Brandlight provides an enterprise AI visibility platform that aggregates real‑time signals from AI search, commerce and conversational agents, normalizing citation, sentiment and source‑impact data into attribution dashboards linked to business metrics. The solution includes competitive intelligence, content optimization, technical health scanning, and publisher performance analytics, with API integration and SOC 2‑Type II security for marketing teams.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise brands struggle to track and influence how their content appears in emerging AI-driven search and recommendation engines. The lack of unified attribution and competitive intelligence across fragmented AI signals makes it difficult to link AI discovery to revenue outcomes.
Solution
Brandlight delivers an enterprise‑grade AI visibility platform that aggregates real‑time signals from all major AI search, commerce and agent ecosystems. It normalizes citation, sentiment and source‑impact data to produce actionable attribution dashboards that tie AI mentions directly to business metrics. The platform also surfaces competitive positioning, content gaps, technical crawl health and publisher performance, enabling marketers to prioritize optimizations and allocate budget with confidence. Integrated APIs and SOC 2‑Type II compliance allow seamless connection to existing Martech stacks and secure data pipelines.
Target Audience
Primary customers are enterprise marketing organizations—CMOs, brand managers and SEO/AI teams—plus global agencies that manage AI visibility for Fortune 500 brands.
Features
- Engine‑agnostic visibility engine that continuously monitors brand mentions, sentiment and citation sources across all AI search and conversational agents.
- Query intent and citation analysis that maps which data sources AI models use to validate brand expertise.
- Competitive intelligence module delivering real‑time win/loss mapping and revenue impact modeling.
- Content optimization suite that audits structure, tone, metadata and recommends high‑impact topics to improve AI trust signals.
- Technical health scanner that tracks AI crawler frequency, indexability, and identifies access barriers via server‑log analytics.
- Publisher performance dashboard quantifying third‑party content influence and ROI‑driven partnership investment recommendations.
- Centralized command center with multi‑regional, multilingual support and RESTful API for integration with CDPs, DMPs and BI tools.
- Enterprise security features including role‑based access, end‑to‑end encryption and audit logging for compliance reporting.