Honest comparison
FlowChat vs ChatGPT on our own site
We’re going to tell you when ChatGPT on our own site is the better fit. We only want customers we’re actually going to keep.
You're a support, docs, or CX team. The bot is a tool, not the product. You want the answer quality and the procurement readiness without funding a 6-month engineering project that will need ongoing maintenance.
The chatbot itself is your product or a major differentiator, you have engineering headcount available, and you need full control over prompts, retrieval, and behaviour. Or your security policy genuinely requires every component in-house.
The DIY math, honestly
Most teams who’ve done this calculation come to the same answer twice. The first time they think DIY is cheap because OpenAI/Anthropic API access is “free” to start with. The second time, after six weeks of wrestling with chunking, retrieval tuning, hallucination edge cases, multi-language coverage, and the audit log their CISO is asking for, they realise the actual cost is engineering months.
What goes into a working RAG bot: a crawler that handles JavaScript-rendered docs, a chunker that splits intelligently, an embedding pipeline, hybrid retrieval (vector + keyword), reranking, a prompt that enforces citations, a confidence gate for refusal, an NLI verifier to catch the model citing wrong sources, eval harnesses so you know when answer quality drifts, a feedback loop, an admin UI for non-engineers, an integration into your helpdesk, multi-language support, an audit log, an authentication layer, a SOC 2 questionnaire response. Plus weekly maintenance forever.
What goes into FlowChat: sign-up, paste a URL, drop two lines of HTML on your docs site. The team that owned the project is back to working on the things that actually differentiate your product.
When DIY is genuinely the right call
There are real cases. If the chatbot itself is the product — you’re building Glean, or Hebbia, or Perplexity-for-X — then yes, the IP belongs in-house. Same goes for cases where your security policy explicitly forbids third-party AI processing of your content (rare, but real in some financial-services and government contexts). And same goes for cases where you need behaviour-level control we don’t expose — e.g., a research project where the prompts are the experiment.
For everyone else — support teams, docs teams, content teams rolling out customer-facing chat — DIY is a hidden 6-month project that doesn’t end, ships worse answer quality than a managed platform on day 90, and stalls the moment the engineer who built it changes jobs.
Side-by-side
| FlowChat | DIY (ChatGPT/Claude + RAG) | |
|---|---|---|
| Cost over 12 months | $49–$2,500+/mo, fully managed | $0 software + 4–8 months of engineering time |
| Time to a working bot | <60 minutes | Weeks to months |
| Citations on every answer | Built in, never opt-out | Build it yourself |
| Refuses when uncertain | Default behaviour, tuned threshold | Build it yourself |
| Crawls + indexes your docs | Maintained pipeline, recrawl on schedule | Build it yourself |
| Audit log + procurement readiness | SOC 2 Type I, signed DPA, retention controls | Build it yourself |
| Multi-language | Build it yourself | |
| Headcount required | 0 (or 1 part-time integrator) | 1–2 engineers, ongoing |
| Total control over prompts and retrieval | Opinionated; tuneable via admin | This is the actual reason to build vs buy |
Comparison reflects a typical mid-market team building a customer-facing RAG chatbot on top of OpenAI or Anthropic APIs. Engineering effort estimates are conservative.
The honest test
If you’ve already built one and it’s working — great. Don’t replace it. If you’ve started building one and you’re three weeks in and the answer quality isn’t there yet, take an hour and try our 14-day trial against the same docs. If our bot answers your hardest 20 questions better than yours, the decision is straightforward.
See it in action.
The live demo on our homepage runs the production retrieval pipeline against this site. Ask the same questions you’d ask ChatGPT on our own site and watch how they get handled differently.