Outsmart the sportsbook every day
BetQL (betql.co) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Sports & Fitness brands, Media & Entertainment brands, Technology brands, in the 49th percentile of 3110 Sports & Fitness brands.
BetQL (betql.co) is an American sports betting media platform and radio network that provides data-driven betting predictions, real-time line movement tracking, and expert picks. It targets sports bettors and fans following NFL, NCAAF, MLB, NHL, NBA, and NCAAB, aiming to give users a statistical edge over sportsbooks through proprietary computer models and expert analysis.
| Brand Name | BetQL |
|---|---|
| Domain | betql.co |
| Industry | Sports & Fitness, Media & Entertainment |
| Main Competitors | Action Network (83/100), Covers (91/100), OddsShark (82/100), Pickswise (79/100), VSiN (87/100), RotoGrinders (85/100), Sports Insights (Bet Labs) (79/100) |
Moz Domain Authority 31/100 vs category average 45 / leader 94 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #517,637 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 "Outsmart the Sportsbook everyday. Proven computer model betting predictions make sports betting easy. Get the best bets today with real-time betting line movement and expert tips." (Meta description: 26 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, og:title, og:description, og:type, Twitter cards. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Next.js, Vercel.
Social footprint: verified profiles on X (Twitter), Facebook, LinkedIn, 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 September 2026.
When asked "What is BetQL?", Claude could identify the brand as of September 2026. BetQL is a sports betting analytics platform, created by the Chalk Media Group (in partnership with Action Network/Better Collective), that gives bettors data-driven tools like betting trends, odds comparisons, and predictive models to help inform wagers. Best known for Its data-driven betting analytics app and website offering odds comparison, trends, and picks for sports bettors.
When asked "Best brands similar to BetQL?", Claude would recommend BetQL as of September 2026. It's a well-known name in the sports betting analytics space, often mentioned alongside Action Network as a tool for data-focused bettors.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
BetQL's main competitors in Sports & Fitness: Action Network (83/100), Covers (91/100), OddsShark (82/100), Pickswise (79/100), VSiN (87/100).
Sources: Brand Analyzer scan
BetQL has limited AI-search visibility, scoring 40/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 58, recommendation 61). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: BetQL official site
BetQL scores 61/100 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: BetQL official site
BetQL offers computer model-generated betting predictions, real-time betting line movement tracking, and expert picks and tips covering the NFL, NCAAF, MLB, NHL, NBA, and NCAAB. It also operates a sports betting radio network providing related content.
Sources: BetQL official site
BetQL is an American sports betting platform and radio network that provides computer model-based betting predictions, real-time line movement data, and expert picks for major sports leagues including the NFL, NCAAF, MLB, NHL, NBA, and NCAAB.
Sources: BetQL official site
BetQL 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: BetQL official site
BetQL generates sports betting predictions using proprietary computer models, tracks real-time betting line movement, and publishes expert picks and analysis to help bettors identify value against sportsbook odds. It also operates a sports betting radio network delivering related commentary and insights.
Sources: BetQL official site
BetQL is known for its data-driven, computer model-based betting predictions and its real-time tracking of betting line movement across major sports, as well as its associated sports betting radio network.
Sources: BetQL official site
BetQL is used by sports bettors and fans seeking data-backed insights, betting trends, and expert picks across major sports leagues such as the NFL, NCAAF, MLB, NHL, NBA, and NCAAB.
Sources: BetQL official site
BetQL scores 40/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
BetQL has a limited AI-visibility profile at 40/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (61/100) and its weakest is visibility (17/100). It benefits from a global traffic rank of #517,637 (Tranco), open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. 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 31/100. In a live check, Claude could already identify BetQL from memory (September 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 BetQL: BetOnline (77/100), BetExplorer (77/100), Betr (77/100), Bike-Discount (77/100).
A step up - brands to learn from: Bash (81/100), Yogamatters (81/100).
Category leader: Complex (97/100).
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