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What is SiteGPT?
SiteGPT is a customer-support chatbot platform. You point it at your own content—a website URL, uploaded files, or pasted text—and it builds a personalized AI assistant that answers visitor questions from that material. The pitch is a ChatGPT-like experience scoped to your product rather than the open web.
What it actually does
- Trains on your content: you supply the source material; the bot answers from it instead of giving generic responses.
- Embeds where your customers are: marketing site, inside the app, or a help center, on as many sites as you like.
- Improves over time: chat history and feedback are used to refine answers.
- Quick prompts: suggested starter questions to get conversations going.
- Weekly digest: a Monday email summarizing volume, top topics, and questions the bot could not answer.
- Human handoff: visitors can escalate to a live agent when the bot is out of its depth.
Who it suits
Small support teams drowning in repetitive tickets, SaaS companies with substantial help documentation, and anyone who wants deflection without building a custom bot. If your product knowledge lives mostly in people's heads rather than written content, the training step will be harder and the answers weaker.
Trade-offs to weigh
A content-trained bot is only as good as the content you feed it—stale docs produce stale answers. The escalation path matters because no retrieval system covers everything, and the unanswered-questions digest is arguably the most useful feature: it tells you what to write next. Multilingual coverage and pricing that scales with usage are worth checking against your own traffic before committing.
Next step
Gather your three or four most authoritative help articles or docs pages, then run a trial against real questions your team answered last month. If the bot handles the routine ones and cleanly hands off the rest, it is doing its job.
How do I train a SiteGPT chatbot on my website content?
Training a SiteGPT chatbot starts with feeding it the content you want it to answer from, then embedding it on your site and refining it as real conversations come in. SiteGPT describes this as a three-step process: sync training data, install on your site, and learn and refine.
H3 How the training works
- Sync your training data. Enter your website URL for SiteGPT to scan, or upload files, or paste in raw text content. This is the core step — the chatbot answers based on whatever you feed it, so the quality of this content largely determines the quality of its answers.
- Install the chatbot on your site. You can embed it on as many sites as you want — a marketing site, in-app, or a help center.
- Learn and refine. Use real chat history to improve the bot by giving feedback, so it improves with each interaction.
H3 What makes training more effective
- Start from your help center and FAQs. These are already written in question-and-answer form, which maps closely to how visitors will ask things.
- Include the questions you wish people asked. SiteGPT's "Quick Prompts" feature lets you seed conversations with common questions or ones that surface product value.
- Watch the gaps. The weekly digest email reports the topics visitors asked about most and the questions the bot could not answer — treat that unanswered list as your next round of training content.
- Keep a human fallback. SiteGPT supports escalating a conversation to a live agent, so unresolved questions don't dead-end.
H3 A practical decision criterion
If most of your support volume is repetitive questions already answered somewhere in your documentation, a content-trained bot like this is a reasonable fit. If your answers live mainly in people's heads or in private systems, you'll need to write that content down first — no chatbot can train on what you haven't published.
As a next step, before committing, gather your top 20 recurring support questions and check whether each has a clear written answer on your site. That list is both your training set and your benchmark for judging the bot afterward. You can see the current plans and trial terms at [[sitegpt.ai|SiteGPT]].
Can SiteGPT integrate with my existing help desk or CRM?
Yes, SiteGPT is built to hand conversations off to your existing tools rather than replace them. The site lists "direct integrations with your favorite tools" and an escalation feature that lets a visitor move from the AI chatbot to a live agent "at the push of a button." The exact list of supported help desks and CRMs is not spelled out in the page text, so verify your specific platform before committing.
What the product itself claims
- Direct integrations with common tools, positioned as part of the setup.
- Escalation to a human when the bot can't resolve a query, described as a hybrid AI-plus-agent approach.
- Embeddable on multiple surfaces: marketing site, in-app, help center.
- Training from a URL scan, uploaded files, or pasted raw text.
How this typically plays out
If your help desk is the system of record, the useful pattern is: SiteGPT deflects routine questions, then passes the conversation — with context — to an agent in your existing queue. That keeps your team's workflow intact and avoids a second inbox to monitor.
A concrete scenario: a SaaS company using Zendesk for tickets and HubSpot for CRM data could let SiteGPT answer pricing, setup and troubleshooting questions from its trained content, then escalate billing disputes to a live agent. Weekly digests flag unanswered questions, which become new training content or help-center articles.
Trade-offs to weigh
| Approach | Strength | Weakness |
|---|---|---|
| Native integration | Conversations stay in your existing help desk | Depends on which platforms are officially supported |
| Escalation only | Works with almost any tool via a handoff link or email | Agent loses some chat context |
| Standalone chatbot | Fastest to launch | Creates a separate channel your team must watch |
Next step
Check the integrations list on SiteGPT against your stack, then run a small pilot: train it on your help center, enable escalation to one agent, and review the weekly digest after two weeks. If your help desk isn't natively supported, ask whether escalation can route through email or a webhook — that usually covers the gap.
How much does SiteGPT cost and what does the free trial include?
SiteGPT's pricing page is the only reliable place to see current plan costs, since the page evidence here doesn't list specific prices or tier limits. What the site does state is that a 7-day free trial is available and you can cancel anytime, with "friendly pricing as you scale" implying costs rise with usage or features rather than a single flat rate.
SiteGPT
How does SiteGPT handle questions it can't answer or escalate to a human agent?
SiteGPT handles gaps in its knowledge in two connected ways: it shows you where those gaps are, and it lets visitors hand the conversation to a person.
Escalation to a human. The page describes an "Escalate to Human" feature: while the AI is meant to handle most inquiries, a visitor can transition the conversation to a live agent "at the push of a button." SiteGPT frames this as a hybrid approach — the bot covers routine volume, and a human takes over when the conversation needs one. Practically, that means your team still needs someone available to receive those handoffs; the button itself doesn't staff your inbox.
Finding the questions it couldn't answer. The "Weekly Digest" is the other half. Each Monday, the team receives last week's numbers, the most-asked topics, and specifically the questions the chatbot could not answer. That unanswered-questions list is the useful part: it tells you which help-center article to write, which product detail to add to the training data, or which question should become a quick prompt.
Improving over time. The third step in SiteGPT's setup process is "Learn and refine" — using real chat history and feedback to improve the chatbot with each interaction. Combined with the digest, this creates a loop: notice the gap, add or correct the content, and the bot answers it next time.
A concrete scenario. Suppose you run support for a small SaaS product. A visitor asks about a billing edge case your help center never documented. The bot can't answer, so the visitor escalates to a human, who resolves it manually. The following Monday, that question appears in your digest. You write a short help article, add it to the training data, and the next visitor with the same question gets an instant answer instead of a ticket.
Decision criteria. This setup suits teams that want to reduce repetitive tickets but aren't ready to remove humans entirely. It's less suited to situations where nobody can monitor escalations during business hours, or where you won't act on the digest — the unanswered-questions report only pays off if someone owns the follow-up.
Next step: before committing, test the handoff yourself. Ask the bot something clearly outside your content, then check whether escalation reaches a real person quickly and whether the exchange shows up in your reporting. That tells you more than any feature list.
What analytics and insights does SiteGPT provide about chatbot conversations?
SiteGPT's analytics focus on a weekly email digest rather than a live dashboard. Each Monday, the team receives last week's numbers, the topics visitors asked about most, and the questions the chatbot could not answer.
What the digest gives you
- Volume and performance numbers from the previous week, so you can track whether the bot is absorbing more of your incoming questions over time.
- Top conversation topics, which show what visitors actually care about — often different from what you assumed when writing help content.
- Unanswered questions, the most actionable part. These are gaps in your training data, and each one is a candidate for a new help article, FAQ entry or uploaded document.
How to use it
Treat Monday's digest as a short triage session. Scan the unanswered list, pick the questions that appear repeatedly or touch revenue-critical flows, add the missing content, then check next week whether those questions disappear. The topics list is also useful for prioritising documentation and product messaging.
Where it fits
If you need real-time dashboards, per-conversation transcripts or agent-level reporting, the weekly digest alone may feel thin — you would want to confirm what else is available on the SiteGPT pricing and product pages. For a small support team that mainly wants to know what customers are asking and where the bot fails, a scheduled summary is often enough, because it arrives without anyone remembering to open a report.
One practical caveat: weekly granularity means a spike on a launch day or an outage won't be visible until the following Monday. If you run frequent campaigns, pair the digest with a quick manual skim of recent chat history, which SiteGPT also uses for refining the bot through feedback.
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