Shopify product feed on autopilot:
categorised, described, kept current
We audited a live Shopify store and found 81% of products sitting outside any category, and no reviews wired in anywhere on the storefront. That is the kind of feed rot that happens gradually as a catalogue grows past what one person can maintain by hand. We build enrichment that fixes this once and keeps it from drifting back.
Why a catalogue drifts out of shape
A Shopify catalogue that grows product by product, added whenever there is time, tends to drift. Some products get a full category and description. Others get added quickly during a launch rush and never get finished. Months later, a meaningful share of the catalogue sits outside any real category structure, invisible to on-site search filters and harder for customers to browse.
Descriptions drift the same way. Some products have a full, well-written description. Others have a single line copied from a supplier spec sheet. A customer comparing two similar products sees a store that looks unfinished on one side.
Then there is compliance drift in regulated categories, supplements, cosmetics, anything with required disclosures. A missing regulatory number stays invisible until a platform or a regulator flags it, usually at the worst possible time.
What gets audited and fixed
The agent audits the current catalogue against your actual taxonomy, and flags every product missing a category, a required attribute, or a complete description. This is the kind of audit that found 81% of a real store’s catalogue outside any category before we fixed it. It then categorises against rules tuned to your store, and drafts missing descriptions from your existing product data and supplier copy. It also fills attribute gaps like size, material or compliance fields.
Every AI-assisted description is reviewed by a person before it replaces a live listing, so nothing publishes that oversells a product or invents a spec. Once the backlog is cleared, an ongoing check runs on new products as they are added, catching the same drift before it builds up again.
Typical setup: Shopify’s Admin API and product feed, your taxonomy and supplier data, and a review queue for AI-drafted copy.
Before any of this runs on its own, we map the real catalogue workflow with the people who maintain it today. Every exception gets included, not just the clean cases. Rules and drafts get built and tested against a sample of your actual products, then run as a dry run before anything touches the live feed. Your team keeps the logs, a kill switch, and a short written guide. The 30-day tuning window after launch is treated as real work. Thresholds and edge cases get adjusted against what the first weeks actually show.
What your team still approves
Approving every description before it goes live, and any decision about product claims that touch regulatory or compliance language, stay with your team. The agent drafts and categorises from what it is given. It never adds a claim or a specification that is not already documented somewhere in your product data.
Guards
No AI-drafted description or attribute change publishes without a human review step. The categorisation rules run against a sample of your real catalogue before touching the live feed, and a before-and-after report shows exactly what changed. A kill switch reverts the ongoing check in one message if a new product rule misfires.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $700 | One store, categorisation cleanup, description drafts, attribute enrichment | 5 to 10 days |
| Department package | from $2,500 | Full catalogue rebuild into new product lines, ongoing feed governance | 2 to 4 weeks |
Running cost is usually $20 to $100 a month in model usage depending on volume, with a budget cap set before launch.
Related
Pair this with Shopify order tagging and workflows and product descriptions at scale. See image alt text and tagging for a related process. The full package breakdown is on the AI agents service page and the automation-everything overview.
Ready to see what this looks like for your stack? Get in touch and we will map the integration in the first call.
Tired of doing this by hand? We can take the whole routine off your team, not only this step: Routine takeover, from $400 →
FAQ
How much does Shopify feed enrichment cost?
From $700 for an audit and cleanup of categorisation and core attributes, live in 5 to 10 days. A full catalogue rebuild into new product lines, the kind we did for a supplements brand, sits in our e-commerce package.
What did you actually find auditing a live store?
On one real audit, 81% of products sat outside any category and there were no product reviews live anywhere on the site. We fixed the categorisation and flagged the rest for the client to action.
Does the AI write descriptions from nothing?
No. It drafts from your existing product data, specs and any supplier copy you provide. A person reviews every draft before it replaces a live listing. It does not invent specifications that are not in your source material.
How do you stop the feed from drifting back into disorder?
An ongoing check runs on new products as they are added. It flags anything missing a category or required attribute before it goes live, instead of relying on someone remembering to categorise it manually.
Will this affect our SEO?
Consistent categorisation and complete attributes generally help product and category page SEO, since search engines and on-site search both rely on that structure. We do not promise a ranking outcome.