高性能×環境対応コーティング
Cmp (cmp.co.jp) scores 69 out of 100 on Brand Analyzer, placing it in the Developing tier among Manufacturing brands, Technology brands, Energy & Utilities brands, in the 21st percentile of 28954 Manufacturing brands.
Cmp (cmp.co.jp) refers to a paint manufacturing company, most closely identified in the provided data with Chugoku Marine Paints, a Japanese coatings producer. The company specializes in marine paints for ocean-going and coastal vessels, and also serves fishing operators, pleasure boat owners, and construction/infrastructure firms. Its stated mission emphasizes technological innovation and global expansion to support a sustainable future, positioning it as a comprehensive coatings maker spanning marine and land-based infrastructure applications.
| Brand Name | Cmp |
|---|---|
| Domain | cmp.co.jp |
| Industry | Manufacturing, Technology |
| Headquarters | Dallas |
| Main Competitors | Jotun (85/100), Hempel (84/100), AkzoNobel (International Paint) (87/100), PPG Industries (80/100), Nippon Paint Marine (74/100), KCC Corporation |
Moz Domain Authority 38/100 vs category average 36 / leader 94 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,455,329 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Cmp appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "中国塗料は、技術革新とグローバル展開を通じて持続可能な未来を描く塗料メーカーです。船舶用塗料を中心としたコーティング技術で、環境対応と社会インフラの発展に貢献しています。" (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: Microdata (Schema.org), 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.
Content is JA-only, limiting citation in English-language AI answers.
Detected tech stack: PHP, Apache.
Social footprint: verified profiles on LinkedIn, Instagram, YouTube, X (Twitter), GitHub; no detected presence on Facebook - 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 Cmp?", Claude could not identify the brand as of October 2026. I don't genuinely recognize this specific company, likely because "Cmp" is a generic name shared by many businesses and this particular Japanese manufacturing firm (cmp.co.jp) has limited presence in my training data.
When asked "Best brands similar to Cmp?", Claude would not surface Cmp as of October 2026. I can't verify what Cmp specializes in or how it compares to competitors, so I wouldn't want to recommend it without accurate information.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Cmp's main competitors in Manufacturing: Jotun (85/100), Hempel (84/100), AkzoNobel (International Paint) (87/100), PPG Industries (80/100), Nippon Paint Marine (74/100).
Sources: Brand Analyzer scan
Cmp has limited AI-search visibility, scoring 38/100 on Brand Analyzer's AI visibility composite (visibility 39, trust 23, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Cmp official site
Cmp is headquartered in Dallas. Cmp operates in the Manufacturing category.
Sources: Wikidata
Cmp scores 53/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Manufacturing options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Cmp official site
Cmp 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: Cmp official site
Cmp scores 38/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Cmp has a weak AI-visibility profile at 38/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (53/100) and its weakest is trust (23/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,455,329 (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 38/100 and thin schema.org structured data. In a live check (October 2026), Claude could not identify Cmp 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 Cmp: CMI Orchards (69/100), Clover (クロバー株式会社) (69/100), Centrisys/CNP (69/100), Cochrane Supply (69/100).
A step up - brands to learn from: Ed. Züblin AG (71/100), Zoko Machinery Co., Limited (71/100).
Category leader: DHL (97/100).
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