Track leads & customers from AI in Zoho CRM
Learn how to track how many leads & customers AI tools like ChatGPT are generating in Zoho CRM
Use Attributer to capture AI referral data (like the fact a lead arrived from ChatGPT) with every form submission, pass it into Zoho CRM, and then run reports showing how many leads and customers AI is actually generating for your business.
Do you actually know how many of the leads and customers you have in Zoho CRM are arriving from AI tools like ChatGPT?
It's a fast-growing blind spot for most marketing teams. Your analytics might tell you that a visitor came from ChatGPT or Perplexity, but that's usually where the trail goes cold. Working out how many of those visitors became leads, how many turned into paying customers, and how much revenue they generated needs something more.
The good news is there's a way to close that gap.
In this article, we'll walk through how to use a tool called Attributer to capture AI referral data with every new lead in Zoho CRM. We'll also show you a set of reports you can run to see exactly what AI is delivering for your business.
4 steps to track leads & customers from AI in Zoho CRM
Using Attributer with Zoho CRM makes it easy to see how many leads are coming from AI tools. Here's how it works:
1. Install Attributer and add hidden fields
When you start a 14-day free trial of Attributer, you'll be given a small snippet of code to install on your website. Instructions for adding it can be found here.
With the code in place, the next thing to do is add a handful of hidden fields to the lead capture forms on your site. Those fields are:
- Channel
- Channel Drilldown 1
- Channel Drilldown 2
- Channel Drilldown 3
Most form builders make this simple. Depending on the tool, you can either drag a 'Hidden' field type into the form, or take an existing field and hide it through the settings. Instructions for doing it in tools like Zoho Forns, Gravity Forms, Wix Forms, Webflow Forms and others can be seen here.
2. Attributer writes AI data into the hidden fields
When somebody lands on your site, Attributer looks at a range of signals to work out where they came from (much the same signals a tool like Google Analytics uses).
It then sorts that visitor into a channel, such as AI Referral, Organic Search, Paid Search or Paid Social, and stores the result in their browser.
Then, when that visitor eventually fills in a form on your site, such as your 'Contact Us' or 'Request a Quote' form, Attributer writes the details of where they came from into the hidden fields (including the fact that they arrived from an AI tool and which one it was).
3. AI data is captured with each lead
Then, when the lead submits the form, your form tool captures the AI referral data Attributer wrote into those hidden fields, along with the lead's name, email, and everything else they entered.
Attributer works with more than 50 form builders, scheduling tools and chat products, including Zoho Forms, Gravity Forms, Calendly, Contact Form 7, Wix Forms, Webflow Forms, Typeform and Jotform, so there's a good chance it already covers your stack.
4. AI data is sent to Zoho CRM
From there, you can use your form builder's native integration with Zoho CRM (Zoho Forms connects natively, for instance), or a third-party tool like Zapier, to push the data through as a new Lead or Contact.
Once it lands on the record, you can start building reports showing how many leads and customers came from AI, which AI tools they came from, what content brought them in, and how much revenue was generated, etc.
You can build those using Zoho CRM's own built-in reports and dashboards, or connect an analytics tool like Zoho Analytics, Looker Studio or Microsoft Power BI and run them there. If you're already using AI yourself, you can also point a tool like Claude or ChatGPT at your Zoho CRM data and simply ask something like "how many leads did I get from AI this month?"
What data gets captured
Attributer passes through two types of information about each lead. There's how they got to your site (the channel) and what content brought them there (the landing page).
So if you were on the marketing team at an accounting firm and somebody asked ChatGPT to recommend a tax advisor, then clicked through to your site and became a lead, you would get the following.
- Channel = AI Referral
- Channel Drilldown 1 = ChatGPT (or whichever AI tool sent them)
- Channel Drilldown 2 = chatgpt.com (the domain they arrived from)
- Channel Drilldown 3 = None (there is no deeper level of detail to capture for an AI referral, so this comes through as None)
You would also get information on the page they landed on. Continuing that example, it might look like this.
- Landing Page = smithandco.com/blog/best-accountants-sydney
- Landing Page Group = /blog
That landing page data is what tells you which of your content AI tools are actually reading and citing, and therefore what is worth creating more of.
4 example reports you can run when you capture AI data in Zoho CRM
Over my 15-year career in marketing, I have built more reports than I can count trying to work out which channels were actually earning their keep. Here are 4 that become possible once you are capturing AI referral data in Zoho CRM.
1. Leads by Channel
This report shows how many leads you get each month, broken down by the channel they came from (AI Referral, Organic Search, Paid Search, Paid Social, and so on).
It gives you a clear read on how much AI is contributing to your lead count (in comparison to your other established channels). If AI referrals are still a thin slice, that tells you there is room to grow. If they start rivalling organic search, that's a strong signal it's worth investing in staying visible inside AI tools.
The comparison is the valuable part. Finding out that AI chat tools are delivering as many leads as a paid channel you spend heavily on can reshape how you think about where the budget goes.
2. Customers by AI tool
This report breaks your new customers down by the AI tool that sent them, so you can compare how ChatGPT stacks up against Claude and Gemini.
That distinction matters because the tools don't behave the same way. One might surface your content far more often than the others, or send visitors who convert at a noticeably better rate.
Knowing which tools actually produce paying customers, rather than just traffic, tells you where to concentrate your effort. If the bulk of your customers arrive via ChatGPT, that's where it pays to stay visible and well cited.
3. Close rate by channel
This report shows the rate at which leads turn into customers, broken down by the channel they came from.
It's often the most revealing report of the set, because lead volume on its own can be misleading. You might find that 35% of your leads from AI Referral go on to become customers, against 10% of those from Organic Search and 7% from Paid Search.
If that's the pattern in your data, a lead from an AI tool is worth several times one from paid search, which should change how you think about where the next dollar goes. It often plays out this way because people arriving from an AI tool have already had their questions answered and come in better qualified.
4. Revenue from AI by landing page
This report shows how many customers, and how much revenue, each piece of content on your site has generated from AI referrals.
It makes it easy to see which blog posts and pages the AI tools are citing and sending genuine buyers to, and can serve as a bit of a guide for what to write next. If a handful of posts are responsible for most of your AI-driven revenue, producing more of that kind of content is a sensible bet.
Wrap Up
If you've been trying to work out how many leads and customers AI tools are genuinely sending your way, using Attributer with Zoho CRM is a great way to do it.
Best of all, it's free to get started with Attributer and setup usually takes less than 10 minutes. So start your 14-day free trial today!
Get Started For Free
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About the Author
Aaron Beashel is the founder of Attributer and has over 15 years of experience in marketing & analytics. He is a recognized expert in the subject and has written articles for leading websites such as Hubspot, Zapier, Search Engine Journal, Buffer, Unbounce & more. Learn more about Aaron here.