CustomGPT alternatives: SiteGPT, DocsBot and other chatbots trained on your docs

Updated November 6, 2026

CustomGPT.ai, SiteGPT and DocsBot all turn your content into an AI chatbot, but they meter usage very differently. Compare CustomGPT alternatives on cost per answer, freshness, citations and what happens when a person is needed.

Searches for CustomGPT alternatives usually come from someone who already has the basic idea working: upload your docs or crawl your site, and an AI chatbot answers questions from them. The questions that follow are more specific. Is the query limit enough? Do I need ten agents or one good one? What happens when a customer needs a human? This category, which also includes SiteGPT, DocsBot and Chatbase, looks similar from the outside and differs a lot in pricing and in how far each tool goes beyond answering.

What CustomGPT.ai is. CustomGPT.ai is a no-code platform for building AI agents from your own content, pitched at governed assistants for businesses. Its strongest selling point is grounding: every response links to its source, and the product is built around accuracy and avoiding made-up answers. Agents can be embedded on a website, used through an API, and connected to tools such as Google Drive, HubSpot and Notion. Its pricing page did not mention human handoff or live chat when we checked, so confirm that directly if you need it.

How CustomGPT is priced. Standard is $99 a month billed monthly or $89 billed annually, with 1,000 queries a month, 10 agents, up to 5,000 documents per agent and 3 team members. Premium is $499 monthly or $449 annually, with 5,000 queries, 25 agents, 20,000 documents per agent, automatic website re-sync, removal of CustomGPT branding and Zapier. Enterprise is custom and adds SSO, role-based access and a model selector. There is a 7-day trial that requires a card. The shape is generous on content and agents, and comparatively tight on queries.

Why people look for alternatives. The most common trigger is the query allowance: 1,000 queries a month on Standard works out to about ten cents per answer, which is fine for an internal knowledge tool and expensive for a busy public website. Others want a free plan to test on, need website content to stay in sync without paying for Premium, or discover that answering questions was only half the job and they also need a person to step in, an inbox and tickets. Teams with one website rarely need ten or twenty-five agents.

1. SiteGPT. SiteGPT focuses on website chatbots and prices by AI messages with a choice of model. Starter is $59 a month billed monthly or $39 a month billed yearly, with one chatbot, 4,000 messages on GPT-4.1-mini (or 400 on GPT-4.1) and 1,000 pages. Growth is $129 monthly or $79 yearly with two chatbots, 10,000 mini messages and 10,000 pages, plus an iOS live inbox with one-tap takeover and integrations with Crisp, Freshdesk, Slack and Zoho SalesIQ. There is no free plan, the trial needs a card, and branding removal is an add-on at $39 a month billed annually. It is a good fit for a single website with steady traffic.

2. DocsBot. DocsBot is popular for documentation and product-support bots and has a free plan with 100 AI credits, one bot and 50 source pages. Paid plans are Personal at $49 a month with 5,000 credits, Standard at $149 with 15,000 credits, 3 bots, escalation ticket creation and Help Scout integration, and Business at $499 with 60,000 credits and 10 bots; annual billing gives two months free. Credits are not a flat message count: a standard message on a base model is about one credit, and larger models and AI actions use more. Check which model you plan to use before comparing.

3. Chatbase. Chatbase is the best-known tool in this category and is quick to set up. It lists Hobby at $40 a month ($32 billed annually) with 700 message credits, Basic at $150 ($120 annually) with 4,000 credits and the Chatbase helpdesk inbox, and Business at $500 ($400 annually) with 15,000 credits. It is a sensible middle ground if you want a docs-trained agent plus a built-in place for humans to pick up conversations, provided you are on Basic or above.

4. Intercom Fin. If your support already runs on Intercom, or on a helpdesk Fin connects to, Fin is the docs-trained agent built into a full support platform. Intercom lists it at $0.99 per outcome with a minimum monthly commitment, separate from seat plans. You pay when the AI resolves something rather than per question, which is attractive at low volume and grows quickly as automation succeeds. It is overkill if all you want is a chatbot on a docs site.

5. ZChat. ZChat answers from the same kinds of content: a website crawl (including pages behind a login), files, help-center articles and Q&A pairs with alternate phrasings, and it says it does not know rather than guessing. The difference is what surrounds the AI: same-thread handoff to a person, a shared inbox, tickets and a help center. Pricing is one flat seat price, $29 a month on managed AI or $15 with your own AI provider key, with 5,000 AI messages a month per workspace and a free plan with 500. It is built as one support workspace, not a factory for dozens of separate agents.

Compare cost per answer, honestly. Divide price by included answers at the model you will actually use. CustomGPT Standard is roughly $0.10 a query at monthly billing. SiteGPT Starter on GPT-4.1-mini is about $0.015 a message monthly, or $0.01 billed yearly, but ten times that on GPT-4.1. DocsBot Personal is about $0.01 a credit on a base model. Chatbase Hobby is about $0.06 a credit at the monthly price. One ZChat seat on managed AI is $29 for up to 5,000 AI messages a month, under $0.01 if you use the allowance. Then remember that a customer conversation often takes two to four answers.

Test grounding on your own content. Before choosing, load the same twenty pages into each trial and ask ten questions: five the docs answer clearly, three that need two pages combined, and two the docs do not cover at all. Score each reply as correct, honestly unsure or confidently wrong. Check that citations point to the right page rather than just any page. The two uncovered questions matter most; a chatbot trained on your docs earns trust by refusing to invent the parts your docs leave out.

Check freshness. Your content changes. Ask how each tool re-crawls your site, on which plan, and how quickly an edited page changes the answer. On CustomGPT, automatic website re-sync is listed on Premium. Wherever possible, test it: change a price on a staging page, trigger a sync, and ask the bot. A docs chatbot that is accurate on launch day and stale three months later is a slow-motion support problem.

Decide what happens after the answer. For an internal knowledge assistant or a docs search box, answering is the whole job, and the tools above that focus on retrieval quality are a good fit. For customer support, some conversations need a person: a refund, a bug, an upset customer. Ask whether handoff happens in the same thread, who receives it, where the transcript lives, and whether a ticket can follow up later. This is the line between a chatbot trained on your docs and a support product.

When to stay with CustomGPT. Stay if you run several distinct assistants, such as one per product, department or client, if you have very large document collections, or if source citations and grounding are the feature you value most and query volume is modest. Its document and agent allowances are generous, and for internal knowledge, research or documentation use, its price per query matters less than its accuracy.

Where ZChat fits, and where it does not. ZChat fits a business with a customer-facing website that wants the AI to answer from its content and a person to take over in the same conversation, with an inbox, tickets and a flat bill. It does not fit someone who wants many separate agents for different clients, a white-label reseller setup, or a pure RAG API for an internal tool, where CustomGPT, DocsBot or SiteGPT may suit better. If your bot already answers well and you mainly need humans behind it, that is the gap ZChat is built for.

CustomGPT, SiteGPT, DocsBot and Chatbase all answer from your content; they differ mainly in what they meter: queries, model-weighted messages or credits.

Work out cost per answer at the model you will use, then multiply by answers per conversation, not just conversations.

Test grounding on questions your docs do not cover, check how fast edits reach answers, and decide whether you need human handoff.