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Besqab (besqab.se) scores 75 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Real Estate brands, in the 50th percentile of 13313 Real Estate brands.
Besqab is a Swedish real estate development company founded in 1989 and headquartered in Täby Municipality. The company develops new, high-quality residential properties in attractive locations in the Greater Stockholm area and Uppsala. Its focus is on combining quality, sustainability, and desirable living environments to serve homebuyers and investors seeking newly built housing in these expanding regions.
| Brand Name | Besqab |
|---|---|
| Domain | besqab.se |
| Industry | Real Estate |
| Founded | 1989 |
| Headquarters | Täby Municipality |
| Main Competitors | JM AB (73/100), Skanska (84/100), Peab (76/100), Veidekke, Wallenstam (75/100), HSB (82/100), Riksbyggen (73/100) |
Moz Domain Authority 31/100 vs category average 36 / 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 "Besqab utvecklar nya bostäder av hög kvalitet i attraktiva områden i Storstockholm och Uppsala." (Meta description: 14 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), Organization 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 present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is SV-only, limiting citation in English-language AI answers.
Detected tech stack: Vue.
Social footprint: verified profiles on LinkedIn, Instagram; no detected presence on Facebook, X (Twitter), 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 Besqab?", Claude could identify the brand as of October 2026. Besqab is a Swedish property development company based in the Stockholm area that focuses on developing and building residential housing, particularly bostadsrätter (tenant-owner apartments), in attractive locations in the Stockholm-Uppsala region and Oslo. Best known for Developing residential housing projects, especially tenant-owner apartments in the Stockholm region.
When asked "Best brands similar to Besqab?", Claude would recommend Besqab as of October 2026. It's a known mid-sized Swedish residential developer, so it would be relevant if someone asked about Swedish real estate development companies similar to it.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Besqab's main competitors in Real Estate: JM AB (73/100), Skanska (84/100), Peab (76/100), Wallenstam (75/100), HSB (82/100).
Sources: Brand Analyzer scan
Besqab is a Swedish real estate development company founded in 1989, headquartered in Täby Municipality. It specializes in developing new residential properties in attractive locations within the Greater Stockholm area and Uppsala.
Sources: Besqab official site
Besqab has limited AI-search visibility, scoring 34/100 on Brand Analyzer's AI visibility composite (visibility 23, trust 26, recommendation 63). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Besqab official site
Besqab was founded in 1989. Besqab operates in the Real Estate category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Besqab is headquartered in Täby Municipality. Besqab operates in the Real Estate category.
Sources: Wikidata
Besqab develops new, high-quality residential housing in attractive and expansive areas of Greater Stockholm and Uppsala. The company focuses on creating homes that combine quality, sustainability, and desirable living environments for homebuyers and investors.
Sources: Besqab official site
Besqab offers newly developed residential properties, including housing units in attractive locations throughout Greater Stockholm and Uppsala. The company's offerings are aimed at both homebuyers seeking new homes and investors interested in newly produced residential real estate.
Sources: Besqab official site
Besqab scores 63/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Real Estate options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Besqab official site
Besqab 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: Besqab official site
Besqab is known for developing high-quality new-build residential properties in sought-after locations in the Stockholm and Uppsala regions, positioning itself as a reliable housing developer focused on quality and sustainable living environments.
Sources: Besqab official site
Besqab's offerings are used by homebuyers and investors seeking newly produced, high-quality residential properties in the Greater Stockholm and Uppsala regions.
Sources: Besqab official site
Besqab scores 34/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Besqab has a weak AI-visibility profile at 34/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (63/100) and its weakest is visibility (23/100). 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 31/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Besqab 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 Besqab: Berntsen International (75/100), Bennetts Associates (75/100), BestPlaces (75/100), BEST Range Hoods (75/100).
A step up - brands to learn from: Zucchetti (81/100), Zucchetti (81/100).
Category leader: Chaos (95/100).
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