Development of an algorithm for generating and correcting SEO-optimized descriptions

An automated script has been implemented for creating and optimizing product descriptions and metadata for an online store using AI (Grok and ChatGPT).

Main functions:
Normalization of product names to a single format: Equipment Type - Brand - Model - Features.
Generation of SEO-optimized titles, meta descriptions, and H1 headings.
Rewriting product texts into a readable format, preserving 100% of technical specifications and adding practical recommendations for users.
Validation of texts by another AI (ChatGPT) to check for SEO, readability, and naturalness of the text.
Support for two languages: Ukrainian and Russian.
Working with large volumes of data (20,000 products) through Excel files, integration with AI model APIs.
Ability to easily edit AI prompts without changing the program code.

Technologies and tools used:
Python
Pandas
OpenAI API (ChatGPT)
X.AI API (Grok)
Prompt engineering for text generator and validator
Working with multilingual data (Ukrainian/Russian)

Result: a fully automated process for generating and correcting product descriptions, ensuring high content quality, SEO, and saving time on routine work with a large product catalog.