AI+Xiaohongshu search, create popular notes at low cost!

How to output notes efficiently? AI + Xiaohongshu empowers you! This article focuses on how to use AI tools to create Xiaohongshu content at low cost and create low-fan hot-selling notes.

1. How to design a low-volume popular content library

Many people have a passion for creating original content, and feel that they must create original content to demonstrate their strength and value. For newcomers, the most important thing in the early stage is to produce content. There is a famous saying about content creation: great effort can make miracles happen. Only a sufficient amount of content is the core of content creation in the early stage. There are also some methods and techniques for creating good content. Here I will share some practical methods with you.

If you want to do a good job of Xiaohongshu notes, the first step is to disassemble the benchmark accounts. How to find the benchmark accounts, there is a method called disassembling low-fan hot-selling notes. Here, with a practical example, I will tell you how to find low-fan hot-selling notes.

I searched for the keyword "insurance" on Xiaohongshu. Some notes only had a few hundred likes, while some had tens of thousands. I prioritized the notes with the most hits. I focused on what the content of these notes was, what the topics were, and how the content was planned. At the same time, I randomly selected a note with 36,000 likes to see what this account was like. Here, looking for high-liked notes in multiple accounts and looking for high-liked notes in a single account is a way to find low-fan hot items.

When looking for benchmark accounts, you should prioritize accounts with less than 100,000 followers, which were created in the last six months, and have the most video likes, favorites, and comments. If your account is still in its infancy, don't try to benchmark against mature accounts in the industry, as this kind of benchmarking is not very valuable.

To find a good benchmark account, you need to learn to design your own exclusive low-fan popular content library.

This is a low-fan hot-selling content library that I designed when I was working on an account related to knowledge payment. It includes the account blogger name, the number of fans of this account, the time when the note was published, the topic, and the number of likes, collections, and comments on the corresponding note.

If the blogger has more than 100,000 followers, I will not analyze it here. If it is more than half a year old, I will not analyze it. I will give priority to notes with high likes. Some notes recorded here have tens of thousands of likes and collections. For notes with a large number of comments, I will observe what users are commenting on. The user comment area is also an important source for finding high-quality topics.

In addition to analyzing the content of the benchmark account, we must also pay attention to the form of the content, that is, whether the form of the video or note is easy to imitate. For example, for a hot short video note, can you imitate the way the video was shot? Others can achieve low-fan hot sales, and when imitating, you must achieve pixel-level replication. Especially when you are not familiar with it in the early stage, you can replicate the copywriting, shooting style, and writing style in other people's accounts 100%. This is a replication with maximum granularity, not direct copying. These are two concepts, and copying other people's content is a violation. Pixel-level imitation is essentially replicating around your own business and products. I will share some practical tools with you later on how to replicate specifically.

The first tool I shared is called "Houyi Collector". You can use Houyi Collector to quickly batch capture Xiaohongshu content notes. You can first search for "Houyi Collector" on the Internet to download a web client. When using Houyi Collector, you need to log in to the Xiaohongshu web client first, open the Xiaohongshu website on Baidu, and remember to scan the code to log in to your Xiaohongshu account, otherwise you will not be able to capture data. If you are interested, study it yourself.

With the help of tools, we can quickly collect original materials, and combine the method of designing the low-fan hot-selling content library mentioned above to summarize the blogger's name, number of fans, note link, note publishing time, note likes, collections and comments. We can compile a low-fan hot-selling table template related to AI marketing.

In the early stages, when you are not familiar with the Xiaohongshu platform and the content format of Xiaohongshu, you can make use of form templates to make yourself sensitive to the content. When you become proficient in content creation and have your own sense of the Internet, your efficiency will be higher.

Then we can modify and optimize these original copywriting, combine them with the characteristics of our own industry, and sort out the copywriting that conforms to the characteristics of the industry. Through these tools and methods, we can quickly build our own low-fan hot-selling content library in the early stage.

2. AI efficiently creates Xiaohongshu content

AI tools are now widely used. So how do AI tools play a role in the content creation of Xiaohongshu? Here I would like to share with you from two perspectives: AI generated text content and AI generated video content.

1. How AI can efficiently create graphic notes

Let's review the previous course content. To create accurate content, we must first mine keywords. The GPT tool I use here is Alibaba's Tongyi Qianwen. The reference prompts given to Tongyi Qianwen are as follows.

Role: You are a senior Xiaohongshu SEO expert.

Task: Help to find keywords related to "beauty and skin care". These keywords must be the top 20 online search volume in the past 30 days. Do you understand the above? If so, please answer.

GPT responded that as an AI assistant, I cannot obtain specific search data from the past 30 days in real time because my information updates are based on the data set I was trained on and cannot provide the latest real-time search engine or search trend data on the Xiaohongshu platform.

At the same time, the GPT tool provides other methods to assist in solving this problem. I have actually asked GPT questions like this many times, and I can feel that GPT is also constantly evolving. When mining SEO keywords, it will be more accurate to use professional tools first. The key here is to learn how to ask questions with prompt words. After the new tool comes out, it must be sorted out and analyzed in combination with the actual business situation.

Use GPT tools to write Xiaohongshu note content.

Role: You are a senior Xiaohongshu SEO expert.

Task: Write a soft article around the keywords "Men's Outfits" and "Men's Outfits 35+" in the style of Xiaohongshu.

If you understand, please answer.

Here I am creating content for specific keywords. The answers given by the GPT tool are relatively OK. After a little optimization and modification, it can be used as formal content. It is important to note that when creating content, you should combine search keywords and make targeted content. When creating content around keywords, the content created will be more likely to obtain natural search traffic.

Finally, you can use the GPT tool to efficiently create Xiaohongshu note titles.

Role: You are a senior Xiaohongshu SEO expert.

Task: Generate 10 article titles around the keyword "Men's Wear".

Tip: The target users attracted by these article titles are working men aged 35+.

Do you understand the above? If so, please answer.

GPT replied that it understood. Here are 10 attractive men's wear article titles designed for working men aged 35+. It quickly gave 10 titles. This efficiency is very high. And the titles given are basically good answers, which is much more efficient than manually thinking and writing.

Finally, I would like to share some good domestic AI tools, which are basically free. You can save them and use them more often to get familiar with them.

AI video URL

Tencent Zhiying: https://zenvideo.qq.com. Yiframe: https://aigc.yizhentv.com.

AI Graphics Website

iFlytek Spark: xinghuo.xfyun.cn. Wenxin Yiyan: yiyan.baidu.com. Wenxin Yige: yige.baidu.com. Tiangong AI: search.tiangong.cn. Tongyi Qianwen: qianwen.aliyun.com.

2. Use AI to create short video notes

Through AI tools, video note content is created. From early content planning and content distribution to later SEO optimization and matrix delivery. With the help of tools, more than 100,000 pieces of content can be easily generated.

The screenshot here is a screenshot of the AI ​​matrix background of an AI company.

Here it is also clearly listed how to operate each step. I have also come into contact with many AI matrix systems myself. The background of this AI matrix is ​​very simple. In the background, you can directly click to directly produce short video notes. There are roughly these steps.

The first step is to create a project name, the second step is to fill in the project information, mainly including the industry and brand name, you can also set the user portrait, and even the font, font size configuration and background music of the subtitles can be adjusted. The third step is to upload the storyboard material/image material, the fourth step is to upload the SEO long-tail keyword library, the fifth step is to click synthesis, the sixth step is to display the film, the seventh step is to bind the self-media account, the eighth step is to publish to the self-media account, the ninth step is to open the hosting (self-media account authorization), and finally you just need to turn on the automatic hosting, observe the background data, and continuously optimize.

It sounds like there are a lot of steps, but in reality, you just need to click on the backend. The core is to have good content materials and analysis of search keywords, which is the basis for ensuring that the content can obtain accurate traffic. AI tools are mainly used to improve content production efficiency.

Through the AI ​​short video matrix system, good results can indeed be achieved in the actual project operation process.

Here is a pet store online operation case, which is a pet store that mainly sells pet supplies, pet medical care, and solves daily problems of pets. Combined with project analysis, the team optimized the SEO of Xiaohongshu for the customer, using 10 accounts of the matrix to publish 7,000 videos in 2 months, and after 2 months of precipitation, the current average number of backend consultations per day is 100+.

Figure 1 is the pet store account matrix display effect.

The account video display in Figure 2 shows that the number of views of each short video has exceeded 1,000+.

Figure 3 shows the background data, the natural traffic volume of a single video is about 1,000.

Figure 4 shows the background data. A single account published 9 videos within 7 days, with an average of 1,000+ natural traffic and 1,000+ search traffic per video. In addition to the platform's natural traffic, keyword optimization also brought a lot of accurate search traffic.

Figure 5 shows that the client’s backend had received customer inquiries in November last year and directed them to the private domain. In conjunction with the pet shop’s own free pick-up, drop-off and cleaning services, the daily appointments are basically fully booked.

Unlike the previous manual content creation, which was slow, the overall efficiency has been greatly improved with the help of AI tools. Combined with the previously explained method of collecting low-fan hot-selling content, feed AI tools to batch create high-quality low-fan hot-selling note content.

Author: Hu Xianwu; Official Account: Lao Hu's Operation Notes