Maintaining a blog or a page on social networks can be not only a way of self-expression and telling about your life. Now it is one of the ways to promote a personal brand and even earn money (earning money from advertising). But a blog or a page on social networks develops due to content, and a considerable part of the time is spent creating this content. A content plan helps to simplify and structure the task. But it also needs to be drawn up, you say, and you will be right. However, if you create a content plan using a neural network, the task comes down to drawing up a technical specification and a couple of minutes of waiting.
What is a neural network and how does it work Neural network, neural network, AI, artificial intelligence, AI - all this is the name for the same machine learning model. Its most famous representative is ChatGPT, although there are many more similar AI from Google, Yandex, Sberbank, and so on. And dozens of neural networks used for scientific purposes, research, and so on.
Artificial intelligence is capable of performing various tasks almost at lightning speed - from solving mathematical problems and writing texts to complex chemical calculations, diagnostics, and so on. But the operating algorithm is the same for all of them, and it is similar to the operating principles of biological neural networks:
- Obtaining large amounts of data.
- Interactive data processing using intelligent algorithms - automatic learning using statistics, identifying patterns, and certain features.
- Issuing the result.
- Comparing the result with the reference. The work involves the simplest processors - “neurons”, divided into three groups: receptors and sensors (receive incoming data), associative elements (process information), and responsive elements (produce results).
But we must remember that neural networks only imitate human cognitive processes. They lack the main thing: the ability to understand information. Therefore, AI cannot do without errors, inaccuracies, and training neural networks on data from the Internet increases the percentage of erroneous answers (we think there is no need to explain why).
Advantages of using a neural network to create a content plan Despite the inability to understand information, a neural network that creates a content plan will become a useful tool. Because, in response to a request, it processes a huge amount of data on the topic, studies recommendations and rules, compares different versions of content plans available for study, and forms its own - the one that best suits your request. And all this - in a couple of minutes.
This is the main advantage of AI - speed and access to a large amount of information. You can do the same, write a plan yourself, but the work will take several days. But the advantage is not the only one.
Automation of the content creation process The key to the efficiency of any process in the 21st century is automation. It eliminates the necessary but time-consuming routine, including such as drawing up plans. A neural network for creating a content plan saves your time by taking on the following tasks:
- generating ideas for tests, photos and videos;
- writing texts, optimizing them for keywords;
- composing headlines;
- creating texts in different languages;
- adapting content to the theme of a particular site.
Improving the quality of content through data analysis and predicting trends You can do this yourself by making a publication plan for a week or a month in advance. But publishing posts is not entertainment, but work. And to make it more effective, you need to constantly analyze trends, search queries, predict the behavior and interests of users in order to offer them the most interesting topics. AI does this better, at least much faster.
Stages of creating a content plan using a neural network Working with AI is not difficult, and the main thing is to compose the right task that will help the neural network give the most complete answer. To improve the efficiency of your work, follow this scheme:
- Define the task - you need a plan to increase brand awareness, sales or the number of subscribers.
- Create a portrait of your target audience – age, gender, social status of the ideal subscriber, their interests, problems that they can solve with your help. By the way, this can also be entrusted to artificial intelligence.
- Collect data about your target audience – interesting topics, trends, keywords used to search for information. This is also a task for AI.
- Data analysis is the work of a neural network.
- Generating content topics is also an AI task.
- Generating a content plan is the final task for a neural network.
The content plan should include a list of topics and types of posts, the date and time for publishing each, keywords for the post. And remember that a neural network for writing a content plan is only a tool. Evaluating the response, editing it, making decisions - you do all this yourself.
Prospects for using neural networks to improve content marketing strategies Already now, a neural network for generating a content plan is a popular tool among many bloggers, marketers and those who are engaged in promoting brands, products or services. In the future, the frequency of using AI will only increase, since when used correctly, neural networks help create more attractive, effective texts, photos or videos. A better understanding of the target audience, its needs and problems is what increases the return on any marketing campaign, be it a large-scale promotion from a trading corporation or promoting your own project on a social network.
