Ecommerce Guides

Keep Shopify content fresh with a review calendar: products, policies, pricing, FAQ, and chat knowledge. Use triggers, owners, and re-test steps without fake lift claims.

Build a Shopify knowledge-base structure that separates products, policies, and support: ownership map, page tree, source-of-truth rules, and FAQ placement.

Track AI referral traffic in Shopify and GA4 step by step: referrer allowlist, saved reports, explorations, Search Console notes, and a weekly scorecard.

Keep Shopify AI product answers accurate after catalog edits: sync freshness, publish status, re-test, and what to do when prices, specs, or drafts change.

Find gaps in Shopify product descriptions using support questions, PDP tests, and a simple miss log, then fix the highest-traffic SKUs first.

Build a Shopify FAQ that cuts repeat tickets: mine real questions, keep policies and PDPs as source of truth, write clear Q&A, and link chat to the same answers.

Write Shopify shipping, returns, and store policies in plain language so customers and AI assistants can quote the same clear rules without legal fluff.

A Shopify product page checklist for what buyers need before checkout: title, variants, specs, fit, what’s included, shipping, returns, and clear text.

No: llms.txt is not a Google SEO or AI Overview requirement. Learn what it is, when it is optional, and what Shopify stores should do instead.

Make Shopify product pages clear for search and AI: plain-text specs, structured data that matches the page, internal links, and honest sources.

Prepare Shopify product titles, descriptions, variants, fit, care, and compatibility so AI chat can answer shoppers with store-true details.

Audit your Shopify catalog for AI chat: published status, titles, descriptions, variants, tags, and gaps that cause thin or wrong product answers.