Web3's Universal Transaction Layer
Particle Network (particle.network) scores 75 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, Finance brands, SaaS brands, in the 45th percentile of 22013 Technology brands.
Particle Network is a Web3 infrastructure company that provides a universal transaction layer designed to simplify blockchain interactions for developers and users. Its platform offers account abstraction, gasless transactions, and social logins, enabling chain-agnostic functionality across applications such as stablecoins, tokenized stocks, prediction markets, trading platforms, perpetuals, and onchain payments. The company targets Web3 developers and application builders who want to reduce blockchain complexity and streamline user onboarding and cross-chain transactions.
| Brand Name | Particle Network |
|---|---|
| Domain | particle.network |
| Industry | Technology, Finance |
| Main Competitors | Privy (82/100), Web3Auth (78/100), Dynamic (86/100), Biconomy, ZeroDev (76/100), Magic Labs (80/100) |
Moz Domain Authority 33/100 vs category average 39 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #255,116 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Particle Network appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "The Web3’s Universal Transaction Layer for Stablecoins, Tokenized Stocks, Prediction Markets, Trading Platforms, Perps, Onchain Payments and Your App." (Meta description: 19 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:description, Twitter cards. 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.
Detected tech stack: Vercel.
Social footprint: verified profiles on X (Twitter), GitHub, LinkedIn, Facebook, Instagram, YouTube - 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 August 2026.
When asked "What is Particle Network?", Claude could identify the brand as of August 2026. Particle Network is a Web3 infrastructure company known for its Wallet-as-a-Service (WaaS) platform, which uses MPC (multi-party computation) technology to enable social logins and account abstraction for blockchain wallets, making crypto onboarding easier for mainstream users. Best known for Its MPC-based smart wallet infrastructure that lets apps offer social login (email, Google, etc.) for Web3 wallets without seed phrases.
When asked "Best brands similar to Particle Network?", Claude would recommend Particle Network as of August 2026. It's a recognized player in the wallet infrastructure and account abstraction space, often mentioned alongside Web3Auth and Privy when discussing wallet-as-a-service solutions.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Particle Network's main competitors in Technology: Privy (82/100), Web3Auth (78/100), Dynamic (86/100), ZeroDev (76/100), Magic Labs (80/100).
Sources: Brand Analyzer scan
Particle Network has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 36, trust 22, recommendation 33). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Particle Network official site
Particle Network scores 33/100 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; a Wikipedia presence helps.
Sources: Particle Network official site
Particle Network 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: Particle Network official site
Particle Network scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Particle Network has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (36/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #255,116 (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, a low Moz Domain Authority of 33/100 and thin schema.org structured data. In a live check, Claude could already identify Particle Network from memory (August 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 Particle Network: Particle Health (75/100), Park Road Post Production (75/100), Patlytics (75/100), Patronus AI (75/100).
A step up - brands to learn from: Zuppler (81/100), Zuper (81/100).
Category leader: Hostinger (97/100).
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