# Forbes in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/forbes.com
Canonical domain: forbes.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.

forbes.com appeared as a cited source in 649 of 15,782 monitored answer runs (4.11%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 4.11%
- Cited runs: 649 of 15,782
- Days cited: 104 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence A
- Standing: #2 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) | [Is it worth it](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | published | 1 | 106 | 7 | 0.94% | Unavailable | #165 of 265 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 2 | 106 | 7 | 1.89% | Unavailable | #65 of 212 |
| [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 | 1 | 106 | 7 | 0.94% | Unavailable | #159 of 272 |
| [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 | 2 | 137 | 7 | 1.46% | Unavailable | #149 of 467 |
| [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 | 5 | 132 | 7 | 3.79% | Unavailable | #25 of 420 |
| [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 | #227 of 412 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Comparisons](https://machinerelations.ai/index/categories/ai-visibility-geo/x_vs_y) | published | 14 | 132 | 7 | 10.61% | Unavailable | #9 of 417 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Best tools](https://machinerelations.ai/index/categories/consumer-finance/best_x) | published | 52 | 132 | 7 | 39.39% | Unavailable | #1 of 236 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-finance/how_choose) | published | 23 | 132 | 7 | 17.42% | Unavailable | #9 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 | 19 | 132 | 7 | 14.39% | Unavailable | #4 of 262 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | published | 5 | 132 | 7 | 3.79% | Unavailable | #34 of 226 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Top lists](https://machinerelations.ai/index/categories/consumer-finance/top_list) | published | 40 | 132 | 7 | 30.30% | Unavailable | #2 of 233 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Comparisons](https://machinerelations.ai/index/categories/consumer-finance/x_vs_y) | published | 3 | 138 | 7 | 2.17% | Unavailable | #55 of 170 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Best tools](https://machinerelations.ai/index/categories/consumer-health/best_x) | published | 4 | 132 | 7 | 3.03% | Unavailable | #61 of 298 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-health/how_choose) | published | 5 | 131 | 7 | 3.82% | Unavailable | #48 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 | 4 | 130 | 7 | 3.08% | Unavailable | #62 of 213 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Top lists](https://machinerelations.ai/index/categories/consumer-health/top_list) | published | 40 | 131 | 7 | 30.53% | Unavailable | #1 of 338 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Best tools](https://machinerelations.ai/index/categories/consumer-products/best_x) | published | 39 | 131 | 7 | 29.77% | Unavailable | #1 of 318 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Top lists](https://machinerelations.ai/index/categories/consumer-products/top_list) | published | 26 | 131 | 7 | 19.85% | Unavailable | #3 of 380 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Comparisons](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | published | 20 | 131 | 7 | 15.27% | Unavailable | #4 of 268 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [How buyers choose](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | published | 1 | 131 | 7 | 0.76% | Unavailable | #207 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 | #159 of 227 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 4 | 623 | 54 | 0.64% | Unavailable | #272 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 | 2 | 121 | 7 | 1.65% | Unavailable | #129 of 328 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Best tools](https://machinerelations.ai/index/categories/education-training/best_x) | published | 7 | 106 | 7 | 6.60% | Unavailable | #29 of 263 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [How buyers choose](https://machinerelations.ai/index/categories/education-training/how_choose) | published | 1 | 130 | 7 | 0.77% | Unavailable | #170 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 | 6 | 100 | 7 | 6.00% | Unavailable | #19 of 201 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Problem-first research](https://machinerelations.ai/index/categories/education-training/problem_first) | published | 7 | 100 | 7 | 7.00% | Unavailable | #10 of 229 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Top lists](https://machinerelations.ai/index/categories/education-training/top_list) | published | 3 | 100 | 7 | 3.00% | Unavailable | #71 of 295 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Best tools](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | published | 4 | 100 | 7 | 4.00% | Unavailable | #38 of 219 |
| [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 | #59 of 192 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Is it worth it](https://machinerelations.ai/index/categories/emergent-prosumer/is_x_worth) | published | 13 | 100 | 7 | 13.00% | Unavailable | #5 of 136 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Best tools](https://machinerelations.ai/index/categories/enterprise-software/best_x) | published | 14 | 101 | 7 | 13.86% | Unavailable | #3 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 | #49 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 | #17 of 194 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 22 | 596 | 53 | 3.69% | Unavailable | #24 of 1,375 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Comparisons](https://machinerelations.ai/index/categories/enterprise-software/x_vs_y) | published | 7 | 114 | 7 | 6.14% | Unavailable | #19 of 186 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Best tools](https://machinerelations.ai/index/categories/family-software/best_x) | published | 23 | 114 | 7 | 20.18% | Unavailable | #7 of 118 |
| [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 | #19 of 153 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Is it worth it](https://machinerelations.ai/index/categories/family-software/is_x_worth) | published | 12 | 100 | 7 | 12.00% | Unavailable | #9 of 114 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Problem-first research](https://machinerelations.ai/index/categories/family-software/problem_first) | published | 4 | 108 | 7 | 3.70% | Unavailable | #31 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Top lists](https://machinerelations.ai/index/categories/family-software/top_list) | published | 4 | 108 | 7 | 3.70% | Unavailable | #42 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Comparisons](https://machinerelations.ai/index/categories/family-software/x_vs_y) | published | 13 | 108 | 7 | 12.04% | Unavailable | #11 of 101 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [How buyers choose](https://machinerelations.ai/index/categories/fintech/how_choose) | published | 1 | 102 | 7 | 0.98% | Unavailable | #137 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 | #135 of 206 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 26 | 616 | 53 | 4.22% | Unavailable | #16 of 1,531 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Problem-first research](https://machinerelations.ai/index/categories/fintech/problem_first) | published | 1 | 102 | 7 | 0.98% | Unavailable | #115 of 171 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Best tools](https://machinerelations.ai/index/categories/healthcare-services/best_x) | collecting | 7 | 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 | 15 | 613 | 53 | 2.45% | Unavailable | #47 of 1,264 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Best tools](https://machinerelations.ai/index/categories/hr-talent/best_x) | collecting | 15 | 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 | 35 | 608 | 53 | 5.76% | Unavailable | #16 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 | 7 | 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 | 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 | 54 | 2,138 | 54 | 2.53% | Unavailable | #24 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 | 12 | 602 | 53 | 1.99% | Unavailable | #82 of 1,244 |

## Citation

Forbes (forbes.com), 4.11% citation rate, 649 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/forbes.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.