FenceGPT

FenceGPT is an AI chat assistant built specifically for fence contractors and industry professionals. Unlike generic AI tools, it is trained on fence-industry knowledge—materials, installation techniques, cost calculations, permit and code considerations, and project guidance—so crews and office teams get answers that match real fencing work. Contractors use FenceGPT to ask project questions in plain language and get specialist responses on wood, vinyl, chain link, aluminum, and other fence types for residential and commercial jobs. The platform emphasizes industry expertise from people with decades in fencing, curated training data for the trade, human support from real fence professionals, market-informed cost guidance, location-aware regulatory context, step-by-step installation help, project memory on paid plans, and site-specific material recommendations. Core product capabilities include: • AI-powered chat trained exclusively on fence industry knowledge and best practices • Expert knowledge base covering materials, installation, costing, and regulatory topics • Professional prompting guides (Pro and Teams) to improve answer quality • Team collaboration with multi-seat accounts, usage analytics, and exportable data Membership tiers (as published on FenceGPT): • Free — knowledge base access, 5 daily prompts, 3-day chat retention • Pro — about $19.99/month with unlimited daily prompts, unlimited chat retention, and prompting guides • Teams — about $49.99/month with 3 seats included, additional seats around $10 each, and exportable usage data FenceGPT is led by founder and CEO Mike DeLorenzo, a third-generation fencing expert based in Babylon, New York (Long Island / Suffolk County). The leadership team also includes long-time industry consultant Tony Thornton (Fenceline to Success) alongside product, technology, and marketing leaders. FenceGPT partners with the American Fence Association (AFA) and positions itself as an educational AI resource for contractors who want trade-specific answers instead of generic chatbot output.