The assistant's algorithm for summarizing data

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Social media listening
Idea for social media listening using an assistant algorithm for summarizing data :

Find top posts on social media by keywords.
Analyze content, images, transcription, comments, and a list of people who interacted with posts.
Find similar posts from people who have interacted.
Find common ground in posts and requests in comments.
Suggest topics for posts that are in demand.
Another idea of ​​how to use an assistant is social thailand telegram data media listening. The algorithm is roughly similar to the assistant for summarizing data, but the steps are slightly different. First, you need to make a query in a search engine, for example, Google, with a filter for Linkedin.com and Instagram.com by keyword. Then go to each of the posts that are in the search results, analyze images, transcriptions, comments, a list of people who interacted with the posts, find similar ones, go to the profiles of those who interacted with the posts. After that, collect all this data and transfer it, for example, to Chat GPT or its alternative. Find common ground in all these posts and suggest a topic for posts that are in demand. This is something like content summarization.

Displaying places on the map
Another example of use for SEO. This is an assistant for displaying places on the map. Most recently, chat GPT added the ability to make an AI assistant that can also make marks on the map. They made a presentation like a month or a half ago. In which the assistant writes something to it in the chat key and it makes a request to some api. Then it outputs data based on this.