Shopify Magic is the set of AI features built into Shopify for writing product descriptions, emails, images and more, while Sidekick is the AI assistant inside the Shopify admin that answers questions and can carry out tasks in the store. Both save time on routine work. Before a team relies on them, it should set rules on accuracy checks, who may make changes and what data the assistant touches.
What do Sidekick and Shopify Magic actually do?
Shopify Magic appears in many places: generating product descriptions from a few keywords, writing email subject lines in Shopify Email, editing product image backgrounds, drafting blog posts and suggesting replies in Shopify Inbox. It is included in Shopify plans at no extra charge at the time of writing.
Sidekick sits in the admin and responds to plain-language requests. Merchants can ask it to explain sales trends, create discount codes, build customer segments, write content or walk through settings. Its abilities have expanded over time, including taking actions on the merchant’s behalf, so check the current Shopify help centre for what it can do on your plan.
Both work on your store data. That is their strength, since answers reflect your products and orders, and also the reason to set rules.
What are the main risks for merchants?
- Inaccurate product copy: generated descriptions can add features, materials or benefits the product does not have.
- Unchecked changes: an assistant that can create discounts or edit products can make mistakes at scale.
- Misread analytics: summaries of sales data may simplify or misstate trends.
- Generic content: many stores using the same tool end up with similar descriptions.
- Regulated claims: health, cosmetics, supplements and children’s products have strict labelling and advertising rules.
- Image edits that misrepresent: background changes are fine; altering the product itself is not.
Product copy risk is the most common. A description that says “waterproof” when the product is only water-resistant leads to returns, bad reviews and, in some markets, consumer protection complaints.
Where are the limits?
Shopify Magic writes from what you give it. Thin input produces thin, generic output. It does not know your supplier’s spec sheet unless you paste the details in, and it cannot check claims against reality.
Sidekick is bounded by the data and permissions in your store. It cannot see data from apps that do not share it, from your ad platforms unless connected, or from offline sales. When it answers a question about performance, it answers from Shopify’s view only.
Language support varies. Results in Turkish, German or Russian can be weaker than in English, so stores selling in several languages should review each version, or write in one language and translate with a separate checked process.
Which governance rules should you set first?
Staff permissions
Shopify lets you set staff permissions in Settings > Users and permissions. Limit who can edit products, prices and discounts. Anyone who can make those changes manually can make them through Sidekick too, so permissions are your first control.
Review before publish
Every AI-written product description, email and blog post gets checked against the product data before publishing. For new products, compare the copy with the supplier specification line by line for claims about materials, sizes, safety and care.
Change log
When Sidekick creates discounts, segments or edits, note them in a shared log with the date and person. Shopify’s own admin activity is useful but a simple team log is easier to scan when something looks wrong.
Data checks
Confirm important numbers in Shopify Analytics reports before acting on a Sidekick summary. Treat its answers as a starting point for investigation, not a final figure.
How do you get better output from Shopify Magic?
- Give detailed input: materials, dimensions, use cases, care instructions, who it is for.
- Set a tone in the prompt and keep an example description from your best-selling product to compare.
- Edit for specificity: add one detail only your brand would mention.
- Keep SEO basics: a clear product name in the title and first sentence, unique descriptions per product.
- Write image alt text that describes the actual product, not marketing phrases.
How Alien Road applies Shopify Sidekick and Shopify Magic
Our e-commerce team begins with a store review: staff permissions, product data quality and how descriptions are currently written. Weak supplier data is the usual bottleneck, so we often build a product information template first.
Setup means agreeing on the review rules above, assigning permissions, and creating prompt templates per product type for Shopify Magic. Sidekick is introduced for analysis and admin help, with changes logged.
Measurement covers time to list new products, return reasons related to descriptions, and organic traffic to product pages. If AI copy leads to more description-related returns, the review step is tightened.
What about apps that add more AI?
The Shopify App Store has many AI apps for descriptions, reviews, chat and search. Each one is a separate data processor. Before installing, check which store data the app requests in its permissions, where the vendor is based, and how it handles customer information under GDPR or KVKK. Fewer apps with clear purposes are easier to govern than many overlapping ones.
How should you handle customer-facing AI replies?
Shopify Inbox can suggest replies to customer messages. Suggested replies are useful for order status and shipping questions, but anything involving refunds, damaged goods or complaints should be written or approved by a person. A wrong promise in a chat message is still a promise from the store.
Set a simple rule for the team: AI suggestions may be sent unchanged only for factual answers that can be checked in the order, such as tracking links. Everything else gets a human edit. Review a sample of sent replies each month to see whether the rule holds.
Where to start this week
Open Settings > Users and permissions in your Shopify admin and check who can edit products, prices and discounts. Then pick your ten newest products and compare their descriptions with the supplier specs. Note any claims that are wrong or unsupported. Write a one-paragraph review rule based on what you find, and share it with everyone who lists products.