# Github.io in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/github.io
Canonical domain: github.io
Source role: Other observed source
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.io appeared as a cited source in 47 of 15,782 monitored answer runs (0.30%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 0.30%
- Cited runs: 47 of 15,782
- Days cited: 21 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence C
- Standing: #239 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 | 5 | 77 | 7 | 6.49% | Unavailable | #37 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [How buyers choose](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | published | 7 | 106 | 7 | 6.60% | Unavailable | #23 of 258 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 3 | 106 | 7 | 2.83% | Unavailable | #33 of 212 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Top lists](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | published | 4 | 108 | 7 | 3.70% | Unavailable | #55 of 270 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Comparisons](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | published | 5 | 108 | 7 | 4.63% | Unavailable | #29 of 231 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 2 | 136 | 7 | 1.47% | Unavailable | #117 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 | 2 | 130 | 7 | 1.54% | Unavailable | #117 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 | 1 | 130 | 7 | 0.77% | Unavailable | #208 of 330 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Comparisons](https://machinerelations.ai/index/categories/ai-security-privacy/x_vs_y) | published | 6 | 114 | 7 | 5.26% | Unavailable | #22 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 | #200 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 | #84 of 189 |
| [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 | 7 | 130 | 7 | 5.38% | Unavailable | #27 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Top lists](https://machinerelations.ai/index/categories/family-software/top_list) | published | 1 | 108 | 7 | 0.93% | Unavailable | #153 of 195 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Comparisons](https://machinerelations.ai/index/categories/fintech/x_vs_y) | published | 1 | 102 | 7 | 0.98% | Unavailable | #111 of 136 |

## Citation

Github.io (github.io), 0.30% citation rate, 47 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.io.

## 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.