
LIVE DEMO
Claude
Context loaded: Merchandising · Clive Coffee. Shopify catalog (412 SKUs), brand voice, taxonomy, pricing strategy, and Klaviyo + Google Search Console access loaded. Write access to Shopify is gated by approval.
You
Pull the 25 products with the weakest descriptions. Draft on-brand rewrites with SEO meta — queue everything for approval.
Claude
Scanning catalog… 25 candidates identified by length, schema coverage, and click-through rate from Search Console. Drafted: full HTML descriptions, optimized titles, and meta descriptions for each — all in Clive's tone. 25 items queued in the Product Optimizer approval feed. Nothing is published yet.
The catalog never stops growing. The team rarely does.
Half the catalog reads like it was written by a different brand. SEO meta is missing on a third of products. Nobody has the bandwidth to fix it manually.
Out-of-the-box AI writes copy that sounds like Amazon. It doesn't know your brand voice, your customer, or what makes your products different.
One bad prompt could push broken copy live to thousands of products. Without approval gates, AI in your catalog is a liability.
CAPABILITIES
Catalog-scale work. Brand-voice consistent. Approval-gated by default.
Generate brand-voice product descriptions across hundreds of SKUs. Reviewed in a queue. Published only on approval.

Pull from Search Console to identify weak ranking pages. Draft new titles and meta descriptions optimized for the right keywords.

Generate 5–8 customer-quality Q&A pairs for each product — pulled from real support tickets and reviews where possible.

Identify products missing images, attributes, schema markup, or category tags. Surface the catalog hygiene work that nobody sees.

Suggest collection groupings, cross-sell pairs, and merchandising stories grounded in actual order data from Shopify.
Reframe existing catalog copy for seasonal campaigns without rewriting from scratch.
Pull competitor product pages, surface positioning gaps, and recommend tonal shifts to differentiate.
Compare Shopify catalog against NetSuite or Acumatica. Flag pricing, SKU, or inventory mismatches before they break the storefront.
Because the context is already there.
"Pull the 50 lowest-converting product pages from Shopify. Identify which ones have weak titles or thin descriptions. Queue rewrites."
"Generate 5 FAQ pairs per product for our top 100 SKUs. Use Intercom ticket history for grounding. Queue all for review."
"Find every product missing meta description or schema markup. Draft and queue the missing fields."
"Build a Spring Refresh collection — 30 products, drafted collection copy and reorder suggestions."
Your storefront is not a place to learn from AI mistakes.
Every product, collection, blog post, and meta change lands in an approval queue. Bulk approve, edit, or reject — nothing goes live to your storefront until a human says yes.
Brand voice is enforced at the group level. Individual prompts cannot override the tone your customers expect.
Claude only writes to product fields scoped for the merchandising group. Pricing, inventory, and order data stay read-only unless explicitly elevated.