149 cited runs of 15,782 observed answer runs.
Source domain profile · Academic and government source
Harvard.edu in the Machine Relations Index
harvard.edu appeared as a cited source in 149 of 15,782 monitored answer runs (0.94%) from 2026-05-10 to 2026-09-18.
Days cited and days observed in the current release window.
chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity. This is an observed-engine list, not a per-engine rate.
MRI confidence is not an Answer-Source Fidelity grade.
Standing
Population ranks from the public release
- Public standing
- #35 of 22,179 observed domains
- Full universe
- #35 of 22,179
- Source role population
- #4 of 413
- Evidence-qualified source role
- #4 of 22
Segment evidence
Observed category and question-shape rows
Segment rates use the exact category/question-shape denominator. Collecting rows show sample progress only; null or missing rates are not rendered as 0%.
| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Rank population |
|---|---|---|---|---|---|---|---|---|
| AI Security & Privacy | Is it worth it | Published | 2 | 130 | 7 | 1.54% | Unavailable | #110 of 330 |
| AI Security & Privacy | Comparisons | Published | 7 | 114 | 7 | 6.14% | Unavailable | #17 of 263 |
| AI Visibility & GEO | Top lists | Published | 2 | 71 | 7 | 2.82% | Unavailable | #101 of 412 |
| Consumer Health | Best tools | Published | 15 | 132 | 7 | 11.36% | Unavailable | #13 of 298 |
| Consumer Health | How buyers choose | Published | 2 | 131 | 7 | 1.53% | Unavailable | #125 of 339 |
| Consumer Health | Is it worth it | Published | 36 | 130 | 7 | 27.69% | Unavailable | #5 of 213 |
| Consumer Health | Problem-first research | Published | 5 | 131 | 7 | 3.82% | Unavailable | #34 of 227 |
| Cybersecurity | Problem-first research | Published | 1 | 125 | 7 | 0.80% | Unavailable | #176 of 263 |
| Education & Training | Problem-first research | Published | 3 | 100 | 7 | 3.00% | Unavailable | #35 of 229 |
| Emergent Prosumer | How buyers choose | Published | 1 | 100 | 7 | 1.00% | Unavailable | #143 of 192 |
| Fintech | Is it worth it | Published | 1 | 108 | 7 | 0.93% | Unavailable | #144 of 206 |
| Fintech | News-driven citations | Published | 11 | 616 | 53 | 1.79% | Unavailable | #88 of 1,531 |
| Fintech | Top lists | Published | 1 | 102 | 7 | 0.98% | Unavailable | #152 of 200 |
| Fintech | Comparisons | Published | 5 | 102 | 7 | 4.90% | Unavailable | #33 of 136 |
| Healthcare Services | News-driven citations | Published | 10 | 613 | 53 | 1.63% | Unavailable | #92 of 1,264 |
| Healthcare Services | Problem-first research | Collecting observations | 3 | 102 | 6 | Unavailable | Unavailable | No mature rank |
| HR & Talent | News-driven citations | Published | 2 | 608 | 53 | 0.33% | Unavailable | #465 of 1,249 |
| iGaming & Betting | Best tools | Collecting observations | 1 | 35 | 2 | Unavailable | Unavailable | No mature rank |
| Legacy News Topics | News-driven citations | Published | 35 | 2,138 | 54 | 1.64% | Unavailable | #62 of 4,025 |
| Martech & Advertising | News-driven citations | Published | 6 | 602 | 53 | 1.00% | Unavailable | #156 of 1,244 |
Published segments: 18. Collecting segments: 2.
Release and boundary
How to cite this profile
Harvard.edu (harvard.edu), 0.94% citation rate, 149 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/harvard.edu.
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.
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, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.
AuthorityTech publication intelligence projection is a downstream practitioner projection. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.