Keyword research
For Keyword Research, it looks something like this. Another task for the AI assistant is to summarize the data. That is, find the top results for a keyword, click on the link to each of the top results, download content from the pages, such as images and tables, analyze them, and illustrate the conclusions.
While the previous example involved a custom GPT thailand telegram data created directly in Chat GPT, this option for creating an assistant involves writing code in Python. First, you need to take a template, then adjust the prompt and APIs you made requests to, and then simply run it.
Find top results by keywords and follow the links.
Download content from pages.
Analyze images, tables, etc.
Illustrate the conclusions.
So it might look something like this. This is a screenshot from Google Colab, a platform from Google that lets you run Python code. Here, this assistant made a query on Google Search, went to each of the results, downloaded CSV files from each of those sites, analyzed the tables that were there, and saved an image with screenshots of the analysis based on the data that was there.
The assistant's algorithm for summarizing data :
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