Danmarks Vand- og Miljøklynge
Clean (cleancluster.dk) scores 80 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Energy & Utilities brands, Non-profit brands, Other brands, in the 76th percentile of 9101 Energy & Utilities brands.
Clean (cleancluster.dk) is a Danish innovation cluster founded in 1987 that brings together companies, researchers, public authorities and entrepreneurs working on water and environmental challenges. It functions as a national innovation platform, facilitating projects, funding opportunities and knowledge-sharing to advance concrete solutions in the water and environmental technology sector in Denmark, with a particular focus on supporting SMEs in environmental technology.
| Brand Name | Clean |
|---|---|
| Domain | cleancluster.dk |
| Industry | Energy & Utilities, Non-profit |
| Founded | 1987 |
| Main Competitors | WaterAlliance (78/100), BlueTech Cluster, Water Europe (71/100), Wetsus (79/100), Dutch Water Sector (71/100) |
Moz Domain Authority 35/100 vs category average 38 / leader 92 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Clean appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Clean er innovationsrummet for dig, som udvikler og har behov for at løse vand- og miljøudfordringer." (Meta description: 16 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, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, canonical. Adding 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: WordPress, Ghost.
Social footprint: verified profiles on LinkedIn, X (Twitter), Facebook, Instagram, GitHub; no detected presence on YouTube - 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 Clean?", Claude could not identify the brand as of October 2026. I don't recognize this specific company, likely because it's a small or niche Danish energy/utilities startup with limited presence in my training data.
When asked "Best brands similar to Clean?", Claude would not surface Clean as of October 2026. I can't vouch for or describe a company I don't have verified knowledge of.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Clean's main competitors in Energy & Utilities: WaterAlliance (78/100), Water Europe (71/100), Wetsus (79/100), Dutch Water Sector (71/100).
Sources: Brand Analyzer scan
Clean has limited AI-search visibility, scoring 37/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 39, recommendation 37). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Clean official site
Clean was founded in 1987. Clean operates in the Energy & Utilities category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Clean scores 37/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Energy & Utilities options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Clean official site
Clean is a Danish innovation cluster and network organization, founded in 1987, that connects companies, researchers, authorities and entrepreneurs working on water and environmental challenges in Denmark.
Sources: Clean official site
Clean creates an innovation space where businesses, researchers and public authorities collaborate to develop solutions to water and environmental problems. It facilitates projects, provides access to funding, and supports knowledge-sharing within the water and environmental technology sector.
Sources: Clean official site
Clean 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: Clean official site
Clean offers access to a national innovation network, project facilitation, funding opportunities, and knowledge-sharing resources for organizations working on water and environmental challenges, particularly SMEs in environmental technology.
Sources: Clean official site
Clean is used by companies, researchers, entrepreneurs and organizations in Denmark that develop or need solutions for water and environmental challenges, including small and medium-sized enterprises (SMEs) in environmental technology.
Sources: Clean official site
Clean is known for being Denmark's national cluster organization dedicated to water and environmental solutions, connecting industry, research and government stakeholders since 1987.
Sources: Clean official site
Clean scores 37/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Clean has a weak AI-visibility profile at 37/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (39/100) and its weakest is visibility (35/100). 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 35/100 and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify Clean 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 Clean: CleanCapital (80/100), CIRI (Cook Inlet Region, Inc.) (80/100), Clean Power Research (80/100), Clemco (80/100).
A step up - brands to learn from: ZeroNorth (81/100), ZERO (81/100).
Category leader: Electrek (96/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.