Smart byhavn, effektive løsninger
Moss Havn (mosshavn.no) scores 65 out of 100 on Brand Analyzer, placing it in the Developing tier among Travel & Hospitality brands, Manufacturing brands, Energy & Utilities brands, in the 12th percentile of 14005 Travel & Hospitality brands.
Moss Havn is a port located in Moss, Norway, situated in the Oslofjord. It is an environmentally certified, stamnett (trunk network) harbor with 670 meters of quay length and 10 meters of depth, enabling efficient ship traffic and logistics. The port serves shipping companies, businesses, logistics operators, and visiting guests including motorhome tourists. Its stated mission is to create a smart city harbor that delivers profitable solutions benefiting the city and local industry.
| Brand Name | Moss Havn |
|---|---|
| Domain | mosshavn.no |
| Industry | Travel & Hospitality, Manufacturing |
| Headquarters | Moss, Norway |
| Main Competitors | Oslo Havn (68/100), Borg Havn (61/100), Drammen Havn (69/100), Larvik Havn (51/100), Grenland Havn (66/100) |
Moz Domain Authority 10/100 vs category average 44 / leader 94 - 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 "Moss Havn er en effektiv, miljøsertifisert og serviceinnstilt stamnetthavn. Havnen ligger midt i Oslofjorden med til sammen 670 meter kailengde." (Meta description: 20 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. 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.
Detected tech stack: Cloudflare, React, Vue.
Social footprint: verified profiles on Facebook, LinkedIn, Instagram; no detected presence on 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 Moss Havn?", Claude could not identify the brand as of October 2026. I don't recognize Moss Havn specifically; it appears to be a small or local Norwegian travel/hospitality business, possibly tied to the town of Moss, and likely has too limited an online footprint for me to have reliable details about it.
When asked "Best brands similar to Moss Havn?", Claude would not surface Moss Havn as of October 2026. I don't have verified information about what it offers or how it compares to other brands, so I can't confidently recommend it.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Moss Havn's main competitors in Travel & Hospitality: Oslo Havn (68/100), Borg Havn (61/100), Drammen Havn (69/100), Larvik Havn (51/100), Grenland Havn (66/100).
Sources: Brand Analyzer scan
Moss Havn has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 15, trust 7, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Moss Havn official site
Moss Havn scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Travel & Hospitality options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Moss Havn official site
Moss Havn is a port situated in Moss, Norway, in the Oslofjord. It functions as a stamnetthavn (part of Norway's national trunk port network), offering 670 meters of quay length and 10 meters of water depth to accommodate ship traffic and cargo logistics.
Sources: Moss Havn official site
Moss Havn 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: Moss Havn official site
Moss Havn offers port and harbor services including quay space (670 meters) for docking and loading/unloading ships, deep-water access (10 meters) suitable for larger vessels, and logistics support for shipping companies and businesses. It also provides services for guests, including motorhome tourists visiting the Oslofjord area.
Sources: Moss Havn official site
Moss Havn provides harbor and port services to ships, businesses, and logistics operators in the Oslofjord area. It manages quay infrastructure for loading, unloading, and docking, supports efficient logistics operations, and also offers services to visiting guests such as motorhome tourists.
Sources: Moss Havn official site
Moss Havn is used by shipping companies (rederier), businesses and logistics operators needing port access in the Oslofjord region, as well as motorhome tourists and other visiting guests requiring harbor services.
Sources: Moss Havn official site
Moss Havn is known for being a strategically located, environmentally certified stamnetthavn in the Oslofjord with 670 meters of quay length and 10 meters of depth, enabling efficient maritime logistics for shipping and commercial traffic.
Sources: Moss Havn official site
Moss Havn scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Moss Havn has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is trust (7/100). It benefits from a Wikidata knowledge-graph entry 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, a low Moz Domain Authority of 10/100 and thin schema.org structured data. In a live check (October 2026), Claude could not identify Moss Havn 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 Moss Havn: Millstätter See - Bad Kleinkirchheim & Nockberge (65/100), Mercadoroma (65/100), Mozarthaus Vienna (65/100), Earth Lagoon Mývatn (65/100).
A step up - brands to learn from: Zambia Travel (71/100), Yellow Dog Software (71/100).
Category leader: Cvent (97/100).
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