Software for competitive radio contesting
Win-Test (win-test.com) scores 68 out of 100 on Brand Analyzer, placing it in the Developing tier among Technology brands, Other brands, in the 19th percentile of 52996 Technology brands.
Win-Test is a software tool designed for amateur radio operators, specifically contesters, to log and manage participation in competitive radio contests. It provides specialized functionality for tracking contacts, scoring, and contest rules compliance. The software is positioned as a feature-rich, reliable solution trusted within the ham radio contesting community, supported by documentation and dedicated user support.
| Brand Name | Win-Test |
|---|---|
| Domain | win-test.com |
| Industry | Technology, Other |
| Main Competitors | N1MM Logger+, DXLog.net (68/100), WriteLog (69/100), SD (Contest Logging Software) (61/100) |
Moz Domain Authority 34/100 vs category average 39 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #2,058,104 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 "To provide amateur radio operators with powerful, reliable software for logging and managing radio contests." (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: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is FR-only, limiting citation in English-language AI answers.
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 Win-Test?", Claude could identify the brand as of October 2026. Win-Test is a contest logging software for amateur radio operators, widely used to log and manage QSOs during radio contests with support for multi-operator and networked setups. Best known for Being a leading contest logging program favored by competitive ham radio contesters, especially in Europe.
When asked "Best brands similar to Win-Test?", Claude would recommend Win-Test as of October 2026. It's one of the most established and trusted logging tools in the ham radio contesting community, so I'd mention it alongside alternatives like N1MM Logger.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Win-Test's main competitors in Technology: DXLog.net (68/100), WriteLog (69/100), SD (Contest Logging Software) (61/100).
Sources: Brand Analyzer scan
Win-Test has low AI-search visibility, scoring 13/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 12, recommendation 36). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Win-Test official site
Win-Test scores 36/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Win-Test official site
Win-Test is a specialized software application designed for amateur radio operators to log and manage their participation in radio contests. It is built specifically for the needs of competitive contesters, offering tools to record contacts, track scoring, and manage contest-specific rules and requirements.
Sources: Win-Test official site
Win-Test provides logging and management functionality for amateur radio contests. It allows operators to record contacts made during a contest, track scores, and manage the various rules and formats associated with different competitive radio events. The software is designed to support the specific workflow needs of contesters during live competition.
Sources: Win-Test official site
Win-Test 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: Win-Test official site
Win-Test offers contest logging software for amateur radio operators. This includes tools for recording and managing radio contacts made during contests, tracking scores, and handling contest-specific rules and formats. The software is supported by documentation and dedicated customer support resources.
Sources: Win-Test official site
Win-Test is used by amateur radio operators, particularly those who participate in competitive radio contests, known as contesters. These users rely on the software for its specialized logging capabilities during contest operations, where accurate and efficient contact recording and scoring are essential.
Sources: Win-Test official site
Win-Test is known for being a feature-rich, specialized contest logging tool favored by serious and competitive amateur radio operators. It has built a reputation within the ham radio contesting community for robust functionality tailored to the demands of radio contests, along with dedicated documentation and support resources.
Sources: Win-Test official site
Win-Test scores 13/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Win-Test has a weak AI-visibility profile at 13/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (36/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #2,058,104 (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 34/100. In a live check, Claude could already identify Win-Test 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 Win-Test: Winsen Electronics (68/100), WIN Reality (68/100), wirtuo (68/100), WIŚNIOWSKI (68/100).
A step up - brands to learn from: Zypp Electric (71/100), 作业帮 (Zuoyebang) (71/100).
Category leader: Hostinger (97/100).
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