# Apple News in the Machine Relations Index

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

apple.com appeared as a cited source in 115 of 15,782 monitored answer runs (0.73%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 0.73%
- Cited runs: 115 of 15,782
- Days cited: 25 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence B
- Standing: #16 of 1222 classified editorial publications

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Standing |
|---|---|---|---:|---:|---:|---:|---|---|
| [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 | #155 of 412 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Best tools](https://machinerelations.ai/index/categories/consumer-finance/best_x) | published | 7 | 132 | 7 | 5.30% | Unavailable | #35 of 236 |
| [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 | #160 of 295 |
| [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 | #88 of 136 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Problem-first research](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | published | 3 | 106 | 7 | 2.83% | Unavailable | #33 of 258 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Best tools](https://machinerelations.ai/index/categories/family-software/best_x) | published | 11 | 114 | 7 | 9.65% | Unavailable | #14 of 118 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [How buyers choose](https://machinerelations.ai/index/categories/family-software/how_choose) | published | 18 | 104 | 7 | 17.31% | Unavailable | #1 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 | 6 | 100 | 7 | 6.00% | Unavailable | #24 of 114 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Problem-first research](https://machinerelations.ai/index/categories/family-software/problem_first) | published | 11 | 108 | 7 | 10.19% | Unavailable | #4 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Top lists](https://machinerelations.ai/index/categories/family-software/top_list) | published | 40 | 108 | 7 | 37.04% | Unavailable | #1 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Comparisons](https://machinerelations.ai/index/categories/family-software/x_vs_y) | published | 7 | 108 | 7 | 6.48% | Unavailable | #22 of 101 |
| [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 | #332 of 1,531 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Is it worth it](https://machinerelations.ai/index/categories/healthcare-services/is_x_worth) | collecting | 2 | 101 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [News-driven citations](https://machinerelations.ai/index/categories/healthcare-services/news_topic) | published | 1 | 613 | 53 | 0.16% | Unavailable | #665 of 1,264 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [How buyers choose](https://machinerelations.ai/index/categories/hr-talent/how_choose) | collecting | 1 | 71 | 5 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Problem-first research](https://machinerelations.ai/index/categories/igaming-betting/problem_first) | collecting | 1 | 30 | 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 | 1 | 2,138 | 54 | 0.05% | Unavailable | #2,063 of 4,025 |

## Citation

Apple News (apple.com), 0.73% citation rate, 115 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/apple.com.

## Badge

Badge image: https://machinerelations.ai/index/domains/apple.com/badge.svg

[![Apple News (apple.com), 0.73% citation rate, 115 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/apple.com.](https://machinerelations.ai/index/domains/apple.com/badge.svg)](https://machinerelations.ai/index/domains/apple.com)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile and the alt text is the citation above.

## 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.