Limy offers a platform that continuously monitors brand citations across major large language model APIs and multilingual contexts, providing real‑time dashboards that map AI‑generated recommendations to downstream revenue. The service includes prompt‑analytics, automated optimization recommendations, and integrations with e‑commerce and CRM systems to attribute sales to specific AI interactions.
Funding
Funding not disclosed
Founders
Product
Problem
Brands that rely on AI agents and large language model (LLM) ecosystems struggle to achieve consistent visibility and to quantify how often those agents recommend their products or services. Because AI‑mediated search results are not tracked like traditional web traffic, companies cannot reliably attribute revenue to AI‑driven consumer journeys. This lack of measurable conversion hampers strategic planning and ROI assessment.
Solution
Limy delivers an operational platform that inserts a visibility and conversion layer directly into AI search and LLM workflows. The service continuously monitors brand citations across multiple LLM providers, languages, and market segments, providing real‑time dashboards that map recommendation frequency to downstream revenue. It generates actionable optimization recommendations—step‑by‑step prompts and content tweaks—to improve how often agents surface the brand and how favorably they rank it. Integrated prompt‑analytics evaluate sentiment, relevance, and compliance, feeding the insights back into the brand’s content strategy. By attributing sales outcomes to specific AI interactions, Limy enables marketers and product teams to close the loop between AI exposure and financial performance.
Target Audience
The primary customers are brand marketers, product managers, and growth teams at B2B SaaS, e‑commerce, and consumer‑facing companies that depend on AI agents to surface their offerings in automated search and recommendation flows.
Features
- Cross‑LLM monitoring engine that tracks brand mentions in real time across major LLM APIs (e.g., OpenAI, Anthropic, Cohere) and multilingual contexts
- Prompt‑analytics suite that scores sentiment, relevance, and compliance for each AI‑generated recommendation
- Automated optimization workflow that delivers prioritized, data‑driven prompt adjustments and content recommendations
- Revenue attribution model that maps AI citation events to downstream transactions via API‑based e‑commerce and CRM integrations
- Interactive analytics dashboard with KPI visualizations for visibility, conversion rate, and incremental revenue lift
- RESTful API and SDKs for seamless embedding of visibility data into existing BI, marketing automation, and reporting tools
- Role‑based access control and end‑to‑end encryption to meet enterprise security and privacy standards