ウェザーニュース (Weathernews) Brand Score: 76/100 - Brand-Ready tier

予報精度No.1の天気情報

ウェザーニュース (Weathernews) (weathernews.jp) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Media & Entertainment brands, Technology brands, Government brands, in the 54th percentile of 39201 Media & Entertainment brands.

AI Snapshot

ウェザーニュース (Weathernews) is a Commercial weather service company based in Chiba, Japan.. It was founded in 1986. It is headquartered in Makuhari Techno Garden. 最新かつ精度の高い気象・防災情報を提供し、人々の暮らしと安全を天気の面からサポートする。.

Key facts about ウェザーニュース (Weathernews)

Brand Name	ウェザーニュース (Weathernews)
Domain	weathernews.jp
Industry	Media & Entertainment, Technology
Founded	1986
Headquarters	Makuhari Techno Garden
Main Competitors	日本気象協会 (tenki.jp) (77/100), Yahoo!天気, AccuWeather (93/100), The Weather Company (Weather.com) (90/100), ウェザーマップ

Evidence

Ranked #1,356 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.

ウェザーニュース (Weathernews) appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.

The homepage meta description reads "【天気予報精度No.1】最新の気象情報ならウェザーニュース！雨雲レーダーや台風、地震、注意報・警報、アメダス、天気図など気象や防災に役立つ情報、気象予報士解説のお天気ニュースを随時更新中。天気痛や熱中症、花粉の生活情報に加え、桜や紅葉、スキーの季節情報など天気に関する全てをサポートします。" (Meta description too short (1 words). OG description present but brief) - this is the summary AI engines are most likely to quote.

Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.

AI-crawler access: robots.txt mentions GPTBot, ClaudeBot, Google-Extended, PerplexityBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.

Content is JA-only, limiting citation in English-language AI answers.

Social footprint: verified profiles on YouTube, Facebook, X (Twitter), Instagram, GitHub; no detected presence on LinkedIn - consistent profiles reinforce the brand's identity across the web.

0 Reddit mentions - community discussion signals real-world reputation to AI models.

Does AI know ウェザーニュース (Weathernews)?

Live results from asking a general-purpose AI assistant about the brand, checked November 2026.

When asked "What is ウェザーニュース (Weathernews)?", Claude could identify the brand as of November 2026. Weathernews is a Japanese private weather forecasting and information company that provides highly localized, often hyper-detailed forecasts to consumers, businesses, shipping companies, and broadcasters via its website, apps, and SOLiVE24 satellite channel. It's known for crowds Best known for Japan's largest private weather company, known for hyper-local forecasts and citizen-reported weather data.

When asked "Best brands similar to ウェザーニュース (Weathernews)?", Claude would recommend ウェザーニュース (Weathernews) as of November 2026. It's the dominant and most recognizable private weather service in Japan, so it would naturally come up when discussing weather media or forecasting companies in that market.

People Also Ask About ウェザーニュース (Weathernews)

Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.

Who are ウェザーニュース (Weathernews)'s main competitors?

ウェザーニュース (Weathernews)'s main competitors in Media & Entertainment: 日本気象協会 (tenki.jp) (77/100), AccuWeather (93/100), The Weather Company (Weather.com) (90/100).

Sources: Brand Analyzer scan

How visible is ウェザーニュース (Weathernews) in AI search?

ウェザーニュース (Weathernews) has limited AI-search visibility, scoring 44/100 on Brand Analyzer's AI visibility composite (visibility 56, trust 21, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.

Sources: ウェザーニュース (Weathernews) official site

When was ウェザーニュース (Weathernews) founded?

ウェザーニュース (Weathernews) was founded in 1986. ウェザーニュース (Weathernews) operates in the Media & Entertainment category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.

Sources: Wikidata

Where is ウェザーニュース (Weathernews) headquartered?

ウェザーニュース (Weathernews) is headquartered in Makuhari Techno Garden. ウェザーニュース (Weathernews) operates in the Media & Entertainment category.

Sources: Wikidata

What products or services does ウェザーニュース (Weathernews) offer?

雨雲レーダー、台風情報、地震情報、注意報・警報、アメダスデータ、天気図などの気象・防災情報サービスに加え、気象予報士による解説記事、天気痛・熱中症・花粉症などの生活情報、桜・紅葉・スキーシーズンなどの季節情報を提供している。

Sources: ウェザーニュース (Weathernews) official site

Does ChatGPT recommend ウェザーニュース (Weathernews)?

ウェザーニュース (Weathernews) scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.

Sources: ウェザーニュース (Weathernews) official site

What is ウェザーニュース (Weathernews)?

ウェザーニュース（Weathernews）は、千葉県幕張に本社を置く日本の商業気象情報会社である。1986年に設立され、気象予報や防災情報をリアルタイムで提供するサービスを展開している。

Sources: ウェザーニュース (Weathernews) official site

What does ウェザーニュース (Weathernews) do?

同社は、雨雲レーダー、台風、地震、注意報・警報、アメダス、天気図などの気象データをリアルタイムで提供し、気象予報士による解説記事やニュースを発信している。また、天気痛、熱中症、花粉症などの生活情報や、桜・紅葉・スキーといった季節情報も扱い、気象・防災に関する総合的な情報サービスを提供している。

Sources: ウェザーニュース (Weathernews) official site

How can ウェザーニュース (Weathernews) improve its AI discoverability?

ウェザーニュース (Weathernews) 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: ウェザーニュース (Weathernews) official site

What is ウェザーニュース (Weathernews) known for?

「天気予報精度No.1」を掲げる点や、雨雲レーダー、台風・地震などの災害関連情報をリアルタイムで提供する点、気象予報士による詳細な解説が特徴として知られている。

Sources: ウェザーニュース (Weathernews) official site

Who uses ウェザーニュース (Weathernews)?

日常的に天気予報や防災情報を必要とする一般生活者、台風や地震などの災害情報を重視する人々、そして花粉症や熱中症、紅葉といった季節の生活情報に関心を持つ幅広い年齢層のユーザーが利用している。

Sources: ウェザーニュース (Weathernews) official site

Recommendations

• Improve meta descriptions for AI - Write clear, concise meta and Open Graph descriptions that answer 'what does this company do?' in 10-30 words. AI systems rely heavily on these to summarize your brand. (impact: high, effort: quick_win)
• Add a sitemap.xml - Create and publish a sitemap.xml file to help both search engines and AI crawlers discover all your important pages. (impact: medium, effort: quick_win)
• Boost search engine authority - Your Moz Domain Authority indicates limited search ranking potential. Improve it by building high-quality backlinks, optimizing on-page SEO, and publishing authoritative content. (impact: medium, effort: major)
• Build a content ecosystem - Add a blog, documentation, or help center to your website. A rich content ecosystem signals brand maturity and authority. (impact: medium, effort: major)
• Strengthen your typography - Consider using 2-3 distinct fonts (heading, body, and optionally an accent font) loaded via a professional font service for consistent cross-platform rendering. (impact: low, effort: quick_win)

AI visibility

ウェザーニュース (Weathernews) scores 44/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

ウェザーニュース (Weathernews) has a limited AI-visibility profile at 44/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (56/100) and its weakest is trust (21/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,356 (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 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify ウェザーニュース (Weathernews) from memory (November 2026) - a sign these signals are paying off.

Visibility - 56/100

• Wikipedia presence - 18/40
• Wikidata entity - 23/25
• Web popularity (Tranco) - 15/20
• Reddit visibility - 0/15

Trust - 21/100

• Domain Authority - 0/30
• Backlink trust (spam score) - 0/10
• Schema.org structured data - 17/25
• Knowledge graph anchors (sameAs) - 0/15
• llms.txt convention - 0/10
• Reddit sentiment (heuristic) - 4/10

Recommendation likelihood - 48/100

• robots.txt AI bot permissions - 30/30
• Sitemap.xml presence - 0/10
• Help center / Docs hub - 0/15
• FAQ presence - 3/15
• Category-relative authority - 8/20
• Category leader signals - 7/10

Score breakdown - 7 dimensions

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.

• Name Quality - 90/100
• Digital Presence - 100/100
• Visual Identity - 90/100
• Messaging Clarity - 75/100
• Trust Foundation - 93/100
• AI Discoverability - 65/100
• Brand Authority - 32/100

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