Customer Reviews for WooCommerce (CR) stores reviews as standard WordPress comments with comment_type set to review, attached to product post IDs, with star ratings in commentmeta under the rating key. CR adds verified-buyer status as comment meta and uses a queue stored in postmeta for review-reminder emails and CR's own custom tables for trustmark and Q and A data. SleekAI maps those structures through its data-source wizard so the system message can expose a product's average rating, recent verified reviews, and the current customer's pending review-reminder status as named variables.

That makes the support conversation specific. When a shopper on a product page asks what real customers said about durability, the bot can summarize the highest-rated verified reviews instead of inventing one. When a logged-in customer asks why they got a review request, the bot can read the CR reminder log for their last order and explain which products triggered the email. When they ask how to leave a photo review, the bot reads the option that controls photo uploads and answers based on what the program actually allows.

Display conditions scope the bot to product pages or the customer account, multibot lets a separate moderation bot run for admin users, and conversation logs capture every message with model and token usage so support leads spot recurring review-process confusion.

Customer Reviews for WooCommerce already does the hard work of collecting and verifying reviews. What it doesn't do is summarize them in chat, explain the reminder email, or walk a customer through claiming a verified-review discount. Shoppers on a product page ask very specific questions.

What do verified buyers say about durability. Does this run small. Why did I get a review email yesterday.

A generic chatbot bolted onto the store cannot see the comment_type=review rows, has no idea what the rating commentmeta means, and ends up either reciting marketing copy or, worse, inventing review content that doesn't exist on your site. That destroys trust the moment a shopper scrolls down and sees a different picture from real reviews. SleekAI flips that.

The bot reads the same comments the review widget reads, so summaries match what shoppers see two scrolls below. Reminder emails get explained against the per-order log instead of as a mystery. Photo and discount rules get quoted from the actual CR settings, not a stale help center.

Support leads stop fielding the same questions about the reminder schedule and start using the log to spot product pages where the reviews say one thing and the description says another. Because SleekAI never writes to comments or coupons, CR stays the source of truth and moderation, verification, and reward flow all execute through the plugin. The bot summarizes and guides while CR runs the corpus and rewards.

Combined with multibot, the same install can run a shopper bot on product pages, an account bot for review submission help, and an admin bot for moderation, all on a key the merchant controls.