AI chatbot for Yotpo Reviews: cite product ratings inside chat
SleekAI pulls Yotpo review text, ratings, verified-buyer flags, and Q&A entries into chatbot variables. Bring your own OpenAI, Anthropic, Google, or OpenRouter key so token usage stays on your provider account.
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Cite Yotpo buyer feedback in chat
Yotpo for WooCommerce stores reviews in custom tables and exposes product-level rating averages through its REST API and shortcodes. SleekAI's data sources read the synced review records and Yotpo product meta like yotpo_score and yotpo_reviews_count stored against each product post, so the chatbot can answer with the actual star count and the actual reviewer quote, not a fabricated one.
The widget knows the current product on a single-product template through the page context variable, so a visitor on a moisturiser page asking about sensitive skin gets matched against Yotpo reviews tagged with that exact concern. Display conditions scope bots to categories, tags, or specific SKUs, and multibot lets a category bot, a product-page bot, and a post-purchase bot run with their own prompts.
Every chat is logged inside WordPress with the model name, tokens, and origin URL. Pair that with the JS API and the bot can launch from a Yotpo star widget click, a reviews tab, or a custom block on the product template without rebuilding the storefront.
Workflow
How SleekAI plugs into your Yotpo store
Map Yotpo fields
yotpo_score, yotpo_reviews_count, and synced review records into named variables. Add the product page context variable so the bot always knows which SKU it is talking about.
Set display conditions
Choose your model
Iterate on the log
Try it now
A typical Yotpo-powered product chat
Comparison
Generic chatbot vs SleekAI for Yotpo
Generic chatbot
- Does not know your Yotpo star average or review count per product
- Cannot cite a verified-buyer quote with their first name and date
- Misses product-specific Q&A entries already answered in Yotpo
- Fabricates praise that never existed in the synced review table
- Has no awareness of which product the visitor is currently viewing
SleekAI chatbot
-
Reads
yotpo_scoreandyotpo_reviews_countpostmeta directly - Cites verified-buyer quotes with first name and review date
- Pulls product-level Yotpo Q&A into the chatbot's context
- Scopes per product, category, or SKU via display conditions
- Multibot supports product, category, and post-purchase bots
Features
What SleekAI gives you for Yotpo Reviews
Verified-buyer citations
The bot cites real Yotpo reviews and tags them as verified buyers when the source record is flagged. Quotes carry first name, review date, and star count so a shopper can scroll the Yotpo widget on the same page to verify in seconds.
Q&A reuse
Yotpo's Questions and Answers feature already gathers buyer Q&A per product. SleekAI passes those entries into the system message so the bot answers a fresh question with the merchant's prior response when one already exists, no duplicate typing.
Per-product scoping
Display conditions and the page context variable let the bot see only the current product's Yotpo data. The serum page draws serum reviews, the cleanser page draws cleanser reviews, no manual prompt swap per SKU.
Use cases
Where Yotpo merchants use SleekAI
Skincare and beauty
Match skin-concern keywords like rosacea, oily, or sensitive against Yotpo review text so the bot quotes shoppers whose concern matches the visitor's question.
Supplements and fitness
Cite verified-buyer reviews that mention dosage, taste, or workout impact. Quote the star count so claims feel grounded rather than promotional.
Apparel sizing
Pull review snippets mentioning fit, true-to-size, or shrinkage into the chat so sizing questions get a real shopper quote rather than the brand's marketing line.
The bigger picture
Why product chat needs review data
Yotpo earns its place on a WooCommerce site by collecting buyer reviews with star ratings, photos, and verified-purchase flags. Most stores then display that data as a static widget under the buy button. The shopper who really wants to know if a serum works on oily skin scrolls past the widget, opens 11 reviews, gives up, and either bounces or buys without confidence.
A SleekAI chatbot turns the same Yotpo data into a conversation, so the same question gets a quoted answer in a single bubble. Verified-buyer citations carry weight that a marketing line cannot match because the shopper can verify the quote in the widget on the same page. Tying the chat to the product page through the context variable means the bot is never one prompt away from confusing a serum with a moisturiser.
Logging every conversation by page URL turns the bot into a market research stream. Over a few weeks you see which Yotpo reviews convert and which sit unused, which skin concerns shoppers actually ask about, and which product descriptions need a sentence added to head off the obvious question. Yotpo provides the trust signal.
SleekAI puts it in the conversation.
Questions
Common questions about SleekAI for Yotpo Reviews
SleekAI reads from the records Yotpo syncs into WordPress, including the product-level yotpo_score and yotpo_reviews_count postmeta plus any reviews cached locally by the Yotpo plugin. You stay inside WordPress and avoid hitting the Yotpo API on every chat request.
Push the full review set into an OpenAI Files vector store of up to one gigabyte per file. The model retrieves only the reviews that match the shopper's question, so the prompt stays small and the bot still cites the right quotes.
 Yes. Filter on the rating field inside the data source mapping, or write the filter into the system message. Many merchants feed positive reviews into the public chatbot and the full range into an internal one used by support to spot recurring objections.
 SleekAI focuses on the Reviews and Q&A data path. If you also run Yotpo Loyalty, you can map loyalty point balance and tier from the user meta into a separate logged-in chatbot, while a guest-facing bot stays focused on reviews.
 The chatbot reads the text portion of a review as context. If a Yotpo review includes a photo or video URL, you can pass that URL through the prompt and the bot can mention there is visual feedback available without trying to interpret the media itself.
 Yotpo stores merchant responses alongside the review. SleekAI passes the response field into the prompt so the bot can quote both the buyer's concern and the brand's reply, which is useful when answering questions about how an issue was resolved.
 Yes. Multibot mode supports several chatbots on one site, each with their own display conditions. A skincare category bot can run alongside a supplement bot and a homepage bot, each scoped to its own Yotpo data and tone of voice.
 Conversation logs include the page URL, so you can group chats by product or category in a spreadsheet. Combine that with the assistant transcript and you can see which Yotpo reviews convert browsing into add-to-cart and which never come up.
 Pricing
More than 1000+
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