Shopify now redirects shopify.com/magic to a new “Sidekick” landing page, signaling a shift in how the platform bundles its AI features. The change doesn’t retire the existing “Magic” engine; it simply re-positions it behind a broader assistant layer.
Why the rename matters
Shopify’s AI suite mixes generation (text or images) with assistance (answering questions, nudging actions). By funneling traffic to Sidekick, Shopify makes the assistant the public face of its AI while keeping Magic as the underlying content-creation engine. For store owners, the impact is clear:
The two layers, explained
Shopify Magic – the generation layer
Magic lives inside the input fields where you type. It watches the cursor and offers on-the-spot suggestions. Typical use cases include:
- Drafting product titles, descriptions or email copy.
- Suggesting subject lines for marketing blasts.
- Removing or swapping backgrounds in product photos.
- Providing quick replies for Shopify Inbox conversations.
Shopify Sidekick – the store-aware assistant
Sidekick sits on top of Magic and adds contextual awareness. It reads your sales data, inventory, and settings, then acts on them. Its capabilities span:
- Answering questions about revenue, traffic or best-selling items.
- Creating new customer records from plain-text input.
- Building test events to trigger automations.
- Generating discounts, updating admin settings, or launching workflows.
- Working inside the mobile app and a handful of partner integrations, with a built-in code editor for app developers.
Because Sidekick respects the permissions you set for staff accounts, it can only see and change what your role allows—providing a built-in safety net.
When to reach for Magic vs. Sidekick
The real question isn’t which tool is “better” but which task you want to delegate.
Use Magic when you need raw content creation:
- You’re staring at a blank product page and need a first-draft description.
- A product photo needs a new background, and you want the AI to handle the edit.
- You want a quick email subject line without pulling up a separate analytics dashboard.
Use Sidekick for data-driven actions:
- You want to know how a recent promotion performed across regions.
- You need to bulk-create customer profiles from a CSV-style list.
- You’re testing a new automation and need a mock event to fire.
- You wish to adjust store settings, create discount codes, or run a script from the mobile app.
Keeping control: five safety rules
AI can speed up routine work, but it still produces drafts that need human verification. Shopify builds the permission model into Sidekick, but owners should adopt a disciplined workflow:
- Define clear goals and metrics before you ask the AI to act.
- Feed accurate data; the assistant can only be as good as the inputs you provide.
- Approve every financial or customer-facing change—no discount or email should go live without a manual sign-off.
- Verify results after the AI runs; a generated description may need brand-tone tweaks, a created discount may need a spend-threshold check.
- Cross-check AI-produced assets against real products; an edited photo should still match the actual item you ship.
What merchants should watch next
Takeaway
Shopify’s rebranding puts the assistant front-and-center, but the Magic engine still does the heavy lifting for content generation. Treat Magic as your on-demand copywriter and image editor, and Sidekick as the data-savvy clerk that can pull reports, adjust settings, and trigger workflows—always under your final approval. Match the right AI layer to the right task and follow the five safety rules, and merchants can harvest speed without sacrificing control.
