Global Solar Irradiance Data, Simplified
Meteonorm (meteonorm.com) scores 75 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Energy & Utilities brands, Technology brands, SaaS brands, in the 48th percentile of 9693 Energy & Utilities brands.
Meteonorm is a provider of global solar irradiance and weather data designed for solar energy planning, optimization, and management. It combines typical meteorological year (TMY) data, historical records, satellite measurements, and climate change scenarios, delivering this information via API, DLL, and app for integration into solar energy projects. The platform targets solar developers, engineers, scientists, and infrastructure operators who need reliable data for planning, construction, monitoring, and research applications worldwide.
| Brand Name | Meteonorm |
|---|---|
| Domain | meteonorm.com |
| Industry | Energy & Utilities, Technology |
| Main Competitors | Solargis (84/100), Solcast (81/100), SolarAnywhere (Clean Power Research) (80/100), Vaisala (89/100), PVsyst |
Ranked #1,746,621 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 "Get high-quality global solar irradiance data, temperature, weather parameters for solar planning, optimization, energy management: API, DLL, APP." (Meta description: 18 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, 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: Nginx.
Social footprint: verified profiles on Facebook, Instagram; no detected presence on 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 Meteonorm?", Claude could identify the brand as of November 2026. Meteonorm is a software and database product developed by Meteotest, a Swiss company, that provides global meteorological data and solar irradiance data for use in renewable energy system design and simulation. It's widely used by engineers and researchers to generate typical met Best known for Providing global solar radiation and climate data used for designing and simulating photovoltaic and solar thermal systems.
When asked "Best brands similar to Meteonorm?", Claude would recommend Meteonorm as of November 2026. It's one of the most established and widely cited sources of synthetic meteorological data for renewable energy modeling, so it's a natural mention alongside tools like PVGIS or NASA POWER.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Meteonorm's main competitors in Energy & Utilities: Solargis (84/100), Solcast (81/100), SolarAnywhere (Clean Power Research) (80/100), Vaisala (89/100).
Sources: Brand Analyzer scan
Meteonorm has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 14, recommendation 63). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Meteonorm official site
Meteonorm offers access to global solar irradiance and weather data through multiple integration formats: an API, a DLL, and an application (APP). The data includes typical meteorological year (TMY) records, historical weather data, satellite-based measurements, and climate change scenarios. These offerings are designed to support solar planning, system optimization, and energy management tasks for professionals working in solar energy development and research.
Sources: Meteonorm official site
Meteonorm scores 63/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Energy & Utilities options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Meteonorm official site
Meteonorm is a data service providing high-quality global solar irradiance and weather information for solar energy applications. It offers data accessible through an API, DLL, and app, intended for use in planning, optimization, and management of solar energy systems. The service combines typical meteorological year (TMY) data, historical weather records, satellite measurements, and climate change scenarios to support accurate solar resource assessment.
Sources: Meteonorm official site
Meteonorm provides solar irradiance and weather data for solar energy planning, optimization, and energy management. It delivers data such as TMYs, historical records, satellite measurements, and climate change scenarios, making this information accessible through an API, DLL, and app so it can be integrated into solar energy project workflows, including planning, construction, monitoring, and research applications.
Sources: Meteonorm official site
Meteonorm 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: Meteonorm official site
Meteonorm is used by solar energy developers, engineers, scientists, and infrastructure operators who need reliable solar irradiance and weather data. These users rely on the data for planning new solar installations, optimizing system performance, managing energy operations, and conducting research, as well as for construction and ongoing monitoring of solar energy infrastructure worldwide.
Sources: Meteonorm official site
Meteonorm is known for providing high-quality, science-based global solar irradiance and weather data used specifically for solar energy planning and management. Its data combines typical meteorological year records, historical measurements, satellite data, and climate change scenarios, and is distributed through flexible integration options such as an API, DLL, and application, making it usable across various stages of solar project development.
Sources: Meteonorm official site
Meteonorm scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Meteonorm 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 (63/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #1,746,621 (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 Meteonorm 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 Meteonorm: Metal Technology (75/100), MentorAPM (75/100), Métropole du Grand Paris (75/100), Micromine (75/100).
A step up - brands to learn from: ZeroNorth (81/100), ZERO (81/100).
Category leader: Electrek (96/100).
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