Figure Skating Scores and Stats
SkatingScores (skatingscores.com) scores 70 out of 100 on Brand Analyzer, placing it in the Developing tier among Sports & Fitness brands, Media & Entertainment brands, in the 21st percentile of 7065 Sports & Fitness brands.
SkatingScores (skatingscores.com) is an online resource dedicated to figure skating results, scores, rankings, and statistics. It provides an extensive database of competition results and elements, paired with advanced query tools for in-depth statistical analysis. The site positions itself as a comprehensive destination for accurate figure skating data, aimed at fans, analysts, journalists, and enthusiasts seeking detailed insights beyond typical sports coverage.
| Brand Name | SkatingScores |
|---|---|
| Domain | skatingscores.com |
| Industry | Sports & Fitness, Media & Entertainment |
| Main Competitors | International Skating Union (80/100), Golden Skate (80/100), Figure Skating Universe, IceNetwork, Rockerskating |
Moz Domain Authority 38/100 vs category average 44 / leader 94 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #274,395 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 "Latest Figure Skating Results, Scores, Recaps, Rankings, Standings, Statistics" (Meta description: 9 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ChatGPT-User, ClaudeBot, Google-Extended, PerplexityBot - all allowed - 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), Instagram, YouTube, GitHub; no detected presence on LinkedIn, 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 October 2026.
When asked "What is SkatingScores?", Claude could identify the brand as of October 2026. SkatingScores.com is a website that aggregates figure skating competition results, scores, and protocols, letting fans look up judges' scores and rankings from events like the Olympics, World Championships, and other ISU competitions. Best known for Providing detailed figure skating competition results and judges' score breakdowns.
When asked "Best brands similar to SkatingScores?", Claude would recommend SkatingScores as of October 2026. It's a useful niche resource for figure skating fans wanting detailed scoring data, so I'd mention it if someone asked about figure skating stats sites.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
SkatingScores's main competitors in Sports & Fitness: International Skating Union (80/100), Golden Skate (80/100).
Sources: Brand Analyzer scan
SkatingScores offers a database of figure skating competition results, scores, rankings, and standings. It also provides statistical data on skating elements and advanced database query tools that allow users to search and analyze figure skating data in detail.
Sources: SkatingScores official site
SkatingScores is a website dedicated to figure skating results, scores, rankings, and statistics. It functions as a specialized sports data resource, offering a database of competition outcomes and elements for the figure skating community.
Sources: SkatingScores official site
SkatingScores has low AI-search visibility, scoring 18/100 on Brand Analyzer's AI visibility composite (visibility 5, trust 22, recommendation 35). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: SkatingScores official site
SkatingScores compiles and presents figure skating competition results, scores, rankings, and statistics. It maintains a detailed database of skating elements and results, and provides advanced database query tools that allow users to perform in-depth statistical analysis of figure skating data.
Sources: SkatingScores official site
SkatingScores scores 35/100 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.
Sources: SkatingScores official site
SkatingScores is known for its extensive and precise database of figure skating competition results and elements, as well as its advanced query tools that enable detailed statistical analysis not commonly found on other figure skating websites.
Sources: SkatingScores official site
SkatingScores 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: SkatingScores official site
SkatingScores is used by figure skating fans, analysts, journalists, and enthusiasts who seek detailed competition results, rankings, and statistical insights into the sport.
Sources: SkatingScores official site
SkatingScores scores 18/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
SkatingScores has a weak AI-visibility profile at 18/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (35/100) and its weakest is visibility (5/100). It benefits from a global traffic rank of #274,395 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). 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 38/100. In a live check, Claude could already identify SkatingScores 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 SkatingScores: Sitsongpeenong Muaythai Camp (70/100), ShotQuality (70/100), Skeeter (70/100), Lookout Pass Ski and Snowboard Resort (70/100).
A step up - brands to learn from: Your School Games (71/100), Yellow Dog Software (71/100).
Category leader: Complex (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.