REVIEW INTELLIGENCE
Your reviews are doing one job. AI needs them to do another.
Reviews have always helped build trust. Now they also need to give AI the decision-useful context to compare and recommend your products. Canonica turns your reviews into Product Intelligence and shows you what to ask customers next.
No store access required. Works with your review platform.
Your reviews already contain details that help buyers choose.
Customers often reveal how products fit, perform in real use, where they work well and where they fall short. But those details are scattered across individual comments and rarely make it back into your product information.
Canonica finds the recurring patterns that matter to the buying decision and turns them into Product Intelligence AI can use to evaluate, compare and recommend your products.
High review volume. Low decision signal.
The problem is that this useful detail isn’t captured consistently. Your products can have thousands of reviews and five star ratings and still reveal very little about whether they’re right for a specific buyer or need.
“Love it” signals satisfaction. It doesn’t show who the product suits, how it performs or where it falls short.
“Great on wet, rocky trails, but I had to go up half a size” is different. It gives AI useful information about grip, sizing and fit — the kind of detail it can use to compare products and judge who they suit. Most customers won’t provide that detail unless you ask for it.
OUR PROCESS
The best review analysis starts before the reviews.
Everything you need to know before you start.
No. Most review-analysis tools tell you what customers like, dislike or mention most often. Review Intelligence goes further.
We first work out what actually matters when someone is choosing the product. Then we analyse your reviews against those buying decisions to uncover recurring experiences, differences between buyers or use cases, limitations, expectation gaps and where customer experience supports or challenges what you currently say about the product.
Those findings are turned into specific changes across your product information, product pages, buying content and future review collection.
The difference is not simply analysing more reviews. It is knowing what matters, what the reviews actually tell you and what your business should do with it.
Because AI doesn’t just rely on your catalog and product page to understand, assess and recommend your products. It also uses what customers say about your products to see whether customer experience supports your claims, who the product suits, how it performs in real use and where its limitations are.
That matters because AI is increasingly helping buyers narrow the shortlist before they ever reach your site. If your reviews are vague, AI has less to distinguish your product from similar options or judge whether it is right for a particular buyer. Rich, specific reviews give your products a stronger case to be understood, compared and recommended.
Most platforms let you add custom review questions. That isn’t the hard part. The value is knowing which few questions will uncover the product details that actually shape the buying decision — who it suits, how it performs, where it falls short and what changes by buyer or use case. Those are rarely obvious, and asking the wrong questions just gives you more data without better answers.
Canonica works out what matters in the buying decision, what your existing reviews already tell you and what is still missing. We then design the few questions customers are best placed to answer. The platform gives you the form. The value is knowing what to ask so your reviews become a stronger source of product information for buyers and AI.
It’s the opposite. A blank “write us a review” box is the hardest thing to face — most people don’t know what to say, so they don’t bother. That blank page is what kills review volume in the first place. A dropdown asks nothing but a tap. Even the customer who writes nothing more than “love it” can still tell you Fit: Narrow, Grip: Excellent, Runs small because it takes almost no thought.
We don’t take away the free-form review box. The structured questions sit alongside it, so customers can still write whatever they want while giving you useful product detail they may never have thought to mention on their own.
The framework is deliberately short: normally just a few high-value questions, never a survey. You’re not adding friction. You’re giving customers more guidance and capturing useful product detail even when the written review itself is brief.
The goal is not to turn your review request into a survey. It is to collect more useful product detail with as little additional customer effort as possible.
Very little. For most engagements, we need the product you want analysed, its URL or SKU, an export of your reviews and your current review setup. We do the analysis. If you have return reasons, warranty or support data, or existing customer research, you can send that too — but it isn’t required. No store access is needed.
We can work with Okendo, Yotpo, Judge.me and Stamped, as well as review exports from other platforms. If you use something else, we can work from your export and design the recommended questions around what your platform supports.
The value is not the review software. It is knowing what your customers need to be asked and what to do with the information you already have.
Review Intelligence can help reduce avoidable returns by making fit, limitations and expectations clearer before purchase. It turns recurring review problems into better product information, helping buyers recognise when a product is or isn’t right for them.
If usable return data is available, we can also check whether the same issues appear in your return reasons. On a best selling product, preventing even a small number of avoidable mismatches can matter commercially.