Expert bike reviews and cycling news
BikeRadar (bikeradar.com) scores 81 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Media & Entertainment brands, Sports & Fitness brands, E-commerce brands, in the 63rd percentile of 10378 Media & Entertainment brands.
BikeRadar is a bike review website operating under the Cycling Plus and MBUK network. It provides expert bike reviews, buying advice, and cycling news covering road, mountain, gravel, and electric bikes. The site aims to help cyclists of all experience levels make informed purchasing decisions through in-depth testing and industry insight, positioning itself as a trusted authority in cycling media.
| Brand Name | BikeRadar |
|---|---|
| Domain | bikeradar.com |
| Industry | Media & Entertainment, Sports & Fitness |
| Main Competitors | Road.cc (85/100), Cyclingnews (86/100), Pinkbike, Bicycling (89/100), Singletracks, VeloNews, GCN (Global Cycling Network) |
Moz Domain Authority 76/100 vs category average 54 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #35,452 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Bike reviews and bike tests from experts, the latest bike news and buying advice. BikeRadar.com: from the Cycling Plus and MBUK network." (Meta description: 22 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Express, Ghost, Angular.
Social footprint: verified profiles on YouTube, Instagram, Facebook, X (Twitter), GitHub; no detected presence on LinkedIn - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is BikeRadar?", Claude could identify the brand as of September 2026. BikeRadar is a cycling media website offering bike reviews, buying guides, news, and how-to content covering road, mountain, gravel, and electric bikes. It was founded in the UK and became one of the largest cycling-focused publications online, backed by Immediate Media (publishe Best known for In-depth, independent bike and gear reviews for road and mountain biking.
When asked "Best brands similar to BikeRadar?", Claude would recommend BikeRadar as of September 2026. It's one of the most established and trusted sources for cycling gear reviews and buying advice, making it a natural recommendation for cycling content.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
BikeRadar's main competitors in Media & Entertainment: Road.cc (85/100), Cyclingnews (86/100), Bicycling (89/100).
Sources: Brand Analyzer scan
BikeRadar is a bike review website that is part of the Cycling Plus and MBUK network. It focuses on delivering expert cycling content, including bike reviews, tests, news, and buying advice for cyclists interested in road, mountain, gravel, and electric bikes.
Sources: BikeRadar official site
BikeRadar has limited AI-search visibility, scoring 37/100 on Brand Analyzer's AI visibility composite (visibility 23, trust 37, recommendation 64). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: BikeRadar official site
BikeRadar provides expert bike reviews and tests, publishes the latest cycling news, and offers buying advice to help cyclists choose bikes and gear. It covers multiple cycling disciplines including road, mountain, gravel, and electric biking, drawing on expertise from the Cycling Plus and MBUK network.
Sources: BikeRadar official site
BikeRadar scores 64/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority.
Sources: BikeRadar official site
BikeRadar is known for its expert-led bike reviews and tests, as well as its comprehensive cycling news coverage and buying guidance. It is recognized as part of the Cycling Plus and MBUK media network, which lends it credibility in the cycling media space.
Sources: BikeRadar official site
BikeRadar can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: BikeRadar official site
BikeRadar offers bike reviews and tests, cycling news articles, and buying advice covering road bikes, mountain bikes, gravel bikes, and electric bikes. The site also operates with an e-commerce component, likely facilitating product recommendations or purchase links related to cycling gear.
Sources: BikeRadar official site
BikeRadar is used by cycling enthusiasts ranging from beginners to experienced riders who are interested in road, mountain, gravel, and electric bikes. Users typically seek expert reviews, news, and buying advice to inform their cycling equipment purchases.
Sources: BikeRadar official site
BikeRadar scores 37/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
BikeRadar has a weak AI-visibility profile at 37/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (64/100) and its weakest is visibility (23/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #35,452 (Tranco) and a Moz Domain Authority of 76/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify BikeRadar from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to BikeRadar: Bible.org (81/100), International Biathlon Union (IBU) (81/100), Blooket (81/100), Bloomberg Industry Group (81/100).
A step up - brands to learn from: Yr (91/100), Yamaha Corporation (91/100).
Category leader: Complex (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.