If you want an AI agent answering questions on your website this week, two names come up again and again: Chatbase and SiteGPT. Both let you point a tool at your site or docs, wait a few minutes, and embed a chat widget that actually knows your content. No code required. We build these agents for clients regularly, and the honest truth is that the right pick depends less on a feature checklist and more on one question: are you trying to capture leads cheaply, or are you trying to build an agent that takes actions inside your other tools?
This is a practical comparison for 2026, not a feature dump. Here’s what each does well, where each falls down, and how to choose.
The 30-second version
SiteGPT is the cleaner, cheaper starter pick. Flat pricing, lead capture built in, fast to ship. Chatbase is the heavier platform: deeper integrations, an “AI Actions” layer that lets the bot do things (book a call, update a Stripe subscription, create a ticket), and a much larger ecosystem — but with a credit-based pricing model that can surprise you and a notable branding-removal fee.
| Factor | Chatbase | SiteGPT |
|---|---|---|
| Pricing model | Credit-based (per message, varies by AI model) | Flat message quotas |
| Entry paid plan | ~$40/mo (Hobby), $120/mo (Standard) | ~$39/mo (Starter, 4,000 messages) |
| Free tier | Yes (50 credits, 1 agent) | No |
| Remove “Powered by” badge | Paid add-on (~$99–199/mo) | Included on paid plans |
| Actions / integrations | Strong — Stripe, Calendly, Slack, Zendesk, Zapier, custom API | Lighter — mainly via Zapier + custom API |
| Lead capture | Available | Built in and front-and-center |
| Best for | Scaling, action-taking agents, multi-tool workflows | Cheap, fast support + lead-gen bots |
Prices shift, so treat these as 2026 ballparks and confirm on each site before you commit. The shape of the difference — flat vs. credit-based — is what matters and that has been stable.
How they’re actually the same
It’s worth being clear about this, because a lot of comparison articles oversell the gap. For the core job — a website chatbot that answers from your content — these two are roughly 80% the same product:
- Training is the same idea. You give it a website URL to crawl, upload PDFs/docs, paste text, or add a sitemap. Both re-crawl on a schedule so the agent stays current.
- Embedding is the same. You copy a one-line script tag into your site (or use a WordPress/Webflow/Shopify embed) and a chat bubble appears. Five minutes, no developer.
- Both run on modern models. GPT and Claude families are available on both, and answer quality on clean, well-structured content is comparable. The model matters less than the quality of what you feed it.
So if you only need a basic FAQ bot for a small site, either tool will do the job and you should pick on price and setup speed — which points to SiteGPT. Don’t overthink it.
Where Chatbase pulls ahead: actions and ecosystem
Chatbase’s real differentiator is its AI Actions layer. This is the line between a chatbot (answers questions) and an agent (does work). With Actions, the bot can hit an external API mid-conversation: check an order status, book a meeting through Calendly, extend a trial or update a subscription via Stripe, or open a Zendesk ticket. On the Standard plan you get a handful of actions enabled; higher tiers unlock more.
Concretely, here’s the kind of flow that’s straightforward in Chatbase and fiddly in SiteGPT:
- Visitor asks, “Where’s my order #12345?”
- The agent calls your order-status API with that number.
- It reads the response and replies, “Shipped yesterday, arriving Thursday” — and offers to email tracking.
That round-trip to a live system is Chatbase’s home turf. It also has the broader native integration list (Slack, Zapier, WhatsApp, Messenger, Zendesk), so if you want the agent answering in Slack and on your site from one knowledge base, it’s less duct tape.
The catch is pricing. Chatbase runs on message credits, and the credit cost depends on the model. A premium model like GPT-4-class can burn ~20 credits per reply while a cheaper model burns 1. That means your real monthly cost is a function of traffic and model choice, which is hard to predict before launch. And removing the “Powered by Chatbase” badge is a paid add-on that, on the Standard plan, can nearly double your bill. Budget for it from day one if a clean white-label matters to you.
Where SiteGPT pulls ahead: price, simplicity, and leads
SiteGPT’s pitch is “predictable and out of the way.” You pay a flat fee for a message quota — no credit math, no per-model surprises — and on paid plans the branding is gone without an upcharge. At small-to-mid traffic, and especially at scale, this usually comes out meaningfully cheaper than Chatbase for the same volume.
The second thing SiteGPT does well is lead capture. It’s built to qualify visitors and hand off — collect an email, summarize the conversation, route it onward. If your goal is “turn website traffic into booked calls or captured emails,” that workflow is front-and-center rather than something you assemble.
Where SiteGPT is weaker: the action/integration layer is thinner. You can still trigger things through Zapier or custom API calls, but it’s not the centerpiece, and complex multi-step “do something in another system” flows take more effort. There’s also no free tier, so you can’t kick the tires at zero cost the way you can with Chatbase.
When NEITHER is the right tool
Being honest about the ceiling: both of these are “knowledge-base chatbot” products with a light automation layer bolted on. If your needs go past that, look elsewhere before you fight the tool.
- You need complex, branching, multi-step automations (deep CRM logic, multi-system orchestration, conditional routing across teams). A dedicated agent builder or a workflow tool (n8n, Make, Voiceflow, or a custom build on the OpenAI/Anthropic APIs) will fit better than either of these.
- Data residency, on-prem, or strict compliance. Both are hosted SaaS. Regulated industries with hard hosting requirements should evaluate self-hostable options.
- You just need a static FAQ. If answers never change and traffic is tiny, a well-written FAQ page plus a cheap embedded search may beat paying any monthly fee.
A 20-minute test to decide for yourself
Don’t pick from a table — run a bake-off. It’s fast and it removes all the guesswork:
- Sign up for Chatbase’s free tier and SiteGPT’s trial.
- Feed both the same source: your real website URL plus your top 5–10 support docs.
- Write down 15 real questions customers actually ask, including 3 tricky edge cases.
- Ask all 15 to both agents. Score accuracy, how it handles “I don’t know,” and tone.
- If you need actions (bookings, order lookups, subscription changes), prototype one in Chatbase and see how painful it is.
- Now compare your projected monthly cost at your real traffic — for Chatbase, pick the model you’d actually run and do the credit math.
Whichever answers your 15 questions better, fits your budget, and supports the one workflow you care about — that’s your tool. The bake-off usually makes the choice obvious within an hour.
FAQ
Can I switch from one to the other later?
Yes, and migration is cheaper than people fear. Your knowledge base lives in your website and source documents, not locked inside the tool — so re-training a new agent is mostly re-pointing it at the same URLs and files. The real switching cost is re-embedding the widget (a one-line change) and rebuilding any custom Actions or integrations you set up. If you’ve invested heavily in Chatbase Actions, that’s the part that doesn’t come along for free.
Which is cheaper, really?
For most small and mid-size sites, SiteGPT tends to be cheaper because of flat pricing and no branding upcharge. Chatbase can be competitive if you run a low-cost model and don’t need to remove the badge, but its credit system makes costs harder to predict, and premium models plus white-labeling add up fast. If predictable billing matters to you, that itself is a reason to lean SiteGPT.
Will the AI make things up?
Both can hallucinate if your source content is thin, contradictory, or out of date — the model fills gaps. The single biggest quality lever isn’t the tool, it’s your content. Clean, well-structured, current docs produce a reliable agent on either platform. Always set a clear fallback message (“I’m not sure — let me connect you to the team”) and test edge cases before going live.
Next step
Pick your one deciding factor. If it’s cheap, fast, lead-focused support, start with SiteGPT today. If it’s an agent that takes actions across Stripe, Calendly, Slack, or your own API, spin up Chatbase’s free tier and prototype that one action first. Either way, run the 20-minute bake-off above with your real content before you pay — it’s the difference between guessing and knowing, and it costs you nothing but coffee.