# Yahoo in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/yahoo.com
Canonical domain: yahoo.com
Source role: Editorial publication
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.

yahoo.com appeared as a cited source in 306 of 15,782 monitored answer runs (1.94%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 1.94%
- Cited runs: 306 of 15,782
- Days cited: 67 of 125
- Engine breadth: 5 observed engines (chatgpt, claude, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence A
- Standing: #4 of 1222 classified editorial publications

## 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 | 6 | 77 | 7 | 7.79% | Unavailable | #33 of 204 |
| [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 | 1 | 130 | 7 | 0.77% | Unavailable | #327 of 330 |
| [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 | 2 | 113 | 7 | 1.77% | Unavailable | #146 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 | 3 | 137 | 7 | 2.19% | Unavailable | #117 of 467 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Best tools](https://machinerelations.ai/index/categories/consumer-finance/best_x) | published | 22 | 132 | 7 | 16.67% | Unavailable | #11 of 236 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-finance/how_choose) | published | 15 | 132 | 7 | 11.36% | Unavailable | #15 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 | 2 | 132 | 7 | 1.52% | Unavailable | #128 of 262 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | published | 14 | 132 | 7 | 10.61% | Unavailable | #10 of 226 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Top lists](https://machinerelations.ai/index/categories/consumer-finance/top_list) | published | 4 | 132 | 7 | 3.03% | Unavailable | #81 of 233 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Comparisons](https://machinerelations.ai/index/categories/consumer-finance/x_vs_y) | published | 2 | 138 | 7 | 1.45% | Unavailable | #92 of 170 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Best tools](https://machinerelations.ai/index/categories/consumer-health/best_x) | published | 21 | 132 | 7 | 15.91% | Unavailable | #8 of 298 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-health/problem_first) | published | 5 | 131 | 7 | 3.82% | Unavailable | #42 of 227 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Top lists](https://machinerelations.ai/index/categories/consumer-health/top_list) | published | 15 | 131 | 7 | 11.45% | Unavailable | #13 of 338 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Comparisons](https://machinerelations.ai/index/categories/consumer-health/x_vs_y) | published | 18 | 131 | 7 | 13.74% | Unavailable | #12 of 217 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Best tools](https://machinerelations.ai/index/categories/consumer-products/best_x) | published | 3 | 131 | 7 | 2.29% | Unavailable | #111 of 318 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-products/how_choose) | published | 3 | 137 | 7 | 2.19% | Unavailable | #116 of 427 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Top lists](https://machinerelations.ai/index/categories/consumer-products/top_list) | published | 5 | 131 | 7 | 3.82% | Unavailable | #71 of 380 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Comparisons](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | published | 8 | 131 | 7 | 6.11% | Unavailable | #24 of 268 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Best tools](https://machinerelations.ai/index/categories/cybersecurity/best_x) | published | 1 | 75 | 7 | 1.33% | Unavailable | #209 of 213 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 20 | 623 | 54 | 3.21% | Unavailable | #39 of 1,340 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Best tools](https://machinerelations.ai/index/categories/deep-tech-hardware/best_x) | published | 1 | 121 | 7 | 0.83% | Unavailable | #327 of 328 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Problem-first research](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | published | 4 | 101 | 7 | 3.96% | Unavailable | #30 of 162 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Comparisons](https://machinerelations.ai/index/categories/emergent-prosumer/x_vs_y) | published | 1 | 95 | 7 | 1.05% | Unavailable | #116 of 118 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 13 | 596 | 53 | 2.18% | Unavailable | #62 of 1,375 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Problem-first research](https://machinerelations.ai/index/categories/family-software/problem_first) | published | 2 | 108 | 7 | 1.85% | Unavailable | #111 of 195 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 1 | 108 | 7 | 0.93% | Unavailable | #223 of 224 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 24 | 616 | 53 | 3.90% | Unavailable | #22 of 1,531 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [News-driven citations](https://machinerelations.ai/index/categories/healthcare-services/news_topic) | published | 18 | 613 | 53 | 2.94% | Unavailable | #35 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 | 1 | 102 | 6 | 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 | 9 | 608 | 53 | 1.48% | Unavailable | #132 of 1,249 |
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Is it worth it](https://machinerelations.ai/index/categories/igaming-betting/is_x_worth) | collecting | 1 | 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 | 2 | 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 | 49 | 2,138 | 54 | 2.29% | Unavailable | #33 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 | 10 | 602 | 53 | 1.66% | Unavailable | #99 of 1,244 |

## Citation

Yahoo (yahoo.com), 1.94% citation rate, 306 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/yahoo.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.