Forschungsplattformen in Nord- und Ostsee
FINO1,2,3 (fino-offshore.de) scores 64 out of 100 on Brand Analyzer, placing it in the Developing tier among Energy & Utilities brands, Education brands, Other brands, in the 11th percentile of 7882 Energy & Utilities brands.
FINO1,2,3 refers to three dedicated offshore research platforms located in the North Sea and Baltic Sea, operated under the umbrella of the website fino-offshore.de, which is run by the Forschungs- und Entwicklungszentrum Fachhochschule Kiel GmbH. The platforms gather live data and scientific insights on offshore wind energy conditions in German waters. Their mission is to support research and development projects that improve understanding of the technical and environmental conditions relevant to offshore wind power generation, serving as key scientific infrastructure for researchers, engineers, and policymakers in the renewable energy sector.
| Brand Name | FINO1,2,3 |
|---|---|
| Domain | fino-offshore.de |
| Industry | Energy & Utilities, Education |
| Parent Company / Owner | Forschungs- und Entwicklungszentrum Fachhochschule Kiel GmbH |
| Main Competitors | Fraunhofer IWES, Bundesamt für Seeschifffahrt und Hydrographie (BSH) (71/100), DTU Wind Energy, RAVE (Research at Alpha Ventus) (64/100), TNO Energy Transition (89/100) |
Moz Domain Authority 29/100 vs category average 39 / leader 92 - 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 "Informationen rund um die Forschungsplattformen in Nord- und Ostsee Nr.1,2,3. Betreiber der Webseite ist das Forschungs- und Entwicklungszentrum Fachhochschule Kiel GmbH." (Meta description: 21 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and 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 DE-only, limiting citation in English-language AI answers.
Detected tech stack: Apache.
Social footprint: verified profiles on YouTube, Facebook, Instagram; no detected presence on X (Twitter), LinkedIn, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
FINO1,2,3's main competitors in Energy & Utilities: Bundesamt für Seeschifffahrt und Hydrographie (BSH) (71/100), RAVE (Research at Alpha Ventus) (64/100), TNO Energy Transition (89/100).
Sources: Brand Analyzer scan
FINO1,2,3 is the collective name for three dedicated offshore research platforms situated in the North Sea and Baltic Sea, used to study conditions relevant to offshore wind energy. The website fino-offshore.de provides information about these platforms and is operated by the Forschungs- und Entwicklungszentrum Fachhochschule Kiel GmbH.
Sources: FINO1,2,3 official site
FINO1,2,3 has low AI-search visibility, scoring 14/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 12, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: FINO1,2,3 official site
FINO1,2,3 operates three research platforms that collect live data and scientific findings related to offshore wind energy conditions. The platforms support research and development projects aimed at improving understanding of the technical and environmental factors affecting offshore wind power generation in German waters.
Sources: FINO1,2,3 official site
FINO1,2,3 scores 42/100 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.
Sources: FINO1,2,3 official site
FINO1,2,3 provides live data and scientific research findings from its three offshore platforms regarding wind, wave, and other environmental conditions relevant to offshore wind energy development in the North Sea and Baltic Sea.
Sources: FINO1,2,3 official site
FINO1,2,3 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: FINO1,2,3 official site
FINO1,2,3 is used by researchers, scientists, engineers, and institutions working in renewable energy and offshore wind power, as well as political and economic decision-makers who rely on its data for policy and planning purposes.
Sources: FINO1,2,3 official site
FINO1,2,3 is known for operating three dedicated scientific research platforms in the North Sea and Baltic Sea that provide live data and research findings on offshore wind energy conditions, serving as important infrastructure for Germany's offshore wind research sector.
Sources: FINO1,2,3 official site
FINO1,2,3 scores 14/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
FINO1,2,3 has a weak AI-visibility profile at 14/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (42/100) and its weakest is visibility (0/100). It benefits from 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 a low Moz Domain Authority of 29/100.
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 FINO1,2,3: FEFPEB (64/100), European Water Association (EWA) (64/100), Franki (64/100), Fresnillo plc (64/100).
A step up - brands to learn from: Yellow Door Energy (71/100), Yazaki Group (71/100).
Category leader: Electrek (96/100).
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