The Chatbase alternative
that keeps the queue moving and escalates the hard ones.

01

What support looks like after you switch

Your customers get answers at 3am that are correct at 3am, because the agent read this morning's docs, not March's upload. Half the queue never touches a human. 50.4% of conversations solved end to end, and you stop paying us for a conversation the moment it hands off.

It answers with the number, not an article about the number. Outlearn calls your APIs mid-conversation for an order status, a subscription state, a license key, a Salesforce record or a Stripe charge. The refund moves while the customer is still typing their thanks.

And the conversations that need judgment land on your team in Zendesk, Intercom, LiveChat, Slack or four others, transcript and summary attached, so nobody opens with "can you repeat that from the beginning."

Your team takes the exceptions. The agent takes the queue. That's the entire pitch. Everything else on this page is proof.

02

Nobody babysits the bot

You connect. It keeps reading. Confluence, Google Drive, SharePoint, OneDrive, Box, Dropbox, GitHub, Gmail, Slack, Microsoft Teams, Salesforce and five helpdesk knowledge bases. Outlearn reads the originals and re-reads them every thirty minutes, so the price you change at 4pm is the price the agent quotes at 4:30. No export, no re-upload, no ticket to whoever owns the bot.

That job where somebody's week goes on keeping the help center true? It stops existing. Your documentation gets maintained by the people doing the work, as a side effect of them doing it.

This matters because a stale agent doesn't throw an error. It answers anyway. Confidently. Connected sources make that failure mode structurally impossible, which is worth more than any accuracy percentage we could print.

Chatbase learns from what you upload, and its docs list the formats plainly: pdf, txt, doc, docx. A perfectly good model when your content sits still. Outlearn is built for content that moves, and support content moves.

03

The right answer for whoever is asking

A trial user, a paying customer and one of your own engineers ask the same question. On Outlearn each gets the correct answer for who they are: the public docs, their plan's articles, the internal runbook. It reads groups and per-article permissions straight out of your knowledge base, so enterprise answers stop leaking to trial accounts and internal notes stay internal.

The limit, because you'll find it in week two anyway: scoping works where we can read the user and group model, today your knowledge base. The cloud-file connectors don't import users, so anything pulled from Google Drive or SharePoint isn't scoped per person. Put the runbooks that need scoping in the knowledge base, not in a Drive folder.

Chatbase doesn't scope answers per user, so most teams keep internal content out of it entirely. A reasonable workaround. It also means the agent permanently knows less than your team does, which is a strange ceiling to buy on purpose.

This is the sources dashboard after connecting, here with a single website crawl; add as many sources as you want, a helpdesk, a Drive folder, a repo. Your agent is never more than half an hour behind any of them, and when a source half-imports it says so out loud, because an agent quietly answering from half your content is the one failure you'd never catch yourself.

04

Buy for month six, not for the demo

Every AI support agent demos beautifully. That is not the hard part. The hard part is the bill and the plan holding their shape after your traffic doubles, and that's exactly where Chatbase's recent one-star reviews cluster: the plan people signed up for is not the plan they ended up on. The quotes are further down, in their customers' own words.

Here's ours, out loud: we have a meter too. Outlearn bills per AI reply and a more expensive model costs more per reply, exactly like Chatbase's credits do, one reply costing between one and six of them depending on the model, and plan credits you don't use reset each month, though extra credit packs you buy roll over until used. Anyone telling you their AI support tool has no meter is selling you a rounding error you haven't found yet.

So ask every Chatbase alternative on your shortlist, us included, two questions: what does one resolution cost at my volume, on the model I'd really run? And which things in this plan can you remove later without my agreement? The calculator below answers the first one for both of us.

05

What is Outlearn missing?

No fixed branching scripts. Chatbase's Procedures feature runs a refund down the same fifteen-step path every time. Outlearn's agent reasons over its tools instead, which is better for open-ended questions and worse when every step has to be identical.

No native agent inbox, because Outlearn isn't a helpdesk. It hands off into Zendesk, Intercom, LiveChat, Slack and four others with the full transcript attached.

If fixed scripts or a built-in inbox is the heart of your workflow, we're the wrong alternative and Chatbase is the better buy. We'd rather say that here than read it in a churn survey.

This is how you give Outlearn an action: your API endpoint, your headers, and a plain-English sentence saying when to use it. Refunds, order lookups, license resets. The agent decides at runtime like a person would, so there's no rules tree to maintain and no ticket to file with us when your process changes.

06

So why is Outlearn more expensive?

Because reading 20 live systems every day costs more than reading a folder somebody uploaded once.

At the top self-serve tier Chatbase charges $0.0267 a credit and we charge $0.0399. Same unit on both sides, so the gap is real and not a packaging trick.

If nobody on your team is currently babysitting a knowledge base, that difference buys you nothing. If somebody is, it is the cheapest headcount you will ever save.