演劇研究者をつなぐ学術団体
Jstr (jstr.org) scores 60 out of 100 on Brand Analyzer, placing it in the Developing tier among Education brands, Media & Entertainment brands, Non-profit brands, in the 7th percentile of 29450 Education brands.
Jstr is a nonprofit liberal advocacy group. It was founded in 2007. It is headquartered in Washington, D.C.. あらゆる演劇分野の研究者が集い、演劇研究の発展と交流を促進すること。.
| Brand Name | Jstr |
|---|---|
| Domain | jstr.org |
| Industry | Education, Media & Entertainment |
| Founded | 2007 |
| Headquarters | Washington, D.C. |
| CEO | Jeremy Ben-Ami |
| Main Competitors | American Society for Theatre Research (76/100) |
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 "日本演劇学会は、50年以上の歴史を持つ演劇研究者の学術団体です。" (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. 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.
Social footprint: verified profiles on X (Twitter), LinkedIn, 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 November 2026.
When asked "What is Jstr?", Claude could not identify the brand as of November 2026. I don't recognize a company called Jstr at jstr.org, which may be confused with JSTOR (jstor.org), the well known academic journal archive, but this appears to be a distinct and likely small or niche entity I have no reliable information on.
When asked "Best brands similar to Jstr?", Claude would not surface Jstr as of November 2026. I can't vouch for or describe a company I don't have verified information about, so I wouldn't bring it up.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Jstr has low AI-search visibility, scoring 21/100 on Brand Analyzer's AI visibility composite (visibility 25, trust 4, recommendation 33). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Jstr official site
Jstr was founded in 2007. Jstr operates in the Education category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Jstr is headquartered in Washington, D.C.. Jstr operates in the Education category.
Sources: Wikidata
Jstr scores 33/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Jstr official site
Jstr 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: Jstr official site
Jstr scores 21/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Jstr has a weak AI-visibility profile at 21/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (33/100) and its weakest is trust (4/100). It benefits from a Wikidata knowledge-graph entry 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, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check (November 2026), Claude could not identify Jstr 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 Jstr: Jigsaw Academy (now part of UNext) (60/100), Japanese Wiki Corpus (60/100), Jungle Training (60/100), Los Angeles Maritime Museum (60/100).
A step up - brands to learn from: 作业帮 (Zuoyebang) (71/100), Zentralwohlfahrtsstelle der Juden in Deutschland e.V. (71/100).
Category leader: Canva (97/100).
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