Open-source Deep Research

Searching Xiaohongshu from your AI Agent

Bring Xiaohongshu consumer and creator signals into cited agent research briefs.

Consumer language from real posts

Xiaohongshu can reveal how users describe products, routines, complaints, and purchase triggers. AutoSearch lets agents collect cited posts and compare the language with other market or social sources.

Chinese market context included

For consumer products, Chinese community context may matter as much as English social data. AutoSearch includes Xiaohongshu with WeChat, Zhihu, Twitter, YouTube, Reddit, and other sources for broader research.

Works in repeatable agent loops

An agent can ask AutoSearch to scan Xiaohongshu for a category, competitor, or user pain point. The cited output can feed positioning research, creator briefs, product discovery, or regional trend monitoring.

How it fits

AutoSearch connects Xiaohongshu to agent workflows that need Chinese consumer insight. The agent sends a research prompt, AutoSearch gathers cited posts and related sources, then the agent groups themes, language, objections, and opportunities. It works best as one source among several, especially for marketing, consumer product research, and competitive intelligence focused on China or cross-border categories.

Try this prompt

Search Xiaohongshu for how users discuss AI note-taking apps.
Group cited posts by use case, complaint, buying trigger, and competitor mention.