Solar and Wind Data Power Built for Renewables
Solcast (solcast.com) scores 81 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Energy & Utilities brands, Technology brands, SaaS brands, in the 81st percentile of 9048 Energy & Utilities brands.
Solcast is a provider of high-resolution solar, wind, and weather data and APIs for the renewable energy industry. The company delivers bankable historical datasets and accurate forecasts used for feasibility studies, project development, and real-time energy forecasting. Its data is globally validated and built on DNV best practice, and is used by over 600 companies worldwide. Solcast serves renewable energy developers, forecasters, and analysts who require reliable resource assessment and forecasting data, offering API-based access designed for quick integration.
| Brand Name | Solcast |
|---|---|
| Domain | solcast.com |
| Industry | Energy & Utilities, Technology |
| Main Competitors | Solargis (84/100), Vaisala (89/100), Meteomatics (81/100), Clean Power Research (SolarAnywhere) (80/100), DTN (91/100), Tomorrow.io (71/100) |
Moz Domain Authority 34/100 vs category average 38 / leader 92 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #1,775,888 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 "Created using global weather data to deliver high-resolution, bankable historical and accurate forecast data for the renewable energy industry. Globally validated. Free to try. Acc…" (Meta description: 37 words. 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: Webflow.
Social footprint: verified profiles on LinkedIn, X (Twitter), Facebook, Instagram, 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 Solcast?", Claude could identify the brand as of October 2026. Solcast is a solar irradiance data and forecasting company that provides satellite-derived solar resource data and live/forecast irradiance data used for solar PV performance monitoring, forecasting, and grid integration. It's widely used by solar asset managers, inverter manufac Best known for Satellite-based solar irradiance data and solar power forecasting APIs.
When asked "Best brands similar to Solcast?", Claude would recommend Solcast as of October 2026. It's a leading, widely-integrated provider of solar irradiance and forecasting data, commonly recommended for solar energy forecasting and resource assessment needs.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Solcast's main competitors in Energy & Utilities: Solargis (84/100), Vaisala (89/100), Meteomatics (81/100), Clean Power Research (SolarAnywhere) (80/100), DTN (91/100).
Sources: Brand Analyzer scan
Solcast offers solar and wind weather data products, including historical 'bankable' datasets for project feasibility and financial assessments, and forecast data for real-time renewable energy forecasting. These are accessed through its API Toolkit, which allows integration into third-party systems and platforms used by renewable energy companies.
Sources: Solcast official site
Solcast is a data and technology company that provides high-resolution solar, wind, and weather data and APIs for the renewable energy industry. It focuses on delivering bankable historical datasets and accurate forecasts that support solar and wind project planning, feasibility studies, and real-time operations.
Sources: Solcast official site
Solcast has limited AI-search visibility, scoring 27/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 22, recommendation 60). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Solcast official site
Solcast collects and processes global weather data to produce high-resolution, validated solar and wind resource data. It offers both historical 'bankable' datasets, used for financial and engineering assessments of renewable energy projects, and real-time or forecast data used for operational forecasting. This data is delivered through an API toolkit that allows companies to integrate it into their own systems within minutes.
Sources: Solcast official site
Solcast scores 60/100 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: Solcast official site
Solcast is known for providing globally validated, high-resolution solar and wind weather data and forecasts used widely across the renewable energy sector. It is recognized for its bankable historical datasets built on DNV best practice and for being trusted by over 600 companies for feasibility studies and forecasting.
Sources: Solcast official site
Solcast 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: Solcast official site
Solcast is used by renewable energy companies, solar and wind project developers, energy forecasters, and analysts who require reliable weather and resource assessment data. The company states it is trusted by over 600 companies globally, ranging from those conducting feasibility studies to those performing real-time energy forecasting.
Sources: Solcast official site
Solcast is used by many companies in the renewable energy industry because it provides high-resolution, globally validated solar and wind data built on DNV best practice. Its combination of bankable historical data and accurate forecasting, delivered via an accessible API toolkit, makes it useful for a wide range of applications from project feasibility to real-time forecasting.
Sources: Solcast official site
Solcast scores 27/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Solcast has a weak AI-visibility profile at 27/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (60/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,775,888 (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, a low Moz Domain Authority of 34/100 and thin schema.org structured data. In a live check, Claude could already identify Solcast from memory (October 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 Solcast: RE+ (81/100), SNF (81/100), Soletanche Freyssinet (81/100), Solmax (81/100).
A step up - brands to learn from: SUEZ (91/100), SLB (91/100).
Category leader: Electrek (96/100).
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