A B2B Catalog Built to Be Read by AI From Day One
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Most B2B stores find out they're invisible to AI agents the expensive way. A buyer asks ChatGPT who supplies a category wholesale, the agent names three competitors, and the store that actually stocks the widest range isn't one of them. Then the retrofit starts: finding every empty guest category, every missing piece of structured data, every place the catalog told a machine nothing.
There's a cheaper version. Build the store so an agent can read it from the first day it's live.
#What "agent-visible" actually means for B2B
An AI shopping agent shows up the way a brand-new visitor does: logged out, no account, in no customer group. On a lot of B2B builds that means it hits a login wall, an empty category, or one retail price that isn't what your buyers pay. The agent can only recommend what it can read, so it reads nothing and moves on.
Agent-visible means the logged-out layer carries three true signals even though the pricing stays gated:
- the product exists, with a name and category a machine can parse
- you are an authorized seller of it, stated in structured data, not just implied by a logo
- there's a door to the real price, a trade or wholesale account, rather than a blank where a number should be
None of that publishes your wholesale pricing. It just stops leaving silence where an agent expects a signal.
#Built in, not bolted on
We ran this as the default on a B2B distributor we build and operate, Oroca, rather than a fix applied later. From the first day the catalog was live, the guest-readable pages rendered real content, the entity and seller-authority signals were in the structured data, and the category pages said what the business sells and who it sells to. There was no period where the store existed but the agents couldn't see it, because the readable layer shipped with the store.
#The number that came out of it
Measured weekly across ChatGPT, Perplexity and Google AI Mode on the same set of category buyer prompts, Oroca went from 0 to 45.0% share of voice in its category. That's the outright number one of six named competitors, more than the next three combined, with the brand named in roughly 82% of category answers. The point isn't the size of the number. It's that the climb started from a store that was readable on day one, so the share of voice accumulated instead of being clawed back after a retrofit.
#What this means if you're already live
If your B2B store is already in production, you don't get the day-one version, but the signals are the same. The work is finding where the guest layer goes silent and giving it something true to read, which is what the companion pieces below walk through for Magento specifically. The lesson from building it in from the start is simpler: an agent is now one of your readers, and a catalog that was only ever written for logged-in humans is a catalog that reader can't use.
Run the free AI Correctness Quick Check to see what an agent reads on your store logged out: luma-e.com/ai-readiness. No call required.