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Agent-Ready Product Catalog: product specs AI shopping agents can read

By Mike Schlottig, Founder, LEVERAGEAI LLC. Last updated .

An Agent-Ready Product Catalog publishes every product as facts an AI shopping agent can read in one request: what it is, who it is for, the price, and where to buy it. LEVERAGEAI builds them on Cloudflare Workers, using Workers AI to turn a merchant's raw specs into plain descriptions, and serves the result as an llms.txt file.

What does an AI agent read in Daley Organics' catalog?

On the left, the specs exactly as Daley Organics publishes them. On the right, the same facts rewritten for an AI shopping agent: a plain summary, the jobs each product does, what buyers compare, and facts an agent can quote with a price.

The descriptions are generated live by Workers AI from the left column only, checked against a schema, and cached. If the model is unavailable, a rules-based version built from the same facts takes its place until it responds.

Daley Organics: raw specs in, agent-ready descriptions out

Live data

What the catalog says

Premium growing media: The Elite Professional Blend

Price
$140 per yard; $300 per 2-yard tote
Fertilizer included
20 lbs fertilizer + 10 lbs 8-3-1 bat guano
Organic amendments
21, including fish meal
Release type
Slow and steady
Season
All seasons
Mycorrhiza
Included
Base texture
Lighter (coco + bio fiber)
Components
10% coco fiber, 35% peat moss, 25% perlite, 10% premium compost, 15% pumice, 5% bio fiber
Best for
Serious growers, Vegetable gardens, Cannabis cultivation, Premium container gardens

What an AI shopping agent reads

Loading the agent-ready version…

Source: daleyorganics.com/products, retrieved 2026-10-06. The full agent-ready catalog is served as /catalog/daley-organics/llms.txt.

Why do product specs need rewriting for AI agents?

Specs are written for experts who already know what they mean. An agent helping someone "find soil for raised vegetable beds near Grants Pass" needs the connection made for it: which blend, why, what it costs and where to get it.

A line like "20 lbs fertilizer + 10 lbs 8-3-1 bat guano" is precise but says nothing about tomatoes. The agent-ready version keeps the exact figure and adds the use it serves, so the agent can quote both. That is the approach of Cloudflare's commerce llms.txt template, applied here to a catalog that is not on Shopify.

How are the descriptions kept accurate?

Three rules. The model sees only the merchant's own facts. Its output must match a fixed structure or it is discarded. And every result is tied to a fingerprint of the source specs, so a price change produces a fresh description automatically.

  • The prompt forbids prices, certifications or delivery terms that are not in the catalog.
  • Each description is validated before it is cached in Cloudflare D1.
  • The agent-ready catalog points back to the merchant's own catalog page as the source of truth.

Accurate catalogs also help a business get named in AI answers, which LEVERAGEAI tracks with Mention Above Replacement.

Frequently asked questions

What is an agent-ready product catalog?

An agent-ready product catalog publishes each product as plain, structured facts an AI shopping agent can read in one request: what it is, who it is for, price, and where to buy it. LEVERAGEAI builds them on Cloudflare Workers with Workers AI.

How is an llms.txt product catalog different from a product page?

A product page is designed for people and often loads its details with scripts. An llms.txt catalog lists every product as Markdown text at one address, so an AI agent can read the whole catalog and quote exact prices without rendering anything.

Does Workers AI invent product details?

LEVERAGEAI's enrichment prompt allows only the facts in the merchant's own catalog and asks for no prices, certifications or delivery terms beyond them. Each result is checked against a schema and cached; if the model fails, a rules-based description from the same facts is used.

Which merchants can use an agent-ready product catalog?

Any merchant with a product list can, whether it lives on Shopify, in a spreadsheet or on a static website. Daley Organics in Grants Pass, Oregon, which sells soil blends by the yard and fertilizers by the tote, is LEVERAGEAI's working example.

Make your catalog agent-ready

Send a link to your product list or price sheet. LEVERAGEAI will show you how an AI shopping agent reads it today and what an agent-ready version would say.

Prefer to talk? Call (541) 450-2082, or visit the office at 744 NW Bellevue Pl, Grants Pass.

About the author

Mike Schlottig, Founder, LEVERAGEAI LLC

Mike Schlottig founded LEVERAGEAI LLC in Grants Pass, Oregon. He builds local search analytics and Cloudflare-based lead systems for service businesses along the I-5 corridor, and created RAR Grid Lab, the instrument behind Rank Above Replacement.

Reach him at (541) 450-2082 or at the LEVERAGEAI office, 744 NW Bellevue Pl, Grants Pass, OR 97526. More at leverageai.network.