Structuring Your Store's Data for the AI Era — What Google's Open Knowledge Format Means for Shopify Merchants

If you've spent the last year hearing that AI agents will soon discover, compare and recommend your products, here's the quieter question underneath all of it: when an AI reads about your business, what exactly is it reading? On 12 June 2026, Google Cloud published the Open Knowledge Format (OKF) — an open, vendor-neutral way to store organisational knowledge so that both people and AI agents can read it. It isn't a Shopify feature, and it isn't only about eCommerce. But the principle behind it is one every Australian online retailer should understand, because the businesses that structure their data well now will be the ones AI tools represent accurately later.

What the Open Knowledge Format actually is

OKF is refreshingly unglamorous, and that's the point. Instead of a new platform or paid SDK, it's simply a folder of plain markdown files, each describing one "concept" — a product table, a metric, a returns policy, a process. Each file carries a small block of structured metadata at the top and human-readable notes below. As Google puts it, if you can open a file you can read OKF; if you can clone a repository you can share it.

The only mandatory field is the "type" of thing being described. Google has released the v0.1 spec, two reference tools and three sample data bundles on GitHub, and updated its own Knowledge Catalog to read the format. The bet is that a shared, simple format becomes a common language for the knowledge AI agents rely on.

Why this matters well beyond your storefront

The problem OKF solves is one most growing businesses recognise. Critical knowledge — how a metric is calculated, what a product attribute means, which policy applies — ends up scattered across spreadsheets, app settings, email threads and a few people's heads. Humans muddle through. AI agents can't.

What Shopify merchants can do about it now

You don't need to implement OKF to benefit from its thinking. Start where AI already touches your store: your product data. Make sure titles describe what an item actually is, not just a brand or style name; fill out every structured attribute field in your Shopify admin; and keep specifications, materials and sizing accurate and consistent.

Next, document the policies agents and customers ask about most — shipping times, returns, warranty, GST and delivery to regional Australia — in clear, plain language rather than scattered PDFs. Then tighten your definitions: if "best seller", "in stock" or "lead time" mean specific things in your business, write them down once and use them everywhere.

Merchants who treat product and policy data as a single, well-maintained source of truth will be far easier for AI agents to represent correctly — and far less likely to be misquoted to a ready-to-buy shopper.

Google's Open Knowledge Format is aimed at data teams, but its message lands squarely on eCommerce: in an AI-mediated market, structured, trustworthy data is becoming as important as good design or fast shipping. The stores that win the next few years will be the ones whose information is clean enough for a machine to rely on. At beCommerce, we help Australian Shopify merchants get there — auditing product data quality, tightening structured attributes, and making store knowledge readable for the AI tools that increasingly stand between you and your customers. If you want to know how AI-ready your store really is, talk to the team at beCommerce — that audit is the place to start.