The best Gorgias alternatives for Shopify stores

Two good ecommerce tools that disagree about where support starts

Gorgias earns its position. It describes itself as built for Shopify rather than adapted to it, and that shows: order data sits in the sidebar where an agent needs it, refunds and cancellations can be actioned without leaving the ticket, and the macro and rule system is tuned to the actual shapes of ecommerce support. Crucially, it is not priced per agent — Gorgias meters tickets, so adding a seasonal temp during Black Friday does not add a licence. That is a better structure than most of this category and it deserves credit.

The divergence is philosophical before it is financial. Gorgias starts from the inbox: tickets arrive, humans work them, and AI is layered on to handle some of them. Bookbag starts from the agent: the AI attempts every conversation, resolves what it can end to end, and escalates the rest into a shared inbox with full context. The practical consequence is where your effort goes. In a help-desk-first model you invest in routing and macros. In an agent-first model you invest in knowledge and action rules, and the routing has less to route.

Now the money, using published figures from July 2026. Gorgias meters billable tickets — its documentation defines one as any ticket where at least one message is sent from the help desk, whether by a human, the AI Agent, or an automatic rule reply. The worked example in its own docs is a subscription including 300 tickets for $60 a month plus $0.40 per extra ticket, and the pricing page states plans scale from 50 to 5,000 tickets a month.

On top of that sits the AI meter. Gorgias's official information page states most plans charge $0.90 per conversation the AI resolves on annual billing, or $1.00 on monthly billing, with Starter plans beginning at $1.00, and plans covering from 90 to 2,500 or more AI-resolved conversations a month. The fairness principle behind it is good — if a human steps in, it does not count. But the documentation also confirms that one ticket can count toward both your help-desk ticket usage and your automated interactions. Success is billed twice on the same conversation.

Put a real store through it. Two thousand conversations a month resolved entirely by AI, on monthly billing, is about $2,000 in AI Agent fees, and those same conversations also consume ticket allowance from a plan sized to hold them. Bookbag's Scale plan is $350 a month flat with 15,000 message credits, which at roughly four AI replies per conversation covers around 3,750 conversations, with the help desk, human handoff, and every messaging channel included. Nothing is metered twice and nothing is metered on success.

There is also a difference in what the AI is expected to do. Gorgias's AI Agent is strong on answering and on the workflows you configure. Bookbag's agent is designed to complete the transaction: read the fulfilment, judge whether a parcel is genuinely late, offer the right resolution, start the return, generate the label, issue a refund inside the caps you set, change a subscription, recommend a replacement product. Both are ecommerce-aware. Bookbag leans further toward acting and further away from routing.

Channel coverage differs too. Bookbag includes web chat, email, WhatsApp, Instagram DM, Facebook Messenger, and Slack on the Growth plan, with voice on higher tiers. Gorgias offers voice and SMS as separately charged products. Neither approach is wrong, but if your customers reach you across four channels, bundling matters to the total.

And Gorgias has real advantages worth naming. Its Shopify integration has years of edge cases baked into it. Its macro and rule library is deeper. Its ticket-based pricing genuinely does let you scale the human team without licence cost, which is a meaningful benefit during peak season. If your support model is fundamentally human-led with AI assisting — a considered-purchase brand, high-touch service, complex customisation — Gorgias fits that shape better than an agent-first tool does.

So the choice is not which is the better ecommerce product. It is which model your queue rewards. High-volume, transactional, WISMO-and-returns-heavy support with a small team gets more from an agent-first tool on flat pricing. Lower-volume, high-touch, human-led support with a big macro library gets more from Gorgias. Model both against your own last three months of ticket data before deciding — the answer is usually obvious once you do.

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