Xiaohongshu Marketing: Algorithm Core Features
Dive deep into the world of Xiaohongshu SEO with our expert-guided strategies. Discover how to leverage keywords, optimize content, and navigate the platform's algorithm to maximize your visibility and engagement.
Keywords are not just for adding tags! Understand the traffic password of Xiaohongshu. Is the understanding of Xiaohongshu keywords still about # topic tags? OctoPlus takes you deep into understanding Xiaohongshu’s traffic algorithm and the keyword selection strategy based on algorithm logic.
Not only can it provide direction for optimizing note content, but it can also better understand the operational logic of Xiaohongshu accounts.
In this strategy, we have organized the following key points for you:
💡 Xiaohongshu traffic algorithm logic and core features
💡 Keyword selection strategy for Xiaohongshu notes
💡 Distribution mechanism of Xiaohongshu streaming algorithm
💡 Key points of keyword selection
Now, let’s take a look at the highlights below 👀 Xiaohongshu’s algorithm is somewhat similar to some short video platforms, that is, the traffic algorithm between tags and tags. But unlike other platforms, Xiaohongshu’s prominent core feature is search recommendation. More than 65% of Xiaohongshu’s traffic comes from search. Therefore, Xiaohongshu has a more precise search traffic algorithm mechanism. Xiaohongshu search ranking optimization SEO is a must-do!
By identifying the content recognition attributes of Xiaohongshu, you can focus on selecting [keywords] to optimize titles and note content, thereby increasing the chances of being searched + recommended by the system 🎯
Xiaohongshu Search traffic algorithm interpretation:
1. After Xiaohongshu users search for content, the system matches the algorithm based on the search terms, and specialized tag vocabulary provides classification filtering functions.
2. The most popular notes are displayed at the forefront of search results, and the display form and filtering conditions are all aimed at narrowing the selection range and helping users make choices quickly. From the perspective of content operation, using this search mechanism can better serve content optimization.
3. The matching of search results and needs is mainly [the matching degree between core keywords and searches]. The specific content displayed in the search results is analyzed based on user needs. Therefore, the key to optimizing content is to find the information that best meets user needs.
Xiaohongshu Content optimization strategy:
- Xiaohongshu recommends keywords to users in several aspects.
- Gray keywords in the search box, historical searches displayed on the page, and hot search terms.
- Make good use of search keywords, hot word recommendations, etc., to help us find note tag vocabulary so that the system can recognize and recommend them to corresponding users.
OctoPlus Tip: Keywords in note titles are key! “More likes if you fill in the title”
Default prompt words: Before entering a search term, the platform will recommend default prompt words based on user tags. There is a certain amount of search traffic in default prompt words.
Search discovery (hot search): Hot searches display words that have been searched the most frequently recently, guiding users to view some recently popular content and topics with large search volumes, which are related to user search volumes and recent hot topics.
Supplementary associated keywords: Supplementary associated keywords, that is, users enter partial content, and then the system associates complete content based on this content, automatically completing keywords, and displaying them through instant matching keywords to increase user selection. For example, if you search for food, the platform will recommend several keyword recommendations about food to users.
Xiaohongshu streaming distribution mechanism:
- Considering the sorting of hot words is the result of comprehensive display.
- In addition to the number of notes, the ranking of “hot words” may also involve two factors: the frequency of active searches by users and the popularity of notes recommended by the system itself.
OctoPlus Tip: Keywords in note titles are key! “More likes if you fill in the title”
Computer review: Judge whether the note contains prohibited words or violates rules.
Initial traffic allocation: Initial traffic will be determined based on content weight, account weight, and prohibited content.
Flow increase: Further recommendation of content, CE5 formula = 1 point for likes + 1 point for collection + 4 points for forwarding + 4 points for comments + 8 points for following.
Recommendation ends: Search term recommendations generally last for 4-7 days, interest tag recommendations for 3-5 months, and if there is no interactive data value, traffic distribution will stop.
OctoPlus Tip: In order to release enough information value, the weight coefficient of “collection” in Xiaohongshu is very high.
Key points of Xiaohongshu keyword selection strategy:
OctoPlus Tip: When selecting keywords, please remember the following points to avoid inaccurate keyword selection or operations that affect weight.
- Coordinating short-term hot search terms with long-term traffic words
- Priority selection of accurate keywords with small competition and large traffic
- Reverse keyword selection based on content
- Reasonable layout of note structure
Avoid stacking keywords, which may be considered advertisements by the system, and if this operation continues for a long time, the account will be downgraded by the system.
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