Combining ChatGPT with vector databases offers a highly effective strategy for generating unique SEO summary blocks for category pages. A vector database stores embeddings of existing product descriptions, articles, and related content, enabling semantic retrieval of information that is relevant but not directly copied. ChatGPT then leverages this semantically retrieved data, along with specific prompts, to synthesize fresh, high-quality summaries. For a given category, the system first queries the vector database to identify overarching themes and unique selling propositions across products, *excluding* verbatim matches. This curated information is then fed into ChatGPT, which is instructed to create a concise, SEO-optimized summary, focusing on target keywords and user intent without repeating existing product text. This powerful synergy ensures content originality and relevance, significantly enhancing category page SEO and user experience. More details: https://www.project24.info/mmview.php?dest=https://infoguide.com.ua