Lock, Vest, and Launch Your Tokens
Team Finance (team.finance) scores 78 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Finance brands, Technology brands, SaaS brands, in the 60th percentile of 15182 Finance brands.
Team Finance (team.finance) is a non-custodial platform for locking and managing cryptocurrency and liquidity provider (LP) tokens. It provides time-released vaults for token locking, vesting, and tracking across more than 20 blockchains, including Ethereum, BSC, Base, Solana, and Robinhood Chain. The platform also supports audited token creation. It is designed for crypto projects and blockchain startups seeking secure, automated tools to manage token supply, liquidity, and vesting schedules without relying on a custodial third party.
| Brand Name | Team Finance |
|---|---|
| Domain | team.finance |
| Industry | Finance, Technology |
| Founded | 1980 |
| Main Competitors | Unicrypt (76/100), PinkSale (74/100), DxSale, TrustSwap (75/100), Mudra (77/100) |
Moz Domain Authority 31/100 vs category average 39 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #1,056,529 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Team Finance appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Lock any coin & LP tokens in a non-custodial, time-released vault. Live on Robinhood Chain, Ethereum, BSC, Base, Solana and 20+ more blockchains." (Meta description: 23 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), Organization schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding 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: Next.js, Cloudflare.
Social footprint: verified profiles on X (Twitter), YouTube, Facebook, Instagram, 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 Team Finance?", Claude could not identify the brand as of October 2026. I don't recognize "Team Finance" at team.finance as a specific company, likely because it's a small or niche crypto/DeFi project without enough presence in my training data.
When asked "Best brands similar to Team Finance?", Claude would not surface Team Finance as of October 2026. I can't recommend a company I don't have verified knowledge of, so I'd avoid mentioning it to prevent giving inaccurate information.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Team Finance's main competitors in Finance: Unicrypt (76/100), PinkSale (74/100), TrustSwap (75/100), Mudra (77/100).
Sources: Brand Analyzer scan
Team Finance has limited AI-search visibility, scoring 39/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 36, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Team Finance official site
Team Finance was founded in 1980. Team Finance operates in the Finance category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Team Finance scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Finance options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Team Finance official site
Team Finance 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: Team Finance official site
Team Finance offers non-custodial, time-released vaults for locking coins and LP tokens, vesting contracts for team and investor token schedules, tools for tracking locked and vested tokens, staking functionality, and a feature for creating fully-audited tokens quickly. These services are available across Ethereum, BSC, Base, Solana, Robinhood Chain, and over 20 other blockchains.
Sources: Team Finance official site
Team Finance is a non-custodial blockchain platform that provides time-released vaults for locking cryptocurrency and liquidity provider (LP) tokens. It operates across more than 20 blockchain networks, including Ethereum, BSC, Base, Solana, and Robinhood Chain, and also offers tools for token creation, vesting, and tracking.
Sources: Team Finance official site
Team Finance enables crypto projects to lock coins and LP tokens in non-custodial, time-released vaults, create fully-audited tokens, and manage vesting schedules across multiple blockchains. It is used to secure token supply and liquidity, track token allocations, and automate vesting and staking processes for blockchain-based projects.
Sources: Team Finance official site
Team Finance scores 39/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Team Finance has a weak AI-visibility profile at 39/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (35/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,056,529 (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 31/100 and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify Team Finance from memory, confirming the gaps above.
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 Team Finance: TCA (78/100), TaxSlayer (78/100), Technijian (78/100), Telkom (78/100).
A step up - brands to learn from: Zurich Italia (81/100), Zurich Insurance Group (81/100).
Category leader: Stripe (97/100).
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