Shopify Sidekick and Shopify Magic are Shopify’s built-in AI features. Magic generates and edits content inside the admin, such as product descriptions, email copy and image backgrounds. Sidekick is a conversational assistant that answers questions about the store, builds reports and carries out admin tasks on request. Agencies use them to cut routine work so more time goes into strategy and testing.
What does each tool do?
Shopify Magic is the umbrella name for generative features placed directly in admin screens. On a product page you can ask it to write or rewrite a description from a few keywords and choose a tone. In Shopify Email it drafts subject lines and body copy. In the media editor it can remove or replace image backgrounds. It also suggests replies in Shopify Inbox.
Sidekick sits in the admin as a chat assistant. You can ask it things like “which products sold best last month in Germany”, ask it to create a discount, draft a collection, explain a setting or build a segment of customers. Shopify has been expanding what it can do across admin areas, so the exact feature list depends on your plan and region at the time of writing.
Both are included with Shopify plans rather than sold as separate products, though availability of specific features can vary by language and market.
Where do they save the most time?
The value shows up in the repetitive middle of e-commerce work, not in the big strategic decisions.
- First drafts of product descriptions for large catalogues, which a copywriter then edits for brand voice and accuracy.
- Quick answers about sales, inventory and customer segments without building a custom report.
- Discount and automation setup by describing what you want instead of clicking through settings.
- Background cleanup on supplier product photos so a collection looks consistent.
- Email campaign drafts in Shopify Email that are ready for a human edit.
None of this replaces a merchandiser or a copywriter. It removes the blank page and the menu hunting.
Where do they fall short?
Magic writes plausible copy, but it does not know facts about your product that are not in the admin. If the description field says nothing about materials, Magic may invent a generic phrase that sounds right and is wrong. For regulated products such as cosmetics or supplements, every claim needs checking.
Sidekick’s answers are only as good as the store data. If orders are tagged inconsistently or products sit in the wrong collections, the analysis inherits those errors. It is also an admin assistant, not a replacement for proper analytics in GA4 or a BI tool when you need attribution across channels.
How Alien Road uses Shopify Sidekick and Shopify Magic in client campaigns
A typical engagement starts with an admin audit. The team checks product data completeness (titles, materials, sizes, care instructions, metafields), collection structure and tagging. Clean data is what makes both tools useful, so gaps are fixed first.
Catalogue copy
For catalogue work, the team writes a short brand voice brief and a template structure: opening benefit line, key specifications, use cases, care notes. Magic produces the first draft for each product from the filled fields, then an editor checks facts, adds SEO terms from keyword research and removes anything generic. Every edited description is reviewed against the product spec sheet before publishing.
Campaign preparation
Before a sale period, Sidekick is used to pull quick answers: top sellers by market, slow movers with high stock, customer segments that bought in the same window last year. Those answers feed the campaign plan. Discounts and segments are then set up, often through Sidekick, and double-checked in the settings screens before launch.
Email and creative
Shopify Email drafts from Magic become starting points for campaign emails. Product images with inconsistent backgrounds are cleaned in the media editor, while hero images for ads are still produced by designers.
Measurement and reporting
Time saved is logged per task type so the client can see where hours went. Commercial results are measured outside the tools: conversion rate by product page before and after copy updates, email revenue per send and campaign sales against the same period last year. The monthly report separates efficiency gains from revenue outcomes so neither is inflated.
What checks should come before publishing AI copy?
A short checklist keeps quality steady across large catalogues.
- Does every factual claim match the supplier spec or product label?
- Is the tone consistent with the brand voice brief?
- Are target keywords present naturally in the title and first lines?
- Is the description different enough from similar products to avoid near-duplicate pages?
- Are sizes, units and currencies right for each market?
- Has a human read the final version end to end?
How do these tools fit with the rest of the stack?
Shopify AI features cover the admin. Ads still run in Google Merchant Center, Google Ads and Meta, where product titles and descriptions flow through the feed. Better product copy in Shopify therefore improves feed quality too, which is a useful side effect. Analytics stays in GA4 and Shopify’s own reports, and email beyond simple campaigns often sits in Klaviyo.
Plan the order: data cleanup, then AI-assisted copy, then feed review, then campaign launch.
A short scenario: a seasonal launch
Picture a Turkish ceramics brand selling through Shopify to buyers in Turkey, Germany and the UK, preparing a spring collection of sixty new items. The supplier sheet has dimensions, glaze type and dishwasher safety, but the product pages are empty. Filling the fields first takes an afternoon. Magic then drafts sixty descriptions in a fraction of the time a copywriter would need to start from scratch, and the editor spends her hours on accuracy, voice and keyword placement instead of first drafts.
Before launch, a quick Sidekick question shows that last spring’s best sellers in Germany were serving bowls, not mugs. That shifts the hero products in the German email and ad plan. Neither tool made a strategic decision; both made the people faster at reaching one.
Where to start this week
Open five of your best-selling product pages and check how complete their fields are. Fill in materials, dimensions and use cases. Then ask Magic for a new description on one of them, edit it against your brand voice and compare its conversion rate over the next few weeks with a similar product you leave unchanged. That small test will tell you more than any feature list.