Il Primo Quotidiano del Gioco Pubblico
JAMMA (jamma.tv) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Media & Entertainment brands, Government brands, Other brands, in the 56th percentile of 33264 Media & Entertainment brands.
JAMMA (jamma.tv) is an Italian trade publication and B2B information platform dedicated to the regulated public gaming sector. It describes itself as the first daily news outlet focused on public gaming, offering news, events, and commercial B2B content for operators. Its target audience includes gaming hall managers, betting shops, bingo operators, tobacconists, regulators, and policymakers in Italy. The site aims to keep stakeholders informed about industry developments and regulatory changes.
| Brand Name | JAMMA |
|---|---|
| Domain | jamma.tv |
| Industry | Media & Entertainment, Government |
| Main Competitors | Agimeg (82/100), GiocoNews (75/100), Agipronews (77/100), Gambling Insider (82/100), iGaming Business (82/100) |
Moz Domain Authority 37/100 vs category average 51 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
JAMMA appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Il primo quotidiano di notizie, eventi, novità sul gioco pubblico e informazione commerciale B2B rivolta agli operatori del settore dei giochi regolamentati." (Meta description: 22 words (ideal length). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), + Microdata, og:title, og:description, og:image, og:type, Twitter cards, 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 IT-only, limiting citation in English-language AI answers.
Detected tech stack: Cloudflare, WordPress, Ghost.
Social footprint: verified profiles on Instagram, LinkedIn, X (Twitter), YouTube, 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 JAMMA?", Claude could not identify the brand as of October 2026. I don't genuinely recognize JAMMA (jamma.tv) as a specific company, possibly because it's a newer or niche media/entertainment platform without substantial presence in my training data.
When asked "Best brands similar to JAMMA?", Claude would not surface JAMMA as of October 2026. I can't recommend a company I don't have verified knowledge of, since doing so risks giving inaccurate information.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
JAMMA's main competitors in Media & Entertainment: Agimeg (82/100), GiocoNews (75/100), Agipronews (77/100), Gambling Insider (82/100), iGaming Business (82/100).
Sources: Brand Analyzer scan
JAMMA has limited AI-search visibility, scoring 37/100 on Brand Analyzer's AI visibility composite (visibility 33, trust 32, recommendation 51). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: JAMMA official site
JAMMA scores 51/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably 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: JAMMA official site
JAMMA is an Italian daily news and B2B information platform dedicated to the regulated public gaming sector, covering news, events, and commercial content for industry operators.
Sources: JAMMA official site
JAMMA provides daily news, regulatory updates, and B2B commercial information for operators and stakeholders in Italy's regulated public gaming industry, including betting, gaming halls, bingo, and tobacconist-based gaming points.
Sources: JAMMA official site
JAMMA 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: JAMMA official site
JAMMA offers daily news articles, event coverage, regulatory updates, and B2B commercial content tailored to operators in Italy's regulated gaming industry, including gaming halls, betting, bingo, and tobacconist-based gaming services.
Sources: JAMMA official site
JAMMA is used by operators, companies, and professionals in Italy's regulated public gaming sector, including managers of gaming halls, betting shops, bingo venues, and tobacconists, as well as regulatory bodies and policymakers.
Sources: JAMMA official site
JAMMA is known for being the first daily publication entirely dedicated to Italy's regulated public gaming sector, combining journalistic content with B2B commercial information for industry operators.
Sources: JAMMA official site
JAMMA scores 37/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
JAMMA has a weak AI-visibility profile at 37/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (51/100) and its weakest is trust (32/100). 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, a low Moz Domain Authority of 37/100 and thin schema.org structured data. In a live check (October 2026), Claude could not identify JAMMA 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 JAMMA: Jacqueline Woodson (77/100), Jack Canfield (77/100), Japan Expo Paris (77/100), japan-guide.com (77/100).
A step up - brands to learn from: Zoom (81/100), Znews (81/100).
Category leader: Change.org (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.