# Facebook.com in the Machine Relations Index

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

facebook.com appeared as a cited source in 203 of 15,782 monitored answer runs (1.29%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 1.29%
- Cited runs: 203 of 15,782
- Days cited: 52 of 125
- Engine breadth: 4 observed engines (gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence B
- Standing: #23 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 | 2 | 77 | 7 | 2.60% | Unavailable | #84 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [How buyers choose](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | published | 1 | 106 | 7 | 0.94% | Unavailable | #163 of 258 |
| [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 | #64 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 | #179 of 270 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Comparisons](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | published | 1 | 108 | 7 | 0.93% | Unavailable | #145 of 231 |
| [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 | #155 of 272 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Top lists](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | published | 1 | 106 | 7 | 0.94% | Unavailable | #204 of 313 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Comparisons](https://machinerelations.ai/index/categories/ai-security-privacy/x_vs_y) | published | 1 | 114 | 7 | 0.88% | Unavailable | #175 of 263 |
| [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 | 2 | 113 | 7 | 1.77% | Unavailable | #102 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 | 1 | 137 | 7 | 0.73% | Unavailable | #291 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 | 7 | 132 | 7 | 5.30% | Unavailable | #11 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 | #221 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 | 1 | 132 | 7 | 0.76% | Unavailable | #240 of 417 |
| [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 | #160 of 236 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-finance/how_choose) | published | 7 | 132 | 7 | 5.30% | Unavailable | #29 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 | 6 | 132 | 7 | 4.55% | Unavailable | #32 of 262 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-finance/problem_first) | published | 3 | 132 | 7 | 2.27% | Unavailable | #63 of 226 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Top lists](https://machinerelations.ai/index/categories/consumer-finance/top_list) | published | 6 | 132 | 7 | 4.55% | Unavailable | #45 of 233 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Comparisons](https://machinerelations.ai/index/categories/consumer-finance/x_vs_y) | published | 7 | 138 | 7 | 5.07% | Unavailable | #29 of 170 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-health/how_choose) | published | 3 | 131 | 7 | 2.29% | Unavailable | #82 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 | 10 | 130 | 7 | 7.69% | Unavailable | #19 of 213 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-health/problem_first) | published | 3 | 131 | 7 | 2.29% | Unavailable | #63 of 227 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Top lists](https://machinerelations.ai/index/categories/consumer-health/top_list) | published | 7 | 131 | 7 | 5.34% | Unavailable | #39 of 338 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Comparisons](https://machinerelations.ai/index/categories/consumer-health/x_vs_y) | published | 1 | 131 | 7 | 0.76% | Unavailable | #131 of 217 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Best tools](https://machinerelations.ai/index/categories/consumer-products/best_x) | published | 6 | 131 | 7 | 4.58% | Unavailable | #37 of 318 |
| [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 | #90 of 427 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Is it worth it](https://machinerelations.ai/index/categories/consumer-products/is_x_worth) | published | 15 | 136 | 7 | 11.03% | Unavailable | #11 of 228 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Problem-first research](https://machinerelations.ai/index/categories/consumer-products/problem_first) | published | 10 | 132 | 7 | 7.58% | Unavailable | #16 of 216 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Top lists](https://machinerelations.ai/index/categories/consumer-products/top_list) | published | 8 | 131 | 7 | 6.11% | Unavailable | #26 of 380 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Comparisons](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | published | 6 | 131 | 7 | 4.58% | Unavailable | #41 of 268 |
| [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 | #270 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Problem-first research](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | published | 2 | 125 | 7 | 1.60% | Unavailable | #100 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 | #195 of 264 |
| [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 | #127 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 | #79 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 | 1 | 105 | 7 | 0.95% | Unavailable | #115 of 181 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Problem-first research](https://machinerelations.ai/index/categories/deep-tech-hardware/problem_first) | published | 2 | 104 | 7 | 1.92% | Unavailable | #54 of 157 |
| [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 | #56 of 279 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Comparisons](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) | published | 1 | 105 | 7 | 0.95% | Unavailable | #120 of 171 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Best tools](https://machinerelations.ai/index/categories/education-training/best_x) | published | 2 | 106 | 7 | 1.89% | Unavailable | #105 of 263 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [How buyers choose](https://machinerelations.ai/index/categories/education-training/how_choose) | published | 3 | 130 | 7 | 2.31% | Unavailable | #75 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 | #143 of 201 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Problem-first research](https://machinerelations.ai/index/categories/education-training/problem_first) | published | 2 | 100 | 7 | 2.00% | Unavailable | #62 of 229 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Top lists](https://machinerelations.ai/index/categories/education-training/top_list) | published | 1 | 100 | 7 | 1.00% | Unavailable | #192 of 295 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Comparisons](https://machinerelations.ai/index/categories/education-training/x_vs_y) | published | 4 | 100 | 7 | 4.00% | Unavailable | #40 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 | #152 of 219 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [How buyers choose](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | published | 2 | 100 | 7 | 2.00% | Unavailable | #96 of 192 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Problem-first research](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | published | 2 | 101 | 7 | 1.98% | Unavailable | #66 of 162 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Top lists](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) | published | 4 | 101 | 7 | 3.96% | Unavailable | #41 of 211 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Comparisons](https://machinerelations.ai/index/categories/emergent-prosumer/x_vs_y) | published | 5 | 95 | 7 | 5.26% | Unavailable | #26 of 118 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Comparisons](https://machinerelations.ai/index/categories/family-software/x_vs_y) | published | 2 | 108 | 7 | 1.85% | Unavailable | #60 of 101 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 2 | 616 | 53 | 0.32% | Unavailable | #506 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 | 4 | 613 | 53 | 0.65% | Unavailable | #250 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 | 3 | 608 | 53 | 0.49% | Unavailable | #332 of 1,249 |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 22 | 2,138 | 54 | 1.03% | Unavailable | #119 of 4,025 |

## Citation

Facebook.com (facebook.com), 1.29% citation rate, 203 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/facebook.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.