Scan Tokens, Avoid Rug Pulls
RugCheck (rugcheck.xyz) 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, RugCheck 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 88/100, Digital Presence 85/100, Visual Identity 93/100, Messaging Clarity 95/100, Trust Foundation 68/100, AI Discoverability 74/100, Brand Authority 24/100.
RugCheck (rugcheck.xyz) is a risk analysis tool for tokens on the Solana and Fogo blockchains. It scans for scam signals, holder concentration, liquidity risks, insider activity, and token metadata, providing instant reports intended to help cryptocurrency traders and investors assess token legitimacy and avoid scams or rug pulls before investing.
| Brand Name | RugCheck |
|---|---|
| Domain | rugcheck.xyz |
| Industry | Finance, Technology |
| Main Competitors | TokenSniffer (60/100), RugDoc (71/100), Bubblemaps (74/100), GoPlus Security (72/100), Birdeye (77/100), DEXTools (69/100) |
Moz Domain Authority 24/100 vs category average 31 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #241,589 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 "Scan Solana and Fogo tokens for scam signals, holder concentration, liquidity risks, insider activity, and token metadata." (Meta description: 17 words (ideal length). 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, 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: Nginx, Vue.
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.
RugCheck scores 24/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
RugCheck has a weak AI-visibility profile at 24/100 - 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 (5/100). It benefits from a global traffic rank of #241,589 (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 24/100. In a live check, Claude could already identify RugCheck 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 RugCheck?", Claude could identify the brand as of July 2026. RugCheck is a crypto due-diligence tool that lets users check Solana (and some other chain) tokens for red flags like liquidity locks, mint authority, holder concentration, and known scam patterns, essentially trying to flag potential 'rug pulls' before people invest. Best known for Scanning Solana tokens for rug-pull risk indicators like liquidity and holder distribution.
When asked "Best brands similar to RugCheck?", Claude would recommend RugCheck as of July 2026. It's a commonly cited tool in the Solana/crypto community for quick token safety checks, so it's a reasonable suggestion for someone wanting to vet new tokens.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
RugCheck's main competitors include TokenSniffer (60/100), RugDoc (71/100), Bubblemaps, GoPlus Security (72/100), Birdeye. These companies compete in the Finance space for similar customers, offering comparable products or services.
Sources: Brand Analyzer scan
RugCheck and GoPlus Security are competitors in Finance. Brand Analyzer scores RugCheck at 71/100 and GoPlus Security at 72/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Brand Analyzer scan
Popular alternatives to RugCheck include TokenSniffer (60/100), RugDoc (71/100), Bubblemaps, GoPlus Security (72/100), Birdeye. 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
RugCheck offers a token risk-scanning service for Solana and Fogo blockchain tokens. Its core service includes analysis of holder concentration, liquidity risk, insider activity, and token metadata, delivered as risk reports intended to help users identify scam signals and rug-pull risks before making investment decisions.
Sources: RugCheck official site
RugCheck is a token risk analysis platform focused on the Solana and Fogo blockchain ecosystems. It scans tokens for scam signals and hidden risks, such as holder concentration, liquidity issues, insider activity, and token metadata anomalies, to help users evaluate whether a token may be fraudulent or risky before investing.
Sources: RugCheck official site
RugCheck has low AI-search visibility, scoring 24/100 on Brand Analyzer's AI visibility composite (visibility 5, trust 29, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: RugCheck official site
RugCheck scans Solana and Fogo tokens to detect scam signals and risk factors. It analyzes holder concentration to identify if a small number of wallets control most of the supply, checks liquidity risks to see how easily a token can be traded without major price impact, monitors insider activity for suspicious wallet behavior, and reviews token metadata for inconsistencies or red flags. It then presents this analysis to users in a report format to support investment decisions.
Sources: RugCheck official site
RugCheck scores 53/100 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: RugCheck official site
RugCheck is known for providing instant, detailed risk scans of tokens on the Solana and Fogo blockchains, specifically targeting scam detection through holder concentration analysis, liquidity risk assessment, insider activity monitoring, and token metadata review. It is positioned as a go-to scanner for identifying potential rug pulls and scam tokens within these ecosystems.
Sources: RugCheck official site
RugCheck 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: RugCheck official site
RugCheck is used by cryptocurrency traders, investors, and enthusiasts who are active in the Solana and Fogo blockchain ecosystems. These users typically seek to verify the legitimacy of tokens and identify potential scams or rug pulls before committing funds to a trade or investment.
Sources: RugCheck official site
Ranked closest to RugCheck: Risk Placement Services (71/100), RMR Group (71/100), RugDoc (71/100), Ryan Specialty (71/100).
A step up - brands to learn from: State Street Investment Management (81/100), Sapiens (81/100).
Category leader: Mastercard (96/100).