A contact form asks everyone the same fields, and you still have to email back and forth to find out whether an inquiry is worth a call. With AI lead qualification, visitors describe what they need in their own words. The AI asks the follow-up questions your team would ask, checks the answers against your criteria and sends a structured summary to your CRM, so your team knows right away who to call first.
Most contact forms produce messages like "Can you call me?" or "What does this cost?". Someone on your team then has to email back to find out what the person needs, whether the budget fits and when they want to start. Good leads wait, and time goes to inquiries that were never a fit.
An AI intake does that first conversation for you. Visitors describe their need in their own words, the AI asks your follow-up questions one at a time, and your team receives a lead with everything filled in, labelled qualified, maybe or not a fit, with the reason why.
Live demo
This is the same intake I build for your website. Here it asks the questions I need to assess an inquiry and sends me a summary. On your site, it asks your questions and the summary goes to your CRM.
Hi! What can Etienne help you with? Describe it in your own words, for example a problem with your visibility or a plan to enter a new market.
Your answers are processed by an AI model (Claude by Anthropic). Your summary and contact details are only sent to Etienne once you agree. Privacy
A visitor writes: "We're looking for a family home near Utrecht." The AI asks the questions an agent would ask, one at a time:
Your agents get a lead in the CRM with all of this in separate fields, labelled qualified, and a suggested next step: a viewing, a valuation of their current home or a call with a mortgage advisor.
The same intake works for any business where the first conversation is mostly questions. The AI collects what your team needs to make the right proposal, so the first call can be about the solution instead of the basics.
Better leads, sorted for you
Every lead arrives with a label and the reason: qualified, maybe or not a fit. Your team calls the best ones first.
Faster follow-up
The summary arrives within seconds, with the need, budget, timeline and contact details. No more emailing back and forth for the basics.
Measurable results
Qualified inquiries, booked calls and conversion rates per page and source, in your analytics and your CRM.
Nobody turned away coldly
Visitors who are not a fit get a friendly answer and a useful link, and your team can still read their message.
Consent first
Contact details and the summary are only sent after the visitor agrees. Until then, nothing is stored.
Only what is needed
The intake never asks for sensitive data such as payment details or ID numbers, and only collects what your team needs to follow up.
People decide
The AI labels leads, it never rejects anyone. Your team decides who to call, and every lead can be read in full.
Clear agreements
We sign a short data processing agreement, and I give you a ready-to-use paragraph for your privacy policy.
Intro call
We look at your current inquiries, what makes a lead good for you and where leads should end up.
Questions and criteria
Together we define the questions, the answer options and the rules for qualified, maybe and not a fit.
Build and connect
I build the intake in your brand and connect it to your CRM, on a test page first.
Test with real scenarios
We run through good leads, doubtful ones and clear mismatches, and fine-tune the questions and the labels.
Live and monthly review
The intake goes live, and every month we look at the leads, the conversion and whether the criteria still fit.
The intake on my contact page is an example of how it works: it asks the questions I need, labels each lead and sends me the summary by email and to my lead list. It also works well together with an AI chatbot for your website: the chatbot answers questions, and when a visitor is ready, the intake takes over.
AI intake with your questions and your qualification criteria
Structured summary per lead: need, budget, timeline and fit
Connection to your CRM, or email and Google Sheets
Booking link for qualified leads
Consent before contact details are sent
Monthly review of leads and criteria
AI lead generation usually means finding new contacts: building lead lists and sending outreach to people who never visited your site. AI lead qualification works on the inquiries you already get: visitors on your website describe what they need, and the AI turns that into a complete lead for your team. It brings no cold contacts, but it makes sure the people who do reach out get the right proposal quickly.
It can, but most sites keep a short form as an alternative for visitors who prefer it. On my own contact page, both are available.
HubSpot, Pipedrive, Salesforce, Teamleader, Zoho and other CRMs with an API, or any tool through Zapier or Make. Email and Google Sheets work too, without a CRM.
It never rejects anyone. Every lead that agrees to be sent reaches your team with a label and the reason, and your team decides. We review the criteria every month based on real leads.
Contact details and the summary are only sent after the visitor agrees. The conversation is processed by an AI model under its commercial terms, and the lead ends up only in your own email, CRM or sheet. We sign a data processing agreement.
Usually 2 to 3 weeks after the intro call, once your questions and criteria are agreed. With a connection to your CRM, plan for 3 to 4 weeks, and the same if you combine it with an AI chatbot.
A setup fee and a monthly fee, depending on your questions, the CRM connection and the number of conversations. You get a fixed proposal after a short intro call.
Let's look at your current inquiries, what makes a good lead for you and where leads should end up. You get a fixed proposal after a short intro call.
Book a free intro call Try the live demoGet in touch to discuss your project requirements and how this service can help you achieve your goals.
Or email me directly: etienne@etiennegozems.com