# Amazon.com in the Machine Relations Index

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

amazon.com appeared as a cited source in 236 of 15,782 monitored answer runs (1.50%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 1.50%
- Cited runs: 236 of 15,782
- Days cited: 66 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence B
- Standing: #7 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) | [Best tools](https://machinerelations.ai/index/categories/ai-infrastructure/best_x) | published | 3 | 77 | 7 | 3.90% | Unavailable | #56 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [How buyers choose](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | published | 3 | 106 | 7 | 2.83% | Unavailable | #54 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 | 17 | 106 | 7 | 16.04% | Unavailable | #8 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 | #52 of 212 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Top lists](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | published | 2 | 108 | 7 | 1.85% | Unavailable | #94 of 270 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Comparisons](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | published | 7 | 108 | 7 | 6.48% | Unavailable | #21 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 | 19 | 136 | 7 | 13.97% | Unavailable | #9 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 | 1 | 130 | 7 | 0.77% | Unavailable | #153 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 | 2 | 130 | 7 | 1.54% | Unavailable | #92 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 | 2 | 106 | 7 | 1.89% | Unavailable | #100 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 | 5 | 114 | 7 | 4.39% | Unavailable | #28 of 263 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Best tools](https://machinerelations.ai/index/categories/consumer-health/best_x) | published | 22 | 132 | 7 | 16.67% | Unavailable | #6 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 | #45 of 339 |
| [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Top lists](https://machinerelations.ai/index/categories/consumer-health/top_list) | published | 19 | 131 | 7 | 14.50% | Unavailable | #7 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 | #114 of 217 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Best tools](https://machinerelations.ai/index/categories/consumer-products/best_x) | published | 4 | 131 | 7 | 3.05% | Unavailable | #60 of 318 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [How buyers choose](https://machinerelations.ai/index/categories/consumer-products/how_choose) | published | 2 | 137 | 7 | 1.46% | Unavailable | #117 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 | 3 | 136 | 7 | 2.21% | Unavailable | #69 of 228 |
| [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 | #25 of 380 |
| [Consumer Products](https://machinerelations.ai/index/categories/consumer-products) | [Comparisons](https://machinerelations.ai/index/categories/consumer-products/x_vs_y) | published | 2 | 131 | 7 | 1.53% | Unavailable | #111 of 268 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [How buyers choose](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | published | 3 | 131 | 7 | 2.29% | Unavailable | #68 of 325 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 7 | 623 | 54 | 1.12% | Unavailable | #151 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Problem-first research](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | published | 1 | 125 | 7 | 0.80% | Unavailable | #127 of 263 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Top lists](https://machinerelations.ai/index/categories/cybersecurity/top_list) | published | 2 | 130 | 7 | 1.54% | Unavailable | #125 of 264 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Best tools](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | published | 3 | 100 | 7 | 3.00% | Unavailable | #56 of 219 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [How buyers choose](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | published | 10 | 100 | 7 | 10.00% | Unavailable | #7 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 | 1 | 100 | 7 | 1.00% | Unavailable | #86 of 136 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Problem-first research](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | published | 1 | 101 | 7 | 0.99% | Unavailable | #90 of 162 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Top lists](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) | published | 13 | 101 | 7 | 12.87% | Unavailable | #5 of 211 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Is it worth it](https://machinerelations.ai/index/categories/enterprise-software/is_x_worth) | published | 11 | 107 | 7 | 10.28% | Unavailable | #4 of 194 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 2 | 596 | 53 | 0.34% | Unavailable | #423 of 1,375 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Problem-first research](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | published | 1 | 106 | 7 | 0.94% | Unavailable | #113 of 258 |
| [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 | #102 of 206 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 3 | 616 | 53 | 0.49% | Unavailable | #329 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 | 3 | 613 | 53 | 0.49% | Unavailable | #303 of 1,264 |
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Top lists](https://machinerelations.ai/index/categories/igaming-betting/top_list) | collecting | 1 | 29 | 1 | 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 | 44 | 2,138 | 54 | 2.06% | Unavailable | #39 of 4,025 |

## Citation

Amazon.com (amazon.com), 1.50% citation rate, 236 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/amazon.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.