Pressure Washing AI Quote Generator

The intake form asks six to eight questions tuned for pressure washing: type of service requested (driveway, sidewalk, patio, house siding, deck, fence, roof soft wash, full curb-appeal package), approximate square footage or linear footage, surface material (concrete, brick, stucco, vinyl, wood lap, composite decking, asphalt shingles for soft wash), current condition (light dirt, heavy mildew or algae, oil stains, rust, paint prep), house single or multi-story, zip code, and an optional photo upload of the surfaces. The form submits into n8n.

The workflow normalizes the inputs, runs them through an OpenAI prompt seeded with realistic pressure washing pricing across per-square-foot driveway rates, house wash per-square-foot rates by siding type, deck cleaning per-square-foot rates with prep multipliers for stain prep, soft-wash roof pricing by roof size, fence per-linear-foot or per-section pricing, and commercial property hourly or per-square-foot rates. The JSON estimate gets templated into a branded HTML email with the company's logo, a per-surface breakdown, and a one-click booking link.

A matching SMS fires through Twilio. Total time from form submit to estimate in hand, around twenty-five seconds.

The pressure washing spring rush is fourteen weeks of compressed demand where the homeowner is in a hurry to get the driveway and siding handled before guests arrive. They want a number this morning, they want to book a date, and they will move on to the next company on Google Maps if the first company makes them wait. Most pressure washing companies fail at the speed game because the owner is on a job site with the pressure washer running, the office phone goes to voicemail, and the inquiry from this morning gets a callback at 7pm.

By that point the homeowner has already booked a competitor for Saturday and committed the credit card. The company sees the inquiry, sees no booking, and assumes the homeowner did not need the service that badly. They did, and they paid someone else for it this weekend.

Speed wins the spring booking and the spring booking is what funds the truck and the equipment for the rest of the year.

A driveway-only clean runs one hundred to four hundred depending on size. A house wash on a 1,500 to 2,500 square foot home runs two fifty to seven hundred. A deck cleaning runs one fifty to four hundred.

A soft-wash roof clean runs four hundred to twelve hundred. A full curb-appeal package (driveway, sidewalk, house wash, deck) runs six hundred to fifteen hundred. A pressure washing company pulling fifty inbound inquiries a month during peak season and closing fifteen at thirty percent is roughly industry baseline.

Push close rate to forty-five or fifty percent on instant-quote leads, which is realistic because the homeowner is anchored to the company that came back first with a per-surface number, and the company adds eight to ten extra closed jobs a month at a blended ticket of four hundred fifty. That is thirty-six hundred to forty-five hundred a month in extra revenue, on lead flow they are already paying for. The retainer pays for itself in the first ten days of spring.

Complete n8n workflow with the Tally trigger, field normalization, OpenAI quote generation, email templating, and Twilio SMS dispatch. Tally form schema with pressure washing questions, including conditional branching that surfaces additional condition questions when the homeowner indicates heavy mildew, oil stains, or roof algae (which signal the need for a soft wash protocol). OpenAI system prompt seeded with realistic pressure washing pricing across driveway and sidewalk per-square-foot, house wash by siding type (vinyl, wood, stucco, brick, fiber cement), deck cleaning and stain-prep pricing, soft-wash roof pricing, fence per-linear-foot, and commercial property pricing.

Branded HTML email template with a per-surface breakdown so the homeowner can see exactly what each surface costs. Twilio SMS template that fires alongside the email. Setup guide for the OpenAI key, the Twilio number, the domain authentication, and the brand swap.

Also included: a three-touch follow-up sequence for unbooked quotes.

Plan two to three hours including the screen-share with the owner. You import the n8n workflow, paste the Tally form into the client's website, wire in their domain so the email comes from the company name, swap in the logo and the brand colors, and test by submitting a fake quote for a 2,000 square foot home with a driveway, house wash, and a deck cleaning.

The pricing logic in the OpenAI prompt benefits from a real call with the owner: they will want to set the per-square-foot driveway rate that matches their local market, set the house wash rates by siding type based on the work they actually do, tune the deck-stain prep multiplier based on whether they offer staining services after the wash, and adjust the soft-wash roof pricing based on their chemical mix and insurance. That conversation takes thirty to forty-five minutes.

Once tuned, the system runs through the spring rush without intervention. Agency operators bill setup at four hundred to seven hundred, retainer at two hundred fifty to three hundred fifty a month.