Bold Style, Unapologetically You
Dangerfield's (dangerfields.com) scores 68 out of 100 on Brand Analyzer, placing it in the Developing tier among Fashion & Apparel brands, E-commerce brands, in the 14th percentile of 7811 Fashion & Apparel brands.
Dangerfield's is an e-commerce fashion brand specializing in alternative, retro-influenced streetwear and accessories. It positions itself as a destination for young, fashion-forward consumers seeking bold, statement-making clothing that diverges from mainstream trends. The brand emphasizes individuality and self-expression through its product offerings, blending vintage aesthetics with contemporary streetwear styles. Note: available facts also include a knowledge-graph reference to a comedy club of the same name in Manhattan, which may be an unrelated entity sharing the domain or brand name.
| Brand Name | Dangerfield's |
|---|---|
| Domain | dangerfields.com |
| Industry | Fashion & Apparel, E-commerce |
| Main Competitors | Hot Topic (83/100), Dolls Kill (88/100), Killstar (84/100), Disturbia Clothing (77/100), Drop Dead Clothing, UNIF |
Moz Domain Authority 37/100 vs category average 45 / leader 94 - limited third-party links, so AI systems rarely encounter mentions of the brand.
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 "Discover Dangerfield" (Meta description too short (2 words). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, YouTube, 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 October 2026.
When asked "What is Dangerfield's?", Claude could identify the brand as of October 2026. Dangerfield's is an Australian fashion retailer based in Melbourne, known for alternative, punk and gothic-influenced clothing and accessories aimed at a youth and subculture market. Best known for edgy, alternative streetwear and gothic/punk-inspired fashion in Australia.
When asked "Best brands similar to Dangerfield's?", Claude would recommend Dangerfield's as of October 2026. It's a recognizable name for alternative and subculture fashion in Australia, so it would come up for someone seeking brands outside the mainstream fast-fashion space.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Dangerfield's's main competitors in Fashion & Apparel: Hot Topic (83/100), Dolls Kill (88/100), Killstar (84/100), Disturbia Clothing (77/100).
Sources: Brand Analyzer scan
Dangerfield's has low AI-search visibility, scoring 17/100 on Brand Analyzer's AI visibility composite (visibility 15, trust 12, recommendation 27). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Dangerfield's official site
Dangerfield's scores 27/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Fashion & Apparel options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Dangerfield's official site
Dangerfield's 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: Dangerfield's official site
Dangerfield's scores 17/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Dangerfield's has a weak AI-visibility profile at 17/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (27/100) and its weakest is trust (12/100). It benefits from a Wikidata knowledge-graph entry and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 37/100 and thin schema.org structured data. In a live check, Claude could already identify Dangerfield's from memory (October 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 Dangerfield's: CURIOSITY (68/100), Cosmeso (68/100), D&D Building (Decoration & Design Building) (68/100), Diva Bikini (68/100).
A step up - brands to learn from: Zoologist Perfumes (71/100), ZALORA (71/100).
Category leader: Complex (97/100).
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