Using ChatGPT directly within a CMS workflow to audit titles and metas for exact duplicates across an entire site presents significant safety and effectiveness concerns. Primarily, sending your site's proprietary metadata to a third-party AI service like ChatGPT raises data privacy and security risks, as this content might be used for training unless specific enterprise agreements are in place. Furthermore, ChatGPT is an AI language model designed for natural language understanding and generation, not for precise, large-scale database auditing. While it can compare text, it's far less efficient and accurate than a programmatic solution involving direct database queries or string comparison algorithms for identifying exact duplicates. An LLM might flag semantically similar items, which isn't the same as an exact duplicate and could lead to false positives or negatives. For robust and reliable duplicate detection, especially at scale, implementing a dedicated internal script or CMS plugin that directly queries your database is a safer and more accurate approach, avoiding external data transmission and leveraging deterministic logic. Therefore, for this specific task, relying on traditional code is generally more advisable than an LLM. More details: https://mh-studio.cn/content/templates/MH-Studio/goto.php?url=https://infoguide.com.ua