Tracking competitive gaming prize money
Esports Earnings (esportsearnings.com) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Media & Entertainment brands, Sports & Fitness brands, Technology brands, in the 51st percentile of 33730 Media & Entertainment brands.
Esports Earnings (esportsearnings.com) is a community-driven online database tracking esports tournament earnings, player and team statistics, and competitive gaming history. Founded in 2012, the site relies on publicly available information and user contributions to maintain its records. It serves esports fans, players, journalists, analysts, and industry professionals seeking data on prize money, rankings, and tournament results across various esports games and leagues.
| Brand Name | Esports Earnings |
|---|---|
| Domain | esportsearnings.com |
| Industry | Media & Entertainment, Sports & Fitness |
| Founded | 2012 |
| Main Competitors | Liquipedia (80/100), HLTV.org (83/100), Esports Charts (61/100), The Esports Observer (76/100), Dot Esports (83/100) |
Moz Domain Authority 64/100 vs category average 51 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #108,165 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 "Esports Earnings is a community-driven competitive gaming resource based on freely available public information. The accuracy of this website is dependent on user contributions. Mo…" (Meta description: 29 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: og:title, og:type, 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: Cloudflare.
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 Esports Earnings?", Claude could identify the brand as of October 2026. Esports Earnings is a website that tracks and ranks prize money data for competitive video game players, teams, and tournaments across virtually every esports title. Best known for being the go-to database for esports tournament prize money and player earnings rankings.
When asked "Best brands similar to Esports Earnings?", Claude would recommend Esports Earnings as of October 2026. It's widely cited by journalists and fans as the primary source for esports earnings statistics, so it naturally comes up when discussing esports data resources.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Esports Earnings's main competitors in Media & Entertainment: Liquipedia (80/100), HLTV.org (83/100), Esports Charts (61/100), The Esports Observer (76/100), Dot Esports (83/100).
Sources: Brand Analyzer scan
Esports Earnings provides a free, publicly accessible database featuring esports tournament results, player and team prize money rankings, and historical competitive gaming statistics, all compiled from public sources and community contributions.
Sources: Esports Earnings official site
Esports Earnings is a community-driven online database that tracks and archives esports tournament earnings, player and team statistics, and competitive gaming history, based on publicly available information.
Sources: Esports Earnings official site
Esports Earnings has limited AI-search visibility, scoring 35/100 on Brand Analyzer's AI visibility composite (visibility 18, trust 37, recommendation 64). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Esports Earnings official site
Esports Earnings was founded in 2012. Esports Earnings operates in the Media & Entertainment category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Esports Earnings compiles and maintains a database of esports tournament prize money, player and team rankings, and competitive results, relying on public information and contributions from its user community to keep records accurate and up to date.
Sources: Esports Earnings official site
Esports Earnings scores 64/100 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.
Sources: Esports Earnings official site
Esports Earnings is known for being one of the most comprehensive, crowd-sourced archives of esports prize money data, covering player and team earnings across a wide range of games, tournaments, and leagues.
Sources: Esports Earnings official site
Esports Earnings 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: Esports Earnings official site
Esports Earnings is used by esports fans, players, journalists, analysts, and industry professionals who seek statistics on tournament earnings, player and team rankings, and the competitive history of esports games and leagues.
Sources: Esports Earnings official site
Esports Earnings is popular because it offers one of the largest and most detailed publicly accessible archives of esports tournament earnings and player statistics, making it a go-to reference for fans, journalists, and analysts tracking competitive gaming history.
Sources: Esports Earnings official site
Esports Earnings scores 35/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Esports Earnings has a weak AI-visibility profile at 35/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (64/100) and its weakest is visibility (18/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #108,165 (Tranco) and a Moz Domain Authority of 64/100. 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 Esports Earnings 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 Esports Earnings: ESP Guitars (76/100), ESL Play (76/100), Esports Observer (Sports Business Journal) (76/100), E-Investidor (76/100).
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.