Social Insight: Discover What Customers Want

Every day, customers openly discuss frustrations, unmet needs, feature requests, alternatives, and workarounds across Reddit, X, LinkedIn, YouTube, forums, and review sites. Hidden within these conversations are valuable product insights, but finding them requires hours of manual research, causing many teams to miss the signals that could shape better products and business decisions. Social Insight helps product teams, founders, marketers, and GTM leaders uncover those insights in minutes. Social Insight uses Bright Data to gather relevant public conversations and AI to identify recurring pain points, feature requests, competitor mentions, sentiment trends, and product opportunities. Once the data is collected, Social Insight runs a deterministic evidence layer before calling the language model. It normalizes sources, extracts quote candidates, scores evidence based on source type and pain/request/comparison language, deduplicates overlapping results, and prioritizes direct user discussion over generic web snippets. This keeps the OpenAI synthesis step anchored to concrete evidence instead of asking the model to infer from raw search results alone. A typical report answers questions like: - What are users repeatedly frustrated by? - Which feature requests show up across public conversations? - What workarounds are people using because existing products do not solve the problem cleanly? - Which competitors are being mentioned, and in what context? - What objections or trust gaps might slow adoption? Whether researching a competitor, validating a new idea, understanding a market, or deciding what to build next, Social Insight transforms public conversations into actionable product intelligence.