The Gorgias alternative
that leaves your team the hard cases.

01

Fresh answers, nobody maintaining copies

The policy changed this morning, but the bot still gives last month's answer. That gap lands on somebody, whatever your team runs. They have to find the change, update a second copy, and hope nothing got missed. Outlearn removes that copy. It reads the places where answers already live and keeps reading them, so the answer changes when the source does.

Outlearn reads 20 systems live, among them Confluence, SharePoint, Google Drive, GitHub, and Slack, whatever you run. It re-reads them every 30 minutes. There's no help center copy for anyone to keep in sync. The answer changes when the source does. That's the standard a Gorgias alternative needs to meet when your team works across more than one place.

Outlearn attaches the actual articles it used to every answer, not a confidence score. And it retrieves based on who's asking. An anonymous visitor gets public docs, a paying customer gets their plan's articles, and an employee gets internal runbooks. The same question can have different correct answers.

There is a limit, because you'll find it in week two anyway. Per-person scoping works where Outlearn can read the source's user model, which today is your knowledge base. Cloud-file connectors don't import users, so anything pulled from Drive isn't scoped per person. That's the current boundary.

This is the source health view for a connected website. A Gorgias alternative earns trust by putting source freshness and anything it couldn't pull in the open, because stale or partial sources are what vendors usually hide. Checked every half hour, not once a month.

02

Compare what each billing model counts

You're deciding what support automation costs under the traffic you actually get, not whether a plan sounds cheap. You were sold 'AI Agent on every plan, pay only when it resolves a conversation.' on gorgias.com/pricing, read 7 August 2026. The promise sounds clean. The meter arithmetic behind it is different.

The billing docs define the ticket counter this way: 'A ticket is considered billable when at least one message in the ticket is sent from your Gorgias helpdesk, whether the message comes from a human agent, AI Agent, or an automatic reply from a Rule.' Then the automation counter, verbatim: 'An interaction is considered automated if the customer does not require the involvement of a human agent within 72 hours of the interaction.'

So when AI Agent answers and the customer goes away happy, you pay a ticket fee plus an automation fee. When it misses and a human takes over, you pay the ticket fee only. Success bills two meters. Failure bills one. Their docs state all three billing cases plainly, and to their credit they don't hide it.

Nobody designs that setup on purpose. You inherit it when AI gets added to a product that already measures tickets. Per seat, per ticket, and per conversation all came from counting human effort. Teams leave the two-meter bill and pick a Gorgias alternative that charges for the work its AI did: a reply.

03

The agent can act before it hands off

An answer is useful. An answer that updates the system while the customer is still there changes the conversation. Outlearn can use Salesforce and Stripe out of the box, or send a plain HTTP action to any endpoint you own with your own auth headers. Describe when it should run in one sentence. No rules tree waiting behind it.

That is the line between a chatbot and an agent. Mid-conversation, the AI checks a record or changes something, then comes back with the result. It doesn't just tell the customer where to click. The bar when you compare a Gorgias alternative is simple: the customer gets the answer after the work is done, not another task.

When a person needs to step in, Outlearn hands over into Zendesk, Intercom, LiveChat, Slack, and four others. They open the conversation knowing what was asked, what Outlearn answered, and which articles it used. Support capacity stops being a function of how many people you hired. People get the exceptions, not the queue.

This is Outlearn's action builder for an endpoint you own. Describe the trigger in one sentence, wire the system call, and choose how the answer comes back without building a rules tree.

04

Answers live across the tools you run

Your answers are spread across the sources your team actually runs, and they need to stay current. Maybe that's Notion, Drive, Confluence, SharePoint, or whatever you run. Gorgias publishes five content types its AI Agent learns from: guidance snippets you write, help center articles, a crawl of your store website, single-page URLs, and uploaded documents. All four are absent from that published list, an absence in their docs rather than a confirmed limit. They publish the list, which is more than most vendors do.

A synced URL doesn't follow subpages, so a documentation site goes in a page at a time. The store crawl is explicit, verbatim: 'You can re-sync content from your store website once every 30 days.' A month-stale answer on a policy you changed today is why people start searching for a Gorgias alternative.

They advertise 254 integrations, but we won't pretend those are 254 knowledge sources. They're actions and sidebar apps. The comparable knowledge-source number is five. That distinction matters because an integration can help your team work while giving the AI nothing reliable to answer from.

05

Match the product to your queue

Buy Gorgias if Shopify support is the job. Its AI does order lookups, refunds, and cancellations against live store data, and its Actions run in the store rather than describing what to do. If your volume is 'where is my order' and 'can I change the size,' that's the job, and Outlearn doesn't do it. That's not a small caveat. It's most of their product.

Two more things deserve saying clearly. They aren't priced per seat. And their AI holds back when unsure: "If it can't find an answer, it won't respond." That's a better default than confidently guessing. On either side, honesty about where answers come from is part of what you're buying when choosing a Gorgias alternative.

We're not going to pretend metering is something only they do. Outlearn meters too, one billing event per AI reply, so a conversation that takes six exchanges bills six. For Gorgias, one conversation is one or two billing events depending on whether the AI succeeded. That difference matters more than a headline price.

If your Gorgias alternative decision comes down to cost, start with the traffic you actually have. Short order-status traffic favors their model. Longer, knowledge-heavy conversations favor ours. The difference is what the meter counts: theirs counts a ticket a person used to read, ours counts a reply the AI actually wrote. The calculator below tells you which one you are, and it'll tell you to stay if that's the answer.