What is the great need for AI tools to analyze the behavior of people through social media? It’s primarily about understanding, as well as predicting, user behavior on social media platforms. This is difficult because of the amount and types of data being acquired. An analyst not supported by AI in social media can count reactions and the number of comments, or assess whether posts are positive or negative. The task will be tedious and error-prone.
On the other hand, an analyst with AI’s help in social media will gain the ability to gather data from all the places where company mentions appear, as well as get information about where they should be in the future. This is possible because AI can operate on a much larger scale. In other words, it can analyze Big Data, i.e. huge amounts of disparate data.
AI-based tools in social media enable us to reflect on associations, showing the relationships linking a product’s name to adjectives describing quality, emotions or associated values. This can prove to be a key tool for social media analysis, showing how customers perceive our business. Linking the frequency of certain words, combining them with photos and users’ emotional reactions – opens up entirely new business opportunities.
By automating the publication calendar of social media content with AI, we can plan the date and time each post will appear. If the AI tool of choice is equipped with a learning artificial intelligence module, we can choose to entrust automation to optimize the publication calendar. Having data on the popularity of previous posts, an application such as Buffer will suggest when it’s best to publish the next post.
Fully automated social media posts are primarily effective for content repurposing, that is:
Given the level of sophistication of ChatGPT or Google Bard, which can generate long, meaningful statements, and adding in advanced image generators such as Dalle-2, Midjourney or Stable Diffusion, the answer to whether AI can create social media posts on its own is yes.
There is one condition: to keep the post in the style of our previous contributions and continue the topics you cover on social media, you must have appropriate prompts. In addition, the source material – that is, the context provided to AI – must include enough examples of your previous publications. And if what you want to write about is not publicly available, you also need to provide information directly relevant to the topic. In other words, it will not be full automation, but rather collaboration with AI.
If you want to outsource the writing or development of your company’s social media publishing calendar to a tool that works with artificial intelligence, there are three worth looking into. Cortex is a tool for optimizing and personalizing marketing content, Lately is for creating content strategies and ideas and Buffer is mainly for managing calendars and social media collaborations. All of these tools feature AI to increase engagement and return on investment in social media marketing.
Cortex is an AI tool that helps companies increase their return on investment in social media marketing by:
Cortex analyzes marketing content and predicts how consumers will respond to it. It also leverages existing content, generates new posts linking to predetermined pages or documents as well as answers customer questions in real-time. Cortex also offers the ability to apply selected filters to images so that they are consistent with the brand’s color scheme, automatically match colors and monitor competitors.
Source: www.meetcortex.com
Buffer is a social media marketing tool that helps small businesses build their audience organically. One of the interesting features is Buffer AI Assistant, which:
Source: buffer.com
Lately is a social selling platform that applies artificial intelligence to deliver marketing content. Lately also offers a special tool to reuse existing content to increase engagement across all social platforms.
Source: lately.ai
Here are some of their main differences and how AI is used in these tools:
AI tools help improve the effectiveness of marketing on social media platforms, including creating textual and visual content, monitoring social media or managing ads. However, the best results will be achieved by using AI in social media as an assistant to help improve the quality of published content and optimize the calendar, rather than as an automated post-creation machine. Running a company’s social media can be significantly helped by keeping a close eye on analytics and drawing conclusions, especially with the help of AI.
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Author: Robert Whitney
JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.
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