Ledige lejeboliger i hele landet
Findbolig (findbolig.nu) scores 60 out of 100 on Brand Analyzer, placing it in the Developing tier among Real Estate brands, in the 7th percentile of 14213 Real Estate brands.
Findbolig (findbolig.nu) is a Danish online platform dedicated to helping individuals and families find available rental housing across Denmark. Operated by DEAS Gruppen, it aggregates a wide range of rental listings from across the country onto a single site, simplifying the search process for tenants. The platform positions itself as a central, reliable resource for housing seekers in Denmark.
| Brand Name | Findbolig |
|---|---|
| Domain | findbolig.nu |
| Industry | Real Estate |
| Parent Company / Owner | DEAS Gruppen |
| Main Competitors | BoligPortal (77/100), Lejebolig.dk (74/100), Boligdeal.dk (70/100), Boligsiden (73/100), EDC (82/100) |
Ranked #1,533,698 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 "At gøre det nemt for folk at finde ledige lejeboliger i hele Danmark." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, 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.
Content is DA-only, limiting citation in English-language AI answers.
Detected tech stack: Vue.
Social footprint: verified profiles on Instagram; no detected presence on Facebook, X (Twitter), 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 November 2026.
When asked "What is Findbolig?", Claude could identify the brand as of November 2026. Findbolig.nu is a Danish online housing portal that lets users search for and apply to rental housing, particularly non-profit and social housing (almene boliger) across various Danish municipalities and housing associations. Best known for Being a centralized application platform for social/non-profit rental housing in Denmark.
When asked "Best brands similar to Findbolig?", Claude would recommend Findbolig as of November 2026. It's a well-known and practical resource for anyone looking for rental housing in Denmark, especially non-profit housing associations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Findbolig's main competitors in Real Estate: BoligPortal (77/100), Lejebolig.dk (74/100), Boligdeal.dk (70/100), Boligsiden (73/100), EDC (82/100).
Sources: Brand Analyzer scan
Findbolig has low AI-search visibility, scoring 13/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 4, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Findbolig official site
Findbolig offers a platform for browsing and searching available rental properties located throughout Denmark. Its core service is the aggregation of rental listings, allowing users to search for homes to rent in one centralized location rather than navigating multiple separate sites.
Sources: Findbolig official site
Findbolig scores 48/100 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: Findbolig official site
Findbolig is a Danish online platform that aggregates available rental housing listings from across Denmark, operated by DEAS Gruppen. It serves as a central portal for people and families searching for rental homes, bringing together listings from various sources into one easy-to-use site.
Sources: Findbolig official site
Findbolig collects and displays a broad range of available rental properties from across Denmark on a single platform. It allows users to search for rental housing in one place rather than checking multiple individual sources, simplifying the process of finding a home to rent.
Sources: Findbolig official site
Findbolig 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: Findbolig official site
Findbolig is used by individuals and families in Denmark who are searching for a rental home. The platform is designed for tenants seeking available lejeboliger (rental properties) throughout the country.
Sources: Findbolig official site
Findbolig is known for being a centralized portal that consolidates rental housing listings from across Denmark, making it easier for tenants to search for available homes. It is associated with DEAS Gruppen, a known player in Danish real estate and property management.
Sources: Findbolig official site
Findbolig scores 13/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Findbolig has a weak AI-visibility profile at 13/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #1,533,698 (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, no strong Wikidata entry and thin schema.org structured data. In a live check, Claude could already identify Findbolig from memory (November 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 Findbolig: Fenestra (60/100), Driver, McAfee, Hawthorne & Diebenow, PLLC (DMHD) (60/100), Findlay Roofing (60/100), Forbes & Lomax (60/100).
A step up - brands to learn from: Zug Estates (71/100), Ed. Züblin AG (71/100).
Category leader: Chaos (95/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.