ENGAGE does not stop at capturing leads. When you are ready to take the next step, our add-on Agents extend the platform deeper into your sales funnel, handling work that used to require dedicated staff.
ENGAGE Agent
Turns your chatbot into a consultative selling tool. When a prospect describes their application, the AI runs a structured needs analysis, asks the right qualifying questions, and delivers a detailed recommendation report to your sales team before anyone picks up the phone. Your reps walk into conversations already knowing the prospect's requirements, constraints, and budget signals.
Learn more about Needs Analysis →ENGAGE Agent
Replaces the manual quote desk for fast-turn, low-volume opportunities. A visitor selects products from your catalog, the system generates a branded PDF quote with real-time shipping rates and accessory recommendations, and sends it from your sales rep's authenticated email address. No new hire needed. No commissions. No delay.
Learn more about Instant Quote Tool →ENGAGE is not just a chatbot. It is a platform you grow on.










From lab equipment manufacturers to engineered sealing solutions, B2B companies across industries rely on ENGAGE as their AI chatbot for lead generation.
You added a chatbot to your website because everyone said you should. It is not working. Here is why.
Traditional chatbots are decision trees dressed up as conversations. They follow branching logic: if the visitor says X, respond with Y. The problem? B2B buyers do not follow scripts. They have specific, technical questions about your products: compatibility requirements, integration capabilities, performance specifications, and compliance certifications.
When your chatbot hits a question outside its script, it does one of two things: loops back to the menu ("I'm sorry, I didn't understand that. Would you like to...") or surrenders immediately ("Let me connect you with a human representative"). Either way, the prospect learns your chatbot cannot help them. They leave. They do not come back.
The script trap is particularly devastating for B2B companies with complex products. Your buyers are not asking "what are your business hours?" They are asking, "Does your solution support multi-tenant deployments with SOC 2 compliance?" Scripts cannot handle that.
Problem #1

Most chatbot platforms give you a generic AI and tell you to "train it yourself." Upload some FAQs. Add some product descriptions. Connect your knowledge base. What they do not tell you: this is a full-time job that nobody on your team has time for.
So your chatbot launches half-trained. It knows your company name and maybe your top three products. It does not know the technical specifications that matter to engineers. It does not understand the compliance requirements that matter to procurement. It cannot explain why your solution beats the competitor that your prospect is also evaluating.
The knowledge gap means your chatbot confidently gives wrong answers, vague non-answers, or admits it does not know when your website clearly contains the information. The prospect wonders: if your chatbot does not know your products, does anyone at your company?
Problem #2

Here is what happens when a generic chatbot "captures a lead": it collects a name, email address, and maybe a company name, and passes it to your sales team with zero context. Your rep has no idea what the prospect actually wanted, what questions they asked, what products they are interested in, or how qualified they are.
So your sales team treats every chatbot lead the same, with a generic follow-up email that probably lands in spam. Hot prospects who were ready to buy get the same treatment as tire-kickers who were just browsing. The hot prospects, insulted by the generic response, go silent. Your team marks them as "unresponsive" and moves on.
Meanwhile, your reps waste hours chasing unqualified leads because the chatbot could not tell the difference between an enterprise buyer with a budget and a student doing research for a class project.
Problem #3

Your prospects are not just talking to you. They are evaluating alternatives. They are comparing your solution to competitors. And when they engage with your chatbot, they often reveal exactly who else they are considering, if anyone is paying attention.
Generic chatbots do not capture competitive intelligence. They do not flag when a prospect mentions a competitor by name. They do not trigger displacement-specific content. They do not alert your sales team that this prospect is actively comparing options and needs a fast, targeted response.
Every competitive mention that goes unnoticed is a deal you are fighting blind.
Problem #4

We do not give you chatbot software and wish you luck. We build, train, and continuously optimize a lead-generation chatbot that represents your company and your best sales rep, available 24/7 in every language on every page of your site.
What Makes This Different:

We manually build your AI's knowledge base from your approved content: product specifications, technical documentation, case studies, whitepapers, compliance certifications, and competitive differentiators. Not a quick FAQ upload. A comprehensive training process that typically covers 200+ pages of source material.
The result: your chatbot answers the same technical questions your sales engineers answer. Specification-level detail. Integration requirements. Compliance standards. Use case-specific recommendations. When a prospect asks, "Does this support Modbus TCP and can it operate in -40 degrees C environments?", they get an accurate answer, not a redirect.

Your website changes. Products get added, removed, and updated. ENGAGE keeps pace automatically. Product data is refreshed daily based on changes to your website, so your chatbot always reflects your current catalog. No manual uploads. No stale inventory. No embarrassing moments where the AI recommends a product you discontinued last month.
Visitors can upload PDF files directly into the chat, and the AI analyzes them in real time. This opens up powerful B2B workflows that no scripted chatbot can handle:
This is not a gimmick. It is the kind of interaction that B2B buyers actually need, and that no other chatbot for lead generation in the market can deliver.

Our chatbots do not follow decision trees. They have actual conversations. A prospect can ask follow-up questions, change topics, go deep on technical details, then circle back to pricing, just like they would with a human rep.
More importantly, the AI guides these conversations toward qualification. It asks the questions your sales team would ask: What is your use case? What is your timeline? Who else is involved in the decision? What are you using today? The conversation feels helpful to the prospect while gathering the intelligence your team needs to close.
Every conversation generates a qualified lead profile, not just contact information. Your sales team receives:
Your rep walks into the first call already knowing what the prospect needs, what objections they will likely raise, and why they are better than the competitor they are also evaluating.
When a prospect mentions a competitor, or when we detect competitive signals from their questions, the system responds intelligently:
You stop fighting blind against competitors you did not know were in the deal.
ENGAGE is built for B2B environments where accuracy matters, and mistakes carry consequences. Our guardrail system ensures:
When Omniseal Solutions, a division of Saint-Gobain, needed an AI chatbot that could pass its parent company's rigorous enterprise security and IP governance framework, ENGAGE was the only provider to clear every hurdle. No other AI chatbot provider has passed that process.

AI cannot be accountable. Humans can. Our team continuously monitors your chatbot's conversations, catches errors before they become patterns, and refines the AI's responses based on real performance data.
Every month, we analyze your chat transcripts, identify optimization opportunities, and update your chatbot's training. It gets smarter over time, not because we set it and forget it, but because professionals are actively improving it.
How Manufacturers Win at Distribution with ENGAGE
One of the most powerful outcomes we have seen with manufacturers who sell through distribution channels: their sales at distribution partners increase significantly.
Here is why. A distributor's sales rep carries products from many manufacturers, including your competitors. When one of their customers asks a technical question about your product, that rep has a choice: spend time researching the answer themselves, or recommend whichever brand they can get an answer from fastest.
ENGAGE becomes the path of least resistance. The distributor's rep pastes the customer's question into your AI chatbot for lead generation and gets an instant, accurate response. They look good to their customer. Your product gets recommended. The competing manufacturer, the one without an AI-powered resource for the distributor's team, gets passed over.
This is not theoretical. Yamato Scientific America saw a +23% increase in distributor-sourced leads after deploying ENGAGE. Their distribution partners sell many competing product lines, yet they began recommending Yamato more regularly because ENGAGE made it the easiest brand to support.

increase in distributor-sourced leads at Yamato Scientific America after deploying ENGAGE
"We see chats from both customers and distribution partners, and we've seen a lift in sales via distributors across most product lines. Because our distributors sell many products, and even products that compete with our own, making it easier for them to support their customers by using our AI chatbot has resulted in them recommending us as the most appropriate solution for their customers more regularly."
Director of Marketing, Yamato Scientific America
If you sell through distributors, ENGAGE does not just generate leads on your website. It turns your entire distribution network into a more effective sales channel for your brand while boxing out the competition.
A detailed look at what happens when a prospect engages with your lead generation chatbot.
Step 1
A visitor lands on your product page. Instead of a generic "How can I help you?" pop-up, your chatbot opens with context-aware messaging based on the page they are viewing: "I see you are looking at our industrial sensors. Are you evaluating these for a specific application?"
The conversation starts relevant. The prospect feels understood, not interrupted.
Step 2
As the conversation unfolds, your chatbot naturally gathers qualification data. It does not feel like a form. It feels like a helpful discussion with someone who knows the product line.
The AI adapts its questions based on the prospect's role and responses:
Engineers get technical deep-dives
Procurement gets pricing and compliance information
Executives get business outcomes and ROI data
Throughout, the chatbot answers questions with specification-level accuracy, recommends relevant products, and surfaces case studies from similar applications.
Step 3
Behind the conversation, the system is building a complete prospect profile:
Firmographic data enriched from our 200M+ company database
Industry vertical and company size
Specific use case and application requirements
Current solution (if any) and pain points
Timeline and urgency indicators
Budget signals and decision-making authority
Competitive mentions and evaluation status
This is not data entry. It is intelligence gathering through natural conversation.
Step 4
When the prospect is ready to talk to a human, or when the AI determines they are sales-ready, the handoff happens seamlessly:
Your sales rep receives an instant notification
Complete conversation transcript attached
AI-generated summary highlighting key qualification data
Recommended approach based on the prospect's stated needs
Direct contact information with permission to follow up
Step 5
After launch, we do not disappear. Our team:
Reviews conversation transcripts weekly
Identifies questions the AI struggled with
Expands training content to fill knowledge gaps
Refines qualification logic based on sales feedback
Provides monthly performance reports and optimization recommendations
Your chatbot improves continuously because humans are actively making it better.
Most chatbot companies sell you a platform and leave you to figure out the rest. You are responsible for training, testing, monitoring, and optimizing. When it does not work, that is your problem.
We operate differently. Salesperson ENGAGE is an Outcomes-as-a-Service model. We do not sell you chatbot software. We sell you the outcome: more qualified leads, better sales intelligence, faster response times, and higher conversion rates. We own the work required to deliver those outcomes, from initial training through ongoing optimization.
What this means in practice:
"I appreciate that you understand more than just the deployment of the chatbot. The most important things to me are the business outcomes. That's what made Salesperson ENGAGE the winning provider for us."
Marketing and Communications Manager, Omniseal Solutions
If the leads do not flow, that is our problem to solve, not yours.
There is no shortage of chatbot software. The problem is not access to AI. It is everything that comes after.
You sign up for an enterprise chatbot platform. They give you access to a dashboard, some documentation, and maybe a few hours of onboarding. Then you are on your own.
Now someone on your team, who already has a full-time job, needs to:
• Upload and organize all your product content
• Write conversation flows for every scenario
• Test the AI's responses across hundreds of questions
• Fix the wrong answers (there will be many)
• Monitor ongoing conversations for quality
• Update the knowledge base as products change
• Analyze performance data and optimize
• Handle escalations when the AI fails
This is a full-time job. Multiple full-time jobs, actually. And it requires expertise in AI training, conversation design, and your own products that rarely exist in a single person.
So the chatbot launches half-finished. Nobody has time to improve it. It generates complaints instead of leads. Eventually, someone turns it off.
We do the work. All of it.
DIY Chatbot Platforms
You are not buying chatbot software. You are hiring a team to build and manage a new sales channel.
Do not take our word for it. Here is what happens when B2B companies replace generic chatbots with a trained, managed AI chatbot for lead generation.

Refurbished Clinical Chemistry Analyzers | Bellport, NY
The challenge: First-time buyers making five-figure capital equipment purchases assumed Block's sales team would steer them toward higher-margin inventory. The perception of bias, even though unfounded, was costing conversions. Block needed a front-line solution that could stay current with constantly changing inventory and build trust with hesitant buyers.
The results:
+40%
Increase in sales qualified leads
+15%
Increase in raw leads within 3 months
+1.6%
Increase in website conversion rate
Results sustained over a 2-year period
"The investment in Salesperson ENGAGE is an investment in customer trust. It's more of an outcome than a tool when I think about the ultimate goal, which is helping more customers feel confident that they are getting accurate information on the instrument in which they are investing capital budget dollars."
Sales Manager, Block Scientific

Lab Equipment Manufacturer | Santa Clara, CA | 9-Year Client
The challenge: Technical buyers needed answers fast, often when the team was unavailable. Distribution partners selling competing lines needed quick answers to support their own customers' purchasing decisions. Without a way to respond at scale, Yamato was losing leads and overloading their internal team.
The results:
+15%
Increase in direct leads
+23%
Increase in distributor-sourced leads
22x
Return on investment
Results sustained since Spring 2023 deployment. Yamato was the first lab equipment manufacturer in the United States to launch an AI sales assistant on their website.
"We've trusted Salesperson.com to be our lead-generating partner for 9 years. Over the last 3 years, the AI chatbot has become a central part of our customer experience, and we expect it to be the same way long into the future. The ROI is very clear from a raw dollars perspective, but I very much believe in the intangibles as well."
President, Yamato Scientific America

Engineered Sealing Solutions | Garden Grove, CA
The challenge: Prospects needed fast responses for bespoke engineered sealing products in aerospace, semiconductor, and medical applications. Response times stretching into days meant opportunities went to competitors. And deploying any AI vendor inside a Saint-Gobain division required passing a multi-layered enterprise security review that most providers cannot satisfy.
The results:
+20%
Increase in sales qualified leads
+2.9%
Increase in website conversion rate
4 mo.
ROI payback period
ENGAGE is the only external AI provider approved to operate within Saint-Gobain's enterprise security and compliance framework.
"The team worked very closely with us through the rigorous legal, security process we put technical vendors through. No other AI provider has passed this process, and it's a testament to the professionalism and competency of everyone at salesperson.com involved in the ENGAGE program."
Marketing and Communications Manager, Omniseal Solutions
Your enterprise AI chatbot handles sensitive conversations with prospects. Security is not optional.
End-to-end encryption: All data in transit and at rest encrypted (TLS 1.2+, AES-256)
Data ownership: Your conversation data is yours. Never shared with third parties. Never used to train other clients' chatbots
Regional compliance: GDPR, CCPA, and regional data sovereignty requirements supported
Audit trails: Complete conversation logs with timestamps for compliance verification
Role-based access: Control who on your team can view transcripts, modify training, or access analytics
SSO integration: Connect with your existing identity provider
Custom data retention: Configure how long conversation data is stored based on your policies
API access: Pull conversation data into your existing analytics and BI tools
Human oversight: Trained professionals review conversations and correct AI errors
Accuracy guardrails: The AI only answers from approved source content. No hallucinated specifications or made-up claims
Escalation protocols: Complex or sensitive conversations route to human support
Continuous monitoring: We catch problems before they become patterns
Omniseal Solutions, a division of Saint-Gobain (CAC 40 listed), put ENGAGE through a multi-layered security review covering data handling, IP protection, liability, and technical architecture. ENGAGE is the only external AI provider to have passed.
Your lead generation chatbot connects to your existing tech stack. No rip-and-replace.
Every qualified lead flows directly into your CRM with complete context:

Native integration with lead, contact, and opportunity objects

Full sync, including custom properties and workflow triggers

Enterprise-ready integration

Direct integration with lead scoring sync

Automatic deal and contact creation
Contact information and company data
Complete conversation transcript
AI-generated qualification summary
Lead score with transparent reasoning
Products discussed and questions asked
Competitive mentions and displacement triggers
Recommended follow-up actions
Install through Google Tag Manager in minutes. No IT project required. Works with every major platform:

Works with all themes and page builders (Elementor, Divi, WPBakery, Beaver Builder)

Supports Drupal 8, 9, and 10

Supports all modern Sitecore versions
Full enterprise CMS support


Installs via theme editor or Shopify app

Native integration available

Full compatibility with Magento 2.x

Installs alongside native HubSpot forms

Full support including custom domains

Works with code injection
Full ERP and CMS integration


If it runs JavaScript, it runs our chatbot
Beyond website chat, your AI can engage prospects across:

Integrated with reply-trigger sequences

Via local number bridge
Automated WhatsApp conversations that feel personal and convert faster.
Engage and qualify leads instantly with automated Messenger chats.

Start real B2B conversations with targeted, personalized LinkedIn outreach.
Same AI. Same training. Same qualification logic. Every channel.
ENGAGE sits at the middle of the funnel, converting anonymous website traffic into qualified opportunities. It works alongside your lead capture forms and internal search engine to ensure no visitor leaves without a path to conversion. Leads generated by ENGAGE flow into your B2B sales engagement sequences and B2B email marketing campaigns for maximum pipeline velocity. And when you are ready to scale outbound, our B2B sales prospecting service fills the top of the funnel so ENGAGE always has traffic to convert.
Real scenarios where AI chatbots capture opportunities that static websites miss.
The scenario: An engineer visits your website to research sensor solutions for a new project. They have specific questions about operating temperature ranges, communication protocols, and certification requirements. Your sales team is unavailable.
They submit a contact form. Your rep responds 18 hours later. By then, they had found a competitor who published specs clearly and answered their questions via chat.
The AI engages immediately, answers their technical questions with datasheet-level accuracy, recommends the specific product configuration for their application, and captures their project requirements. Your rep gets a qualified lead with complete context the next morning.
The scenario: A procurement manager needs to identify the right solution across your 500-product catalog. They are not sure which product line applies to their use case, let alone which specific SKU.
They click around your website for 10 minutes, get overwhelmed, and leave. Maybe they download a PDF catalog that sits unopened in their downloads folder.
The AI asks about their application, narrows down the relevant product family, recommends specific models based on their requirements, and offers to send a comparison of the top 3 options.
The scenario: A VP of Operations is researching solutions for a problem they are not even sure how to define. They know something is broken in their process, but they do not know what to search for.
They read your homepage, skim a few case studies, and add you to a mental list of "companies to maybe call later." They forget within a week.
The AI asks about their challenges, helps them articulate the problem, explains how similar companies have solved it, and shares a relevant case study.
The scenario: A distributor's sales rep has a customer asking about your product, but the rep carries five competing lines and does not have time to research the answer themselves.
The rep recommends whichever brand they know best or can get an answer from the fastest. Your product loses, not on merit, but on convenience.
The distributor's rep pastes the customer's question into your chatbot, gets an instant, accurate answer, and forwards it to their customer. Your brand gets recommended.
Metrics from companies that replaced generic chatbots with trained, managed AI.
Chatbot engagement rate
Conversation completion
Leads captured per month
Lead quality (sales-accepted)
Time to first sales contact
Sales cycle length
Rep time on unqualified leads
"Our old chatbot was an embarrassment. Prospects would complain to our sales team about it. Now they compliment us on how helpful the AI is, and our reps actually want the leads it generates because they come with real context."
ENGAGE: B2B Lead Generation Chatbot
Everything included. No setup fees. No per-conversation charges. No hidden costs.
What is included:
Optional Add-Ons:
ENGAGE Agent
Consultative selling agent that delivers structured recommendation reports.
Learn more about Needs Analysis →ENGAGE Agent
Automated branded PDF quotes with real-time shipping and accessory upsells.
Learn more about Instant Quote Tool →We do not hand you a login and disappear. Here is exactly what happens.
Week 1-2
• Audit your current website and existing chat (if any)
• Interview your sales team about common questions and qualification criteria
• Collect and organize your product content: specs, documentation, case studies, FAQs
• Map your competitive landscape and displacement opportunities
• Define conversation objectives and lead scoring criteria
Week 2-3
• Structure your content into the AI knowledge base
• Design qualification-focused conversation flows
• Build product recommendation logic
• Configure competitor detection and response triggers
• Set up CRM integration and lead routing rules
Week 3-4
• Run 1,000+ test conversations across all scenarios
• Identify and fix knowledge gaps
• Tune AI responses for accuracy and tone
• Test CRM integration and lead handoff
• Create private preview for your team to challenge the AI
Week 4
• Deploy to your live website
• Monitor real conversations in real-time
• Make rapid adjustments based on actual prospect interactions
• Establish baseline metrics
• Train your sales team on the new lead flow
Ongoing
• Weekly conversation review and AI refinement
• Monthly performance analysis and optimization
• Quarterly strategy sessions to align with business changes
• Ongoing knowledge base updates as products evolve
• Daily product data refresh to keep catalog information current
Right now, someone is on your website with a real question about your product. They are evaluating you against a competitor. They are ready to engage, if someone can just answer their question.
Your generic chatbot cannot. Your sales team is in meetings, or working other deals, or unavailable. The prospect leaves. They find a competitor who could answer. You never knew they were there.
Every day without a real lead generation chatbot is another day of missed conversations, lost intelligence, and deals that went to competitors who showed up when you did not.