The difference is not the model, it is where the answer comes from and what happens when there is no answer.
The model was trained on the whole internet, so it always has a version of an answer. It will assemble that version about your lead times, your terms and your scope of work, and it will sound confident.
A visitor cannot tell your policy from a guess. They remember a figure, bring it to your sales rep, and from there you either honor somebody else's promise or explain why it was never yours.
The source of an answer is the pages, terms, price list and common questions that you marked. The conversation does not step outside that material.
When the answer is not in there, you see it straight away: the conversation says it does not know and passes the question to a person. As a by-product you get a list of what your knowledge base is missing.
A conversation on a service page. The visitor asks about something the material does not cover, and that shows immediately rather than after a contract is signed.
Assistant on your website
Service page
How common this already is
Normally nobody finds out about missing data: the visitor left, and you have no idea what they were asking.
They are told that a person handles this question, and the conversation is passed on together with what they have already said. Nobody has to go through it all again.
Every gap is a question your site does not answer today. Questions like that used to leave with the visitor.
A by-product of conversations is a list of the questions your site does not answer today.
You see what visitors actually ask about, and it is often not what the site puts the emphasis on.
The same objection coming up again and again is a hint to answer it right on the page.
If a conversation regularly runs into a question the material does not cover, you know what to add next.
The conclusions are built on saved conversations, not on assumptions about what the visitor wanted.
The future of talking to customers is engaging through every channel there is: phone, email, chat, the web and social networks.
To get the real value out of AI, the work has to be designed for it from the start rather than bolted on afterwards.
Everyone assumed that people who have vibe were given the ability to code. What actually happened is that people who can code were given vibe
Upload your material, ask about lead times and exceptions, and see where it says "I do not know".
Set up the first conversation on the pages that matter: what to explain, which questions to ask, when to stay quiet and what to pass to your team.