Keyword Research (Shopify App)
Discover the keywords your Shopify store already revolves around — from your catalogue and your published pages — then send your picks to Blog Topics.
Keyword research in the Shopify app The Keywords tool surfaces the words your store is already built around so you can use them as seeds for smart, on-brand blog topics. It pulls from two sources: your product and collection catalogue, and an on-demand crawl of your published storefront. Keyword research is part of the Essential plan, alongside Brand voice and the AI Blog Writer. The two sources From your catalogue — tokenised from product and collection titles and descriptions. Instant. Refresh anytime as your catalogue grows.. From your site — the QueryCatch SEO engine crawls up to 25 of your store's published pages and extracts the keywords they cluster around. Takes ~30 seconds. Picking keywords and sending to Blog Topics Open Keywords from the QueryCatch in-app navigation. Switch between the From your catalogue and From your site tabs. Tick the boxes next to the keywords you'd like to seed posts with. Tap Send to Blog Topics — Blog Topics opens with your picks already filled in. Generate topics from there and pick the one you want to write Brand voice you've set in the Brand tool is applied automatically to the topics Blog Topics suggests — you don't have to remember to enable anything. What the columns mean Catalogue rows — "N mentions · product + collection" tells you how often the term shows up in your catalogue and where. On-site rows — "N hits · density % · M pages" tells you total occurrences, average keyword density across pages, and how many pages it appears on Limits in this version Crawl is capped at 25 pages per run (sitemap-first, catalogue fallback) to stay under the embedded app's 60-second request budget. Password-protected dev stores will return no on-site keywords — connect a public storefront to crawl it. Real search-volume data (Google Ads) is not used in this version — keyword rankings reflect on-site signal onlyDocumentation
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