Publication intelligence · Machine Relations Index
Does being published in TechRadar get your brand cited by AI?
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.
Where TechRadar is cited most
Each row is one buyer category and one question shape the Index measures. The rank is against every source cited on that same set of answer runs, so a placement is worth most where the publication already ranks high for the question your buyer asks.
| Category | Question shape | Citation rate | Cited / observed | Rank |
|---|---|---|---|---|
| Emergent Prosumer | best-in-category questions | 24% | 31 / 130 | #1 of 297 |
| Family Software | best-in-category questions | 34% | 48 / 143 | #1 of 158 |
| AI Security & Privacy | 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 | how-to-choose questions | 15% | 19 / 129 | #3 of 255 |
| Emergent Prosumer | top-list questions | 15% | 20 / 131 | #4 of 291 |
| Enterprise Software | news and topic questions | 3.7% | 22 / 596 | #26 of 1,371 |
| Cybersecurity | 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 [email protected], 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.
TechRadar’s own pageFreelance pitches
TechRadar's About page invites freelancers with a pitch to get in touch.
Email [email protected].
Not stated.
TechRadar’s own pageStory tips
TechRadar's team page invites readers to tip the newsroom on stories.
Email [email protected].
Not stated.
TechRadar’s own pageProducts 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 [email protected].
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.
TechRadar’s own page
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. The table above is what decides whether coverage in TechRadar moves your brand in AI answers at all: it moves 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 on this page is the Machine Relations Index’s, carried with its own denominator. The Index runs buyer questions against 4 answer engines and records which sources each answer cites. This release covers 2026-05-10 to 2026-10-06, 143 days of collection. A publication carries a published rank once it clears the Index's evidence floor of 10 observations across 7 collection dates; below it, the standing reads as still collecting. AuthorityTech does not compute these numbers. Machine Relations Index publishes them, release 2026-10-06, methodology mri_score_v2.0.