Top Odds, Top Entertainment
bet-at-home (bet-at-home.com) scores 79 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Sports & Fitness brands, Media & Entertainment brands, Technology brands, in the 62nd percentile of 5936 Sports & Fitness brands.
bet-at-home is a European online gambling and sports betting company founded in 1999 and headquartered in Düsseldorf. It offers online sports betting with competitive odds and live betting options on major sporting events. The platform targets sports enthusiasts and bettors seeking an engaging way to wager on their favorite teams, and promotes sign-up bonuses, such as a 200€ sports bonus, to attract new users.
| Brand Name | bet-at-home |
|---|---|
| Domain | bet-at-home.com |
| Industry | Sports & Fitness, Media & Entertainment |
| Founded | 1999 |
| Headquarters | Düsseldorf |
| Main Competitors | Bwin (85/100), Bet365 (83/100), Betway (81/100), William Hill (84/100), Unibet (83/100), 1xBet (82/100), Tipico (73/100) |
Moz Domain Authority 60/100 vs category average 44 / leader 93 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #149,566 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "Online sports bets for top sports events with top odds at bet-at-home. Register now, get a 200€ sports bonus and bet on your team!" (Meta description: 24 words (ideal length). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: Microdata (Schema.org), 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.
Detected tech stack: Express, Cloudflare, React.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram; no detected presence on 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 October 2026.
When asked "What is bet-at-home?", Claude could identify the brand as of October 2026. bet-at-home is an online sports betting and casino platform originally based in Austria, offering sports wagering, live betting, and casino games across European markets. It was previously listed on the Frankfurt Stock Exchange and has been a notable sponsor in sports like Formul Best known for Online sports betting and casino gaming, especially known for its sponsorship presence in motorsport and football.
When asked "Best brands similar to bet-at-home?", Claude would recommend bet-at-home as of October 2026. It's a recognizable European online betting brand, so it would reasonably come up alongside other established sports betting sites.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
bet-at-home's main competitors in Sports & Fitness: Bwin (85/100), Bet365 (83/100), Betway (81/100), William Hill (84/100), Unibet (83/100).
Sources: Brand Analyzer scan
bet-at-home has limited AI-search visibility, scoring 39/100 on Brand Analyzer's AI visibility composite (visibility 30, trust 38, recommendation 58). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: bet-at-home official site
bet-at-home was founded in 1999. bet-at-home operates in the Sports & Fitness category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
bet-at-home is headquartered in Düsseldorf. bet-at-home operates in the Sports & Fitness category.
Sources: Wikidata
bet-at-home offers online sports betting services, including pre-match and live betting on major sporting events across various sports, along with promotional bonuses for new registrants.
Sources: bet-at-home official site
bet-at-home scores 58/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Sports & Fitness options. Recommendation depends on crawlability, structured data, and category authority.
Sources: bet-at-home official site
bet-at-home is a European online gambling and sports betting company, founded in 1999 and headquartered in Düsseldorf. It operates an online platform where users can place bets on sports events.
Sources: bet-at-home official site
bet-at-home provides an online sports betting platform offering odds on major sporting events, including live betting options, allowing users to wager on their favorite teams and matches as they happen.
Sources: bet-at-home official site
bet-at-home 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: bet-at-home official site
bet-at-home is known for offering online sports betting with competitive odds and live betting on top sporting events, along with sign-up bonuses such as a 200€ sports bonus for new users.
Sources: bet-at-home official site
bet-at-home is used by sports enthusiasts and bettors who want to wager on their favorite teams and major sporting events through an online platform.
Sources: bet-at-home official site
bet-at-home scores 39/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
bet-at-home has a weak AI-visibility profile at 39/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (58/100) and its weakest is visibility (30/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #149,566 (Tranco) and a Moz Domain Authority of 60/100. 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, Claude could already identify bet-at-home from memory (October 2026) - a sign these signals are paying off.
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 bet-at-home: BERG (79/100), Be Relax (79/100), Beyond Clothing (79/100), BibRave (79/100).
A step up - brands to learn from: Zebco (81/100), Bash (81/100).
Category leader: Complex (97/100).
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