# Substack.com in the Machine Relations Index

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

substack.com appeared as a cited source in 249 of 15,782 monitored answer runs (1.58%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 1.58%
- Cited runs: 249 of 15,782
- Days cited: 76 of 125
- Engine breadth: 5 observed engines (claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence B
- Standing: #18 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 | 6 | 77 | 7 | 7.79% | Unavailable | #32 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 | #28 of 258 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Is it worth it](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | published | 4 | 106 | 7 | 3.77% | Unavailable | #45 of 265 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 5 | 106 | 7 | 4.72% | Unavailable | #20 of 212 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Top lists](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | published | 1 | 108 | 7 | 0.93% | Unavailable | #256 of 270 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Comparisons](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | published | 4 | 108 | 7 | 3.70% | Unavailable | #44 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 | #143 of 275 |
| [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 | 3 | 130 | 7 | 2.31% | Unavailable | #83 of 330 |
| [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 | 2 | 106 | 7 | 1.89% | Unavailable | #102 of 272 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Comparisons](https://machinerelations.ai/index/categories/ai-security-privacy/x_vs_y) | published | 13 | 114 | 7 | 11.40% | Unavailable | #10 of 263 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Best tools](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) | published | 5 | 113 | 7 | 4.42% | Unavailable | #59 of 351 |
| [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 | #398 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 | #188 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 | 1 | 132 | 7 | 0.76% | Unavailable | #382 of 420 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-products/how_choose) | published | 3 | 137 | 7 | 2.19% | Unavailable | #110 of 427 |
| [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 | #209 of 227 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 21 | 623 | 54 | 3.37% | Unavailable | #34 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Problem-first research](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | published | 4 | 125 | 7 | 3.20% | Unavailable | #60 of 263 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Best tools](https://machinerelations.ai/index/categories/deep-tech-hardware/best_x) | published | 6 | 121 | 7 | 4.96% | Unavailable | #36 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 | 2 | 130 | 7 | 1.54% | Unavailable | #99 of 195 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Is it worth it](https://machinerelations.ai/index/categories/deep-tech-hardware/is_x_worth) | published | 6 | 105 | 7 | 5.71% | Unavailable | #26 of 181 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Comparisons](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) | published | 3 | 105 | 7 | 2.86% | Unavailable | #62 of 171 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Problem-first research](https://machinerelations.ai/index/categories/education-training/problem_first) | published | 3 | 100 | 7 | 3.00% | Unavailable | #44 of 229 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Best tools](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | published | 12 | 100 | 7 | 12.00% | Unavailable | #5 of 219 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Is it worth it](https://machinerelations.ai/index/categories/emergent-prosumer/is_x_worth) | published | 1 | 100 | 7 | 1.00% | Unavailable | #122 of 136 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Comparisons](https://machinerelations.ai/index/categories/emergent-prosumer/x_vs_y) | published | 1 | 95 | 7 | 1.05% | Unavailable | #112 of 118 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 13 | 596 | 53 | 2.18% | Unavailable | #59 of 1,375 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [How buyers choose](https://machinerelations.ai/index/categories/family-software/how_choose) | published | 1 | 104 | 7 | 0.96% | Unavailable | #145 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 | 1 | 100 | 7 | 1.00% | Unavailable | #110 of 114 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 1 | 108 | 7 | 0.93% | Unavailable | #196 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 | #62 of 170 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 21 | 616 | 53 | 3.41% | Unavailable | #31 of 1,531 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [News-driven citations](https://machinerelations.ai/index/categories/healthcare-services/news_topic) | published | 19 | 613 | 53 | 3.10% | Unavailable | #32 of 1,264 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [News-driven citations](https://machinerelations.ai/index/categories/hr-talent/news_topic) | published | 26 | 608 | 53 | 4.28% | Unavailable | #26 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 |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 43 | 2,138 | 54 | 2.01% | Unavailable | #47 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 | 2 | 602 | 53 | 0.33% | Unavailable | #504 of 1,244 |

## Citation

Substack.com (substack.com), 1.58% citation rate, 249 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/substack.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.