How to Use AI in SMM Smartly

In recent months, AI has gained popularity in SMM and marketing in general. These tools have great potential for automating routines and more effectively promoting accounts. Some solutions are designed to work with text information, like ChatGPT, while others help work with images, like Midjourney. They can be used in various situations, from choosing dishes for a family dinner to analyzing the current economic situation in the world. Let’s find out how they can be applied in social media management to maximum benefit.

The Possibilities of AI in Working with Social Networks

Of course, SMM specialists worry: everyone wants to understand how likely these innovative social network tools will completely replace people in SMM. What to do to prevent this from happening?

In short, learn to work with AI tools and delegate as many routine tasks as possible. Instruments for automating processes reduce time spent on everyday jobs and give you time for tasks requiring creativity, such as overall strategy development and account promotion. A neural network for social media posting and preparing images does not surprise anyone, but in fact, it can do much more work.

What Can You Delegate to AI?

By 2023, AI tools in social media can already fulfill many tasks, and we will go into detail about each.

Texts and Pictures Generation

AI in SMM can write decent text or make unique pictures for a social media post based on a given concept or topic. The Midjourney neural network, for instance, has already learned to create photos for social networks as if a professional photographer took them: the pictures look incredibly realistic.

It eliminates the need for professionals to manually create posts whenever they need something new. Just set the desired publication topic – if you need to write an expert text, you can ask the neural network to pretend to be any specialist.

Generating Ideas

AI can create entire concepts for campaigns or individual projects by analyzing available data, such as the portrait of the people you want to attract, current trends, ideas, and developments. The neural network will quickly write a content plan for at least a year in advance for any niche, considering your wishes and preparing social media scheduling.

Data Analysis and Validation

AI solutions can analyze large volumes of data quickly and efficiently. They can check a long read for errors and add punctuation marks under challenging cases, write a short retelling, or generate an extended version of a short text. A social media post generator can suggest the optimal solutions for a problem.

Hashtags Optimization

AI can suggest suitable hashtags or keywords for writing posts. This way, users can easily find and read your posts. This is how automated social media posting helps promote social networks and not just generate texts.

Trendwatching

Modern tools will help you stay up to date with trending formats and topics for content because a social network, through the eyes of a neural network, is just a set of data that can be analyzed and selected. For example, you want to shoot a short vertical video or take a photo for a nail salon. A social media automation tool will tell you which ideas for such content are often used in your niche. This is how neural networks will help promote social networks through viral content.

Advantages and Disadvantages of Implementing AI in SMM Marketing

In the previous section, we listed only a few of what neural networks can do in automating work. Their usefulness is limited only by your imagination and ability to generate accurate queries. However, there is no ideal solution because any tool also has disadvantages. Let’s look at the strengths and weaknesses of AI.

Here are the main advantages of AI-based social media management:

• Increased productivity: AI takes over routine, time-consuming tasks so social media professionals can focus more energy on creative projects. Most analytics tasks associated with SMM can become automated, reducing the need for a human to read reports, interpret findings, and make appropriate suggestions.
• Better control and quality management: with automation tools for social media posting, it is easier to monitor the quality of the result since manual processes are no longer a distraction.
• Higher accuracy in data collection: when automated processes are carried out regularly, it is easier to detect errors since any inconsistencies are identified immediately, rather than after many hours of manual labor when a person is already tired.

Despite the many benefits of neural network-based automation, there are still some challenges, including:

• Resource-intensive: creating a complex system requires significant preliminary investments, not only financial but also human and technical. You need to learn how to write queries correctly. In essence, this is the same as setting tasks for an employee: if there is no precise technical specification, there is no good result and no effective promotion of social networks.
• Difficulties in training and debugging models: training these systems requires significant effort due to their complexity. It can lead to delays, especially in the initial stages of working with a neural network. At first, it may seem that a neural network for SMM only complicates work processes rather than makes them more accessible, especially when working with images. But this is normal. Over time, everything will become more straightforward and apparent.
• Lack of flexibility: because neural networks for social networks rely heavily on pre-programmed algorithms, the scope for improvisation is limited. It can lead to problems if unexpected scenarios arise during operation. Human help is needed here.

Conclusion

It is necessary to recognize modern trends and new working tools. If you want to remain a sought-after specialist, neural networks for social networks should become your partner or employee. Learn to make high-quality, detailed requests. Then, over time, artificial intelligence will become an assistant who will take over all the routines. Already, you can delegate to AI the formation of a content plan, searching for ideas, checking and shortening texts, writing posts, and partially preparing pictures and photos. Over time, the list of tasks will only expand, and working with neural networks will become easier.