Canonika

Deep Product Intelligence for AI Commerce

AI is recommending your competitors. Not because their products are better. Because their data is.

Canonika builds the product intelligence layer your brand is missing so AI platforms like ChatGPT can understand, compare and recommend your products to buyers who are ready to purchase.

Valued at $1,500. Limited availability.

AI visibility — how AI agents decide which products to recommend

4700%

Growth in AI-driven traffic to retail sites year-over-year

Source: Adobe Insights 2025

15X

Increase in orders originating from AI searches on Shopify

Source: Shopify

4 in 5

Of merchants can see AI agents crawling their store. Only 1 in 5 has data those agents can act on.

Source: PayPal Agentic Commerce Survey

$20.9B

Projected AI-platform retail sales in 2026 — four times the prior year

Source: eMarketer

The Problem

Most catalogs were built to display products. Fewer were built to explain products. Fewer still were built to help machines reason about products.

For decades that was fine. Buyers did the reasoning themselves. They clicked through, compared, read descriptions, and decided. Your catalog just needed to
get the product in front of them.That job has changed.AI agents don't browse. They evaluate. When a buyer asks which espresso machine suits a beginner who mostly drinks lattes, or which trail shoe performs on wet rocky descents, the agent evaluates every option it can find and recommends the best match.Most catalogs can't do that. Not because they're poorly built. Because they were built for a different era.

Illustration of an ecommerce product grid showing trail shoes with basic product information such as images and prices. Beside it, an AI evaluation panel asks which trail shoe works on wet rocky descents, but key details like grip, stability, waterproofing

The Distinction

Product data tells machines what your product is. Product intelligence tells them when to recommend it.

Product data is the foundation. Title, price, SKU, size, colour, material, availability. Every serious ecommerce business needs it and has it.But a feed only moves data. It doesn't make data useful. And in AI-assisted commerce, useful means something specific: can an agent evaluate this product against a buyer's actual question and recommend it with confidence?Standard product data answers: what is it? Product intelligence answers: is this the right product for this buyer, this use case, this condition, this comparison?That is a different problem. And most catalogs have never tried to solve it.Good enough data is the same as zero data.

Comparison graphic showing product data on one side and product intelligence on the other. Product data includes basic fields such as title, price, SKU, size, colour, and availability. Product intelligence includes deeper decision signals such as use case,

Why now

In the AI commerce era, your data is your sales rep.

Buyers in your category are already using ChatGPT, Perplexity, and Google AI to decide what to buy. The agents evaluating your products aren't coming. They're here. Every day that gap exists, your competitors are getting recommended instead of you.That's today's problem.Soon agents won't just recommend. They'll complete the purchase on the buyer's behalf — without the buyer ever visiting your product page. If that sales rep is guessing or hallucinating facts, it will never close the deal.That's tomorrow's problem.Both problems require the same foundation: deep product intelligence that makes your products understood, comparable and recommended.

How we fix it

Three services. One standard.

Start with the audit. Build from there.

01 - Diagnose

AI Commerce Readiness Audit

Discover whether your brand is ready to be understood, trusted, and recommended by AI systems — and what to fix first.

Most AI audits focus on whether your brand shows up.Canonika looks at whether your ecommerce brand has the foundations AI systems need to understand, verify, compare, and recommend your products.Visibility is not the whole problem. A brand can be discoverable and still be poorly understood. A product can be indexed and still lack the data AI systems need to compare it, verify its claims, or recommend it for the right buyer intent.This audit diagnoses the foundations underneath AI commerce readiness.We review your brand clarity, trust signals, review visibility, return and shipping policies, offer accuracy, product specification depth, claim evidence, product data structure, and buyer-intent alignment.You get a clear verdict:What is working.
What is weak.
What is missing.
What to fix first.No generic visibility score.No vague AI-readiness checklist.A prioritised action plan backed by evidence from your actual store.Delivered in five business days. No platform access required.Works across Shopify, WooCommerce, BigCommerce, and custom stacks.

Audit report showing failed trust signals for Shopify store

Valued at $1,500. Limited availability.

02 — BUILD

Product Intelligence

Build the product intelligence layer your highest-value products are missing.

You choose the products. Canonika builds the intelligence layer.For each selected product, we define the attributes AI systems need to understand when, why, and for whom it should be recommended.This includes suitability, use cases, buyer fit, trade-offs, review signals, claim cautions, and the queries each product should credibly match.This is not generic enrichment or a longer list of fields.It is evidence-informed Product Intelligence built around how buyers in your category actually choose.Most clients start with 5, 10, or 20 priority products.Canonika provides the intelligence. Your team implements it across your catalog, product pages, PIM, feeds, search tools, or ecommerce platform.

03 - Strengthen

Review Intelligence

Turn what your customers say into product intelligence agents can act on.

"Love it!" tells an agent nothing. "Fits wide. Strong on wet rock. Not recommended for deep mud." gives agents specific details they can match to buyer queries.Most reviews are full of sentiment and empty of product intelligence. Canonika identifies which product details buyers search for in your category, then builds review frameworks that consistently capture those specifics.The result is a growing layer of customer-generated intelligence that compounds over time.Works with Okendo, Yotpo, Judge.me, and Stamped. No developer required. Available standalone or alongside the Product Intelligence Package.

Start here

Find out exactly where you stand.

AI agents are now deciding what customers buy. Most Shopify stores aren't ready.The right first step is knowing exactly where you stand: an honest diagnosis of what's stopping AI agents from recommending you, and a prioritised call on what to fix first.That's what the AI Visibility Audit delivers. In five business days.

Limited time only. No commitment required.