Choose this week's topic

On Monday morning, the operator for Holiday Inn Tongren Wanshan needs to plan the week's Xiaohongshu content. Account analytics, competitor profiles, destination searches, and trending posts are open in separate pages. After two hours, she still cannot answer the central question: should the account keep promoting the hotel, or respond to interest in summer escapes and weekend trips in Guizhou?

Likes alone cannot answer that question. The hotel wants nearby-city weekend travelers and already has mountain-view rooms, self-drive routes, and attraction material. A viable topic needs demand and enough real assets to support the story.

She gives T-Agent the account, weekly goal, and available material:

@Xiaohongshu Operations
I manage Xiaohongshu for Holiday Inn Tongren Wanshan.
Review the account's posts from the last 30 days and current Xiaohongshu content
about Tongren, summer travel in Guizhou, and weekend trips.
Our goal is to attract nearby-city weekend travelers. Available assets include
mountain-view rooms, self-drive routes, and nearby attractions.
Recommend two priority topics and explain the evidence.

After authorization, T-Agent reads recent account data in the signed-in Xiaohongshu session and searches local, destination, and comparable accommodation content. It compares views, saves, comments, publication time, and follower change at the post level. Search samples include a collection time so a temporary trend is not treated as a permanent conclusion.

The first recommendation is a two-day, one-night fast-paced trip to Tongren Wanshan with a mountain-view stay. Route-based posts have historically earned more saves, related trip-guide supply is not excessively crowded, and the hotel has enough material to explain the route, stay, and cost.

The report states what to make first, why, and which assets are still missing. Once the operator confirms the topic, the work moves to keyword research.