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SEO assistant, combined with GPT, can generate articles in batches, publish them in batches, and stand in groups, dozens of articles only take 3-5 minutes, which is very efficient.
Operating environment: Nignx php8.0+mysql5.7 (the environment is configured as the configuration during debugging)
Swoole extension + Redis extension permission is enabled
Long-term operation uses the genuine system, which is continuously updated, stable and safe.
Genuine Authorization One-click update
There are two ways to cooperate:
1. We package the server domain name, and use the one-stop service to open an account directly.
2. The source code is independently deployed in your server.
If you have no technology, you want to operate, and you want to cooperate, you can choose one-stop service: package server, build, install, maintain, update.
We undertake secondary development function customization services
System introduction
Based on GPT artificial intelligence technology, it can generate titles in batches according to keywords, generate articles in batches according to titles, and automatically publish articles to the official website or major CMS systems that have been docked by themselves.
1. Channels
1) Databases
In order to support more distribution channels, we support direct link to the database, and the direct operation of your content system database requires you to fill in the corresponding database information, which will be automatically linked when the content is published.
2) Table fields
A table field is associated with a table in your database, which is generally associated with your article table, and is only used as a map, and does not involve the operation of sensitive information.
3) Interface channels
In addition to supporting database channels, we also support submitting parameters to third-party CMSs, and if your site is based on other CMSs, you can choose the interface channel to push content directly. The above content involves technical docking, so I won’t elaborate too much here, and you can consult the information on your own.
Second, the template
1) Classification
It is to classify and manage the titles of the current operation, you can classify and store the titles for each industry, and you can choose to generate categories when generating articles, which is also the key to batch automation.
2) Intelligent generation
In Smart Generation, you can enter keywords and select a specified category to generate the corresponding title, and you can also specify the number of titles to be generated. Auto-Create: The default is generated by the number you specify, and if you enter 0 here, it’s infinite creation until you run out of words. If you set a fixed value, that’s the number of loops, for example, if you set the number to 5 and set it to 2 here, that’s 2 loops, which is 10 headings, and so on.
3) Title queue
If the auto-created quantity is -1, it will not enter here, and if it is a fixed value or 0, the task will be delivered here for generation.
4) Title management
All generated titles will be archived in the title management, you can see the status of the generation, you can also edit and modify it, if the generation effect and quality are not good, choose to delete.
5) Import the title
If you have batch captured titles in Zhihu or other places, you can directly import these titles here for creation.
6) Smart Extraction
Summarize and summarize the specified content, and then quickly create it, which is equivalent to pseudo-originality, but it is more humane than pseudo-originality, and the tone and expression of the content are changed in a different way.
7) Content Management
The content you extract will be unified into this place for management, and you can also rewrite the pseudo-original article outline before operating.
3. Content
1) Title creation
Select the previously generated title for quick creation, and you can also insert an image into the text, as shown in the image below.
2) Quickly original
Select the outline extracted from the previous content for pseudo-originality, and you can also insert pictures, as shown in the figure below.
3) Auto-authoring
We know the automation of the title earlier, but it can only generate the title indefinitely, and the automatic creation here can be based on the previous title to create the article infinitely, and the automation will consume a certain amount of server performance, so if it is deployed independently, prepare a little server as much as possible. You can also choose the number of creations here, if you want to create a specific number of articles, you can set it freely.
4) Content creation
All articles that have been pseudo-original will be managed here, as shown in the image below.
5) Title creation
Articles created with selected titles will be archived here for management, and the generated articles can be edited, modified, or even deleted, as shown in the figure below.
Fourth, release
1) Production management
All your headline creations or content creations will be reflected here, and you can see the word count of each article, as well as the time it takes, as well as the current status, and if the article fails, the reason for the failure. In addition to seeing the information, you can also download the article locally and edit it online.
2) Fast release
Here you can choose to send the specified article to your specified channel, such as the currently supported database mode, and it can be directly pushed to your website system, as shown in the figure below.
3) Publish on a regular basis
If you look at this carefully, you will find that all the functions can be automated, such as the previous title automation, content automation, and publishing automation. In the scheduled release here, you only need to set the corresponding publishing parameters, such as when to publish each day, how many articles to publish per day, what channel to publish to, and the interval between releases, etc., as shown in the figure below.
4) Release Records
Here you can record all your published articles, what channels you publish to, what interfaces, publishing time, status, etc. will be displayed here.
You can set up different release channels according to your needs to achieve the desired testing effect. For the basic management of users, you can set up packages, review content, and perform basic settings on the system. Conclusion The greatness of each product is not made by one person behind closed doors, but through sharing and communicating with everyone, so as to better improve and perfect the product. I hope that there will be more products that use AI technology to enable more vertical industries in the future
