A homeowner notices a stair-step crack in the brick veneer on Saturday night, googles foundation repair, and lands on three contractor sites. The one that answers at 9pm with a real triage answer (not just a contact form) gets the $14,000 helical pier job. The other two get an autoresponder and lose the lead to the first caller back on Monday. Most foundation contractors have all the pricing and process logic in their WordPress site already, but no way to surface it after hours.

SleekAI maps your service posts, pier unit prices, carbon-fiber strap pricing, and warranty terms into chatbot variables. The bot asks the right diagnostic questions (where is the crack, is it horizontal or stair-step, are doors sticking, is the basement wet) and surfaces the relevant service_type and price_per_pier postmeta. Display conditions let you scope a different bot for commercial slab jobs versus residential basement work.

Generic bots cannot do this because they do not know the difference between a 1/8 inch hairline crack and a 3/4 inch bowing-wall failure. They cannot quote 6 helical piers at $1,650 each versus 4 push piers at $1,400 each. They cannot ask whether the homeowner has plumbing supply lines running through the affected footing. SleekAI logs every conversation with the model name and origin URL so you can see which crack photos prospects actually describe.

Foundation repair sits at the intersection of urgency and big dollar amounts. A homeowner who sees a fresh stair-step crack on a Friday night is genuinely worried and ready to call someone immediately. If your site greets that visitor with a contact form and a Monday callback promise, two of your competitors will close the deal before your phone rings.

The lead value on a single helical pier job often clears $14,000, so even one missed weekend lead pays for years of chatbot infrastructure. The harder problem is triage quality. Most chatbot tools cannot tell whether a crack is cosmetic or structural, and they cannot quote without that distinction.

SleekAI fixes this by reading your actual service pricing and using the diagnostic rules you encode into the instruction. The bot asks about crack pattern, wall length, deflection, and door sticking, then maps those answers to a real repair method with real numbers from your postmeta. The inspection booking happens inside the same chat, which is the conversion event you actually care about.

Homeowners do not buy a $14,000 repair from a website. They buy it from the engineer who shows up on Tuesday with a plumb laser and a written quote that matches the chat number within a few hundred dollars. The bot earns that Tuesday visit while you sleep.