnerd.com) is now the most-cited graded source in [Physical Consumer Products / Comparisons](https://machinerelations.ai/index/categories/physical-consumer/x_vs_y), cited in [23.81%](https://machinerelations.ai/index/categories/physical-consumer/x_vs_y) of that segment's observed runs, replacing [youtube.com](https://machinerelations.ai/index/domains/youtube.com). At 126 observed runs, it is the largest segment whose leader was replaced outright; 10 segment leaders changed against the release a week earlier, all listed below.

In the November 9, 2026 release of the Machine Relations Index, [reddit.com](https://machinerelations.ai/index/domains/reddit.com) was cited in [7.05%](https://machinerelations.ai/index/domains/reddit.com) of observed AI answer runs, 2,668 of 37,851: the highest citation rate of the 36,722 source domains the Index has seen cited, at confidence tier A. In Machine Relations Index release `mri_score_v2.1+2026-11-02+f9aaeca0db15`, a week earlier, its rate was 7.44%, 2,612 of 35,111 runs. Across the 177-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 November 2, 2026. Every figure links to the Index page that publishes it. The previous edition is [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%](https://machinerelations.ai/research/machine-relations-index-report-2026-11-02).

## The release at a glance

| Measure | Release 2026-11-02 | Release 2026-11-09 | Change |
| --- | --- | --- | --- |
| Observation window | 170 days | [177 days](https://machinerelations.ai/index) | +7 days |
| Observed answer runs | 35,111 | [37,851](https://machinerelations.ai/index) | +2,740 |
| Citation events | 242,261 | [256,949](https://machinerelations.ai/index) | +14,688 |
| Cited source domains | 35,509 | [36,722](https://machinerelations.ai/index) | +1,213 |
| Eligible questions in the basket | 1,255 | [1,255](https://machinerelations.ai/index) | unchanged |
| Published segments | 138 of 151 | [151 of 151](https://machinerelations.ai/index) | +13 |
| Segments still collecting | 13 | [0](https://machinerelations.ai/index) | -13 |
| Graded domains, tiers A / B / C | 25 / 140 / 922 | [29 / 146 / 1004](https://machinerelations.ai/index) | +92 |

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: 40.2% of classified citations (4,039 of 10,039) against 16.3% (488 of 2,995), as of November 9, 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 | [7.05%](https://machinerelations.ai/index/domains/reddit.com) | 2,668 of 37,851 | A | 4 of 6 | 1 |
| 2 | [youtube.com (only pages not mapped to a channel or publication)](https://machinerelations.ai/index/domains/youtube.com) | Search or media platform | [5.99%](https://machinerelations.ai/index/domains/youtube.com) | 2,267 of 37,851 | A | 6 of 6 | 2 |
| 3 | [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | Community and social platform | [4.54%](https://machinerelations.ai/index/domains/linkedin.com) | 1,720 of 37,851 | A | 6 of 6 | 3 |
| 4 | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) | Editorial publication | [3.34%](https://machinerelations.ai/index/domains/forbes.com) | 1,264 of 37,851 | A | 6 of 6 | 4 |
| 5 | [medium.com](https://machinerelations.ai/index/domains/medium.com) | Community and social platform | [2.82%](https://machinerelations.ai/index/domains/medium.com) | 1,067 of 37,851 | A | 6 of 6 | 5 |
| 6 | [techradar.com](https://machinerelations.ai/index/domains/techradar.com) | Editorial publication | [2.82%](https://machinerelations.ai/index/domains/techradar.com) | 1,067 of 37,851 | A | 6 of 6 | 6 |
| 7 | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org) | Academic and government source | [2.45%](https://machinerelations.ai/index/domains/arxiv.org) | 927 of 37,851 | A | 6 of 6 | 7 |
| 8 | [g2.com](https://machinerelations.ai/index/domains/g2.com) | Market and company database | [2.15%](https://machinerelations.ai/index/domains/g2.com) | 814 of 37,851 | A | 6 of 6 | 8 |
| 9 | [nih.gov](https://machinerelations.ai/index/domains/nih.gov) | Academic and government source | [1.90%](https://machinerelations.ai/index/domains/nih.gov) | 718 of 37,851 | A | 6 of 6 | 9 |
| 10 | [yahoo.com](https://machinerelations.ai/index/domains/yahoo.com) | Editorial publication | [1.86%](https://machinerelations.ai/index/domains/yahoo.com) | 704 of 37,851 | A | 5 of 6 | 10 |

Rates are measured over all 37,851 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 1,388 classified editorial publications | Publication | Citation rate | Runs cited | Tier | Engines citing |
| --- | --- | --- | --- | --- | --- |
| 1 | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) | [3.34%](https://machinerelations.ai/index/domains/forbes.com) | 1,264 of 37,851 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 2 | [techradar.com](https://machinerelations.ai/index/domains/techradar.com) | [2.82%](https://machinerelations.ai/index/domains/techradar.com) | 1,067 of 37,851 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 3 | [yahoo.com](https://machinerelations.ai/index/domains/yahoo.com) | [1.86%](https://machinerelations.ai/index/domains/yahoo.com) | 704 of 37,851 | A | ChatGPT, Claude, Google AI Mode, Google AI Overviews and Perplexity |
| 4 | [healthline.com](https://machinerelations.ai/index/domains/healthline.com) | [1.54%](https://machinerelations.ai/index/domains/healthline.com) | 582 of 37,851 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 5 | [nerdwallet.com](https://machinerelations.ai/index/domains/nerdwallet.com) | [1.34%](https://machinerelations.ai/index/domains/nerdwallet.com) | 509 of 37,851 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 6 | [techtarget.com](https://machinerelations.ai/index/domains/techtarget.com) | [1.13%](https://machinerelations.ai/index/domains/techtarget.com) | 429 of 37,851 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 7 | [nytimes.com](https://machinerelations.ai/index/domains/nytimes.com) | [1.07%](https://machinerelations.ai/index/domains/nytimes.com) | 404 of 37,851 | B | Google AI Mode, Google AI Overviews and Perplexity |
| 8 | [tomsguide.com](https://machinerelations.ai/index/domains/tomsguide.com) | [0.89%](https://machinerelations.ai/index/domains/tomsguide.com) | 336 of 37,851 | A | ChatGPT, Claude, Gemini, Google AI Overviews and Perplexity |
| 9 | [cnbc.com](https://machinerelations.ai/index/domains/cnbc.com) | [0.85%](https://machinerelations.ai/index/domains/cnbc.com) | 321 of 37,851 | A | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity |
| 10 | [pcmag.com](https://machinerelations.ai/index/domains/pcmag.com) | [0.78%](https://machinerelations.ai/index/domains/pcmag.com) | 297 of 37,851 | 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 | 173 | 8,956 | 8,008 | 8,247 |
| Claude | claude-haiku-4-5-20251001 | healthy | 176 | 8,995 | 7,185 | 8,285 |
| Gemini | gemini-3.8-flash | degraded | 151 | 7,841 | 2,300 | 7,408 |
| Google AI Mode | not disclosed | healthy | 134 | 2,363 | 1,824 | 2,255 |
| Google AI Overviews | not disclosed | healthy | 117 | 1,599 | 1,074 | 1,529 |
| Perplexity | sonar | healthy | 177 | 9,075 | 9,074 | 8,365 |

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.

**Citation coverage and collection.** Roster status includes citation yield. Degraded or quiet does not alone prove failed collection: responses can return without citations.

**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. Google AI Overviews answers collected on the two paths differ in how many distinct domains each cites, so its per-answer figures are read within one side of 2026-09-25, not as a trend across it. Google AI Mode changed earlier: its answers began citing far fewer distinct domains between 2026-08-10 and 2026-08-30, on the earlier path, and a same-hour comparison of the two paths on 2026-11-05 found both citing few distinct domains per answer. Google AI Mode figures from 2026-08-31 on are one collection regime, reported on their own, and are not compared or trended across the August change.

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

Of the 1,086 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 35,111 to 37,851, 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 |
| --- | --- | --- | --- | --- |
| [erpresearch.com](https://machinerelations.ai/index/domains/erpresearch.com) | A (B) | [0.89%](https://machinerelations.ai/index/domains/erpresearch.com) | 0.83% | +0.06 pts |
| [tomsguide.com](https://machinerelations.ai/index/domains/tomsguide.com) | A (B) | [0.89%](https://machinerelations.ai/index/domains/tomsguide.com) | 0.84% | +0.05 pts |
| [carta.com](https://machinerelations.ai/index/domains/carta.com) | C (C) | [0.19%](https://machinerelations.ai/index/domains/carta.com) | 0.15% | +0.04 pts |
| [guideflow.com](https://machinerelations.ai/index/domains/guideflow.com) | A (A) | [1.55%](https://machinerelations.ai/index/domains/guideflow.com) | 1.51% | +0.04 pts |
| [itechguides.com](https://machinerelations.ai/index/domains/itechguides.com) | B (C) | [0.28%](https://machinerelations.ai/index/domains/itechguides.com) | 0.24% | +0.04 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) | [7.05%](https://machinerelations.ai/index/domains/reddit.com) | 7.44% | -0.39 pts |
| [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) | A (A) | [4.54%](https://machinerelations.ai/index/domains/linkedin.com) | 4.76% | -0.22 pts |
| [youtube.com (only pages not mapped to a channel or publication)](https://machinerelations.ai/index/domains/youtube.com) | A (A) | [5.99%](https://machinerelations.ai/index/domains/youtube.com) | 6.19% | -0.20 pts |
| [medium.com](https://machinerelations.ai/index/domains/medium.com) | A (A) | [2.82%](https://machinerelations.ai/index/domains/medium.com) | 2.97% | -0.15 pts |
| [gartner.com](https://machinerelations.ai/index/domains/gartner.com) | A (A) | [1.49%](https://machinerelations.ai/index/domains/gartner.com) | 1.59% | -0.10 pts |

## Segment leaders that changed

| Category | Question shape | Leader a week earlier | Leader now | Rate now |
| --- | --- | --- | --- | --- |
| AI Infrastructure | Is it worth it | [atlan.com](https://machinerelations.ai/index/domains/atlan.com), 15.61% | [atlan.com](https://machinerelations.ai/index/domains/atlan.com) and [medium.com](https://machinerelations.ai/index/domains/medium.com) (tied) | [14.43%](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) |
| Consumer Finance | Best tools | [forbes.com](https://machinerelations.ai/index/domains/forbes.com) and [nerdwallet.com](https://machinerelations.ai/index/domains/nerdwallet.com) (tied), 30.47% | [nerdwallet.com](https://machinerelations.ai/index/domains/nerdwallet.com) | [31.13%](https://machinerelations.ai/index/categories/consumer-finance/best_x) |
| Education & Training | Best tools | [reddit.com](https://machinerelations.ai/index/domains/reddit.com), 17.23% | [prepscholar.com](https://machinerelations.ai/index/domains/prepscholar.com) and [reddit.com](https://machinerelations.ai/index/domains/reddit.com) (tied) | [16.04%](https://machinerelations.ai/index/categories/education-training/best_x) |
| Education & Training | Is it worth it | [elearningindustry.com](https://machinerelations.ai/index/domains/elearningindustry.com) and [theworkademy.com](https://machinerelations.ai/index/domains/theworkademy.com) (tied), 14.61% | [elearningindustry.com](https://machinerelations.ai/index/domains/elearningindustry.com) | [14.86%](https://machinerelations.ai/index/categories/education-training/is_x_worth) |
| Education & Training | Top lists | [d2l.com](https://machinerelations.ai/index/domains/d2l.com) and [valamis.com](https://machinerelations.ai/index/domains/valamis.com) (tied), 12.61% | [d2l.com](https://machinerelations.ai/index/domains/d2l.com) | [12.69%](https://machinerelations.ai/index/categories/education-training/top_list) |
| Enterprise Software | Problem-first research | [manageengine.com](https://machinerelations.ai/index/domains/manageengine.com), 7.79% | [cloudeagle.ai](https://machinerelations.ai/index/domains/cloudeagle.ai) and [linkedin.com](https://machinerelations.ai/index/domains/linkedin.com) and [manageengine.com](https://machinerelations.ai/index/domains/manageengine.com) and [zapier.com](https://machinerelations.ai/index/domains/zapier.com) (tied) | [7.28%](https://machinerelations.ai/index/categories/enterprise-software/problem_first) |
| Local Services | Top lists | [thumbtack.com](https://machinerelations.ai/index/domains/thumbtack.com) and [treescouts.com](https://machinerelations.ai/index/domains/treescouts.com) (tied), 21.15% | [thumbtack.com](https://machinerelations.ai/index/domains/thumbtack.com) | [20.97%](https://machinerelations.ai/index/categories/local-services/top_list) |
| Logistics & Freight | Best tools | [softwareadvice.com](https://machinerelations.ai/index/domains/softwareadvice.com), 15.69% | [softwareadvice.com](https://machinerelations.ai/index/domains/softwareadvice.com) and [wearewarp.com](https://machinerelations.ai/index/domains/wearewarp.com) (tied) | [14.29%](https://machinerelations.ai/index/categories/logistics-freight/best_x) |
| Physical Consumer Products | Top lists | [consumerreports.org](https://machinerelations.ai/index/domains/consumerreports.org) and [nytimes.com](https://machinerelations.ai/index/domains/nytimes.com) (tied), 18.75% | [consumerreports.org](https://machinerelations.ai/index/domains/consumerreports.org) | [19.20%](https://machinerelations.ai/index/categories/physical-consumer/top_list) |
| Physical Consumer Products | Comparisons | [youtube.com (only pages not mapped to a channel or publication)](https://machinerelations.ai/index/domains/youtube.com), 22.92% | [mattressnerd.com](https://machinerelations.ai/index/domains/mattressnerd.com) | [23.81%](https://machinerelations.ai/index/categories/physical-consumer/x_vs_y) |

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 |
| --- | --- | --- | --- | --- | --- |
| Professional Services | Problem-first research | 111 | 7 | [umbrex.com](https://machinerelations.ai/index/domains/umbrex.com) | [9.01%](https://machinerelations.ai/index/categories/professional-services/problem_first) |
| Professional Services | Top lists | 111 | 7 | [peoplemanagingpeople.com](https://machinerelations.ai/index/domains/peoplemanagingpeople.com) | [17.12%](https://machinerelations.ai/index/categories/professional-services/top_list) |
| Professional Services | Comparisons | 111 | 7 | [soc2auditors.org](https://machinerelations.ai/index/domains/soc2auditors.org) | [13.51%](https://machinerelations.ai/index/categories/professional-services/x_vs_y) |
| Sales, GTM & CRM | Best tools | 115 | 7 | [avoma.com](https://machinerelations.ai/index/domains/avoma.com) | [22.61%](https://machinerelations.ai/index/categories/sales-gtm-crm/best_x) |
| Sales, GTM & CRM | How buyers choose | 114 | 7 | [hubspot.com](https://machinerelations.ai/index/domains/hubspot.com) | [23.68%](https://machinerelations.ai/index/categories/sales-gtm-crm/how_choose) |
| Sales, GTM & CRM | Is it worth it | 122 | 7 | [sybill.ai](https://machinerelations.ai/index/domains/sybill.ai) | [14.75%](https://machinerelations.ai/index/categories/sales-gtm-crm/is_x_worth) |
| Sales, GTM & CRM | Problem-first research | 123 | 7 | [avoma.com](https://machinerelations.ai/index/domains/avoma.com) | [11.38%](https://machinerelations.ai/index/categories/sales-gtm-crm/problem_first) |
| Sales, GTM & CRM | Top lists | 122 | 7 | [avoma.com](https://machinerelations.ai/index/domains/avoma.com) | [14.75%](https://machinerelations.ai/index/categories/sales-gtm-crm/top_list) |
| VC & Private Equity | How buyers choose | 96 | 7 | [fundcount.com](https://machinerelations.ai/index/domains/fundcount.com) | [18.75%](https://machinerelations.ai/index/categories/vc-private-equity/how_choose) |
| VC & Private Equity | Is it worth it | 90 | 7 | [ctacquisitions.com](https://machinerelations.ai/index/domains/ctacquisitions.com) | [11.11%](https://machinerelations.ai/index/categories/vc-private-equity/is_x_worth) |
| VC & Private Equity | Problem-first research | 88 | 7 | [v7labs.com](https://machinerelations.ai/index/domains/v7labs.com) | [12.50%](https://machinerelations.ai/index/categories/vc-private-equity/problem_first) |
| VC & Private Equity | Top lists | 89 | 7 | [carta.com](https://machinerelations.ai/index/domains/carta.com) | [30.34%](https://machinerelations.ai/index/categories/vc-private-equity/top_list) |
| VC & Private Equity | Comparisons | 91 | 7 | [carta.com](https://machinerelations.ai/index/domains/carta.com) | [16.48%](https://machinerelations.ai/index/categories/vc-private-equity/x_vs_y) |

## 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, 26.33%](https://machinerelations.ai/index/categories/ai-infrastructure/best_x) | [arxiv.org, 21.33%](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | [atlan.com / medium.com, 14.43%](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | [arxiv.org, 12.37%](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 (only pages not mapped to a channel or publication), 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 (only pages not mapped to a channel or publication), 15.61%](https://machinerelations.ai/index/categories/ai-visibility-geo/problem_first) | [tryprofound.com, 20.00%](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 | [nerdwallet.com, 31.13%](https://machinerelations.ai/index/categories/consumer-finance/best_x) | [bankrate.com, 23.81%](https://machinerelations.ai/index/categories/consumer-finance/how_choose) | [reddit.com, 18.64%](https://machinerelations.ai/index/categories/consumer-finance/is_x_worth) | [experian.com, 24.49%](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | [nerdwallet.com, 35.25%](https://machinerelations.ai/index/categories/consumer-finance/top_list) | [acorns.com, 30.00%](https://machinerelations.ai/index/categories/consumer-finance/x_vs_y) | Not measured |
| Consumer Health | [healthline.com, 40.88%](https://machinerelations.ai/index/categories/consumer-health/best_x) | [nih.gov, 20.20%](https://machinerelations.ai/index/categories/consumer-health/how_choose) | [uclahealth.org, 29.80%](https://machinerelations.ai/index/categories/consumer-health/is_x_worth) | [clevelandclinic.org, 31.23%](https://machinerelations.ai/index/categories/consumer-health/problem_first) | [thefeed.com, 23.51%](https://machinerelations.ai/index/categories/consumer-health/top_list) | [healthline.com, 23.36%](https://machinerelations.ai/index/categories/consumer-health/x_vs_y) | Not measured |
| Consumer Products | [forbes.com, 29.77%](https://machinerelations.ai/index/categories/consumer-products/best_x) | [livetinted.com, 18.15%](https://machinerelations.ai/index/categories/consumer-products/how_choose) | [alibaba.com, 18.85%](https://machinerelations.ai/index/categories/consumer-products/is_x_worth) | [dialavet.com, 13.96%](https://machinerelations.ai/index/categories/consumer-products/problem_first) | [dogfoodadvisor.com, 18.63%](https://machinerelations.ai/index/categories/consumer-products/top_list) | [petmd.com, 23.15%](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | Not measured |
| Cybersecurity | [huntress.com, 42.54%](https://machinerelations.ai/index/categories/cybersecurity/best_x) | [microsoft.com, 18.06%](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | [paloaltonetworks.com, 22.92%](https://machinerelations.ai/index/categories/cybersecurity/is_x_worth) | [github.com, 18.12%](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | [hoxhunt.com, 22.76%](https://machinerelations.ai/index/categories/cybersecurity/top_list) | [vectra.ai, 24.68%](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, 20.15%](https://machinerelations.ai/index/categories/deep-tech-hardware/best_x) | [anysilicon.com, 36.40%](https://machinerelations.ai/index/categories/deep-tech-hardware/how_choose) | [vlsishuttle.com, 30.59%](https://machinerelations.ai/index/categories/deep-tech-hardware/is_x_worth) | [analog.com, 17.76%](https://machinerelations.ai/index/categories/deep-tech-hardware/problem_first) | [unmannedsystemstechnology.com, 25.84%](https://machinerelations.ai/index/categories/deep-tech-hardware/top_list) | [nvidia.com, 17.10%](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) | Not measured |
| Education & Training | [prepscholar.com / reddit.com, 16.04%](https://machinerelations.ai/index/categories/education-training/best_x) | [coggno.com, 18.06%](https://machinerelations.ai/index/categories/education-training/how_choose) | [elearningindustry.com, 14.86%](https://machinerelations.ai/index/categories/education-training/is_x_worth) | [indeed.com, 12.50%](https://machinerelations.ai/index/categories/education-training/problem_first) | [d2l.com, 12.69%](https://machinerelations.ai/index/categories/education-training/top_list) | [uopeople.edu, 25.97%](https://machinerelations.ai/index/categories/education-training/x_vs_y) | Not measured |
| Emergent Prosumer | [techradar.com, 22.83%](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | [atomm.com, 15.81%](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | [plaud.ai, 19.77%](https://machinerelations.ai/index/categories/emergent-prosumer/is_x_worth) | [reddit.com, 14.56%](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | [techradar.com, 16.08%](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) | [youtube.com (only pages not mapped to a channel or publication), 28.17%](https://machinerelations.ai/index/categories/emergent-prosumer/x_vs_y) | Not measured |
| Enterprise Software | [erpresearch.com, 39.00%](https://machinerelations.ai/index/categories/enterprise-software/best_x) | [erpresearch.com, 25.97%](https://machinerelations.ai/index/categories/enterprise-software/how_choose) | [erpresearch.com, 35.55%](https://machinerelations.ai/index/categories/enterprise-software/is_x_worth) | [cloudeagle.ai / linkedin.com / manageengine.com / zapier.com, 7.28%](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | [procuredesk.com / procurify.com, 15.38%](https://machinerelations.ai/index/categories/enterprise-software/top_list) | [erpfocus.com, 15.12%](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, 37.07%](https://machinerelations.ai/index/categories/family-software/best_x) | [apple.com, 16.87%](https://machinerelations.ai/index/categories/family-software/how_choose) | [impulsec.com, 20.16%](https://machinerelations.ai/index/categories/family-software/is_x_worth) | [healthychildren.org, 18.42%](https://machinerelations.ai/index/categories/family-software/problem_first) | [apple.com, 29.39%](https://machinerelations.ai/index/categories/family-software/top_list) | [useboomerang.com, 27.38%](https://machinerelations.ai/index/categories/family-software/x_vs_y) | Not measured |
| Fintech | [airwallex.com, 40.61%](https://machinerelations.ai/index/categories/fintech/best_x) | [solidgate.com, 23.02%](https://machinerelations.ai/index/categories/fintech/how_choose) | [paymentsandrisk.com, 22.62%](https://machinerelations.ai/index/categories/fintech/is_x_worth) | [chargeflow.io, 14.06%](https://machinerelations.ai/index/categories/fintech/problem_first) | [stripe.com, 22.57%](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 (only pages not mapped to a channel or publication), 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, 17.33%](https://machinerelations.ai/index/categories/hr-talent/problem_first) | [workforce.com, 31.33%](https://machinerelations.ai/index/categories/hr-talent/top_list) | [rippling.com, 18.75%](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, 19.33%](https://machinerelations.ai/index/categories/igaming-betting/best_x) | [track360.io, 19.47%](https://machinerelations.ai/index/categories/igaming-betting/how_choose) | [track360.io, 30.45%](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, 23.92%](https://machinerelations.ai/index/categories/igaming-betting/x_vs_y) | Not measured |
| Industrial | [iqsdirectory.com, 12.71%](https://machinerelations.ai/index/categories/industrial/best_x) | [industrialmonitordirect.com / reliamag.com, 7.39%](https://machinerelations.ai/index/categories/industrial/how_choose) | [americancleanrooms.com, 21.55%](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, 20.97%](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 / wearewarp.com, 14.29%](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, 16.00%](https://machinerelations.ai/index/categories/logistics-freight/problem_first) | [deposco.com, 20.13%](https://machinerelations.ai/index/categories/logistics-freight/top_list) | [chrobinson.com, 36.08%](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, 35.29%](https://machinerelations.ai/index/categories/martech-advertising/is_x_worth) | [cometly.com, 12.99%](https://machinerelations.ai/index/categories/martech-advertising/problem_first) | [g2.com, 20.33%](https://machinerelations.ai/index/categories/martech-advertising/top_list) | [cdp.com, 27.42%](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, 23.77%](https://machinerelations.ai/index/categories/physical-consumer/best_x) | [rtings.com, 13.18%](https://machinerelations.ai/index/categories/physical-consumer/how_choose) | [tomsguide.com, 19.53%](https://machinerelations.ai/index/categories/physical-consumer/is_x_worth) | [youtube.com (only pages not mapped to a channel or publication), 16.94%](https://machinerelations.ai/index/categories/physical-consumer/problem_first) | [consumerreports.org, 19.20%](https://machinerelations.ai/index/categories/physical-consumer/top_list) | [mattressnerd.com, 23.81%](https://machinerelations.ai/index/categories/physical-consumer/x_vs_y) | Not measured |
| Professional Services | [stonehillinnovation.com, 31.58%](https://machinerelations.ai/index/categories/professional-services/best_x) | [linkedin.com, 9.77%](https://machinerelations.ai/index/categories/professional-services/how_choose) | [linkedin.com, 7.46%](https://machinerelations.ai/index/categories/professional-services/is_x_worth) | [umbrex.com, 9.01%](https://machinerelations.ai/index/categories/professional-services/problem_first) | [peoplemanagingpeople.com, 17.12%](https://machinerelations.ai/index/categories/professional-services/top_list) | [soc2auditors.org, 13.51%](https://machinerelations.ai/index/categories/professional-services/x_vs_y) | Not measured |
| Sales, GTM & CRM | [avoma.com, 22.61%](https://machinerelations.ai/index/categories/sales-gtm-crm/best_x) | [hubspot.com, 23.68%](https://machinerelations.ai/index/categories/sales-gtm-crm/how_choose) | [sybill.ai, 14.75%](https://machinerelations.ai/index/categories/sales-gtm-crm/is_x_worth) | [avoma.com, 11.38%](https://machinerelations.ai/index/categories/sales-gtm-crm/problem_first) | [avoma.com, 14.75%](https://machinerelations.ai/index/categories/sales-gtm-crm/top_list) | [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) | [fundcount.com, 18.75%](https://machinerelations.ai/index/categories/vc-private-equity/how_choose) | [ctacquisitions.com, 11.11%](https://machinerelations.ai/index/categories/vc-private-equity/is_x_worth) | [v7labs.com, 12.50%](https://machinerelations.ai/index/categories/vc-private-equity/problem_first) | [carta.com, 30.34%](https://machinerelations.ai/index/categories/vc-private-equity/top_list) | [carta.com, 16.48%](https://machinerelations.ai/index/categories/vc-private-equity/x_vs_y) | 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 **2026-11-08T11:33:38.928Z**; 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 1,120 resolvable citations in a 12.5% random sample of this engine's citations, 53.6% were Supported (±2.7 pts, 95%); resolvable coverage was 81.9% (1,120/1,368 sampled, ±1.9 pts).
- **Claude (collecting):** Still COLLECTING: only 80 of 1,360 citations in a 12.5% random sample of this engine's citations were resolvable (coverage 5.9% ±1.2 pts) — below the evidence floor, so no fidelity rate is reported.
- **Gemini (collecting):** Still COLLECTING: only 34 of 210 citations in a 12.5% random sample of this engine's citations were resolvable (coverage 16.2% ±4.7 pts) — below the evidence floor, so no fidelity rate is reported.
- **Perplexity (reported):** Of the 1,344 resolvable citations in a 12.5% random sample of this engine's citations, 53.8% were Supported (±2.5 pts, 95%); resolvable coverage was 45.5% (1,344/2,952 sampled, ±1.7 pts).

Published dataset SHA-256: `7ff0205463fd755c6471ea9a3557989e7a89d8107bd254f93b4d6edd3d49c3ca`. [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+2026-11-09+d7ef5411c915` (methodology mri_score_v2.1, window 2026-05-10 to 2026-11-09), compared with `mri_score_v2.1+2026-11-02+f9aaeca0db15`. 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 2026-11-02.
- 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 2,668 runs across its observation window against 2,612 in the window a week earlier, while observed runs grew to 37,851; the rate moves with both.

## Cite this edition

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. mattressnerd.com replaces youtube.com (only pages not mapped to a channel or publication) as the most-cited graded source in Physical Consumer Products / Comparisons, at 23.81%. Release mri_score_v2.1+2026-11-09+d7ef5411c915. https://machinerelations.ai/research/machine-relations-index-report-2026-11-09 CC BY 4.0.

APA

Parrott, J. (2026). Machine Relations Index Report, November 9, 2026: mattressnerd.com replaces youtube.com (only pages not mapped to a channel or publication) as the most-cited graded source in Physical Consumer Products / Comparisons, at 23.81% (Version mri_score_v2.1+2026-11-09+d7ef5411c915) [Data set]. Machine Relations Research. https://machinerelations.ai/research/machine-relations-index-report-2026-11-09

BibTeX

```bibtex
@misc{parrott2026mrimachinerelationsindexreport20261109,
  author = {Parrott, Jaxon},
  title = {Machine Relations Index Report, November 9, 2026: mattressnerd.com replaces youtube.com (only pages not mapped to a channel or publication) as the most-cited graded source in Physical Consumer Products / Comparisons, at 23.81\%},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-09+d7ef5411c915},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/research/machine-relations-index-report-2026-11-09%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, November 2, 2026: atlan.com replaces medium.com as the most-cited graded source in AI Infrastructure / Is it worth it, at 15.61%](https://machinerelations.ai/research/machine-relations-index-report-2026-11-02)
- [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)

### Framework context

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