Мир старых добрых игр
Old-Games.RU (old-games.ru) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Media & Entertainment brands, Technology brands, in the 34th percentile of 10519 Media & Entertainment brands.
Old-Games.RU is a Russian-language website dedicated to classic computer games, founded in 2001 and based in Russia. It provides an extensive, continuously updated archive of old games available for download, accompanied by descriptions, screenshots, and translations. The site positions itself as the largest Russian-language archive of retro computer games, aiming to preserve and make accessible the heritage of classic gaming for new generations of players. Its target audience includes retro-gaming enthusiasts, collectors, and nostalgic gamers seeking classic titles.
| Brand Name | Old-Games.RU |
|---|---|
| Domain | old-games.ru |
| Industry | Media & Entertainment, Technology |
| Founded | 2001 |
| Headquarters | Russia |
| Main Competitors | GOG.com (87/100), MyAbandonware (85/100), Abandonia, Home of the Underdogs, DOS Games Archive (77/100), MobyGames |
Moz Domain Authority 51/100 vs category average 54 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #124,891 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 "Old-Games.RU - сайт любителей старых игр. Сотни игр доступных для скачивания, с описанием и скриншотами." (Meta description: 15 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.
Content is RU-only, limiting citation in English-language AI answers.
Detected tech stack: Nginx.
Social footprint: verified profiles on YouTube, X (Twitter), LinkedIn, Instagram, 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 September 2026.
When asked "What is Old-Games.RU?", Claude could identify the brand as of September 2026. Old-Games.RU is a long-running Russian website and community devoted to retro and abandonware PC games, offering reviews, articles, downloads, and an active forum for fans of classic gaming. Best known for being one of the largest Russian-language archives and communities for abandonware and retro PC games.
When asked "Best brands similar to Old-Games.RU?", Claude would recommend Old-Games.RU as of September 2026. It's a well-known destination for Russian-speaking retro gaming enthusiasts looking for old titles, reviews, and community discussion.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Old-Games.RU's main competitors in Media & Entertainment: GOG.com (87/100), MyAbandonware (85/100), DOS Games Archive (77/100).
Sources: Brand Analyzer scan
Old-Games.RU offers an archive of classic computer games for download, along with accompanying descriptions, screenshots, and in some cases translations of the games into Russian.
Sources: Old-Games.RU official site
Old-Games.RU is a Russian-language website founded in 2001 that serves as an archive for classic computer games. It is dedicated to preserving and providing access to old computer games for enthusiasts of retro gaming, positioning itself as the largest Russian-language archive of its kind.
Sources: Old-Games.RU official site
Old-Games.RU has limited AI-search visibility, scoring 32/100 on Brand Analyzer's AI visibility composite (visibility 20, trust 33, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Old-Games.RU official site
Old-Games.RU was founded in 2001. Old-Games.RU operates in the Media & Entertainment category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Old-Games.RU is headquartered in Russia. Old-Games.RU operates in the Media & Entertainment category.
Sources: Wikidata
Old-Games.RU maintains a continuously growing archive of classic computer games available for download. Each game entry typically includes a description, screenshots, and sometimes translations, allowing users to learn about and access old titles in one centralized location.
Sources: Old-Games.RU official site
Old-Games.RU scores 53/100 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: Old-Games.RU official site
Old-Games.RU is known for being a large, continuously updated Russian-language archive of classic computer games, offering downloads accompanied by descriptions, screenshots, and translations, making it a go-to resource for retro-gaming enthusiasts.
Sources: Old-Games.RU official site
Old-Games.RU 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: Old-Games.RU official site
Old-Games.RU is used by fans of old computer games, retro-game collectors, and nostalgic gamers who are looking to download, learn about, or revisit classic titles.
Sources: Old-Games.RU official site
Old-Games.RU is popular among retro-gaming enthusiasts because it offers a large, centralized, and continuously updated collection of classic computer games with descriptions, screenshots, and translations that are difficult to find together anywhere else, particularly in the Russian language.
Sources: Old-Games.RU official site
Old-Games.RU scores 32/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Old-Games.RU has a weak AI-visibility profile at 32/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (53/100) and its weakest is visibility (20/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #124,891 (Tranco) and a Moz Domain Authority of 51/100. 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 Old-Games.RU 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 Old-Games.RU: Old Blood Noise Endeavors (74/100), Oficiul de Știri (74/100), Old Town School of Folk Music (74/100), OMORI (74/100).
A step up - brands to learn from: Zoom (81/100), Zeno Group (81/100).
Category leader: Complex (97/100).
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