Instead of a static form, SellerChat holds a real conversation, gathers the use case details needed to qualify, and hands the conversation over, answering only from your own content.
Asks about the use case, the size of the team and the current tools, so that the inquiry is ready for your sales team.
Explains features, integrations and how your plans are built from your own pages. Where the material has no data, it is built to say so plainly.
Gathers what was said and the preferred way to get in touch and hands the conversation to your team.
Assistant on your website
Service page
SaaS buyers compare several tools and book a demo with the one that engaged them first. The conversation answers from your material, works out the use case and hands over the demo request. The widget promises no feature or integration that is not in the material.
No separate implementation project is needed. You gather the material, paste one line of code onto your pages, and the conversation starts answering from that material.
It studies your features, your integrations and your FAQ, the answers your team gives every day.
One line of code on your pages. You do not have to rebuild the site.
Buyers get an answer without waiting for a sales rep, and the chat records the use case, the size of the team and the current tools.
The conversation reaches your team with its context: what the person asked, what has already been explained and what is still unknown.
A visitor's question comes up before they are ready to leave contact details. The conversation answers it from your material, and everything else goes to a sales rep.
Create an account, point SellerChat at your own content, and the conversation will start where the visitor is now, while a sales rep gets it with the context.
How the chat works out use cases, what it records and when it brings in a person.
It answers only from your docs and your FAQ. Where the material has no data, it is built to say so plainly.
The use case, the size of the team, the current tools and contact details, everything your team needs for a demo or to set up a trial.
A website address, a confirmed email, material for the knowledge base and one line of code on your pages. The ready code appears in your client account together with the estimate.
A B2B buyer rarely asks about features. They are checking whether this will fit the way they already work.
Not a list of capabilities, but a concrete use case: what exactly they will be doing in the product every day.
Which systems are already in use, what will have to change, and who on the customer side will own it.
Where it is stored, who has access, and what happens if they stop using the product.
Not the rollout time in days, but how much of the customer's own people it will take.
A request for an example of a similar size and industry. A person answers that one.
The buyer is comparing several tools and wants to know whether yours fits their process, not which features it has.
Assistant on your website
Product, task management
Two situations where answering from the material is riskier than handing over to a person.
Until an engineer has looked at what the customer runs, any "yes" turns into a promise somebody has to keep.
The widget has no data about someone else's product, and comparing from memory is invention with a high price.
Agentic AI is a new model of work, a new model of productivity and a new economic model.
To get the real value out of AI, the work has to be designed for it from the start rather than bolted on afterwards.
Focus on making your customer as successful as possible, and your own success will follow.
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.