Advanced Woo Search does an excellent job ranking products against a query string. It searches titles, content, excerpts, SKUs, and categories, with weights you can tune. Where it stops being useful is when a shopper types a full sentence with constraints, like "a quiet espresso machine for a small apartment under 500". That is not a keyword problem, it is an interpretation problem. SleekAI maps the same WooCommerce product fields, attributes, and taxonomies into the chatbot's system message so the model can reason about budget, room size, and use case rather than scoring tokens.

Display conditions scope the chatbot to the shop page, search results template, or specific category archives, so AWS handles fast direct lookups in the header while the chatbot picks up the longer questions further down the page. Multibot lets you run a general shopping assistant on consumer categories and a more technical bot on professional lines, each on its own model and prompt.

Conversations log to WordPress with the model, token usage, and page URL attached. Use the JS API to open the bot from the AWS empty-state message with the failed query pre-filled, so a search that returned nothing turns into a guided answer instead of a bounce.

Ranked search and chatbots are not interchangeable. Advanced Woo Search is the right tool for direct lookups: a SKU, a product name, a brand, a fast in-header experience that returns under a second. The shopper journey that breaks ranked search is the one where the visitor types a sentence with two or three constraints at once, like a price ceiling, a feature, and a context of use.

A keyword index has no idea what "quiet" means for an espresso machine, what "small apartment" implies for footprint, or how the two relate to budget. It will return a noisy ranked list and the shopper will scroll once and leave. A generic chatbot is worse, because it does not know which products you actually stock and will invent specifications to fill the gap.

SleekAI reads the same WooCommerce data AWS indexes and applies reasoning rather than ranking: it can interpret the constraints, ask a clarifying question, and end on one to three concrete SKUs that actually live in your catalog at real prices. The AWS bar keeps doing its fast direct-lookup job at the top of the page, and the chatbot picks up the shoppers AWS would otherwise lose. The logs make it obvious which categories generate the longest, most constrained queries, which is exactly the signal you want for deciding which category pages deserve a rewrite or a curated comparison.