# Gartner.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/gartner.com
Canonical domain: gartner.com
Source role: Analyst and consulting research
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.

gartner.com appeared as a cited source in 454 of 15,782 monitored answer runs (2.88%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 2.88%
- Cited runs: 454 of 15,782
- Days cited: 91 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence A
- Standing: #7 of 22,179 observed domains

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Standing |
|---|---|---|---:|---:|---:|---:|---|---|
| [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 | 2 | 130 | 7 | 1.54% | Unavailable | #107 of 330 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Top lists](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | published | 8 | 106 | 7 | 7.55% | Unavailable | #24 of 313 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Top lists](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | published | 2 | 71 | 7 | 2.82% | Unavailable | #95 of 412 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Best tools](https://machinerelations.ai/index/categories/cybersecurity/best_x) | published | 5 | 75 | 7 | 6.67% | Unavailable | #28 of 213 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Is it worth it](https://machinerelations.ai/index/categories/cybersecurity/is_x_worth) | published | 4 | 131 | 7 | 3.05% | Unavailable | #65 of 227 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 56 | 623 | 54 | 8.99% | Unavailable | #4 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Top lists](https://machinerelations.ai/index/categories/cybersecurity/top_list) | published | 21 | 130 | 7 | 16.15% | Unavailable | #8 of 264 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Comparisons](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) | published | 2 | 107 | 7 | 1.87% | Unavailable | #83 of 189 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Best tools](https://machinerelations.ai/index/categories/education-training/best_x) | published | 4 | 106 | 7 | 3.77% | Unavailable | #58 of 263 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Problem-first research](https://machinerelations.ai/index/categories/education-training/problem_first) | published | 2 | 100 | 7 | 2.00% | Unavailable | #63 of 229 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Best tools](https://machinerelations.ai/index/categories/enterprise-software/best_x) | published | 5 | 101 | 7 | 4.95% | Unavailable | #36 of 167 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [How buyers choose](https://machinerelations.ai/index/categories/enterprise-software/how_choose) | published | 3 | 99 | 7 | 3.03% | Unavailable | #51 of 172 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Is it worth it](https://machinerelations.ai/index/categories/enterprise-software/is_x_worth) | published | 6 | 107 | 7 | 5.61% | Unavailable | #18 of 194 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 24 | 596 | 53 | 4.03% | Unavailable | #21 of 1,375 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Problem-first research](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | published | 5 | 106 | 7 | 4.72% | Unavailable | #17 of 258 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Top lists](https://machinerelations.ai/index/categories/enterprise-software/top_list) | published | 10 | 114 | 7 | 8.77% | Unavailable | #10 of 264 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Comparisons](https://machinerelations.ai/index/categories/enterprise-software/x_vs_y) | published | 5 | 114 | 7 | 4.39% | Unavailable | #40 of 186 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 5 | 108 | 7 | 4.63% | Unavailable | #39 of 224 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 8 | 616 | 53 | 1.30% | Unavailable | #144 of 1,531 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Top lists](https://machinerelations.ai/index/categories/fintech/top_list) | published | 2 | 102 | 7 | 1.96% | Unavailable | #91 of 200 |
| [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) | [News-driven citations](https://machinerelations.ai/index/categories/healthcare-services/news_topic) | published | 7 | 613 | 53 | 1.14% | Unavailable | #145 of 1,264 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Top lists](https://machinerelations.ai/index/categories/healthcare-services/top_list) | collecting | 1 | 78 | 6 | 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) | [News-driven citations](https://machinerelations.ai/index/categories/hr-talent/news_topic) | published | 28 | 608 | 53 | 4.61% | Unavailable | #19 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 |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 182 | 2,138 | 54 | 8.51% | Unavailable | #3 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 | 48 | 602 | 53 | 7.97% | Unavailable | #10 of 1,244 |

## Citation

Gartner.com (gartner.com), 2.88% citation rate, 454 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/gartner.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.