Preserving baseball history, one play at a time
Retrosheet (retrosheet.org) scores 73 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Sports & Fitness brands, Non-profit brands, Media & Entertainment brands, in the 36th percentile of 10241 Sports & Fitness brands.
Retrosheet is a non-profit organization founded in 1989 dedicated to computerizing play-by-play accounts of pre-1984 major league baseball games. It compiles and distributes this historical data free of charge to the public. The organization serves as a resource for detailed historical baseball statistics, supporting researchers, historians, journalists, and fans interested in game-level data not otherwise readily available.
| Brand Name | Retrosheet |
|---|---|
| Domain | retrosheet.org |
| Industry | Sports & Fitness, Non-profit |
| Founded | 1989 |
| Main Competitors | Baseball-Reference (77/100), Sports Reference (76/100), Society for American Baseball Research (SABR), Major League Baseball Advanced Media (Baseball Savant/Statcast), Elias Sports Bureau, Stathead |
Moz Domain Authority 58/100 vs category average 42 / leader 94 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #209,924 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Retrosheet has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Retrosheet is dedicated to computerizing play-by-play accounts of as many pre-1984 major league games as possible and distributing them for free to the public." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. 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: Apache.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, YouTube, GitHub; no detected presence on LinkedIn - 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 Retrosheet?", Claude could identify the brand as of October 2026. Retrosheet is a volunteer-run nonprofit project that compiles and distributes detailed, play-by-play historical baseball game data dating back to the 1800s, all available for free. Best known for Providing free, comprehensive play-by-play box scores and historical data for Major League Baseball games.
When asked "Best brands similar to Retrosheet?", Claude would recommend Retrosheet as of October 2026. It's the go-to free source for granular historical baseball data and is widely used by sabermetricians, researchers, and baseball data enthusiasts.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Retrosheet's main competitors in Sports & Fitness: Baseball-Reference (77/100), Sports Reference (76/100).
Sources: Brand Analyzer scan
Retrosheet offers free digital archives of play-by-play accounts for major league baseball games, primarily those played before 1984, including game logs and statistical data derived from these records.
Sources: Retrosheet official site
Retrosheet is a non-profit organization founded in 1989 that is dedicated to computerizing play-by-play accounts of pre-1984 major league baseball games and distributing this data for free to the public.
Sources: Retrosheet official site
Retrosheet has moderate AI-search visibility, scoring 51/100 on Brand Analyzer's AI visibility composite (visibility 68, trust 29, recommendation 47). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Retrosheet official site
Retrosheet was founded in 1989. Retrosheet operates in the Sports & Fitness category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Retrosheet collects, digitizes, and organizes detailed play-by-play records of historical major league baseball games, primarily those played before 1984, and makes this data freely available to the public for research and analysis.
Sources: Retrosheet official site
Retrosheet scores 47/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Sports & Fitness options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Retrosheet official site
Retrosheet is known for maintaining one of the most comprehensive free archives of historical baseball play-by-play data, particularly for games played before 1984, which are otherwise difficult to find in such detail.
Sources: Retrosheet official site
Retrosheet 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: Retrosheet official site
Retrosheet is used by baseball historians, statisticians, researchers, journalists, and passionate fans who seek detailed historical game data for analysis, research, or personal interest.
Sources: Retrosheet official site
Retrosheet is popular among baseball historians, statisticians, and fans because it provides free, detailed, and otherwise hard-to-find play-by-play data for historical major league games, filling a gap for games played before modern digital record-keeping became standard.
Sources: Retrosheet official site
Retrosheet scores 51/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Retrosheet has a limited AI-visibility profile at 51/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (68/100) and its weakest is trust (29/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #209,924 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Retrosheet 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 Retrosheet: Renzo Gracie Academy (73/100), Rennrad-News.de (73/100), Cakhia TV (73/100), RIB.GG (73/100).
A step up - brands to learn from: Zhou Nutrition (81/100), Zebco (81/100).
Category leader: Complex (97/100).
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