AislePilot AI

Customer support comparison

Gorgias vs Tidio for Shopify: start with the work, not the feature list

Gorgias is the stronger fit when support is already an operation. Tidio is the easier place to start when chat, a small team and a contained AI trial matter more than deep workflow control.

Facts checked 16 September 2026. Draft for editorial review. We have not completed a hands-on product test, so product behaviour below is sourced to vendor documentation and clearly separated from our judgment.

Neither company influenced this draft. If affiliate links are added later, they will not change the conclusion or score.

The short answer

If this sounds like your storeStart withWhy
Shopify is the centre of the support stack; several agents work across email and chat; order actions and reporting matter.GorgiasIt is built around ecommerce helpdesk work and its AI Agent can use Shopify data and connected tools.
You want live chat and AI answers quickly, have a smaller queue, or want AI beside an existing helpdesk.TidioLyro includes 50 trial conversations and can be bought as a stand-alone layer rather than a full helpdesk migration.
You have low support volume and mostly need real-time chat.Shopify Inbox firstThe free built-in option may cover the job. Paying for a larger system before the queue exists is not sophistication.

Where Gorgias earns the extra weight

Gorgias treats the support queue as the product. Its public pricing scales by billable tickets, from a 50-ticket Starter tier through plans covering thousands of tickets. AI Agent adds outcome-based charges when it resolves an interaction. Gorgias says most AI plans price a resolution at $0.90, with different rates by tier and annual plan.

The important part is not the headline rate. Gorgias can read Shopify order and customer context, and its documentation describes actions such as order tracking, returns, subscription changes and shipping updates through connected systems. That makes it more plausible as an operating layer for a support team, rather than a box that answers policy questions.

The trade-off is the same strength. Ticket allowances, AI resolutions, overages and add-ons need modelling at your real volume. A tool that looks expensive per month can still be economical if it replaces several minutes of work per ticket. A cheap plan can become expensive if the included volume is wrong.

Where Tidio is easier

Tidio combines live chat, a helpdesk and Lyro, its AI agent. Every account can test 50 Lyro conversations. Tidio also offers Lyro as a stand-alone product, which matters if replacing the existing inbox would slow the project down.

Its public material says Lyro can use support content, answer in multiple languages and connect to Shopify order data. The Shopify order-status action verifies the customer before returning payment, fulfilment and tracking details. That is a useful, bounded first workflow: repetitive, measurable and less risky than giving an agent broad refund authority on day one.

Tidio markets Lyro from roughly $0.50 per conversation. Treat that as a price input, not an ROI claim. Your effective cost also includes the human time spent preparing the knowledge base, reviewing failed answers and handling escalations.

Do the volume maths before the demo

Take three numbers from the last full month: inbound tickets, average handle time and loaded hourly support cost. Then classify the queue. How much is order status, product advice, returns, damaged goods and genuinely unusual work?

Model a conservative resolution rate first. At 2,000 monthly tickets, a 40% full-resolution rate and seven minutes of current handle time, the gross release is about 93 hours. If every automated ticket still receives 30 seconds of QA or escalation work, the net release is closer to 87 hours. That is capacity, not automatically payroll cash.

Run your support numbers

Our decision rule

Choose Gorgias when Shopify support is a material team function and the cost of fragmented context is already visible. Choose Tidio when the first goal is a lower-friction AI or chat deployment, especially if an existing helpdesk stays in place. Choose neither until you have a clean knowledge base, named workflow owner and a baseline for ticket mix and resolution time.

What we still need to test

Primary sources