# NIH in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/nih.gov
Canonical domain: nih.gov
Source role: Academic and government source
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.

nih.gov appeared as a cited source in 485 of 15,782 monitored answer runs (3.07%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 3.07%
- Cited runs: 485 of 15,782
- Days cited: 88 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence A
- Standing: #6 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 | 1 | 77 | 7 | 1.30% | Unavailable | #159 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 1 | 106 | 7 | 0.94% | Unavailable | #156 of 212 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Comparisons](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | published | 5 | 108 | 7 | 4.63% | Unavailable | #32 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 | 8 | 136 | 7 | 5.88% | Unavailable | #39 of 275 |
| [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 | #256 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 | 3 | 106 | 7 | 2.83% | Unavailable | #58 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 | 1 | 106 | 7 | 0.94% | Unavailable | #245 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 | 4 | 114 | 7 | 3.51% | Unavailable | #46 of 263 |
| [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 | 7 | 137 | 7 | 5.11% | Unavailable | #36 of 467 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Top lists](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | published | 1 | 71 | 7 | 1.41% | Unavailable | #291 of 412 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Best tools](https://machinerelations.ai/index/categories/consumer-health/best_x) | published | 29 | 132 | 7 | 21.97% | Unavailable | #5 of 298 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-health/how_choose) | published | 37 | 131 | 7 | 28.24% | Unavailable | #1 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 | 48 | 130 | 7 | 36.92% | Unavailable | #2 of 213 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-health/problem_first) | published | 14 | 131 | 7 | 10.69% | Unavailable | #13 of 227 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Top lists](https://machinerelations.ai/index/categories/consumer-health/top_list) | published | 12 | 131 | 7 | 9.16% | Unavailable | #21 of 338 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Comparisons](https://machinerelations.ai/index/categories/consumer-health/x_vs_y) | published | 26 | 131 | 7 | 19.85% | Unavailable | #4 of 217 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Best tools](https://machinerelations.ai/index/categories/consumer-products/best_x) | published | 2 | 131 | 7 | 1.53% | Unavailable | #138 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 | #100 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 | 3 | 136 | 7 | 2.21% | Unavailable | #77 of 228 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-products/problem_first) | published | 5 | 132 | 7 | 3.79% | Unavailable | #38 of 216 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Comparisons](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | published | 1 | 131 | 7 | 0.76% | Unavailable | #218 of 268 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 2 | 623 | 54 | 0.32% | Unavailable | #518 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Top lists](https://machinerelations.ai/index/categories/cybersecurity/top_list) | published | 4 | 130 | 7 | 3.08% | Unavailable | #81 of 264 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Comparisons](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) | published | 7 | 107 | 7 | 6.54% | Unavailable | #22 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 | 9 | 121 | 7 | 7.44% | Unavailable | #19 of 328 |
| [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 | 2 | 104 | 7 | 1.92% | Unavailable | #66 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 | 15 | 106 | 7 | 14.15% | Unavailable | #4 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 | 3 | 105 | 7 | 2.86% | Unavailable | #60 of 171 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [How buyers choose](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | published | 3 | 100 | 7 | 3.00% | Unavailable | #73 of 192 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [How buyers choose](https://machinerelations.ai/index/categories/family-software/how_choose) | published | 7 | 104 | 7 | 6.73% | Unavailable | #20 of 153 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Problem-first research](https://machinerelations.ai/index/categories/family-software/problem_first) | published | 1 | 108 | 7 | 0.93% | Unavailable | #158 of 195 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 6 | 616 | 53 | 0.97% | Unavailable | #209 of 1,531 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Comparisons](https://machinerelations.ai/index/categories/fintech/x_vs_y) | published | 1 | 102 | 7 | 0.98% | Unavailable | #118 of 136 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Best tools](https://machinerelations.ai/index/categories/healthcare-services/best_x) | collecting | 2 | 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 | 7 | 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 | 28 | 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 | 154 | 613 | 53 | 25.12% | Unavailable | #1 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 | 7 | 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 | 4 | 72 | 4 | 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 | 3 | 608 | 53 | 0.49% | Unavailable | #356 of 1,249 |
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Problem-first research](https://machinerelations.ai/index/categories/igaming-betting/problem_first) | collecting | 1 | 30 | 1 | 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 | 3 | 2,138 | 54 | 0.14% | Unavailable | #1,188 of 4,025 |

## Citation

NIH (nih.gov), 3.07% citation rate, 485 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/nih.gov.

## 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.