Splits is a financial infrastructure platform that provides audited, open-source, and dependency-free smart contracts for onchain teams. It enables organizations to efficiently manage treasuries, revenue streams, and expense distribution across multiple EVM chains.
Provides secure, battle-tested, and fee-free financial infrastructure that allows teams to automate complex payout flows and treasury management without dependencies.
AI Visibility Score
Splits has an AI visibility score of 0/100, rated as invisible. This score reflects how often and how prominently Splits appears in responses from AI assistants like ChatGPT, Claude, and Gemini.
AI Perception Summary
Splits holds a dominant position within DAO operations and waterfall payout discussions, consistently appearing in the top three results across AI Overviews, Claude, and Gemini. While the brand successfully anchors its identity to complex financial automation, it currently lacks visibility in core infrastructure and developer workflow queries, leaving significant market share to foundational competitors like OpenZeppelin and Gnosis Safe.
Strengths
- High-authority placement in Claude and AI Overviews for DAO treasury and revenue distribution queries
- Strong relevance for the DAO Operations Lead persona
- Competitive positioning in complex waterfall payout structure scenarios
Visibility Gaps
- Total absence in core developer workflow and infrastructure security queries
- Poor visibility with the Budget-Conscious Startup Founder persona, often relegated to lower search rankings
- Failure to capture interest in smart contract scripting and financial tool evaluation
Competitors in AI Recommendations
- Gnosis Safe: 24 mentions
- OpenZeppelin: 20 mentions
- Safe: 16 mentions
- Aragon: 11 mentions
- Fireblocks: 10 mentions
- Hardhat: 10 mentions
- Sablier: 8 mentions
- Superfluid: 7 mentions
- TRES Finance: 7 mentions
- Foundry: 7 mentions
- Coordinape: 6 mentions
- Eco Routes SDK: 6 mentions
- Chainlink: 6 mentions
- Snapshot: 6 mentions
- Request Finance: 5 mentions
Categories: Financial Technology