To efficiently leverage ChatGPT for planning canonical tags in faceted navigation, the approach isn't a direct database connection but rather a streamlined data pipeline. First, extract relevant keyword data and faceted URL structures from your keyword database into a manageable format like CSV or JSON. Next, design specific prompts for ChatGPT that feed it this data, asking it to analyze patterns, identify primary category pages, and suggest optimal canonical tag destinations for various facet combinations. For example, provide ChatGPT with a list of facet URLs and their associated keywords, then ask it to determine if a given faceted URL should canonicalize to the root category or a broader filter page. This method reduces the manual effort in sifting through vast data, allowing ChatGPT to accelerate the analysis and provide reasoned recommendations based on the keyword database insights. Ensure you clearly define your SEO goals and rules for canonicalization within the prompts to guide ChatGPT's output effectively. More details: https://new-porno.net/cgi-bin/nouut.cgi?redlab=newvideo&url=https://abcname.com.ua/