A homeowner with a $240 monthly electric bill and a south-facing asphalt-shingle roof wants to know whether solar makes sense for their house, how big a system they would need, and what the actual out-of-pocket looks like after incentives. A generic chatbot collects a name and disappears. SleekAI reads your system tier framing, your roof and shading criteria, and your current incentive language from WordPress so the visitor gets oriented before the consult.

The example chat shows the qualification pattern. A $240 monthly bill maps roughly to 12,000 kWh annual usage, which lines up with an 8 to 10 kW system on most south-facing roofs in your service area. The bot frames the cash price range honestly, references the federal investment tax credit at its current percentage without inventing state rebates, and explains the financing options at a high level. Then it asks the roof questions: age, material, condition, shading from trees, and any pending re-roof plans, since installing on an old roof is a re-work waiting to happen.

Where the bot earns its keep is the qualification honesty. Customers with $80 bills get told politely that solar economics rarely pencil at that usage. Customers with heavy tree shade get told the production model will be reduced. Customers with old roofs get told to re-roof first. The usage estimate, roof condition, shading, and any electrification plans (EV, heat pump, induction range) all save into WordPress so the consultant walks the design with real context, not a five-line voicemail.

Solar is a sales process that punishes unqualified leads worse than almost any other home-improvement category. An in-home consultant spends two hours on a $90 electric bill that will never pencil, drives 40 minutes home, and the day is gone. A pushy generic chatbot that books every form-fill into a consult slot fills the calendar with appointments that close at terrible rates, which destroys consultant morale and runs cost-per-acquisition up to numbers that no installer can sustain.

Qualification-first intake matters because solar economics depend on the bill, the roof, and the future load. When the bot asks the bill amount, maps it to usage, frames the system size range honestly, and then asks about roof age and shading before the consult is booked, the appointment goes to a lead with a real path to a signed contract. The customer with a $90 bill gets told politely that solar rarely pencils at that usage, which saves them an awkward sales pitch and saves the consultant a wasted afternoon.

The customer with a 22-year-old shingle roof gets the re-roof-first conversation, which protects them from a $25,000 install that will need to be pulled in three years. The customer with $300 bills, a south-facing 5-year-old metal roof, and a planned EV charger and heat pump gets the consult fast, because that lead is going to convert if anyone shows up. SleekAI reads your system tiers, your incentive framing, and your roof criteria straight from WordPress so the conversation matches what your sales manager would say on the phone.

Solar installers running this fill the in-home consult calendar with leads that actually pencil, drop the cost per acquisition, and stop burning consultant hours on appointments that should never have been booked in the first place.