# G2 in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/g2.com
Canonical domain: g2.com
Source role: Market and company database
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.

g2.com appeared as a cited source in 442 of 15,782 monitored answer runs (2.80%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 2.80%
- Cited runs: 442 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: #9 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) | [Top lists](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | published | 10 | 106 | 7 | 9.43% | Unavailable | #20 of 313 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Best tools](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) | published | 3 | 113 | 7 | 2.65% | Unavailable | #99 of 351 |
| [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 | 3 | 132 | 7 | 2.27% | Unavailable | #52 of 420 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Comparisons](https://machinerelations.ai/index/categories/ai-visibility-geo/x_vs_y) | published | 1 | 132 | 7 | 0.76% | Unavailable | #244 of 417 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Best tools](https://machinerelations.ai/index/categories/cybersecurity/best_x) | published | 15 | 75 | 7 | 20.00% | Unavailable | #6 of 213 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [How buyers choose](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | published | 2 | 131 | 7 | 1.53% | Unavailable | #111 of 325 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Is it worth it](https://machinerelations.ai/index/categories/cybersecurity/is_x_worth) | published | 1 | 131 | 7 | 0.76% | Unavailable | #162 of 227 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 22 | 623 | 54 | 3.53% | Unavailable | #31 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Top lists](https://machinerelations.ai/index/categories/cybersecurity/top_list) | published | 12 | 130 | 7 | 9.23% | Unavailable | #15 of 264 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Best tools](https://machinerelations.ai/index/categories/education-training/best_x) | published | 8 | 106 | 7 | 7.55% | Unavailable | #23 of 263 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [How buyers choose](https://machinerelations.ai/index/categories/education-training/how_choose) | published | 5 | 130 | 7 | 3.85% | Unavailable | #26 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 | 1 | 100 | 7 | 1.00% | Unavailable | #146 of 201 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Top lists](https://machinerelations.ai/index/categories/education-training/top_list) | published | 7 | 100 | 7 | 7.00% | Unavailable | #21 of 295 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Best tools](https://machinerelations.ai/index/categories/enterprise-software/best_x) | published | 11 | 101 | 7 | 10.89% | Unavailable | #7 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 | #50 of 172 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 30 | 596 | 53 | 5.03% | Unavailable | #14 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 | 1 | 106 | 7 | 0.94% | Unavailable | #163 of 258 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Top lists](https://machinerelations.ai/index/categories/enterprise-software/top_list) | published | 7 | 114 | 7 | 6.14% | Unavailable | #22 of 264 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 8 | 108 | 7 | 7.41% | Unavailable | #23 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 | #50 of 170 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Is it worth it](https://machinerelations.ai/index/categories/fintech/is_x_worth) | published | 1 | 108 | 7 | 0.93% | Unavailable | #138 of 206 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 15 | 616 | 53 | 2.44% | Unavailable | #55 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 | #90 of 200 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Comparisons](https://machinerelations.ai/index/categories/fintech/x_vs_y) | published | 2 | 102 | 7 | 1.96% | Unavailable | #78 of 136 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [How buyers choose](https://machinerelations.ai/index/categories/healthcare-services/how_choose) | collecting | 3 | 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 | #465 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 | 9 | 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 | 3 | 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 | 5 | 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 | 36 | 608 | 53 | 5.92% | Unavailable | #14 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 | 1 | 65 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Top lists](https://machinerelations.ai/index/categories/hr-talent/top_list) | collecting | 4 | 35 | 2 | 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 | 2 | 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 | 166 | 2,138 | 54 | 7.76% | Unavailable | #4 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 | 37 | 602 | 53 | 6.15% | Unavailable | #15 of 1,244 |

## Citation

G2 (g2.com), 2.80% citation rate, 442 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/g2.com.

## Badge

Badge image: https://machinerelations.ai/index/domains/g2.com/badge.svg

[![G2 (g2.com), 2.80% citation rate, 442 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/g2.com.](https://machinerelations.ai/index/domains/g2.com/badge.svg)](https://machinerelations.ai/index/domains/g2.com)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile and the alt text is the citation above.

## 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.