Use cases · Sales
A website agent that qualifies leads
A chat agent on your site answers questions from approved content, asks the qualifying questions your team would ask, and books or routes the lead with a summary.
Where it starts
The trigger.
A visitor opens the chat on your website.
How it runs today
- Contact forms ask for too little, so every lead needs a discovery call.
- Good leads wait for a reply while poor-fit ones take up calendar time.
- Answers to common questions vary by who replies.
The workflow
Four bounded steps.
Each step has an owner and a stop rule.
- 01 / Answer
Respond from approved website and product content only, with sources.
- 02 / Qualify
Ask the questions your team would: role, problem, timeline, budget range.
- 03 / Route
Book qualified leads into the calendar; send others the right resource.
- 04 / Summarize
Write the conversation and answers into the CRM for the salesperson.
Where people stay in control
Approval points.
- Pricing, commitments and exceptions hand off to a person.
- The agent never promises anything the approved content does not say.
How we would measure it
Against a baseline.
Measured before and after, on the same work.
Share of chats that end qualified and booked.
Time from first message to booked call.
Sales time spent on poor-fit calls.
Related
Go deeper.
Automate the repeatableGive recurring work an owner, a trigger, and a stop rule.Agents & automationLead intake, CRM updates, alerts and scheduling handled by bounded agents, with a person in the loop.Embeddings and feature vectorsHow models turn text, images and records into numbers that can be compared.Qualify inbound leads with an AI agentA four-step playbook to answer, qualify and route website inquiries with an AI agent, so good-fit buyers reach a person faster and nothing is promised that sales has not approved.What Is an AI Agent for Business?What is an AI agent in a business setting?
More use cases
Other places to start.
Sales
Lead intake to CRM
New inquiries are enriched, summarized and written to the CRM with a suggested next step, and the right person is alerted.
See the workflow SalesProposal and RFP first drafts
Draft proposals and questionnaire answers from your approved past answers, so the team edits a strong first draft instead of starting blank.
See the workflow SalesSales call preparation brief
Before each booked call, assemble a one-page brief from the CRM, the inquiry and public company information, so the seller starts the call prepared.
See the workflowAn illustrative workflow pattern, not a result from a specific customer.
Bring the messy version
One workflow.
A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
---
title: "A website agent that qualifies leads: AI Use Case"
description: "A chat agent on your site answers questions from approved content, asks the qualifying questions your team would ask, and books or routes the lead with a summary."
url: https://lidvizion.ai/use-cases/website-lead-qualification-agent/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Use cases](https://lidvizion.ai/use-cases/) · Sales
# A website agent that qualifies leads
A chat agent on your site answers questions from approved content, asks the qualifying questions your team would ask, and books or routes the lead with a summary.
[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Fwebsite-lead-qualification-agent%2F#write) · [Automate the repeatable](https://lidvizion.ai/services/automation/)
Where it starts
## The trigger.
A visitor opens the chat on your website.
How it runs today
- Contact forms ask for too little, so every lead needs a discovery call.
- Good leads wait for a reply while poor-fit ones take up calendar time.
- Answers to common questions vary by who replies.
The workflow
## Four bounded steps.
Each step has an owner and a stop rule.
1. 01 / Answer
Respond from approved website and product content only, with sources.
2. 02 / Qualify
Ask the questions your team would: role, problem, timeline, budget range.
3. 03 / Route
Book qualified leads into the calendar; send others the right resource.
4. 04 / Summarize
Write the conversation and answers into the CRM for the salesperson.
Where people stay in control
## Approval points.
- Pricing, commitments and exceptions hand off to a person.
- The agent never promises anything the approved content does not say.
How we would measure it
## Against a baseline.
Measured before and after, on the same work.
### Share of chats that end qualified and booked.
### Time from first message to booked call.
### Sales time spent on poor-fit calls.
Related
## Go deeper.
- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Agents & automation](https://lidvizion.ai/work/#agents-automation): Lead intake, CRM updates, alerts and scheduling handled by bounded agents, with a person in the loop.
- [Embeddings and feature vectors](https://lidvizion.ai/resources/basics/embeddings-feature-vectors/): How models turn text, images and records into numbers that can be compared.
- [Qualify inbound leads with an AI agent](https://lidvizion.ai/guides/qualify-inbound-leads-with-an-ai-agent/): A four-step playbook to answer, qualify and route website inquiries with an AI agent, so good-fit buyers reach a person faster and nothing is promised that sales has not approved.
- [What Is an AI Agent for Business?](https://lidvizion.ai/answers/what-is-an-ai-agent-for-business/): What is an AI agent in a business setting?
More use cases
## Other places to start.
[All use cases](https://lidvizion.ai/use-cases/)
- [Lead intake to CRM](https://lidvizion.ai/use-cases/lead-intake-crm/): Sales New inquiries are enriched, summarized and written to the CRM with a suggested next step, and the right person is alerted.
- [Proposal and RFP first drafts](https://lidvizion.ai/use-cases/proposal-and-rfp-drafting/): Sales Draft proposals and questionnaire answers from your approved past answers, so the team edits a strong first draft instead of starting blank.
- [Sales call preparation brief](https://lidvizion.ai/use-cases/sales-call-prep-brief/): Sales Before each booked call, assemble a one-page brief from the CRM, the inquiry and public company information, so the seller starts the call prepared.
An illustrative workflow pattern, not a result from a specific customer.
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)