You can use a chatbot to capture leads automatically by showing it on high-intent pages, asking a short sequence of qualification questions, storing contact details, and syncing those leads into your CRM or email tool. With CustomGPT.ai, you can enable the Lead Capture action, deploy live chat, and push new leads via Zapier (CustomGPT).
Scope:
Last updated – November 2025. Applies globally; ensure chatbot lead capture, consent notices, and CRM syncing comply with local privacy laws such as GDPR in the EU and CCPA/CPRA in California.
Plan your lead capture strategy
Before you touch any settings, decide what a “good lead” actually means for your business. Typically, you’ll want to capture contact details plus a few intent signals like use case, budget range, or timeline so sales can prioritize follow-up.
List the must-have fields (for example: name, email, company, role, company size, primary goal) and nice-to-have fields (budget, timeline, product of interest). Keep it lean: every extra question can increase drop-off, so focus on information that changes how you follow up.
Next, choose where your lead-gen chatbot should appear. High-intent pages like pricing, demo, product comparison, or integration pages usually convert better than generic blog posts. Many teams also add it to contact or signup pages as a “help + fast track” option.
Design and trigger your lead-gen chatbot
Think of your chatbot as a friendly concierge, not a pushy form. Start with a short opener (“Can I help you compare plans or set up a quick demo?”) and flow into 3–5 simple questions that feel like conversation: problem, role, company size, timing, and then contact details.
Use behavior-based triggers instead of popping up immediately on every page load. Common patterns include: after 20–30 seconds on a pricing page, after scrolling halfway down a feature page, or when a user visits key pages multiple times. This focuses the chatbot on visitors who show buying intent.
Be explicit about why you’re asking for information (“Share your email so we can send a tailored plan recap”). Offer an option to continue without sharing details, and give a clear way to dismiss the chat, so the experience feels respectful rather than spammy.
Connect chatbot leads to your CRM and email tools
Your chatbot only becomes a real lead engine when it pushes data into the systems your team already uses. Start by mapping chatbot fields to your CRM’s contact or lead properties (for example, email → email, company → account name, use case → custom “Use case” field).
Next, create automations so new leads don’t sit idle. For marketing-led funnels, send new contacts into nurture sequences, onboarding campaigns, or retargeting audiences. For sales-led funnels, trigger tasks, deal creation, or assignment rules when a chatbot lead meets your qualification criteria.
If you’re using an automation tool like Zapier, design a “unified lead capture” workflow that standardizes fields from the chatbot before storing them in your CRM. This keeps lead records consistent and easier to report on.
Optimize and scale your lead capture
Once your chatbot is live, treat it like a campaign, not a one-time setup. Track metrics such as: chats started, leads captured, conversion rate from chat to lead, lead quality, and downstream metrics (meetings booked, pipeline, revenue).
Review transcripts regularly to spot where visitors drop off or express confusion. You might find that a single awkward question causes abandonment, or that adding a clarifying message (“I’ll only ask 3 quick questions”) boosts completion. Use these insights to iterate on copy, order of questions, and incentives.
As performance improves, roll out the chatbot to more pages and audiences. Keep an eye on data privacy and consent requirements (for example, GDPR) and make sure your disclosures and opt-ins match your region’s rules.
How to do it with CustomGPT.ai
This section shows exactly how to use CustomGPT.ai to make your chatbot capture leads automatically.
Enable the Lead Capture action on your CustomGPT.ai agent
In CustomGPT.ai, Lead Capture is an “agentic action” that lets your agent ask for and record lead details like name, email, company, and additional context (such as job title or region) during normal conversations.
From your agent’s menu, open Actions, find Lead Capture, and toggle it on. Once enabled, the agent automatically scans conversations for contact information, saving new leads as they appear. You can also configure which default and custom fields it should collect, focusing only on data that matters for your qualification.
Deploy your CustomGPT live chat or website copilot
Next, put your lead-capturing agent in front of visitors. Use the Live Chat deployment to embed a chat bubble on any page, adjusting its appearance and position to match your site.
If you prefer a less intrusive experience, use Website Copilot, which opens in a larger window when users click a button you place on key elements (such as a “Need help choosing a plan?” button). It gives you fine-grained control over where the assistant appears.
For high-intent pages, you can configure the chat bubble to auto-pop up only there (for example, pricing or checkout), drawing visitors into conversation at the right moment without overwhelming your entire site.
Send captured leads to CRM and other tools via Zapier
To get leads out of CustomGPT.ai and into your CRM or email platform, connect via Zapier. Use the New Lead trigger in the CustomGPT Zapier app, which fires whenever your agent captures a new lead in conversation.
From there, you can map lead fields to HubSpot, Salesforce, or other tools. For example, the guide for sending collected leads to HubSpot shows exactly how to configure the trigger and map fields like email, name, and company into your CRM contacts.
You can also include UTM parameters with each lead by enabling UTM capture in Lead Capture settings. These tags (like utm_source and gclid) then travel with the lead through CSV exports, Zapier, or API calls, helping you tie leads back to campaigns.
Export and analyze leads from CustomGPT dashboards
If you want to analyze or import leads manually, you can export them directly from the Lead Capture section as a CSV file. This export includes all configured lead fields and any collected tags, making it easy to upload into your CRM or BI tools.
CustomGPT.ai also lets you track how well Lead Capture is performing. In the Track collected leads and usage view, you’ll see metrics such as how often the action is used and how many leads have been collected. This helps you understand whether your agent is actually converting conversations into qualified opportunities.
For more advanced setups, you can combine Lead Capture with Drive Conversions or use the “without Drive Conversions” configuration to collect contact details early while keeping conversations casual and non-intrusive.
Example — Website chatbot that books sales calls
Imagine you run a B2B SaaS product. On your pricing page, a CustomGPT.ai Live Chat widget appears after visitors spend 30 seconds evaluating plans. It opens with: “Need help choosing a plan or booking a quick demo?”
If the visitor engages, the agent asks a few short questions: their role, company size, primary goal, and rough timeline, then politely asks for name and email. Lead Capture stores these details automatically and fires a New Lead event into Zapier.
In Zapier, the workflow creates or updates the contact in your CRM, sets a “Chatbot–Pricing Page” lead source, and enrolls them in a short demo follow-up sequence. If they mention buying soon or having a large team, the workflow also notifies a sales rep in Slack with a direct link to the conversation transcript.
Conclusion
Static forms on high-intent pages often create friction that causes qualified prospects to bounce. CustomGPT.ai removes this barrier by turning casual inquiries into a structured sales pipeline. Instead of hoping visitors fill out a request, your agent actively qualifies their intent, captures their details, and instantly syncs that data to your CRM via Zapier—acting as an always-on SDR.
Stop letting warm traffic slip away unnoticed. Enable automatic lead capture with CustomGPT.ai to start filling your sales funnel with qualified opportunities right now.
FAQs
How can I use a chatbot to capture leads automatically?
You can capture leads automatically by placing your chatbot on high-intent pages like pricing, demo, and comparison pages and asking 3–5 simple qualification questions. The bot collects contact details plus key signals such as use case, company size, or timeline, then stores that data and syncs it into your CRM or email platform so sales and marketing can follow up quickly.
How does CustomGPT.ai lead-capture chatbot connect to my CRM?
With CustomGPT.ai, you enable the Lead Capture action so the agent records fields like name, email, company, and intent during conversations. Then you connect Zapier’s New Lead trigger to tools such as HubSpot or Salesforce, map chatbot fields to your CRM properties, optionally include UTM tags, and use workflows to create contacts, deals, and nurture sequences automatically.