How a Solar Company Doubled Appointments Using ZopGPT's Zopbot
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The Problem: Website Visitors Leaving Without Answers
A mid-sized solar panel installation company was generating healthy traffic to their website. Hundreds of homeowners visited every week, curious about solar costs, panel options, government rebates, and installation timelines.
But most left without getting in touch. The reason was simple: solar is a considered purchase. Visitors had real, specific questions — "Does my roof type qualify?" "What's the payback period?" "Which panel tier suits a 3-bedroom home?" — and there was nobody available at 10 PM to answer them.
The Solution: A Zopbot That Actually Knows Solar
The company integrated Zopbot from ZopGPT onto their website — trained on their own documentation: product brochures, installation guides, government rebate eligibility criteria, and a comprehensive FAQ compiled from real customer questions.
The result was an AI that could answer like their best sales consultant, grounded entirely in their materials — no hallucinations, no off-brand responses.
Visitor: "Does my tile roof qualify for installation?"
Zopbot: "Yes — terracotta and concrete tile roofs are fully compatible with our standard mounting system. Would you like me to walk you through what to expect?"
Zopbot: "Based on what you've described, our 6.6kW system would be a great fit. Would you like to book a free 15-minute consultation to confirm?"
The Outcome: Appointments Up, Response Time Down
- Appointment bookings increased by 2× compared to the previous quarter
- Average response time dropped from 2 days to under 3 minutes
- Zopbot handled 78% of all inbound queries without human intervention
Why It Worked
Most chatbots give generic answers or deflect to a form. Zopbot is trained on your documents — so every answer is accurate, specific to your product, and on-brand. For solar companies, where decisions take weeks, that accuracy is what converts browsers into booked consultations.
Ready to Do the Same?
Train Zopbot on your documents, embed it in one line of code, and let it handle the conversations your team doesn't have time for.