A More Powerful Chatbase Alternative for Growing Teams

Chatbase is the dominant name in no-code AI chatbot builders, and for good reason — it made deploying a GPT-powered chatbot on your website a 20-minute task. Thousands of SaaS companies, agencies, and solo operators use it to deflect basic support questions and surface documentation faster.

The problem surfaces when teams want more. Chatbase was designed as a Q&A deflection tool. Its architecture is optimised for 'ask question → retrieve answer' workflows. But modern growth teams need their AI agents to do more: qualify inbound leads, sync contact data to CRM, alert sales when a high-intent visitor appears, and surface insights about which conversations convert and which don't.

Kori was built to fill exactly that gap. It delivers the same fast knowledge base training and easy deployment — but extends those foundations with a full lead generation layer, native CRM integrations, proactive engagement triggers, and an analytics dashboard that answers the question teams actually care about: which conversations are turning into customers?

Chatbase's pricing is structured around message credits. The $19/month Hobby plan includes 2,000 messages per month. The $99/month Standard plan includes 10,000 messages. Once you exceed your allocation, you pay overage fees — or upgrade to a higher tier.

This model creates a perverse dynamic: the more your AI agent succeeds (the more visitors engage with it, the more questions it answers, the more leads it qualifies), the more you pay. High-traffic sites frequently hit their monthly credit ceiling in the first week of the billing cycle, leading to either unexpected overage bills or a degraded customer experience when the bot goes silent.

Kori uses a flat monthly pricing model. You pay a fixed amount per month regardless of how many conversations your AI agent handles. As your site traffic grows and your AI agent becomes more embedded in your customer experience, your Kori cost does not scale with usage. This predictability is critical for teams running AI agents at scale.

Every conversation your AI agent has is a business signal. A visitor reading your pricing page for five minutes and asking about enterprise plans is not the same as someone who lands on a blog post and bounces. Chatbase treats both interactions identically — as messages to be answered. Kori treats them differently.

When Kori detects high-intent behaviour — long session duration, specific page visits, pricing questions, repeated site visits — it can automatically trigger a personalised lead capture flow, alert your sales team in Slack, or push a qualified contact record directly into HubSpot. This turns your AI agent from a support deflection tool into an active member of your revenue team.

The lead data Kori captures is also richer than a simple email collection form. Kori captures conversation context — what the visitor asked, what products they expressed interest in, what objections they raised — and attaches it to the CRM record. Your sales team doesn't just get an email address; they get a full pre-sales brief.

If you are currently on Chatbase and evaluating whether to switch, the migration process is simpler than you might expect. Kori ingests the same sources Chatbase does — your website URL, uploaded PDFs, plain text, and manually entered Q&A pairs. If you have structured your Chatbase knowledge base carefully, the transition is largely a copy-and-paste exercise.

The main lift is configuring the features Chatbase doesn't have: setting up your lead qualification flow, connecting your CRM, and configuring proactive engagement triggers. For most teams, this takes one afternoon. The payoff — a properly configured AI agent that actively contributes to your pipeline — typically justifies that investment within the first month.