Qualify Leads with Conversational AI Chatbot Ai Agent Workflow Inspiration

Deploys an intelligent chatbot on high-intent pages to engage visitors, ask qualification questions, and route qualified leads to sales while providing resources to others.

How this Ai Agent Workflow Helps

This workflow is designed for marketing and sales teams seeking to efficiently qualify website visitors at scale without requiring human intervention for initial screening. By deploying a conversational AI chatbot on high-intent pages like pricing or demo pages, teams can engage interested prospects the moment they signal buying intent.

The chatbot initiates a natural conversation with visitors and intelligently guides them through a series of qualification questions about company size, budget, timeline, and specific needs. Using LLM technology, the chatbot can maintain a conversational flow that feels natural while gathering critical qualification data. Based on the responses, the AI analyzes whether the lead meets your qualification criteria and routes them accordingly.

For qualified leads, the chatbot seamlessly offers to schedule a call with sales, reducing friction in the booking process. For visitors who don't meet qualification criteria, it provides relevant self-service resources instead, ensuring every interaction adds value. All interactions are logged in your CRM, providing valuable data for future marketing efforts. This approach typically increases qualified sales conversations by 25-40% while reducing the time sales teams spend on unqualified leads.

Who this Ai Agent Workflow Is For

Go-To-Market Pros

You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.

Ai Builders

You want inspiration for real-world ways to help people as you're building your Ai product.

Pros Focused on the Consideration Stage

You're focused on the Consideration stage in your daily job and want to find ways for Ai to help you do more with less.

Ai Agent WorkflowExample as Inspiration

Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?

Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.

And test it! Learn what works and what doesn't.

Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.

1. Trigger High-Intent Page Visit
Trigger. Initiate the qualification workflow when a visitor lands on a high-intent page like pricing or demo request.
Trigger Event
2. Deploy Conversational Chatbot
Tool Call. When a visitor lands on the pricing or demo page, trigger an AI chatbot to engage them with a personalized greeting.
Interactive Tool
Chatbot Platform Intercom Drift Zendesk Chat
3. Generate Qualification Questions
LLM Call. Use an LLM to create and adapt questions based on the prospect's previous answers, maintaining a natural conversation flow.
Chat
LLM OpenAI Anthropic Google Gemini

Prompt

You are a friendly, helpful qualification chatbot for {companyName}, a {productDescription}. Based on the conversation so far with the website visitor and their previous responses, generate the next qualification question to ask. Maintain a natural, conversational tone. Adapt your questions based on their previous answers.

Conversation history: {conversationHistory}

Previous qualification questions asked: {previousQuestions}

Qualification criteria we need to assess:
- Company size/number of employees
- Current solution they're using
- Budget range
- Decision timeline
- Key pain points
- Decision-making authority

Generate the next question that feels natural and conversational, not like an interrogation. If you've gathered enough information in a particular area, move to a different qualification criterion.

4. Evaluate Lead Qualification
LLM Call. Analyze the responses using an LLM to determine if the lead meets your qualification criteria and provide a qualification score.
Data
LLM OpenAI Anthropic Google Gemini

Prompt

Based on the following conversation with a potential lead, evaluate whether they meet our qualification criteria. Our ideal customer profile is: {idealCustomerProfile}.

Conversation transcript: {conversationTranscript}

Please analyze the lead based on the following criteria and assign a qualification score (1-100) for each:
1. Company size/fit (target: {targetCompanySize})
2. Budget alignment (target: {targetBudget})
3. Timeline (target: within {targetTimeline})
4. Pain points alignment (key pain points we solve: {keyPainPoints})
5. Decision-making authority (needs to be manager level or above)

For each criterion, extract relevant information from the conversation, assign a score, and provide brief reasoning. Then calculate an overall qualification score (weighted average) and recommend whether this lead should be passed to sales or provided self-service resources.

5. Offer Call Scheduling
Tool Call. If the lead qualifies, have the bot offer to schedule a 15-minute call via a calendar API.
Event
Calendar API Calendly Google Calendar API Acuity Scheduling
6. Generate Custom Resource Recommendations
LLM Call. For non-qualified leads, use an LLM to recommend specific resources tailored to their needs and stage.
Document
LLM OpenAI Anthropic Google Gemini

Prompt

Based on the conversation with a visitor who doesn't meet our full qualification criteria, suggest 2-3 specific resources from our content library that would be most helpful for them. Their main interests/pain points appear to be {identifiedInterests}.

Available resources:
{resourceLibrary}

Provide a brief, friendly message explaining why these specific resources would be valuable to them, and include the appropriate links. The tone should be helpful, not pushy, and should leave the door open for them to engage with sales in the future when they're ready.

7. Log Interaction in CRM
Tool Call. Record the full conversation, qualification assessment, and next steps in the CRM for follow-up and analytics.
Data
CRM Salesforce HubSpot Zoho CRM

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