AI Chatbot

An AI assistant that actually knows your business.

Train it on your website, FAQ, and knowledge base in five minutes. It answers visitors 24/7 in your tone of voice, links to the right docs, and hands off to a human the moment judgment is needed — without losing context.

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Train

Crawl your website, paste FAQ text, point at help docs — ready in minutes.

Answer

Grounded in your real content, with citations — no hallucinations.

Hand off

Escalate to a human with the full context already in their queue.

Training

Five minutes to a real product expert.

Generic AI sounds generic. We ground every answer in your real content — so the bot speaks in your tone, cites your pricing, and points at your docs.

  • Crawl your website (up to 50 pages by default, 1,000+ on higher tiers)
  • Import your existing FAQ — questions and answers stay paired
  • Paste raw text for the things that aren’t on a public page yet
  • Re-crawl on a schedule — AI stays fresh as your site changes
  • Test answers privately before exposing them to real visitors
AI training source list
Training sources — websites, FAQ, raw text, KB articles.
The first screen

Designed so visitors actually use it.

Most chatbots fail because the first screen is a blank input. Ours gets visitors talking with starter prompts, a clear bot identity, and a friendly disclaimer about what AI can and can’t do.

Greeting
"Hi! What can I help with today?"

Sets tone — friendly, focused, not gimmicky.

Starter prompts
3-6 clickable suggestions

"How do I install?" · "Pricing" · "Talk to a human" — trains the visitor on what the bot is good at.

Bot identity
Name, avatar, disclaimer

Set realistic expectations — visitors know they’re talking to AI.

AI start screen with prompt chips
Start screen — greeting, prompt chips, bot identity, disclaimer.
Handoff

Knows when to step aside.

When the visitor asks for a human, when confidence drops, or after three unresolved turns — the bot escalates. The agent picks up the same thread with the full transcript already in front of them.

  • "Talk to a human" / "agent" keyword detection
  • Confidence threshold (configurable)
  • N-turn unresolved trigger
  • Department routing on handoff
Safety

No hallucinations on your customers.

Every answer is grounded in your training sources. If the bot doesn’t know, it says so — and offers to escalate. No made-up policies, no invented prices, no off-brand advice.

  • Retrieval-augmented (RAG) grounding
  • Citations link back to source pages
  • Out-of-scope detection & safe fallback
  • Per-message audit log for every answer
AI conversation with citations
Answer with citations
AI handoff to human agent
Handoff to a human
AI test playground
Test playground
2026 buyer reality

What modern AI shortlists expect after Intercom and Zendesk demos.

As of May 7, 2026, the market is not grading AI only on answer quality. Buyers now ask whether the bot can take action, show QA signals, and operate inside a broader support workflow instead of a single chat box.

See dated market check
Expected now

Grounded answers, clear human handoff, and visible controls over spend, training sources, and unsafe fallback behavior.

Still a gap

Cross-system actions, AI QA analytics, and channel-wide automation depth are where suite vendors still show a broader story.

Best fit today

Website-first teams that want fast deployment, grounded answers, and predictable AI operations before they need a full service suite.

What ships now

Credible AI for the website-support workflow.

  • Train on website pages, FAQ entries, raw text, and knowledge-base content.
  • Use grounded answers with citations, safe fallback behavior, and configurable handoff rules.
  • Keep the transcript inside the same operator flow so agents inherit context instead of restarting the conversation.
  • Control cost with bring-your-own-key and per-site spend limits when that pricing model fits better than per-resolution billing.
What closes the gap next

The staged build plan buyers can actually believe.

1. AI actions: create ticket, tag user, collect fields, assign team, and call signed webhooks or external APIs.
2. AI QA + analytics: expose answer review, failure clusters, deflection quality, and escalation reasons in a management view.
3. Broader queue reach: reuse the same workflow across shared inbox surfaces instead of building a second AI stack per channel.
Gap list

The AI story is credible, but buyers still probe three gaps.

Checked May 7, 2026
Gap 1

Action-taking is still narrower than Intercom and Zendesk demos. Buyers ask whether AI can route, tag, collect fields, open follow-up work, and call external systems.

Gap 2

Management QA is quieter than suite vendors. Buyers expect visible answer review, escalation reasons, and failure-cluster reporting before expanding AI coverage.

Gap 3

Channel reach still centers on the website workflow. Wider email and messaging automation inside one inbox is the next trust step for AI buyers.

What to emphasize now

Position MyLiveChat AI as grounded, affordable, and operationally predictable for website-first support, then show a believable next path through signed webhooks, shared inbox continuity, and staged workflow automation.

Pairs with

AI works best alongside the rest of MyLiveChat.

Knowledge Base

The same articles power both the public help center and the bot’s answers.
Live Chat

Human handoff, multi-chat console, transcripts — the human side of the same widget.
Proactive Chat

Invitations get visitors in the door — AI gives them an instant first answer.
Shared Inbox

The next AI step is broader queue automation, not a disconnected second bot experience.
Try it on your real content

5 minutes to a working AI agent.

Free trial, no credit card. Train on your own site, talk to it in a private playground, ship when you’re ready.

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Free forever for 1 agent

Give every visitor an instant way to reach you.

Launch live chat, connect your knowledge base, and add AI answers when you are ready. No credit card, no trial clock.

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