Paylane earned 7 ChatGPT citations
Hello, ChatGPT.
Store SEO is mostly a data problem at scale. Thousands of product pages share templates, so one fix to the template fixes them all, and one mistake repeats everywhere. These are the six areas Scaplet works on for stores, in the order they usually pay off.
Product, Offer and AggregateRating markup is what makes price, stock and stars show in Google results and what AI shopping answers read. Many themes ship partial schema: no GTIN, no brand, no return policy. Fixing the template upgrades every product at once.
Filters and sort options create thousands of URLs with the same products in a different order. Google splits ranking signals between them, and crawl budget goes to pages nobody searches for. Canonicals, noindex on thin filter combinations, and a few indexable filter pages for real searches fix this.
Manufacturer descriptions appear on hundreds of other stores. Rewriting every product is unrealistic, so the work starts with the products that have impressions but low clicks, and the ones AI engines are asked about.
Shoppers ask "best trail running shoes for wide feet" before they pick a store. Buying guides answer those questions, rank for them, and are the pages AI engines cite when recommending products.
Deleting a sold-out product throws away its rankings and backlinks. Keeping it live with no path forward frustrates shoppers. The right move depends on whether it is coming back.
ChatGPT, Perplexity and Google AI Mode now answer product questions with specific items and stores. They pull from product feeds, schema, review sites and editorial roundups.
Every week links break, pages go stale and a rival publishes another listicle. An audit catches it once. Scaplet Search catches it every day, and doesn't sigh about it.
On top of the standard technical audit, these are the issues we see most often in this category.
Most of it happens without you. The rest takes a tap.
Yes. It connects directly and only touches SEO fields and descriptions you approve.
It starts where the search demand is and works down the catalog.
Yes. WooCommerce, BigCommerce and headless stores on Next.js are supported. Headless changes ship as pull requests.
Never. It only edits SEO fields, descriptions you approve, schema and redirects.
By clicks at stake: impressions from Search Console multiplied by the click gain from better position or snippet. The long tail comes later.
It flags mismatches between your feed and on-page schema and fixes the on-page side. Feed edits stay with your team or feed tool.
It checks hreflang and per-market canonicals and fixes them in your platform's settings.