365日分の花言葉を集めたサイト
Hanakotoba-labo (hanakotoba-labo.com) scores 57 out of 100 on Brand Analyzer, placing it in the Developing tier among Media & Entertainment brands, Education brands, Other brands, in the 5th percentile of 39201 Media & Entertainment brands.
Hanakotoba-labo (hanakotoba-labo.com) is a Japanese informational website that compiles birth flowers (誕生花) and their associated flower meanings (花言葉) by date, covering months from September through August with plans to eventually cover all 365 days. Each entry includes the flower's Western and Japanese names alongside its symbolic meaning. The site targets users interested in flower symbolism, gift-giving, anniversaries, and plant culture, presenting itself as a specialized reference resource rather than a commercial retailer.
| Brand Name | Hanakotoba-labo |
|---|---|
| Domain | hanakotoba-labo.com |
| Industry | Media & Entertainment, Education |
| Main Competitors | Hanakotoba.com, i-hana.com, Interflora, Hitohana, Florist |
Moz Domain Authority 32/100 vs category average 50 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
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 "9月、10月、11月、12月、1月、2月、3月、4月、5月、6月、7月、8月の花言葉と花の洋名・和名をあつめました。365日分集める予定です。" (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: og:title, og:description, og:image, og:type, Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - 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 Hanakotoba-labo?", Claude could not identify the brand as of November 2026. I don't genuinely recognize Hanakotoba-labo as a specific company, likely because it's a small or niche site (possibly related to 'hanakotoba,' the Japanese language of flowers) with limited web presence or visibility in my training data.
When asked "Best brands similar to Hanakotoba-labo?", Claude would not surface Hanakotoba-labo as of November 2026. I can't recommend it confidently since I don't have verified information about what it actually offers or how it compares to others in the space.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Hanakotoba-labo has low AI-search visibility, scoring 13/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 22, recommendation 27). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Hanakotoba-labo official site
Hanakotoba-labo scores 27/100 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.
Sources: Hanakotoba-labo official site
Hanakotoba-labo offers informational content rather than physical products: a date-indexed database of birth flowers, their Western and Japanese names, and their associated flower meanings (花言葉). The site also includes supplementary trivia and cultural background information about flowers to enrich the reader's understanding.
Sources: Hanakotoba-labo official site
Hanakotoba-labo is a Japanese website dedicated to cataloging birth flowers (誕生花) and their flower meanings (花言葉) on a day-by-day basis, along with each flower's Western and Japanese names. It functions as a specialized reference resource rather than a retail or commercial service, aiming to eventually document all 365 days of the year.
Sources: Hanakotoba-labo official site
The site compiles and presents information about birth flowers and their associated meanings for specific calendar dates, currently covering September through August. For each date, it lists the flower's name in both Western (romanized/English) and Japanese forms, along with the symbolic meaning attributed to it, sometimes accompanied by trivia or cultural background about the flower.
Sources: Hanakotoba-labo official site
Hanakotoba-labo 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: Hanakotoba-labo official site
Hanakotoba-labo is known for its systematic, date-by-date compilation of birth flowers and their meanings (花言葉), aiming for comprehensive coverage of all 365 days of the year. It is recognized as a niche reference tool for those seeking to understand the symbolic meaning of flowers tied to specific dates.
Sources: Hanakotoba-labo official site
The site is used by people interested in flower meanings and birth flowers, including those looking to find meaningful gifts or messages for birthdays and anniversaries, as well as general users curious about flower and plant culture in Japan.
Sources: Hanakotoba-labo official site
Hanakotoba-labo scores 13/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Hanakotoba-labo has a weak AI-visibility profile at 13/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (27/100) and its weakest is visibility (0/100). It benefits from 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 a low Moz Domain Authority of 32/100. In a live check (November 2026), Claude could not identify Hanakotoba-labo 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.
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.