# YouTube in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/youtube.com
Canonical domain: youtube.com
Source role: Search or media platform
Release mri_score_v2.0+2026-09-18+8fa38e54dd0a; methodology mri_score_v2.0; generated 2026-09-18; window 2026-05-10 to 2026-09-18; artifact 8fa38e54dd0a.

youtube.com appeared as a cited source in 1,431 of 15,782 monitored answer runs (9.07%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 9.07%
- Cited runs: 1,431 of 15,782
- Days cited: 81 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence A
- Standing: #2 of 22,179 observed domains

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Standing |
|---|---|---|---:|---:|---:|---:|---|---|
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Best tools](https://machinerelations.ai/index/categories/ai-infrastructure/best_x) | published | 22 | 77 | 7 | 28.57% | Unavailable | #2 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [How buyers choose](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | published | 30 | 106 | 7 | 28.30% | Unavailable | #3 of 258 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Is it worth it](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | published | 18 | 106 | 7 | 16.98% | Unavailable | #7 of 265 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 16 | 106 | 7 | 15.09% | Unavailable | #4 of 212 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Top lists](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | published | 17 | 108 | 7 | 15.74% | Unavailable | #9 of 270 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Comparisons](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | published | 36 | 108 | 7 | 33.33% | Unavailable | #1 of 231 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 29 | 136 | 7 | 21.32% | Unavailable | #4 of 275 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [How buyers choose](https://machinerelations.ai/index/categories/ai-security-privacy/how_choose) | published | 22 | 130 | 7 | 16.92% | Unavailable | #3 of 305 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Is it worth it](https://machinerelations.ai/index/categories/ai-security-privacy/is_x_worth) | published | 24 | 130 | 7 | 18.46% | Unavailable | #3 of 330 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Problem-first research](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | published | 20 | 106 | 7 | 18.87% | Unavailable | #1 of 272 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Top lists](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | published | 6 | 106 | 7 | 5.66% | Unavailable | #45 of 313 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Comparisons](https://machinerelations.ai/index/categories/ai-security-privacy/x_vs_y) | published | 22 | 114 | 7 | 19.30% | Unavailable | #4 of 263 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Best tools](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) | published | 30 | 113 | 7 | 26.55% | Unavailable | #1 of 351 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [How buyers choose](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | published | 29 | 113 | 7 | 25.66% | Unavailable | #1 of 448 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Is it worth it](https://machinerelations.ai/index/categories/ai-visibility-geo/is_x_worth) | published | 25 | 137 | 7 | 18.25% | Unavailable | #3 of 467 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Problem-first research](https://machinerelations.ai/index/categories/ai-visibility-geo/problem_first) | published | 44 | 132 | 7 | 33.33% | Unavailable | #1 of 420 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Top lists](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | published | 23 | 71 | 7 | 32.39% | Unavailable | #1 of 412 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Comparisons](https://machinerelations.ai/index/categories/ai-visibility-geo/x_vs_y) | published | 28 | 132 | 7 | 21.21% | Unavailable | #3 of 417 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Best tools](https://machinerelations.ai/index/categories/consumer-finance/best_x) | published | 33 | 132 | 7 | 25.00% | Unavailable | #6 of 236 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-finance/how_choose) | published | 29 | 132 | 7 | 21.97% | Unavailable | #4 of 191 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Is it worth it](https://machinerelations.ai/index/categories/consumer-finance/is_x_worth) | published | 32 | 132 | 7 | 24.24% | Unavailable | #2 of 262 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | published | 43 | 132 | 7 | 32.58% | Unavailable | #1 of 226 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Top lists](https://machinerelations.ai/index/categories/consumer-finance/top_list) | published | 26 | 132 | 7 | 19.70% | Unavailable | #9 of 233 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Comparisons](https://machinerelations.ai/index/categories/consumer-finance/x_vs_y) | published | 43 | 138 | 7 | 31.16% | Unavailable | #4 of 170 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Best tools](https://machinerelations.ai/index/categories/consumer-health/best_x) | published | 46 | 132 | 7 | 34.85% | Unavailable | #2 of 298 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-health/how_choose) | published | 28 | 131 | 7 | 21.37% | Unavailable | #2 of 339 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Is it worth it](https://machinerelations.ai/index/categories/consumer-health/is_x_worth) | published | 28 | 130 | 7 | 21.54% | Unavailable | #7 of 213 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-health/problem_first) | published | 29 | 131 | 7 | 22.14% | Unavailable | #6 of 227 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Top lists](https://machinerelations.ai/index/categories/consumer-health/top_list) | published | 22 | 131 | 7 | 16.79% | Unavailable | #6 of 338 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Comparisons](https://machinerelations.ai/index/categories/consumer-health/x_vs_y) | published | 42 | 131 | 7 | 32.06% | Unavailable | #2 of 217 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Best tools](https://machinerelations.ai/index/categories/consumer-products/best_x) | published | 35 | 131 | 7 | 26.72% | Unavailable | #2 of 318 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-products/how_choose) | published | 34 | 137 | 7 | 24.82% | Unavailable | #1 of 427 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Is it worth it](https://machinerelations.ai/index/categories/consumer-products/is_x_worth) | published | 30 | 136 | 7 | 22.06% | Unavailable | #3 of 228 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-products/problem_first) | published | 20 | 132 | 7 | 15.15% | Unavailable | #2 of 216 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Top lists](https://machinerelations.ai/index/categories/consumer-products/top_list) | published | 23 | 131 | 7 | 17.56% | Unavailable | #6 of 380 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Comparisons](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | published | 39 | 131 | 7 | 29.77% | Unavailable | #1 of 268 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Best tools](https://machinerelations.ai/index/categories/cybersecurity/best_x) | published | 7 | 75 | 7 | 9.33% | Unavailable | #20 of 213 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [How buyers choose](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | published | 11 | 131 | 7 | 8.40% | Unavailable | #11 of 325 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Is it worth it](https://machinerelations.ai/index/categories/cybersecurity/is_x_worth) | published | 9 | 131 | 7 | 6.87% | Unavailable | #23 of 227 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 5 | 623 | 54 | 0.80% | Unavailable | #252 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Problem-first research](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | published | 5 | 125 | 7 | 4.00% | Unavailable | #43 of 263 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Top lists](https://machinerelations.ai/index/categories/cybersecurity/top_list) | published | 8 | 130 | 7 | 6.15% | Unavailable | #37 of 264 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Comparisons](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) | published | 13 | 107 | 7 | 12.15% | Unavailable | #9 of 189 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Best tools](https://machinerelations.ai/index/categories/deep-tech-hardware/best_x) | published | 18 | 121 | 7 | 14.88% | Unavailable | #4 of 328 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [How buyers choose](https://machinerelations.ai/index/categories/deep-tech-hardware/how_choose) | published | 3 | 130 | 7 | 2.31% | Unavailable | #73 of 195 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Is it worth it](https://machinerelations.ai/index/categories/deep-tech-hardware/is_x_worth) | published | 7 | 105 | 7 | 6.67% | Unavailable | #21 of 181 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Problem-first research](https://machinerelations.ai/index/categories/deep-tech-hardware/problem_first) | published | 10 | 104 | 7 | 9.62% | Unavailable | #7 of 157 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Top lists](https://machinerelations.ai/index/categories/deep-tech-hardware/top_list) | published | 14 | 106 | 7 | 13.21% | Unavailable | #6 of 279 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Comparisons](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) | published | 21 | 105 | 7 | 20.00% | Unavailable | #2 of 171 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Best tools](https://machinerelations.ai/index/categories/education-training/best_x) | published | 17 | 106 | 7 | 16.04% | Unavailable | #3 of 263 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [How buyers choose](https://machinerelations.ai/index/categories/education-training/how_choose) | published | 7 | 130 | 7 | 5.38% | Unavailable | #18 of 249 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Is it worth it](https://machinerelations.ai/index/categories/education-training/is_x_worth) | published | 12 | 100 | 7 | 12.00% | Unavailable | #5 of 201 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Problem-first research](https://machinerelations.ai/index/categories/education-training/problem_first) | published | 4 | 100 | 7 | 4.00% | Unavailable | #31 of 229 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Top lists](https://machinerelations.ai/index/categories/education-training/top_list) | published | 9 | 100 | 7 | 9.00% | Unavailable | #12 of 295 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Comparisons](https://machinerelations.ai/index/categories/education-training/x_vs_y) | published | 7 | 100 | 7 | 7.00% | Unavailable | #28 of 126 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Best tools](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | published | 3 | 100 | 7 | 3.00% | Unavailable | #87 of 219 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [How buyers choose](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | published | 2 | 100 | 7 | 2.00% | Unavailable | #112 of 192 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Is it worth it](https://machinerelations.ai/index/categories/emergent-prosumer/is_x_worth) | published | 10 | 100 | 7 | 10.00% | Unavailable | #10 of 136 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Problem-first research](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | published | 11 | 101 | 7 | 10.89% | Unavailable | #3 of 162 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Top lists](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) | published | 8 | 101 | 7 | 7.92% | Unavailable | #17 of 211 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Comparisons](https://machinerelations.ai/index/categories/emergent-prosumer/x_vs_y) | published | 36 | 95 | 7 | 37.89% | Unavailable | #1 of 118 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 5 | 596 | 53 | 0.84% | Unavailable | #244 of 1,375 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Top lists](https://machinerelations.ai/index/categories/enterprise-software/top_list) | published | 1 | 114 | 7 | 0.88% | Unavailable | #260 of 264 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Comparisons](https://machinerelations.ai/index/categories/enterprise-software/x_vs_y) | published | 8 | 114 | 7 | 7.02% | Unavailable | #16 of 186 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Best tools](https://machinerelations.ai/index/categories/family-software/best_x) | published | 5 | 114 | 7 | 4.39% | Unavailable | #38 of 118 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [How buyers choose](https://machinerelations.ai/index/categories/family-software/how_choose) | published | 3 | 104 | 7 | 2.88% | Unavailable | #77 of 153 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Is it worth it](https://machinerelations.ai/index/categories/family-software/is_x_worth) | published | 7 | 100 | 7 | 7.00% | Unavailable | #23 of 114 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Problem-first research](https://machinerelations.ai/index/categories/family-software/problem_first) | published | 7 | 108 | 7 | 6.48% | Unavailable | #17 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Top lists](https://machinerelations.ai/index/categories/family-software/top_list) | published | 8 | 108 | 7 | 7.41% | Unavailable | #24 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Comparisons](https://machinerelations.ai/index/categories/family-software/x_vs_y) | published | 10 | 108 | 7 | 9.26% | Unavailable | #17 of 101 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 3 | 108 | 7 | 2.78% | Unavailable | #83 of 224 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [How buyers choose](https://machinerelations.ai/index/categories/fintech/how_choose) | published | 3 | 102 | 7 | 2.94% | Unavailable | #63 of 170 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Is it worth it](https://machinerelations.ai/index/categories/fintech/is_x_worth) | published | 5 | 108 | 7 | 4.63% | Unavailable | #32 of 206 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 17 | 616 | 53 | 2.76% | Unavailable | #48 of 1,531 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Problem-first research](https://machinerelations.ai/index/categories/fintech/problem_first) | published | 1 | 102 | 7 | 0.98% | Unavailable | #170 of 171 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Comparisons](https://machinerelations.ai/index/categories/fintech/x_vs_y) | published | 5 | 102 | 7 | 4.90% | Unavailable | #40 of 136 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Best tools](https://machinerelations.ai/index/categories/healthcare-services/best_x) | collecting | 5 | 101 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [How buyers choose](https://machinerelations.ai/index/categories/healthcare-services/how_choose) | collecting | 1 | 101 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Is it worth it](https://machinerelations.ai/index/categories/healthcare-services/is_x_worth) | collecting | 1 | 101 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [News-driven citations](https://machinerelations.ai/index/categories/healthcare-services/news_topic) | published | 2 | 613 | 53 | 0.33% | Unavailable | #595 of 1,264 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Problem-first research](https://machinerelations.ai/index/categories/healthcare-services/problem_first) | collecting | 10 | 102 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Top lists](https://machinerelations.ai/index/categories/healthcare-services/top_list) | collecting | 2 | 78 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Comparisons](https://machinerelations.ai/index/categories/healthcare-services/x_vs_y) | collecting | 3 | 72 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Best tools](https://machinerelations.ai/index/categories/hr-talent/best_x) | collecting | 2 | 72 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [How buyers choose](https://machinerelations.ai/index/categories/hr-talent/how_choose) | collecting | 1 | 71 | 5 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Is it worth it](https://machinerelations.ai/index/categories/hr-talent/is_x_worth) | collecting | 1 | 66 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [News-driven citations](https://machinerelations.ai/index/categories/hr-talent/news_topic) | published | 4 | 608 | 53 | 0.66% | Unavailable | #306 of 1,249 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Problem-first research](https://machinerelations.ai/index/categories/hr-talent/problem_first) | collecting | 2 | 65 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Comparisons](https://machinerelations.ai/index/categories/hr-talent/x_vs_y) | collecting | 3 | 35 | 2 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Top lists](https://machinerelations.ai/index/categories/igaming-betting/top_list) | collecting | 1 | 29 | 1 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 22 | 2,138 | 54 | 1.03% | Unavailable | #126 of 4,025 |
| [Martech & Advertising](https://machinerelations.ai/index/categories/martech-advertising) | [News-driven citations](https://machinerelations.ai/index/categories/martech-advertising/news_topic) | published | 3 | 602 | 53 | 0.50% | Unavailable | #365 of 1,244 |

## Citation

YouTube (youtube.com), 9.07% citation rate, 1,431 of 15,782 monitored answer runs, 2026-05-10 to 2026-09-18, mri_score_v2.0, mri_score_v2.0+2026-09-18+8fa38e54dd0a, https://machinerelations.ai/index/domains/youtube.com.

## Public Boundary

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.