# TechRadar in the Machine Relations Index

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

techradar.com appeared as a cited source in 448 of 15,782 monitored answer runs (2.84%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 2.84%
- Cited runs: 448 of 15,782
- Days cited: 99 of 125
- Engine breadth: 4 observed engines (chatgpt, claude, gemini, perplexity)
- Confidence: Confidence A
- Standing: #3 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 | 1 | 77 | 7 | 1.30% | Unavailable | #189 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Is it worth it](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | published | 1 | 106 | 7 | 0.94% | Unavailable | #241 of 265 |
| [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 | 6 | 130 | 7 | 4.62% | Unavailable | #39 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 | 13 | 106 | 7 | 12.26% | Unavailable | #6 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 | 5 | 106 | 7 | 4.72% | Unavailable | #58 of 313 |
| [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 | #405 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 | 6 | 137 | 7 | 4.38% | Unavailable | #45 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 | 3 | 132 | 7 | 2.27% | Unavailable | #76 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 | 2 | 71 | 7 | 2.82% | Unavailable | #129 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 | 6 | 132 | 7 | 4.55% | Unavailable | #32 of 417 |
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Best tools](https://machinerelations.ai/index/categories/consumer-finance/best_x) | published | 5 | 132 | 7 | 3.79% | Unavailable | #52 of 236 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Best tools](https://machinerelations.ai/index/categories/cybersecurity/best_x) | published | 7 | 75 | 7 | 9.33% | Unavailable | #19 of 213 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [How buyers choose](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | published | 1 | 131 | 7 | 0.76% | Unavailable | #302 of 325 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Is it worth it](https://machinerelations.ai/index/categories/cybersecurity/is_x_worth) | published | 3 | 131 | 7 | 2.29% | Unavailable | #88 of 227 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 23 | 623 | 54 | 3.69% | Unavailable | #27 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Problem-first research](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | published | 6 | 125 | 7 | 4.80% | Unavailable | #29 of 263 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Comparisons](https://machinerelations.ai/index/categories/cybersecurity/x_vs_y) | published | 3 | 107 | 7 | 2.80% | Unavailable | #72 of 189 |
| [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 | 5 | 105 | 7 | 4.76% | Unavailable | #31 of 181 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Best tools](https://machinerelations.ai/index/categories/education-training/best_x) | published | 5 | 106 | 7 | 4.72% | Unavailable | #50 of 263 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Best tools](https://machinerelations.ai/index/categories/emergent-prosumer/best_x) | published | 21 | 100 | 7 | 21.00% | Unavailable | #2 of 219 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [How buyers choose](https://machinerelations.ai/index/categories/emergent-prosumer/how_choose) | published | 14 | 100 | 7 | 14.00% | Unavailable | #4 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 | 11 | 100 | 7 | 11.00% | Unavailable | #9 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 | #145 of 162 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Top lists](https://machinerelations.ai/index/categories/emergent-prosumer/top_list) | published | 14 | 101 | 7 | 13.86% | Unavailable | #4 of 211 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Best tools](https://machinerelations.ai/index/categories/enterprise-software/best_x) | published | 8 | 101 | 7 | 7.92% | Unavailable | #22 of 167 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Is it worth it](https://machinerelations.ai/index/categories/enterprise-software/is_x_worth) | published | 1 | 107 | 7 | 0.93% | Unavailable | #185 of 194 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 22 | 596 | 53 | 3.69% | Unavailable | #26 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 | 5 | 106 | 7 | 4.72% | Unavailable | #19 of 258 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Top lists](https://machinerelations.ai/index/categories/enterprise-software/top_list) | published | 6 | 114 | 7 | 5.26% | Unavailable | #44 of 264 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Comparisons](https://machinerelations.ai/index/categories/enterprise-software/x_vs_y) | published | 3 | 114 | 7 | 2.63% | Unavailable | #88 of 186 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Best tools](https://machinerelations.ai/index/categories/family-software/best_x) | published | 39 | 114 | 7 | 34.21% | Unavailable | #1 of 118 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [How buyers choose](https://machinerelations.ai/index/categories/family-software/how_choose) | published | 13 | 104 | 7 | 12.50% | Unavailable | #5 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 | 13 | 100 | 7 | 13.00% | Unavailable | #7 of 114 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Problem-first research](https://machinerelations.ai/index/categories/family-software/problem_first) | published | 9 | 108 | 7 | 8.33% | Unavailable | #10 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Top lists](https://machinerelations.ai/index/categories/family-software/top_list) | published | 6 | 108 | 7 | 5.56% | Unavailable | #27 of 195 |
| [Family Software](https://machinerelations.ai/index/categories/family-software) | [Comparisons](https://machinerelations.ai/index/categories/family-software/x_vs_y) | published | 18 | 108 | 7 | 16.67% | Unavailable | #8 of 101 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 3 | 108 | 7 | 2.78% | Unavailable | #78 of 224 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [News-driven citations](https://machinerelations.ai/index/categories/fintech/news_topic) | published | 5 | 616 | 53 | 0.81% | Unavailable | #260 of 1,531 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Problem-first research](https://machinerelations.ai/index/categories/fintech/problem_first) | published | 1 | 102 | 7 | 0.98% | Unavailable | #156 of 171 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Top lists](https://machinerelations.ai/index/categories/fintech/top_list) | published | 1 | 102 | 7 | 0.98% | Unavailable | #189 of 200 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Comparisons](https://machinerelations.ai/index/categories/fintech/x_vs_y) | published | 3 | 102 | 7 | 2.94% | Unavailable | #70 of 136 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Best tools](https://machinerelations.ai/index/categories/healthcare-services/best_x) | collecting | 1 | 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 | 2 | 613 | 53 | 0.33% | Unavailable | #577 of 1,264 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Top lists](https://machinerelations.ai/index/categories/healthcare-services/top_list) | collecting | 4 | 78 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Best tools](https://machinerelations.ai/index/categories/hr-talent/best_x) | collecting | 7 | 72 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [How buyers choose](https://machinerelations.ai/index/categories/hr-talent/how_choose) | collecting | 2 | 71 | 5 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [News-driven citations](https://machinerelations.ai/index/categories/hr-talent/news_topic) | published | 16 | 608 | 53 | 2.63% | Unavailable | #53 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 | 2 | 65 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Top lists](https://machinerelations.ai/index/categories/hr-talent/top_list) | collecting | 3 | 35 | 2 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Comparisons](https://machinerelations.ai/index/categories/hr-talent/x_vs_y) | collecting | 5 | 35 | 2 | 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 | 75 | 2,138 | 54 | 3.51% | Unavailable | #14 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 | 12 | 602 | 53 | 1.99% | Unavailable | #86 of 1,244 |

## Citation

TechRadar (techradar.com), 2.84% citation rate, 448 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/techradar.com.

## Badge

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

[![TechRadar (techradar.com), 2.84% citation rate, 448 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/techradar.com.](https://machinerelations.ai/index/domains/techradar.com/badge.svg)](https://machinerelations.ai/index/domains/techradar.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.