Chatbase Rebranded to AI Agents. AI Search Still Calls It a Chatbot.

AI search teardown · data from 2026-10-16 · 6 min read

Chatbase started in 2023 as the easiest way to train a chatbot on your own content. Today it sells AI agents for customer experience, across chat, email and voice, and it publishes a page for AI assistants asking them not to describe it as a generic chatbot. We asked ChatGPT, Claude, Gemini, Perplexity and Grok 5 questions a support team would ask, 3 times each: 75 answers. The engines know Chatbase well. They mostly know the old one.

Three Findings, Up Front

• Chatbase owns “chatbot,” not “agent.” It was named in 20 of 30 answers (67%) to the chatbot questions, and 8 of 45 (18%) to the agent questions. On agents, Intercom Fin was named in 33 of 45.
• ChatGPT recommends its own maker. ChatGPT named Chatbase in 0 of 15 answers. Asked how to put a chatbot on a website, it led with OpenAI’s ChatKit and File Search in 4 of 6 answers.
• Perplexity is the exception. It named Chatbase in 9 of 15 answers, more than any other brand, and chatbase.co was the most cited site in the whole run (33 citations across 18 answers).

Why Does Chatbase Score High on Chatbots and Low on Agents?

Split the questions by the job they describe and two different markets appear. On the chatbot questions, Chatbase is the default. On the agent questions, the engines reach for Intercom Fin, Zendesk, Sierra and Decagon:

When the engines do recommend Chatbase, they describe the product it used to lead with. Perplexity, asked for the best tool to train a chatbot on a website and docs:

Ask for an agent that can issue a refund and the answer changes. The engines cite Intercom’s and Zendesk’s own pages about AI agents that take actions, and name those vendors:

Chatbase’s product does take actions (its site lists order lookups, plan changes and cancellations). What the engines lack is pages that answer the agent questions in those words. That is a content gap, not a product gap, and it is the cheaper one to close.

ChatGPT Points to OpenAI

ChatGPT was the only engine that never named Chatbase. For the chatbot questions it mostly answered with OpenAI’s own developer tools, citing developers.openai.com:

For a no-code buyer, “use the Responses API” is not an answer they can act on, but it is the one ChatGPT gives. A vendor competing for that question competes with the engine’s maker. Zendesk’s count includes a few answers that name it as an integration rather than a pick; most name Zendesk AI Agents directly.

Who Wrote the Pages the Engines Read?

Grounded engines search the web, then cite what they read. Chatbase’s own site leads the list, which is why Perplexity, the engine that leans hardest on citations, names it most. The rest is vendor blogs: SiteGPT, Botpress, and support-AI startups writing “best AI agent” roundups.

What This Means If You’re Repositioning

• AI answers lag a rebrand. Your homepage can change in a day. The pages engines cite (roundups, comparisons, review sites) keep describing what you were. Measure the new category’s questions separately from the old one’s, or the old one hides the gap.
• Answer the new question in its own words. “AI agent that can take actions like refunds” is a different query from “chatbot trained on my docs.” Intercom and Zendesk have pages for exactly that query, and the engines cite them.
• Check ChatGPT on its own. A blended number hides an engine at zero. Here the biggest engine answers with its own maker’s tools.

Disclosure: openllmrank sells the kind of AI-visibility measurement used in this post.

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