Advanced Reviews for Magento 2

Product reviews that shoppers read and buyers trust

Magento's built-in reviews give you a star rating and a text box. Shoppers have to scroll through every review to find out what people think, and anyone can post one, whether they bought the product or not.

Advanced Reviews turns the review section into something shoppers use to decide, and gets more of your buyers to write one:

• An AI summary with pros and cons at the top of the reviews, written from the latest reviews
• Review request emails after an order, included in the extension, with no separate module to buy
• A Verified Buyer badge and filter, or reviews accepted only from customers who bought the product
• Photos, pros and cons in every review, plus comments and replies from your store
• Shared reviews for product variants and product groups, so a new SKU doesn't start with an empty review block

Everything runs on top of Magento's native reviews, on Luma and Hyvä.

Most happy customers never come back to leave a review. They just need to be asked at the right time. The extension sends a review request email after an order and lists each product from it with its photo and a "Review Product" button.

• Timing: send the email a set number of days and hours after the order, 3 days by default.
• Order status: choose the statuses that trigger the email (Complete by default) and the ones that cancel it, such as Canceled or Closed.
• Who gets it: exclude customer groups, for example wholesale or staff accounts.
• Your email: choose the email template and the sender, and get a copy of every reminder in your own inbox.
• Control: a log of sent reminders, a sandbox mode that sends everything to a test address, and no duplicate emails if the scheduled task runs twice at the same time.

Setup takes a few settings, described in the review reminder guide.

Once a product has 5 reviews, the extension writes a short summary of the latest 10, with the pros and cons customers mention most. It appears at the top of the review section, so a shopper gets the gist without reading every review.

The summary is updated when new reviews come in. It is generated with the AI provider you choose (OpenAI, Claude, Gemini or Grok) using your own API key, and you can show a note that the text was written by AI.

See the AI summary setup in the manual.

Shoppers trust a review more when they know the author bought the product. You decide how strict to be:

• Verified Buyer badge: added to reviews from customers with an order for the product, in the order statuses you choose. Guest reviews get the badge too when the email matches a guest checkout order.
• Reviews only from buyers: the review form is offered only to signed-in customers who bought the product. Everyone else sees your notice with sign-in and registration links. The rule also covers photo uploads and reviews sent through the GraphQL API (used by headless storefronts), so it can't be bypassed with a direct request.
• Variants count: buying a variant of a configurable product or an item of a grouped product counts as buying the product itself.
• Editing: customers can edit their own reviews in "My Product Reviews". An edited review goes back to Pending, so nothing is published without your approval.

On the storefront, a Verified Buyers filter shows only reviews from customers who bought the product.

The review form asks for an overall rating, a short summary and the review itself, with separate fields for pros and cons. Customers can attach photos (up to 5 per review and 5 MB per file by default, both adjustable), and guests leave an email address, so their reviews can be matched to orders.

Reviews of configurable products can show the options the customer bought, such as the size or color, and where the reviewer is from (city and country, detected from the IP address). A shopper looking at a dress can see that the review came from someone who bought size M in the same region.

When pros and cons are written in separate fields, they're easy to scan, and shoppers see the trade-offs in a second instead of searching the text for them. The AI summary uses them too.

On products with many reviews, shoppers can narrow the list:

• sort by newest, oldest, highest or lowest rating
• filter by star rating, by Verified Buyers, or by tags such as "Fits true to size"
• on a product that shares reviews with others, show only the reviews of this product

Each review can also get Helpful and Not helpful votes, so the most useful ones stand out.

Customers can comment on a review, and you can reply from the admin panel. Your replies carry a "store rep." badge, with your full name, first name or first name and initial, so shoppers see that the store answered.

When someone replies, the author of the comment gets an email, sent at once or as an hourly or daily digest. Every email has a one-click unsubscribe link.

A product with no reviews looks risky, even if the same item in another color has twenty. Review grouping shows the reviews of related products together:

• a configurable product and its variants, a grouped product and its items, or a bundle and its parts
• your own review groups, with products picked by hand or matched by attribute rules, for example every size of the same model

Each shared review says which product it was written for. For structured data, the extension pools the rating only for variants of the same product by default, so Google never shows a rating built from reviews of different products.

Tags label what a review is about: "Great value", "Runs small", "Arrived damaged". Public tags appear on reviews and as a filter for shoppers. Internal tags are visible only to you, for sorting and reporting.

A tag can be assigned automatically. Describe in plain words which reviews it should cover, such as "mentions the product arriving damaged", test the wording on your 10 latest reviews, and new reviews are tagged every 15 minutes. The extension can also read your existing reviews and suggest tags worth creating.

Three widgets put reviews on any page: a photo gallery, a masonry grid for a testimonials page, and an overall rating block. Each can show only reviews with certain tags, for example a "What customers say about the fit" block on a landing page.

On product pages, the extension adds review structured data (JSON-LD) with the aggregate rating and up to 20 reviews, which Google can use to show star ratings in search results. If another SEO extension already adds this markup, you can switch it off.

Bots are stopped before they reach your moderation queue: the review form works with Magento's built-in reCAPTCHA for reviews and also has a hidden field that only bots fill in. Everything else goes through Magento's review approval.

You can get an email and an admin notification about every new review, approve reviews from the grid, and see each reviewer's email.

Hyvä templates ship with the extension, so there is no separate compatibility package to install. Luma and Hyvä use the same templates, and the review list, form, AI summary, photo gallery, widgets and "My Product Reviews" look and work the same on both. Reviews are also available over GraphQL.

On large catalogs, the review list runs the same number of database queries whether it shows 5 reviews or 25 (40 instead of 112 for 25 reviews), and the rating summary query takes under 2 ms instead of 89 ms. The storefront and admin are translated into 15 languages.

This product includes GeoLite2 data created by MaxMind.