Which AI Customer Support Tool Do AI Engines Recommend? We Asked 5 Engines 75 Times
A support team shopping for AI asks two kinds of question. Some want a chatbot that answers from their docs. Others want an agent that can issue a refund. We asked ChatGPT, Claude, Gemini, Perplexity and Grok 5 questions a support team would ask, 3 times each: 75 answers. One tool was named in most of them. Below it, the engines split the market in two, and the biggest engine kept pointing at its own maker.
Three Findings, Up Front
- Intercom Fin is the default. It was named in 47 of 75 answers (63%), more than any other tool, including 14 of 15 from Grok and 12 of 15 from Gemini.
- Chatbot questions and agent questions have different winners. On the chatbot questions (30 answers), Chatbase (20) and SiteGPT (16) led. On the agent questions (45 answers), Intercom Fin (33) and Zendesk (28) led, and Sierra and Decagon were named only there.
- ChatGPT recommends its own maker. Asked how to put a chatbot on a website, ChatGPT led with OpenAI’s ChatKit and File Search in 4 of 6 answers.
Is Intercom Fin the Default on Every Engine?
On three of five, it was named in most answers. Claude named Intercom Fin in 11 of 15 answers, Gemini in 12, Grok in 14. ChatGPT named it in 7 and Zendesk in 8. Perplexity named it in 3, and led with Chatbase instead (more on why below).
| Engine | Most named | Runner-up | Intercom Fin |
|---|---|---|---|
| Claudeclaude-haiku-4-5 | Intercom Fin (11/15) | Zendesk (7/15) | 11/15 |
| ChatGPTgpt-5.4-mini | Zendesk (8/15) | Intercom Fin (7/15) | 7/15 |
| Geminigemini-3.5-flash | Intercom Fin (12/15) | Chatbase (8/15) | 12/15 |
| Grokgrok-4.3 | Intercom Fin (14/15) | Zendesk (14/15) | 14/15 |
| Perplexitysonar | Chatbase (9/15) | Botpress (6/15) | 3/15 |
Fin’s lead comes from the agent questions. Ask for an agent that can issue a refund and the engines cite Intercom’s and Zendesk’s own pages about AI agents that take actions, and name those vendors:
Intercom Fin — very strong if you want a modern, autonomous support agent that can resolve issues and take backend actions.
Zendesk’s count includes a few answers that name it as an integration rather than a pick; most name Zendesk AI Agents directly.
Chatbot Questions and Agent Questions Have Different Winners
Split the 75 answers by the job the question describes and two markets appear. The chatbot questions ask to train a bot on a website and docs, or add a ChatGPT-style bot to a site. The agent questions ask for one that takes actions, covers chat, email and voice, or supports a Shopify store:
| Tool | Chatbot answers | Agent answers |
|---|---|---|
| Chatbase | 20/30 | 8/45 |
| SiteGPT | 16/30 | 2/45 |
| CustomGPT.ai | 9/30 | 1/45 |
| Botpress | 13/30 | 5/45 |
| Tidio | 14/30 | 15/45 |
| Zendesk | 14/30 | 28/45 |
| Intercom Fin | 14/30 | 33/45 |
| Sierra | 0/30 | 11/45 |
| Decagon | 0/30 | 11/45 |
SiteGPT was named in 16 of 30 chatbot answers and 2 of 45 agent answers. Sierra and Decagon were named in 11 agent answers each and no chatbot answers. Tidio is the one tool with a real presence in both (14 and 15). A vendor’s blended share hides which of the two markets it is winning. Sierra, as Claude describes it:
Sierra plugs into backend systems like CRMs and order platforms, completing real actions such as refunds and flight changes rather than just answering questions.
ChatGPT Points to OpenAI
On the chatbot questions, ChatGPT mostly answered with OpenAI’s own developer tools, citing developers.openai.com:
The easiest path is OpenAI’s ChatKit if you want a ChatGPT-style embedded chat UI with minimal frontend work.
For a no-code buyer, “use the Responses API” is not an answer they can act on, but it is the one ChatGPT gave in 4 of 6 chatbot answers. Every chatbot vendor competing for that question competes with the engine’s maker.
The Rebrand Gap
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. The engines know Chatbase well. They mostly know the old one:
| Questions | Chatbase | Intercom Fin |
|---|---|---|
| Chatbottrain a chatbot on my site and docs; add a ChatGPT-style chatbot | 20/30 | 14/30 |
| Agenttake actions; chat, email and voice; Shopify store | 8/45 | 33/45 |
| Refunds and order lookupsthe agent question alone | 2/15 | 14/15 |
That is 67% of chatbot answers and 18% of agent answers. 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:
Chatbase is the best default choice for most businesses wanting a chatbot trained on both a website and documentation.
Perplexity named Chatbase in 9 of 15 answers, more than any other tool, and chatbase.co was the most cited site in the whole run (33 citations across 18 answers). ChatGPT named it in 0 of 15.
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.
We went through Chatbase’s numbers engine by engine in a separate teardown.
Who Wrote the Pages the Engines Read?
Grounded engines search the web, then cite what they read. Most of the top 10 is vendor sites: Chatbase, SiteGPT and Botpress on their own products, support-AI startups writing “best AI agent” roundups, and OpenAI’s developer docs. Chatbase’s own site leads the list, which is why Perplexity, the engine that leans hardest on citations, names it most.
| Site the engines cited | Answers citing it | Times cited |
|---|---|---|
| chatbase.co | 18/75 | 33 |
| sitegpt.ai | 14/75 | 18 |
| ringly.io | 11/75 | 17 |
| shopify.com | 4/75 | 16 |
| sobot.io | 9/75 | 15 |
| botpress.com | 13/75 | 14 |
| developers.openai.com | 5/75 | 14 |
| usefini.com | 5/75 | 12 |
| chatbot.com | 7/75 | 10 |
| apps.shopify.com | 7/75 | 9 |
Track what AI recommends in your category, every week
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What This Means If You Sell AI Customer Support
- Measure each market on its own questions. In this run the chatbot questions and the agent questions had different leaders. A blended share can look healthy while one of them is near zero.
- Answer the 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.
- 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.
- Check ChatGPT on its own. On chatbot questions the biggest engine answered with its own maker’s tools, which a five-engine average hides.
Disclosure: openllmrank sells the kind of AI-visibility measurement used in this post.
Frequently Asked Questions
Which AI customer support tool do AI engines recommend most?
Intercom Fin. It was named in 47 of 75 answers (63%) across ChatGPT, Claude, Gemini, Perplexity and Grok, ahead of Zendesk (56%), Tidio (39%) and Chatbase (37%), in a run on 2026-10-16.
Which AI chatbot tool do AI engines recommend for training on a website?
On the two chatbot questions (30 answers), Chatbase was named in 20 and SiteGPT in 16. Intercom Fin was named in 14. On the three agent questions (45 answers), the order flipped: Intercom Fin 33, Zendesk 28, Chatbase 8.
Do AI engines recommend Chatbase?
For chatbots, yes: Chatbase was named in 20 of 30 answers about training a chatbot on a website or adding one to a site. For AI support agents, much less: 8 of 45 answers about agents that take actions, handle chat, email and voice, or support a Shopify store.
Does ChatGPT recommend its own tools for customer support chatbots?
Often, in this run. Asked how to build a chatbot on a website, ChatGPT led with OpenAI's own tools (ChatKit, File Search) in 4 of 6 answers. It named Chatbase in 0 of its 15 answers.