Open-source Deep Research

Open-source Deep Research for Marketing

Turn customer discussions, competitor signals, and platform trends into cited research briefs.

Audience signals across channels

Marketing research depends on where people actually talk. AutoSearch can collect signals from Reddit, Hacker News, YouTube, Twitter, Chinese platforms, and blogs, giving teams a broader view of objections, language, and demand themes.

Cited briefs reduce handwaving

Campaign ideas are easier to challenge when every claim points back to a source. AutoSearch returns citations for trends, complaints, competitor mentions, and community language, helping marketers separate evidence from internal preference.

Useful for global positioning

Products with Chinese users or competitors need more than English social listening. AutoSearch includes WeChat, Zhihu, Xiaohongshu, and other Chinese sources, helping marketing teams compare regional narratives before positioning decisions.

How it fits

AutoSearch sits before strategy and content production as an MCP-native research source for agents. A marketer can ask an agent to scan communities, competitor mentions, product discussions, and Chinese platforms. AutoSearch returns cited findings that the agent can turn into messaging themes, campaign hypotheses, or sales enablement notes. It does not replace customer interviews or analytics, but it gives those workflows a stronger evidence base.

Try this prompt

Research how developers describe pain around MCP setup.
Pull cited language from Reddit, Hacker News, GitHub, YouTube, and Chinese sources.