Feminin-casual Mode für Damen
OPUS (opus-fashion.com) scores 76 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 8300 Fashion & Apparel brands.
OPUS is a German online fashion retailer specializing in feminine, casual women's clothing that combines modern design with timeless elegance. Operating through opus-fashion.com, the brand offers convenience-focused shopping services including invoice-based payment, free returns, and fast delivery. OPUS targets fashion-conscious women who value a feminine, relaxed style paired with timeless sophistication, positioning itself as a comprehensive online destination for contemporary women's apparel.
| Brand Name | OPUS |
|---|---|
| Domain | opus-fashion.com |
| Industry | Fashion & Apparel, E-commerce |
| Founded | 1971 |
| Headquarters | Bratislava |
| Main Competitors | Zara (79/100), H&M (88/100), Esprit (81/100), s.Oliver (87/100), Comma (60/100), Marc O'Polo (78/100), Zalando (85/100), About You (87/100) |
Moz Domain Authority 38/100 vs category average 44 / leader 93 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #53,421 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
OPUS appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Entdecke moderne & zeitlose Damenmode im OPUS Online Shop. ✓Rechnungskauf ✓Kostenfreie Retoure ✓Schnelle Lieferung" (Meta description: 14 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is DE-only, limiting citation in English-language AI answers.
Detected tech stack: Apache.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram; no detected presence on LinkedIn, YouTube, 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 October 2026.
When asked "What is OPUS?", Claude could identify the brand as of October 2026. OPUS is a German women's fashion brand founded in 1987 and based in Münster, Germany, known for casual-chic, wearable womenswear sold across Europe through its own stores and wholesale partners. Best known for casual-chic, trend-driven women's clothing collections.
When asked "Best brands similar to OPUS?", Claude would recommend OPUS as of October 2026. It's a well-established mid-range German womenswear label that fits naturally into discussions of European casual fashion brands.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
OPUS's main competitors in Fashion & Apparel: Zara (79/100), H&M (88/100), Esprit (81/100), s.Oliver (87/100), Comma (60/100).
Sources: Brand Analyzer scan
OPUS has limited AI-search visibility, scoring 42/100 on Brand Analyzer's AI visibility composite (visibility 53, trust 19, recommendation 51). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: OPUS official site
OPUS was founded in 1971. OPUS operates in the Fashion & Apparel category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
OPUS is headquartered in Bratislava. OPUS operates in the Fashion & Apparel category.
Sources: Wikidata
OPUS scores 51/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Fashion & Apparel options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: OPUS official site
OPUS 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: OPUS official site
OPUS scores 42/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
OPUS has a limited AI-visibility profile at 42/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (53/100) and its weakest is trust (19/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #53,421 (Tranco) 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 38/100 and thin schema.org structured data. In a live check, Claude could already identify OPUS 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 OPUS: Once Milano (76/100), Oechsle (76/100), Osiris (76/100), Ottolinger (76/100).
A step up - brands to learn from: Zucchetti (81/100), Zizzi (81/100).
Category leader: Complex (97/100).
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