AI search optimization for your catalog.

Buyers now ask questions like "which waterproof jacket is good for a 10 km commute" in ChatGPT, in Google's AI Mode and in Perplexity. The systems that answer them read the same raw material your store already holds: titles, descriptions, attributes, prices, availability, reviews and markup. When that material is thin, contradictory or missing, you are harder to match and easier to describe wrongly.

We do the catalog-level work that fixes this. We do not sell link building, and we do not promise to put you in an AI answer. Nobody controls those answers. What can be controlled is whether your data is complete, consistent and easy to read.

What you get

• Complete, consistent attributes. Material, size, colour, dimensions, compatibility, age or gender group, GTIN and brand filled and normalised across the catalog, so the same thing is not written three ways.
• Titles and descriptions that answer buyer questions. What it is, who it suits, what it is made of, what it fits, what it does not do. Written for people first, then checked for the terms shoppers use.
• Product and Offer structured data fields. We prepare the values (price, currency, availability, identifiers, brand, shipping and return details where you have them) and supply them for your theme or developer to output. We do not rewrite your theme unless you ask.
• A clean Merchant Center feed. Google's shopping experiences draw on Merchant Center data, so disapprovals, missing identifiers and price or availability mismatches are fixed at the source.
• FAQ content on product and collection pages. Real buyer questions answered in plain text on the page, drafted from your own specs, policies and support history, then approved by you.
• llms.txt and crawler access checks. We review robots.txt, CDN and firewall rules against the documented crawlers (Googlebot, OAI-SearchBot, PerplexityBot), and add an llms.txt file if you want one. Google states that AI features need no special AI text files, so treat llms.txt as optional housekeeping.
• Feeding AI shopping programs where available. Only the programs we have verified against their own documentation, described below.
• An audit report. What we found, what we changed, and what sits outside the catalog and needs your developer.

How it works

1. You share a product export or staff access, and Merchant Center access if you use it.
2. We audit the catalog, feed and a sample of pages, and send a fixed quote with the findings.
3. Our AI engine does the volume work (normalising attributes, drafting descriptions and FAQs); a person reviews every output.
4. You approve changes on a draft or staging state, plus the structured data values and robots.txt recommendations.
5. We publish, resubmit the feed and give you a change report.

What the platforms actually document

This is where most agency pages drift into promises, so here is what we can stand behind.

Programs change, and some are invitation-only or limited to certain countries. We check current terms at the start of your project and tell you plainly if a program is not open to you.

Platform notes that matter

On Shopify, product data reaches AI channels through Shopify Catalog, so what is in your product fields, metafields and policies is what gets read. Required legal text belongs inside the first 6,000 characters of a description. On WooCommerce, Magento and BigCommerce there is no equivalent automatic route into ChatGPT, so a feed built to OpenAI's spec, where you are accepted, is the realistic path. Everywhere, variants matter: each variant needs its own identifier and a shared group, which is also how Merchant Center expects them.

Pricing

Catalog cleanup starts from the prices below, covering up to 250 products. We give a fixed quote after we inspect your catalog and feed, before any work starts. See /pricing for all services.

Feed setup for an additional channel starts from ₹7,999 / $299 / £239 / A$449. Larger catalogs are quoted individually.

Is this a fit?

It suits stores with a few hundred to several thousand products whose data is patchy: missing attributes, supplier copy pasted straight in, a Merchant Center account full of warnings. It also suits agencies that need the data side handled for a client.

If your catalog is small and already clean, you can do most of this yourself with the checklist in our guide to AI search for ecommerce. If you want ranked-content strategy or link acquisition, look at our ecommerce SEO services or a specialist provider. If someone promises a guaranteed spot in AI answers, be wary.

Start with a free 10-product sample, or request a quote at /get-started. For the feed side alone, see /product-feed-management and /catalog-cleanup.