# Github.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/github.com
Canonical domain: github.com
Source role: Community and social platform
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.

github.com appeared as a cited source in 150 of 15,782 monitored answer runs (0.95%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 0.95%
- Cited runs: 150 of 15,782
- Days cited: 42 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence B
- Standing: #34 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 | 7 | 77 | 7 | 9.09% | Unavailable | #18 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [How buyers choose](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | published | 6 | 106 | 7 | 5.66% | Unavailable | #24 of 258 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 10 | 106 | 7 | 9.43% | Unavailable | #10 of 212 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Top lists](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | published | 9 | 108 | 7 | 8.33% | Unavailable | #27 of 270 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 14 | 136 | 7 | 10.29% | Unavailable | #15 of 275 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [How buyers choose](https://machinerelations.ai/index/categories/ai-security-privacy/how_choose) | published | 5 | 130 | 7 | 3.85% | Unavailable | #42 of 305 |
| [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 | 4 | 130 | 7 | 3.08% | Unavailable | #53 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 | 11 | 106 | 7 | 10.38% | Unavailable | #15 of 313 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [How buyers choose](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | published | 1 | 113 | 7 | 0.88% | Unavailable | #253 of 448 |
| [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 | #154 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 | #243 of 412 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Best tools](https://machinerelations.ai/index/categories/consumer-finance/best_x) | published | 1 | 132 | 7 | 0.76% | Unavailable | #172 of 236 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [How buyers choose](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | published | 6 | 131 | 7 | 4.58% | Unavailable | #28 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 | #165 of 227 |
| [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 | #486 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Problem-first research](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | published | 23 | 125 | 7 | 18.40% | Unavailable | #1 of 263 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Top lists](https://machinerelations.ai/index/categories/cybersecurity/top_list) | published | 1 | 130 | 7 | 0.77% | Unavailable | #199 of 264 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Comparisons](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) | published | 1 | 107 | 7 | 0.93% | Unavailable | #138 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 | 7 | 121 | 7 | 5.79% | Unavailable | #28 of 328 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [How buyers choose](https://machinerelations.ai/index/categories/deep-tech-hardware/how_choose) | published | 1 | 130 | 7 | 0.77% | Unavailable | #140 of 195 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Top lists](https://machinerelations.ai/index/categories/deep-tech-hardware/top_list) | published | 4 | 106 | 7 | 3.77% | Unavailable | #60 of 279 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Comparisons](https://machinerelations.ai/index/categories/education-training/x_vs_y) | published | 1 | 100 | 7 | 1.00% | Unavailable | #88 of 126 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Best tools](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | published | 1 | 100 | 7 | 1.00% | Unavailable | #158 of 219 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Top lists](https://machinerelations.ai/index/categories/enterprise-software/top_list) | published | 1 | 114 | 7 | 0.88% | Unavailable | #188 of 264 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 4 | 616 | 53 | 0.65% | Unavailable | #292 of 1,531 |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 26 | 2,138 | 54 | 1.22% | Unavailable | #96 of 4,025 |

## Citation

Github.com (github.com), 0.95% citation rate, 150 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/github.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.