DEV3 AI Review Summarizer & Sentiment Analyzer for WooCommerce

WooCommerce plugin: it turns a product's approved reviews into pros and cons, a sentiment bar, quality, value and fit scores, treating every review as untrusted data and calling the AI only when the review set changes. Free download: sign in and click Download ZIP. Add your own Google AI Studio (Gemini) API key to switch on the AI features; the documentation says which features work without one.

How it works

We built DEV3 AI Review Summarizer & Sentiment Analyzer as a WooCommerce plugin in PHP, with a React admin and a server-rendered storefront widget, using the Google Gemini API through a shared core used across DEV3's plugins.

Key design decisions

• Reviews are data, never instructions. Reviews are sent as a JSON array inside a <reviews> fence, encoded with JSON_HEX_TAG so no review can close the fence. The system instruction tells the model to ignore instructions inside it and to list such reviews in a flagged array.
• Personal data stays on the site. Only review text, star rating, month and the verified-owner flag are sent. Reviewer names, emails and IPs never leave WordPress, and emails, phone numbers and links inside review text are redacted first.
• Structured output with hard limits. The response schema gives every free-text string a maxLength, enums for fit and keyword sentiment, and ranges for scores and shares. A PHP parser re-sanitises the answer anyway: tags and links stripped, sentiment rescaled to exactly 100 with largest-remainder rounding, out-of-range flags dropped.
• Fingerprint, don't poll. A hash of review IDs, text hashes and ratings, plus language, locale and prompt version, is stored with each summary. An unchanged review set is skipped without an API call.
• Debounced background work. New, approved, edited or deleted reviews queue one Action Scheduler job per product (with a WP-Cron fallback); a nightly sweep refreshes only stale and missing summaries, spaced 20 seconds apart.
• Moderator locks. Staff can edit any field and save and lock. Locked summaries are never regenerated automatically, and the admin shows which reviews the AI flagged.

Architecture

Summaries live in product meta with their fingerprint, model, token count and flagged review IDs. The storefront widget is server-rendered and escaped, can be placed above the reviews, below Add to cart, in its own tab, through a shortcode or a dynamic block, and loads about 6 KB of CSS and no JavaScript. It renders nothing when a product has no summary and never prints schema.org ratings. The admin Products screen shows fresh, stale, locked and missing summaries, with bulk generate and a live progress bar.

What's in the download

• The installable plugin zip: upload it through Plugins → Add New → Upload Plugin.
• Full HTML documentation (installation, settings, hooks, FAQ).

Requirements

• WordPress 6.0 or newer and PHP 7.4 or newer
• WooCommerce 7.0 or newer, active
• A Google Gemini API key (free tier available)

Learn more

• How we built it: the AI Review Summarizer case study
• Engineering write-up on the DEV3 blog
• Also free in the DEV3 AI WooCommerce Plugins Bundle with every other WooCommerce plugin.