Dark aesthetics, boldly worn
Disturbia (disturbiaclothing.com) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Fashion & Apparel brands, E-commerce brands, in the 41st percentile of 5292 Fashion & Apparel brands.
Disturbia is an e-commerce brand offering a curated collection of gothic and darkly romantic alternative clothing, accessories, and homewares. It caters to individuals who identify with gothic, alternative, and dark romantic subcultures, providing apparel and décor that let customers express a distinct dark aesthetic. The brand blends fashion with lifestyle products, positioning itself as a destination for alternative style within this subculture-focused market.
| Brand Name | Disturbia |
|---|---|
| Domain | disturbiaclothing.com |
| Industry | Fashion & Apparel, E-commerce |
| Main Competitors | Killstar (84/100), Dolls Kill (88/100), Punk Rave (75/100), Hot Topic (83/100), Attitude Clothing (76/100), Restyle (82/100), Iron Fist (76/100) |
Moz Domain Authority 12/100 vs category average 46 / leader 93 - 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 a curated collection of gothic and darkly romantic alternative clothing, accessories, and homewares. Shop unique styles, from elegant apparel to moody décor, perfect for e…" (Meta description: 29 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. 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.
Detected tech stack: Cloudflare, Shopify.
Social footprint: verified profiles on Facebook, Instagram, LinkedIn, YouTube; no detected presence on X (Twitter), GitHub - 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 Disturbia?", Claude could identify the brand as of September 2026. Disturbia is a UK-based alternative fashion brand known for gothic, punk, and grunge-inspired clothing and accessories, popular within alternative, emo, and rave subcultures. Best known for Gothic and alternative streetwear with occult, witchy, and grunge-inspired graphics and designs.
When asked "Best brands similar to Disturbia?", Claude would recommend Disturbia as of September 2026. It's a well-known name in the alternative fashion space, often mentioned alongside brands like Killstar for gothic and subculture-focused clothing.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Disturbia's main competitors in Fashion & Apparel: Killstar (84/100), Dolls Kill (88/100), Punk Rave (75/100), Hot Topic (83/100), Attitude Clothing (76/100).
Sources: Brand Analyzer scan
Disturbia has low AI-search visibility, scoring 24/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 18, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Disturbia official site
Disturbia scores 42/100 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: Disturbia official site
Disturbia 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: Disturbia official site
Disturbia offers a range of products including gothic and darkly romantic clothing, accessories, and homewares. Its apparel line includes elegant, alternative-style clothing, while its lifestyle offerings include moody décor items designed for customers who want to express a dark aesthetic throughout their wardrobe and home.
Sources: Disturbia official site
Disturbia is an e-commerce brand that sells a curated collection of gothic and darkly romantic alternative clothing, accessories, and homewares. It caters to individuals who identify with gothic, alternative, and dark subculture aesthetics, offering products that combine fashion with lifestyle and décor items.
Sources: Disturbia official site
Disturbia curates and sells clothing, accessories, and home décor items designed around a gothic and darkly romantic alternative aesthetic. It operates as an online retailer, allowing customers to shop for apparel and lifestyle products that reflect an alternative, dark subculture identity.
Sources: Disturbia official site
Disturbia's products are used by individuals who identify with gothic, alternative, and dark romantic subcultures. These customers seek unique clothing, accessories, and home décor items that allow them to express their distinct aesthetic in both personal style and living spaces.
Sources: Disturbia official site
Disturbia scores 24/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Disturbia has a weak AI-visibility profile at 24/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (42/100) and its weakest is visibility (17/100). 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 12/100 and thin schema.org structured data. In a live check, Claude could already identify Disturbia 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 Disturbia: Vs Everybody (77/100), Desmond & Dempsey (77/100), Druni (77/100), Duresta (77/100).
A step up - brands to learn from: Zucchetti (81/100), Zivame (81/100).
Category leader: Complex (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.