Marketing

How neural networks help SMM managers

How ChatGPT Helps in SMM – Automation and Effective Strategies |

Arseniy Zaytsev

SMM manager of Skillbox CIS

Two years of experience in SMM. At Skillbox, he works with a content plan, comes up with creative reels and posts, creates chatbots and collects analytics.

Two years of experience in SMM. At Skillbox, she manages the content plan, develops creative reels and posts, creates chatbots, and collects analytics.

Neural networks caused a lot of noise when they were released. Commentators in public groups threatened that ChatGPT would replace designers, copywriters, marketers, and even developers.

The uprising of the machines never happened. On the contrary, artificial intelligence helped specialists earn more and freed them from routine tasks. We prove this using the example of SMM managers' work.

How to use

SMM stands for Social Media Marketing. The goal of SMM is to attract clients from Facebook, Instagram, Telegram and other social platforms. Another important task of SMM is to increase brand awareness and work on reputation.

This means that the tasks include everything: copywriting, generating ideas for posts, design, analytics and more. In these conditions, an SMM manager can use neural networks as follows:

  • Generate ideas.For everything: posts, stories, videos, affiliate activities. A neural network can help when creativity is at a standstill;
  • Optimize the work of designers and copywriters.SMM specialists work closely with designers and copywriters, setting tasks and explaining what they want to see. Using neural networks, it will be possible to optimize the process for both parties;

For example, an SMM manager can describe an idea in more detail using ChatGPT, and a copywriter can work on the "skeleton" of the text and not write a post from scratch. Designers won't have to guess what idea their colleague has in mind — Midjourney can generate any idea for setting a task.

  • Analyze competitors.The neural network will provide information about competitors in your niche and suggest what distinguishes the brand from others;
  • Analyze the brand.For example, artificial intelligence can determine what is missing in the promotion strategy or tell you how the audience feels about the brand.

Remember that all information behind neural networks needs to be verified. Artificial intelligence often makes mistakes.

We asked ChatGPT what he thinks about Skillbox. Screenshot: chatgpt.com

Examples of Work

We've collected posts created using ChatGPT—from concept to final text. The neural network's work has been edited by the SMM team.