Check the risks, seize the opportunities
RugDoc (rugdoc.io) earns a Brand Analyzer score of 71 out of 100, placing it in the Brand-Ready tier among Finance brands, Technology brands. Among 2760 Finance brands analyzed, RugDoc ranks in the 60th percentile (category average 69, leader 96). 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. Dimension scores: Name Quality 100/100, Digital Presence 82/100, Visual Identity 98/100, Messaging Clarity 95/100, Trust Foundation 64/100, AI Discoverability 84/100, Brand Authority 18/100.
RugDoc is a DeFi safety and education platform that helps crypto investors identify trusted and safe new crypto projects. It evaluates crypto presales by examining team transparency, tokenomics, and security practices, aiming to help investors focus on opportunities rather than risks. RugDoc positions itself as a community-driven resource within the crypto space, providing risk assessments and ratings for new token projects before investors commit funds.
| Brand Name | RugDoc |
|---|---|
| Domain | rugdoc.io |
| Industry | Finance, Technology |
| Main Competitors | CertiK (90/100), TokenSniffer (60/100), DEXTools (69/100), Honeypot.is (76/100), De.Fi (79/100), Solidproof |
Moz Domain Authority 29/100 vs category average 31 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
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 "See which new crypto projects look trusted and safe. We check the risks so you can focus on the opportunities." (Meta description: 20 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Breadcrumb/Website schema, + Microdata, og:title, og:description, og:type, Twitter cards, 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, WordPress, Ghost.
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.
RugDoc scores 25/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
RugDoc has a weak AI-visibility profile at 25/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (56/100) and its weakest is visibility (0/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. 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 29/100. In a live check, Claude could already identify RugDoc from memory (July 2026) - a sign these signals are paying off.
Live results from asking a general-purpose AI assistant about the brand, checked July 2026.
When asked "What is RugDoc?", Claude could identify the brand as of July 2026. RugDoc is a DeFi safety and review platform that vets new yield farms and crypto projects, publishing risk assessments and 'rug pull' warnings to help investors avoid scams. It became prominent during the 2020-2021 DeFi boom as a community-driven watchdog for yield farming protoc Best known for Reviewing and rating DeFi yield farms to warn users about potential rug pulls and scam risks.
When asked "Best brands similar to RugDoc?", Claude would recommend RugDoc as of July 2026. It's a well-known name in the DeFi safety and due-diligence space, so it's worth mentioning to anyone researching how to vet crypto projects.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
RugDoc's main competitors include CertiK, TokenSniffer, DEXTools (69/100), Honeypot.is (72/100), De.Fi (79/100). These companies compete in the Finance space for similar customers, offering comparable products or services.
Sources: Brand Analyzer scan
RugDoc and De.Fi are competitors in Finance. Brand Analyzer scores RugDoc at 71/100 and De.Fi at 79/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Brand Analyzer scan
Popular alternatives to RugDoc include CertiK, TokenSniffer, DEXTools (69/100), Honeypot.is (72/100), De.Fi (79/100). Each is an established option in the Finance space; the best fit depends on your specific needs, budget, and required features.
Sources: Brand Analyzer scan
RugDoc has limited AI-search visibility, scoring 25/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 35, recommendation 56). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: RugDoc official site
RugDoc scores 56/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Finance options. Recommendation depends on crawlability, structured data, and category authority.
Sources: RugDoc official site
RugDoc is a DeFi safety and education community that helps crypto investors identify trusted and safe new crypto projects. It focuses on researching and rating the risks associated with new token presales and DeFi projects, positioning itself as a resource for vetting opportunities before investors commit funds.
Sources: RugDoc official site
RugDoc evaluates new crypto projects and presales by examining team transparency, tokenomics, and security practices. It researches and rates the risks of these projects, providing investors with information intended to help them identify safer opportunities in the DeFi space before committing funds.
Sources: RugDoc official site
RugDoc 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: RugDoc official site
RugDoc offers risk assessment and rating services for new crypto projects and token presales. Its evaluations cover team transparency, tokenomics analysis, and security checks, providing investors with information to help them decide which new DeFi projects may be safer to invest in.
Sources: RugDoc official site
RugDoc is known for vetting and rating new crypto projects and presales, particularly by assessing team transparency, tokenomics, and security risks. It has built a reputation within the DeFi community as a resource for identifying potentially risky or fraudulent projects, often referred to informally as 'rug pulls,' before investors commit funds.
Sources: RugDoc official site
RugDoc is used by crypto investors and enthusiasts who are evaluating new token presales and DeFi projects and want vetted information about the risks and safety of these opportunities before committing funds.
Sources: RugDoc official site
Ranked closest to RugDoc: RugCheck (71/100), Risk Placement Services (71/100), Ryan Specialty (71/100), Rynoh (71/100).
A step up - brands to learn from: State Street Investment Management (81/100), Sapiens (81/100).
Category leader: Mastercard (96/100).