Local Weather Forecast, News and Conditions
Weather Underground (wunderground.com) earns a Brand Analyzer score of 87 out of 100, placing it in the Strong Brand tier among Technology brands, Media & Entertainment brands. Among 9683 Technology brands analyzed, Weather Underground ranks in the 97th percentile (category average 69, leader 97). 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. Dimension scores: Name Quality 80/100, Digital Presence 100/100, Visual Identity 93/100, Messaging Clarity 100/100, Trust Foundation 77/100, AI Discoverability 56/100, Brand Authority 80/100.
Weather Underground is a weather service that provides local and long-range forecasts, weather reports, maps, and tropical weather conditions for locations worldwide. Its mission states a responsibility to use data and technology for good. It positions itself as the trusted source for accurate, hyper-local weather data and forecasts globally. The service targets individuals and organizations seeking detailed, location-specific weather information. It is categorized under Technology and Media & Entertainment and was founded in 1969.
| Brand Name | Weather Underground |
|---|---|
| Domain | wunderground.com |
| Industry | Technology, Media & Entertainment |
| Founded | 1969 |
| Main Competitors | AccuWeather (89/100), The Weather Channel (93/100), National Weather Service, WeatherBug, Foreca |
Moz Domain Authority 86/100 vs category average 29 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #2,119 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
Weather Underground has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Weather Underground provides local & long-range weather forecasts, weather reports, maps & tropical weather conditions for locations worldwide" (Meta description: 18 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: Microdata (Schema.org), 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.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram, GitHub; no detected presence on Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Weather Underground scores 67/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Weather Underground has a moderate AI-visibility profile at 67/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (80/100) and its weakest is trust (45/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #2,119 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Weather Underground offers local and long-range weather forecasts, weather reports, maps, and tropical weather conditions for locations worldwide. Its value proposition states it provides these services globally.
Sources: Weather Underground official site
Weather Underground is a weather service founded in 1969 that provides local and long-range forecasts, weather reports, maps, and tropical weather conditions for locations worldwide. It is categorized under Technology and Media & Entertainment and positions itself as the trusted source for accurate, hyper-local weather data and forecasts globally.
Sources: Weather Underground official site
Weather Underground provides local and long-range weather forecasts, weather reports, maps, and tropical weather conditions for locations worldwide. Its mission states a responsibility to use data and technology for good, and it targets individuals and organizations seeking detailed, location-specific weather information.
Sources: Weather Underground official site
Weather Underground's main competitors include AccuWeather (89/100), The Weather Channel (93/100), National Weather Service, WeatherBug, Foreca. These companies compete in the Technology space for similar customers, offering comparable products or services.
Sources: Weather Underground official site
Weather Underground and The Weather Channel are competitors in Technology. Brand Analyzer scores Weather Underground at 87/100 and The Weather Channel at 93/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Weather Underground official site
Weather Underground is known for providing local and long-range weather forecasts, weather reports, maps, and tropical weather conditions for locations worldwide, along with its positioning as the trusted source for accurate, hyper-local weather data and forecasts globally.
Sources: Weather Underground official site
Popular alternatives to Weather Underground include AccuWeather (89/100), The Weather Channel (93/100), National Weather Service, WeatherBug, Foreca. Each is an established option in the Technology space; the best fit depends on your specific needs, budget, and required features.
Sources: Weather Underground official site
Weather Underground targets individuals and organizations seeking detailed, location-specific weather forecasts and reports globally.
Sources: Weather Underground official site
Weather Underground has moderate AI-search visibility, scoring 67/100 on Brand Analyzer's AI visibility composite (visibility 80, trust 45, recommendation 70). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Weather Underground official site
Weather Underground was founded in 1969. Weather Underground operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Weather Underground scores 70/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Weather Underground official site
Weather Underground 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: Weather Underground official site
Ranked closest to Weather Underground: Wipro (87/100), WeChat (87/100), ZoomInfo (87/100), 1und1 (86/100).
A step up - brands to learn from: Workday (91/100), Usercentrics (91/100).
Category leader: Accenture (97/100).