Gorgias alternative

A Gorgias alternative that does not bill you per answer

Gorgias is a capable ecommerce helpdesk built around tickets and agent seats. ClerkChat is an AI agent that answers on your site and in your customers' messaging apps, on flat pricing. If your support volume is growing faster than your team, the difference shows up on the invoice.

You are probably comparing these because

  • Your ticket volume is rising and the per-resolution line on your bill is rising with it
  • Most of your incoming questions are repeats that never needed a human
  • Customers message you on WhatsApp or Instagram, not just through a support form
  • You want deflection before the ticket exists, not faster handling after it does

ClerkChat compared with Gorgias

Feature comparison between ClerkChat and Gorgias
TopicClerkChatGorgias
Core modelAn AI agent that answers before a ticket is createdA helpdesk that routes tickets to agents, with AI layered on top
Pricing modelFlat plan pricing, with a free tier to startPlan tiers by ticket volume, plus usage fees per AI resolution
Cost as deflection improvesUnchanged. Answering more questions does not cost moreRises. Each automated resolution is a billable event
Where it answersWebsite widget, a page we host for you, WhatsApp, Instagram, Messenger, TelegramHelpdesk inbox across connected channels, centred on email and chat
No website neededYes. We host a shareable page for your agentNo. Built to sit alongside an existing storefront
SetupPoint it at your site or upload docs, then embed one snippetHelpdesk implementation, macro and rule configuration
Best fitSmall teams deflecting repeat questions across messaging channelsEstablished support teams running high ticket volume on Shopify

A closer look at Gorgias

The pricing model is the real difference

Gorgias prices tickets, then charges again for each conversation its AI resolves. That is coherent for a helpdesk: a resolved ticket is work done, and work done has a price. It also means the better your automation gets, the more you pay. Teams who succeed at deflection find their bill rising in proportion to their success, which is a strange incentive to sit under a support strategy.

ClerkChat charges a flat plan. Deflecting ten conversations and deflecting ten thousand cost the same. Whether that is better depends on your volume: at low ticket counts a usage model is cheaper, and honestly so. The crossover comes sooner than most teams expect, because it arrives exactly when automation starts working.

Check both current pricing pages before deciding. Gorgias publishes its plans and its per-resolution rates, and those numbers move.

Deflection and resolution are not the same job

A helpdesk improves the handling of a ticket that already exists. Routing, assignment, macros, SLAs and reporting all assume the conversation has arrived and someone must deal with it. Gorgias is good at this, particularly for Shopify merchants, where order context sits inside the ticket.

Deflection works earlier. The question is answered on the website, in WhatsApp or in an Instagram DM, and no ticket is created. Nothing enters the queue, so nothing needs routing, assigning or reporting on. The two approaches are complementary more often than competing, and plenty of teams run both.

The question worth asking is which half of your volume is larger. If most of what reaches you is genuinely novel and needs judgement, a helpdesk is the right investment. If most of it is the same twenty questions, a helpdesk makes you faster at work you should not be doing.

Where your customers actually message you

Gorgias centres on a support inbox: email, chat, and social pulled into one place for agents to work. ClerkChat starts from the channels themselves, answering in the WhatsApp thread or Instagram DM where the customer already is, plus a website widget and a page we host for businesses without a site.

For a merchant whose customers email and use on-site chat, that distinction matters little. For one whose customers overwhelmingly message on WhatsApp, it matters a great deal, because the experience is a reply in the thread rather than a ticket acknowledgement.

When Gorgias is the better choice

Gorgias is a mature product with a real support organisation in mind. There are cases where it is the right call and we are not a substitute.

  • You have a staffed support team that lives in a shared inbox all day and needs seats, assignment, SLAs and macros
  • Your workflow depends on deep Shopify actions from inside the ticket, like editing, refunding or cancelling orders
  • You need mature reporting on agent performance, not just conversation outcomes
  • You are consolidating email, phone and social into one ticketing system and the helpdesk itself is the product you are buying

ClerkChat and Gorgias questions

What is the main difference between ClerkChat and Gorgias?
Gorgias is a helpdesk: it organises tickets so agents can work them efficiently, with AI added on top. ClerkChat is an AI agent that answers the question before it becomes a ticket, on your website and in messaging apps. If your goal is to stop repeat questions from reaching a human at all, that is the difference that matters.
How does the pricing compare?
Gorgias prices by ticket volume with usage-based fees for each AI resolution, so automating more conversations increases what you pay. ClerkChat uses flat plan pricing, so deflecting more questions does not raise your bill. Check both current pricing pages before deciding, since plans change.
Can I use ClerkChat alongside Gorgias?
Yes. Some teams put ClerkChat in front as a first line on the website and messaging channels, and keep their existing helpdesk for conversations that reach a person. Escalate to Human hands over the full transcript.
Does ClerkChat work with Shopify?
Yes. ClerkChat connects to Shopify so order and shipping details can be used in answers. If your team needs to perform refunds and order edits from inside a ticket, a full helpdesk is still the better tool for that part of the job.
Already decided to leave Gorgias?What carries across, what does not, and when to stay put.

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