Meilleurs prix sur le matériel de ski
Addicted (addictedfr.com) scores 59 out of 100 on Brand Analyzer, placing it in the Developing tier among E-commerce brands, Sports & Fitness brands, Fashion & Apparel brands, in the 6th percentile of 27350 E-commerce brands.
Addicted (addictedfr.com) is an online retailer specializing in ski equipment and winter sports accessories. The site offers a curated selection of ski products at competitive prices, with free shipping and limited-time promotions. It targets skiers and winter sports enthusiasts seeking quality gear at affordable prices, positioning itself as a go-to e-commerce destination for ski equipment.
| Brand Name | Addicted |
|---|---|
| Domain | addictedfr.com |
| Industry | E-commerce, Sports & Fitness |
| Main Competitors | Decathlon (76/100), Glisshop (80/100), Snowleader (80/100), Ekosport (81/100), Alltricks (75/100) |
Moz Domain Authority 4/100 vs category average 40 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Addicted appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Découvrez Des Offres Exceptionnelles Sur Les Skis Chez Matériel De Ski Boutique ! Profitez De Nos Offres À Durée Limitée Sur Une Sélection De Produits, Avec Livraison Gratuite. Ne …" (Meta description: 34 words. 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), Organization schema, Breadcrumb/Website schema, Product/Article schema, og:title, og:description, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is FR-only, limiting citation in English-language AI answers.
Detected tech stack: Nginx, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), Instagram; no detected presence on LinkedIn, Facebook, 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 Addicted?", Claude could not identify the brand as of October 2026. I don't recognize this specific company, addictedfr.com may be a small or regional French e-commerce brand that isn't well represented in my training data.
When asked "Best brands similar to Addicted?", Claude would not surface Addicted as of October 2026. I can't recommend a brand I don't have verified information about.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Addicted's main competitors in E-commerce: Decathlon (76/100), Glisshop (80/100), Snowleader (80/100), Ekosport (81/100), Alltricks (75/100).
Sources: Brand Analyzer scan
Addicted has limited AI-search visibility, scoring 36/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 29, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Addicted official site
Addicted scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest E-commerce options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Addicted official site
Addicted 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: Addicted official site
Addicted scores 36/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Addicted has a weak AI-visibility profile at 36/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is trust (29/100). It benefits from a Wikidata knowledge-graph entry, open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 4/100 and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify Addicted from memory, confirming the gaps above.
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 Addicted: ADAFZ (59/100), ACTUS（アクタス） (59/100), Alihealth (59/100), AlliedBeverageGroup.com (59/100).
A step up - brands to learn from: Zypp Electric (71/100), Zoologist Perfumes (71/100).
Category leader: DHL (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.