Neural networks have firmly entered our lives. They are constantly learning, improving, and helping users solve numerous tasks. Those who know how to use neural networks do more and get tired less. Let's figure out how to minimize the manual work of an SMM specialist.
What tasks can be solved with the help of neural networks
Everyone has different attitudes towards neural networks. Some fear that AI will self-learn so much that it will enslave humanity. Others claim that no machine can replace a living person. Some shift all their tasks to neural networks and are puzzled when something goes wrong. And others find a golden mean and save time and energy at work.
So, what can neural networks do? Can they replace an SMM specialist, or is human and neural network interaction necessary for maximum results?
Let's imagine: you are an SMM specialist. As is often the case, you are responsible for almost everything: creating a content plan and writing texts, preparing scripts for full videos and Shorts, preparing images, responding to subscriber comments, sending product descriptions upon request, analyzing the effectiveness of content, following trends... When to do it all?
Photo by: Matheus Bertelli: https://www.pexels.com/ru-ru/photo/16094044/
Familiar, isn't it? No wonder there are not enough hours in the day to solve all tasks, burnout follows you like the shadow of Hamlet's father, and on weekends you want to close the curtains and hide under the blanket. And yet, the problem of time scarcity can be solved with the help of neural networks. Where it takes you several hours to come up with ideas, manually write texts, or select images, a neural network can handle it in seconds. Or minutes - if you didn’t write the prompt quite accurately and had to clarify something.
Neural networks will help generate a content plan and write a text, come up with titles, video and reel themes, analyze data, voice the given text, place subtitles on top of videos, suggest trending ideas - and that’s far from all their capabilities!
Of course, neural networks are not perfect yet. For example, texts may contain factual errors or names of non-existent music bands, albums, cities, companies. Therefore, you will still have to fact-check each text, especially since everything in the modern world is changing so quickly that data that is a month old can already be outdated. However, neural networks will help complement the text, offer a mass of inspiring ideas, and suggest solutions to everyday tasks. In a word - become a reliable assistant. And a very fast one at that.
How to communicate with a neural network?
A neural network is not a human. It cannot intuitively understand what you need from it. Therefore, each request must be as precise and specific as possible. For example, in a prompt for content plan generation, you need to include the following points:
- Assign a role;
- Which company the content plan is being created for;
- Indicate the target audience;
- The period for which the content plan is needed;
- Specify the volume and type of content;
- Tone of Voice or writing style;
- The goal you set when publishing the content.
As a result, you might get a prompt like this:
You are a marketer for a psychologist's office. Create a content plan on the topic "Psychological preparation for the Unified State Exam" for three weeks. Posts should be published 5 times a week. Content should be aimed at high school graduates and their parents. Half of the posts should be entertaining or humorous in nature. Include various types of content in the plan. Include columns in the table:
- Date.
- Publication time.
- Type of publication.
- Post topic.
This is the kind of response the Postmypost AI neural network gave to the request.
Similarly, you can generate content ideas, headlines, and texts for posts, letters, longreads, and more. Use this formula when writing a prompt:
- Assign a role (marketer, specialist, novice author, SEO specialist);
- Formulate the topic and purpose of the text;
- Indicate the format of the content (post, article, Stories, letter, banner, longread instruction, etc.);
- Specify the text style: business, neutral, humorous, etc.;
- Indicate the approximate length of the text;
- Specify the audience the text is aimed at;
- Set mandatory conditions - they need to be enclosed in square brackets.
Prompt example:
You are an experienced marketer and copywriter.
Write a social media post for an orthopedic mattress store on the topic: How to choose a mattress for a child.
Target audience: parents of teenagers. They are interested in comfortable mattresses for healthy sleep.
In the post, compare beds with orthopedic mattresses and couches. Use the words [healthy sleep], [physiological], [orthopedic mattress].
The goal of the text is for followers to visit the site and place an order.
Neural networks for text generation
These neural networks make life easier for SMM specialists, copywriters, marketers, and other professionals working with texts. Upon request, they will write:
- Blog topic ideas;
- Titles and descriptions for videos, as well as scripts;
- Ideas and plans for longreads;
- Social media posts;
- Product cards for marketplaces.
The most popular text neural networks are ChatGPT, Postmypost AI, YandexGPT, Notion AI, CopyMonkey
Neural networks for data analysis and forecasting
For a neural network, all the content on social networks is a set of data that can be analyzed to highlight what's most relevant and popular, determine audience behavior, preferences, and reactions to content. And then—predict trends and outcomes of future campaigns. An SMM specialist can use this data to optimize strategy.
Among the most popular analytics services are Agorapulse, Buffer, MeetEdgar, Sendible, SocialRank, and others.
Neural networks for image generation
Visual content is essential for text content. Today, there are many neural networks that generate images. For example, Midjourney, OpenAI Dall-E, Stable Diffusion, Kandinsky, Shadervum, and others. Some neural networks work only with a paid subscription, while others can be installed as a regular app and used without a fee.
The Yandex neural network, Shadervum, works as a phone app. All created images are stored in the personal feed of your account. Bonus—using the neural network is free.
Midjourney is considered the best neural network for creating images. The cost starts at $10. This neural network is in beta testing mode and is available on the developers' Discord service.
Stable Diffusion is another neural network for creating images. It has both paid and free tariffs. It generates high-quality images that look like real photos, based on descriptions.
Craiyon is a free neural network. To create an image using it, you need to send a request to a Telegram bot.
Source: https://trends.rbc.ru/trends/industry/653149169a79471b84d852dd
Neural networks for converting text to video
Another possibility of neural networks is converting text to video. For example, Visper does this. With its help, you can create videos with avatars that speak the text. To do this, you need to upload your photo or use one of Visper's avatars. Then—type the text or upload it in a PDF or PPTX file. Next—specify the video format and voice-over language.
Two minutes of video per month can be generated for free, but the functionality will be limited. A monthly subscription costs about 1,500 rubles.
Chat bots
Chat bots can communicate with the audience: answer questions, provide information about products or services, delivery terms. They work around the clock. This reduces the burden on tech support and the SMM team. Convenient, isn't it?
For example, in Telegram, there are many bots that perform all these tasks. @BotFather creates and manages bots, @combot manages groups and channels. @PollBot can conduct polls and surveys, @WelcomeBot greets new users and helps them familiarize themselves with the group, and @TerminatorBot is needed to delete messages and restrict users. By the way, in Telegram for business, you may not need additional bots: it already includes the necessary functions to partially automate work.
So, while neural networks can minimize the manual work of an SMM specialist, they cannot fully replace it. It is still up to a person to decide how to integrate a neural network, automate business processes, and optimize work. The specialist's task is to formulate the request correctly and surely check the result provided by the neural network.
Free yourself from routine tasks, let neural networks handle tasks they can complete in seconds. We are confident: working with AI will help take your work to a new level.
