AskRoo vs Cortimo — AI Customer Support
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Aug 10, 2026 for AskRoo, Oct 17, 2026 for Cortimo.
The short answer
- AskRoo lists 4 features Cortimo’s listing doesn’t mention, including Agent avatar, Chat buttons, Cross-sell.
Head to head
Starter
- · 500 messages / month
- · Code tool
- · Support tickets
- · Unlimited agents
- · Widget customisation
Pro
- · 1,500 messages / month
- · Code tool
- · Everything in Starter
- · Priority support
- · Unlimited agents
Business
- · 5,000 messages / month
- · Dedicated support
- · Everything in Pro
- · Python execution
- · Unlimited agents
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureAskRoo adds an AI support agent to your storefront that reads your live store data before it replies. It looks up orders by number and email, reports tracking status, quotes current prices and stock, and searches your products, pages, and policies. Return requests are checked against your policy window before anything is approved, then filed for your team or started automatically.
Most customer support questions are repetitive: "where is my order", "can I return this", "is it in stock". Cortimo answers them instantly using your real Shopify catalog, orders, and store policies — so your team only handles cases that genuinely need a human. Customers don't just get answers — they take action.
- Order status, tracking, and return questions answered in your store's chat
- Return eligibility checked against your policy before anything is approved
- Product cards with current price and stock, and add to cart from the chat
- Unanswered questions become support cases with the full chat transcript
- Customers self-serve refunds, returns, cancellations, and order tracking in chat
- Answers from your real Shopify catalog, orders, and policies
- Customize AI agents and add new specialized agents from your dashboard
- Run Python code in chat for advanced workflows
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 |  AskRoo |  Cortimo |
|---|---|---|
| Detected stores | Not published | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Not published |
| Top store countries | Not published | Not published |
Reviews
| Measure | AskRoo | Cortimo |
|---|---|---|
| App Store rating | Not published | Not published |
| App Store reviews | Not published | 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
AskRoo and Cortimo: common questions
- What features does each app list that the other doesn’t?
- AskRoo lists 4 the others don’t mention, such as Agent avatar, Chat buttons, Cross-sell, Emojis and stickers. Cortimo lists 4 the others don’t mention, such as Chat assignment, File upload, Live chat, Multi-language. 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 Aug 10, 2026 for AskRoo, Oct 17, 2026 for Cortimo; 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 Aug 10, 2026 for AskRoo, Oct 17, 2026 for Cortimo. 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.