AI chatbot for window cleaning services that quotes by window count
SleekAI reads your per-window pricing, story surcharges, and zone coverage from WordPress so the bot quotes a real number and books a slot in one chat, with your own OpenAI, Anthropic, Google, or OpenRouter key billing you directly.
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Window cleaning customers want a number that matches their house
A homeowner asking for a window cleaning quote almost always volunteers the configuration in one message: 18 windows, two stories, screens included. What they don't want is a callback the next morning. SleekAI reads your per-window pricing, your story-height surcharge, and your screen and track add-ons from WordPress so the bot quotes the right number on the first message.
The pricing model is reasonably tight: per-window inside and out, with a surcharge for second-story windows and a flat fee for screen cleaning and track and sill detailing. French panes, skylights, and post-construction cleans get their own line items. SleekAI applies the right surcharges based on what the customer describes, and the total in chat is the total on the invoice.
Zone coverage matters because window cleaning routes are tight. The bot checks the visitor's zip against your service area before quoting and either books, waitlists, or refers out. Booking writes the window count, story height, address, and add-ons into WordPress against the customer record so the tech rolls up with the right ladder height and the right squeegee kit.
Workflow
How SleekAI quotes window cleaning
Index the service menu
Apply story height
Add screens and tracks
Book a real window
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A typical window cleaning conversation
Comparison
Generic chatbot vs SleekAI for window cleaning services
Generic chatbot
- Quotes a range that doesn't match the invoice
- Cannot apply a second-story surcharge in chat
- Forgets screens, tracks, and sill detailing as line items
- Doesn't know which zips you actually serve
- Sends customers to a form instead of booking
SleekAI chatbot
- Quotes per window with story surcharge applied
- Adds screen, track, and sill line items honestly
-
Reads zone from your
service_areataxonomy - Handles French panes and skylights as separate quotes
- Books a real Tuesday or Wednesday window
Features
What SleekAI gives you for Window cleaning services
Per-window pricing
Reads your per-window inside and out rate from WordPress and applies story surcharges and pane-type surcharges (French, skylight) so the chat total matches the invoice exactly.
Screen and track add-ons
Screen cleaning and track and sill detailing are flat-rate add-ons on most window cleaning menus. The bot quotes them as line items so customers see exactly what they're paying for.
Zone awareness
Checks the visitor's zip against your service area before quoting because window cleaning routes are tight and out-of-zone drives wreck the day. Out-of-zone customers get a polite decline or a long-distance rate.
Use cases
Where window cleaners use SleekAI
On the residential page
Quotes per window with story surcharge, adds screens and tracks honestly, and books a Tuesday or Wednesday slot. The tech rolls up with the right ladder height and the right kit.
On the storefront page
Handles small commercial differently: monthly recurring frequency, after-hours scheduling, and ground-level only (or with an aerial lift for taller storefronts). Routes to the commercial dispatcher.
On the post-construction page
Post-construction window cleaning prices higher because of paint overspray, drywall dust, and sticker residue. The bot recognizes the situation and routes to the construction-cleanup team rather than the recurring residential rep.
The bigger picture
Why window cleaning quoting belongs in chat
Window cleaning is a configuration problem more than a complexity problem. The customer's house has 12, 18, or 26 windows; one, two, or three stories; some number of screens; and either standard panes or French panes. Quote it correctly and the job runs on schedule with a happy customer.
Quote it wrong and the tech arrives with the wrong ladder, the wrong squeegee kit, or a customer who expected a different price. A generic chatbot does the latter because it has no view of your per-window rate, your story surcharge, or your add-on flat fees. SleekAI quotes the 18-windows-two-story-with-screens-and-tracks situation at $237 in chat, with each line item visible, and the customer sees the number that ends up on the invoice.
Booking writes the configuration into WordPress so the tech rolls up with the right 24-foot ladder, the right water-fed pole, and an honest two-hour time estimate. Zone awareness matters specifically because window cleaning routes are tight, and an out-of-zone job wrecks the day's schedule. The bot's zip check before quoting protects the route from misrouted leads.
For the operator, the win is bookings closed on the first chat, dispatch surprises avoided, and a review score that stays clean because the price quoted is the price billed. The customer experience also matters: the homeowner asked one question, got one answer, and didn't have to wait for a callback. That's usually the difference between which window cleaner wins a Saturday's worth of comparison shopping.
Questions
Common questions about SleekAI for Window cleaning services
A real number. SleekAI reads your per-window inside and out rate, your story surcharge, and your add-on flat fees from WordPress and quotes the configuration the customer describes. 18 windows, two stories, screens, tracks: $237. That's what shows up in chat, and that's what the invoice says. Ranges are what a generic chatbot offers because it has no data.
 Per-window surcharge on upstairs panes (usually $1 to $3 each) because they take a ladder and twice the setup time. The bot asks about the home's story count and applies the surcharge to the upstairs windows automatically. If you have a published rule about third-story or steep-roof exclusions, the bot mentions that too rather than quoting work the tech can't safely do.
 French panes (the multi-pane windows with crossbars) price per individual pane, typically 2x to 3x the base rate. Skylights are per-skylight flat. The bot asks about both because they're easy to miss in a count, and miscounting French panes is the single biggest source of pricing surprises in residential window cleaning.
 Your service area is stored as a taxonomy or postmeta, and the bot checks the visitor's zip before quoting. Window cleaning routes are tight (often 5 to 10 miles between jobs), and out-of-zone drives wreck the day. Out-of-zone customers get a polite "we don't cover this zip" or a long-distance rate, never a quote that gets renegotiated at the curb.
 Yes. Multibot lets the storefront page run a different intake: recurring frequency (monthly is typical), after-hours scheduling for shopping-center storefronts, and ground-level versus aerial-lift work. Commercial leads route to the commercial dispatcher rather than the residential rep, and the conversation captures the relevant context.
 Different intake. Post-construction windows have paint overspray, drywall dust, sticker residue, and sometimes silicone smears, and they price 2x to 4x standard cleaning. The bot recognizes the language ("just finished renovating," "contractor left stickers," "have paint overspray") and routes to the construction-cleanup team rather than the recurring residential rep.
 Yours. SleekAI is bring-your-own key for OpenAI, Anthropic, Google, or OpenRouter, and the model bills you directly with no per-message markup. A solo window cleaning operator usually spends $5 to $15 a month on actual model usage. GPT-4o-mini or Claude Haiku handles the standard quote flow comfortably.
 Into your WordPress conversation log, tied to the booking and address. Window count, story height, pane type, and add-ons all carry into the work order so the tech rolls up with the right ladder height and the right kit. The log is also where you spot common questions worth answering on the page itself.
 Pricing
More than 1000+
happy customers
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SleekAI
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SleekByte
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SleekMotion
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SleekPixel
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SleekRank
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SleekView
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