Shopping and dining near stations
atre (atre.co.jp) scores 47 out of 100 on Brand Analyzer, placing it in the Early Stage tier among Real Estate brands, E-commerce brands, Food & Beverage brands, in the 1st percentile of 12297 Real Estate brands.
atre is a Japanese commercial brand that operates retail and dining facilities directly connected to train stations. Established in 1989, it provides commuters, travelers, and local residents with convenient access to shopping, dining, and services as part of their daily routines. Positioned as a leading station-based retail and lifestyle brand in Japan, atre combines everyday convenience with quality shopping experiences in high-traffic transit locations.
| Brand Name | atre |
|---|---|
| Domain | atre.co.jp |
| Industry | Real Estate, E-commerce |
| Founded | 1989 |
| Headquarters | San Sebastián de los Reyes |
| Parent Company / Owner | Planeta DeAgostini |
| CEO | Javier Bardaji Hernando |
| Main Competitors | Lumine (40/100), ecute, NEWoMan (49/100), Tokyu Plaza (67/100), Odakyu Department Store (37/100) |
Moz Domain Authority 53/100 vs category average 37 / leader 93 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #126,492 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "これらのクッキーの一部は必要不可欠なものです。その他のクッキーは、これを用いて当社がこのウエブサイトの使用方法に関する情報を取得し、ユーザーエクスペリアンスの改善に役立てます。" (Meta description too short (1 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description. 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), LinkedIn, Facebook, Instagram, 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 atre?", Claude could identify the brand as of October 2026. Atré (atre.co.jp) is a Japanese company, affiliated with JR East, that develops and operates 'atré' shopping and commercial complexes built in or near train stations across Japan. Best known for Operating station-based shopping complexes (atré) in partnership with JR East.
When asked "Best brands similar to atre?", Claude would recommend atre as of October 2026. It's a well-known name in Japan for station-area retail and commercial real estate, so it would come up naturally in discussions of similar JR-affiliated retail property operators like Lumine or Ecute.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
atre's main competitors in Real Estate: Lumine (40/100), NEWoMan (49/100), Tokyu Plaza (67/100), Odakyu Department Store (37/100).
Sources: Brand Analyzer scan
atre has limited AI-search visibility, scoring 29/100 on Brand Analyzer's AI visibility composite (visibility 30, trust 19, recommendation 40). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: atre official site
atre was founded in 1989. atre operates in the Real Estate category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
atre is headquartered in San Sebastián de los Reyes. atre operates in the Real Estate category.
Sources: Wikidata
atre scores 40/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Real Estate options. Recommendation depends on crawlability, structured data, and category authority.
Sources: atre official site
atre 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: atre official site
atre is owned by or part of Planeta DeAgostini. atre operates in the Real Estate category.
Sources: Wikidata
atre is a Japanese station-based retail and lifestyle brand that operates commercial facilities directly linked to train stations, founded in 1989. It offers shopping, dining, and service destinations designed for commuters and travelers as part of their everyday routine.
Sources: atre official site
atre develops and manages shopping and dining complexes built into or adjacent to train stations in Japan. It brings together retail shops, restaurants, and services in these facilities, allowing commuters and travelers to shop and dine conveniently during their daily transit.
Sources: atre official site
atre scores 29/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
atre has a weak AI-visibility profile at 29/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (40/100) and its weakest is trust (19/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #126,492 (Tranco) and a Moz Domain Authority of 53/100. 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 atre 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 atre: American Finance Trust (47/100), Alexandria Real Estate Equities (47/100), E-Chez (47/100), Efidis (47/100).
A step up - brands to learn from: 信义玻璃控股有限公司 (Xinyi Glass Holdings Limited) (56/100), Wind Inspection Services (56/100).
Category leader: Chaos (95/100).
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