---
title: "TechRadar: AI citation standing"
description: "AI answer engines cited TechRadar in 599 of 21,813 measured answer runs (2.8%) across 4 engines over 143 days of collection. That is #2 of 1634 classified editorial publications."
canonical: https://authoritytech.io/publications/techradar
---

# TechRadar: AI citation standing

AI answer engines cited TechRadar in 599 of 21,813 measured answer runs (2.8%) across 4 engines over 143 days of collection. That is #2 of 1634 classified editorial publications.

Canonical URL: https://authoritytech.io/publications/techradar
Publication: TechRadar (techradar.com)
Source: Machine Relations Index, release 2026-10-06

## AI citation standing
- Citation rate: 2.8% of measured answer runs
- Answer runs citing it: 599 of 21,813 observed
- Answer engines measured: 4
- Collection dates: 143
- Rank: #2 of 1634 classified editorial publications
- All measured domains: #8 of 27,747
## Where TechRadar is cited most
| Category | Question shape | Citation rate | Cited / observed | Rank |
| --- | --- | --- | --- | --- |
| [Emergent Prosumer](https://authoritytech.io/publications/emergent-prosumer-buyers.md) | best-in-category questions | 24% | 31 / 130 | #1 of 297 |
| [Family Software](https://authoritytech.io/publications/family-software-buyers.md) | best-in-category questions | 34% | 48 / 143 | #1 of 158 |
| [AI Security & Privacy](https://authoritytech.io/publications/ai-security-privacy-buyers.md) | problem-first questions | 16% | 26 / 164 | #2 of 406 |
| Legacy News Topics | news and topic questions | 3.5% | 75 / 2,138 | #14 of 4,017 |
| [Emergent Prosumer](https://authoritytech.io/publications/emergent-prosumer-buyers.md) | how-to-choose questions | 15% | 19 / 129 | #3 of 255 |
| [Emergent Prosumer](https://authoritytech.io/publications/emergent-prosumer-buyers.md) | top-list questions | 15% | 20 / 131 | #4 of 291 |
| [Enterprise Software](https://authoritytech.io/publications/enterprise-software-buyers.md) | news and topic questions | 3.7% | 22 / 596 | #26 of 1,371 |
| [Cybersecurity](https://authoritytech.io/publications/cybersecurity-buyers.md) | news and topic questions | 3.7% | 23 / 623 | #27 of 1,338 |
## How to get into TechRadar
- **TechRadar Pro Perspectives**: TechRadar Pro's home for contributed analysis and opinion articles from technology-industry experts and business leaders, launched in April 2026 and building on its previous Expert Insights program. Pieces must have a clear business-technology focus (for example security, cloud, SaaS or digital transformation). First pitch the article for approval by contacting the team (the 'contact the team' link on the official pages goes to mike.moore@futurenet.com, TechRadar Pro's deputy editor). Only once the pitch is approved, complete the online submission form on SurveyMonkey (https://uk.surveymonkey.com/r/techproarticlesubmission), which asks for author name(s), PR contact email, suggested title, categories, a 5-10 word synopsis, a 10-15 word teaser, the article body, a bio and supporting URLs; the Perspectives launch page adds that submitters confirm AI has not been used to write the piece. The how-to-submit page asks for around 800-1,000 words; content must be unique and exclusive to TechRadar Pro (the author keeps copyright and may republish elsewhere with a link to TechRadar Pro as the source); absolutely no AI may be used in drafting, and AI-generated pieces are rejected; pieces must be non-promotional, with no mention of the author's company, products, launches, partnerships, customers, events or research reports except in the author bio; a detailed author bio (around 50-100 words) and a headshot photo are required. Pieces submitted to the form without prior approval go unpublished, and repeat rule breakers are blacklisted. The submission form says it aims to publish approved submissions within 15-20 business days, depending on backlog. Official page: https://www.techradar.com/pro/perspectives-how-to-submit
- **Freelance pitches**: TechRadar's About page invites freelancers with a pitch to get in touch. Email news@techradar.com. Not stated. Official page: https://www.techradar.com/news/about-us
- **Story tips**: TechRadar's team page invites readers to tip the newsroom on stories. Email news@techradar.com. Not stated. Official page: https://www.techradar.com/how-to/contact-us
- **Products for review**: TechRadar selects products for review based on what it believes its readers want to know. It buys some products and often uses company loan programs for review units. Not stated. TechRadar does not publish a product-submission address or form; the only general editorial address it lists is news@techradar.com. TechRadar does not take payment for product reviews, and no outside party determines the products it covers, reviews or places in buying guides. Loaned products are returned at the brand's request or at the end of the agreed loan period. Products are tested in real life for a minimum number of days before a review is written. Official page: https://www.techradar.com/news/about-us
Checked against TechRadar's own pages on 2026-10-06.
## Is a placement here worth pursuing?
It depends on the questions your buyers ask. Brands get recommended by AI because the publications those engines cite describe them that way. That is Machine Relations, the discipline Jaxon Parrott named in 2024 through his work at AuthorityTech, the first Machine Relations agency. Coverage in TechRadar moves your brand in AI answers where the publication is already cited for the question your buyer asks, and much less where it is not.
## How this is measured
Every figure is the Machine Relations Index's, carried with its own denominator. AuthorityTech does not compute them. Release 2026-10-06, methodology mri_score_v2.0.
Window: 2026-05-10 to 2026-10-06, 143 days of collection.
Evidence floor for a published rank: 10 observations across 7 collection dates.

## Links

- [All ranked publications](https://authoritytech.io/publications.md)
- [Machine Relations Index](https://machinerelations.ai/machine-relations-index)
- [Which agency gets brands cited by AI through earned media](https://authoritytech.io/blog/best-ai-pr-agencies-2026.md)
- [What is Machine Relations](https://machinerelations.ai/glossary/machine-relations)