Magistry vs Swan AI
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Nov 8, 2026.
The short answer
- Magistry is detected on 18× as many Shopify stores as Swan AI: 18 vs 1 as of Nov 8, 2026.
- Magistry lists 3 features Swan AI’s listing doesn’t mention, including Customer tags, Sales thresholds, Time-based.
Head to head
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Launch
- · 50 AI-credits / month
- · Agents propose, you approve
- · Full dashboard, every agent visible
- · No credit card required
- · See every decision before it happens
Starter
- · 1,000 AI-credits / month
- · Ads, feeds, support, catalog, disputes
- · Autonomous within your guardrails
- · Every action logged and auditable
- · Every agent running on your store
Growth
- · 16 ad networks, one profit view
- · 2,600 AI-credits / month
- · Built for daily paid acquisition
- · Everything in Starter
- · Priority support
Scale
- · 5,200 AI-credits / month
- · Everything in Growth
- · For multi-market, high-SKU stores
- · Highest automation throughput
- · Priority support
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureMost stores run on a stack of disconnected tools, each seeing one slice of the business. Magistry replaces that stack with one intelligence. Marketing, advertising, merchandising, tracking, service and operations share a single live data layer, and a fleet of AI agents acts on it around the clock.
Automate your online business to focus on growth, not management.
- Catalog & pricing agent keeps, optimizes, discounts, or hides products for you
- Ads, shopping feeds, and server-side conversion tracking across Google and Meta
- Customer service agent drafts replies and handles refunds, returns, and cancels
- Chargeback defense, fraud screening, and storefront compliance auditing
- CRM
- segments
- journeys








All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure | Magistry | Swan AI |
|---|---|---|
| Detected stores | 18(ahead) | 1 |
| Net store change, 28 days | +1 | 0 |
| Stores added, 28 days | 1 | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Apparel & Accessories, Home & Garden, Animals & Pet Supplies | Health & Beauty |
| Top store countries | Netherlands | United Arab Emirates |
Reviews
| Measure | Magistry | Swan AI |
|---|---|---|
| App Store rating | 5.0 ★ | Not published |
| App Store reviews | 22 | Not published |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
Magistry and Swan AI: common questions
- Which is more popular, Magistry or Swan AI?
- Magistry is detected on 18× as many Shopify stores as Swan AI: 18 vs 1 as of Nov 8, 2026.
- What features does each app list that the other doesn’t?
- Magistry lists 3 the others don’t mention, such as Customer tags, Sales thresholds, Time-based. Swan AI lists 3 the others don’t mention, such as Inventory levels, Order fulfillment, Order processing. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Nov 8, 2026; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Nov 8, 2026. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.
















