AI Quote Request Chatbot for HVAC Companies in Katy, TX

Katy’s first-owner systems are coming due

Much of Katy was built in a hurry. Subdivisions spread along I-10 and the Grand Parkway through the 2000s and 2010s, across parts of Harris, Fort Bend and Waller counties, and many of those homes still run the heating and cooling equipment the builder put in. After enough Gulf Coast summers, owners stop asking for repairs and start asking what a new system would cost.

That question usually arrives as a single line on your website: “How much for a new AC?” No estimator can price it as written. It could mean one condenser or two, a matched coil or a full system with a new furnace, a like-for-like swap or a conversion to a heat pump. The air handler might sit in a hall closet, or it might be wedged into an attic that runs far hotter than the backyard in August. Finding out takes callbacks, and in peak season those stack up while the homeowner collects quotes elsewhere.

A quote request chatbot turns that one-line ask into a scope your advisor can price: your team’s questions in the right order, photos that reveal the equipment, the options the owner wants to see, and a file marked ready to price or needing a site visit. It never produces the number. It makes sure the person who does has what they need.

Scoping upstairs and downstairs systems separately

Two-story homes are the norm in Katy’s newer neighborhoods, and most of them split the load between a downstairs system and a second one serving the upper floor. The chatbot starts by asking how many thermostats the house has, then treats each system as its own line of questioning.

For each system it asks for:

• A photo of the outdoor unit’s data plate, which tells your advisor the model, the approximate capacity, the manufacture date and the refrigerant it was built for.
• A photo of the indoor unit’s label, whether that is a furnace or an air handler, plus where it sits: hall closet, garage or attic.
• For attic equipment, how the attic is reached, whether a decked walkway leads to the unit, and roughly how much headroom surrounds it. Those answers change labor and sometimes which equipment will physically fit.
• Which rooms the system serves and what the owner notices, in their own words.

Then it asks what the owner wants priced: the failing system only, both at once, or the failing one now and the other on a later proposal. If both, it asks whether they want matching efficiency tiers or would rather put more into the system that works hardest. Each system becomes a separate line in the file your advisor receives, so options can be laid out side by side instead of being untangled on the phone.

The bot records symptoms without interpreting them. A customer who says the upstairs unit “runs all day and never catches up” gets that sentence logged verbatim. Whether the system is undersized, low on refrigerant or fighting leaky ductwork is for your technician and your load calculation, not for a website assistant.

When the request is really about sticky air

On the upper Gulf Coast, plenty of replacement conversations begin with comfort rather than a breakdown. The thermostat reads 74 and the house still feels damp. Towels never quite dry. A musty smell shows up when the blower starts. Owners assume new equipment will fix it, and your advisor needs to know that humidity is the real complaint before building options.

So the chatbot asks about it directly. Does the house feel clammy at the temperature you set? Do you see condensation on supply vents or windows? Is a dehumidifier running now, portable or whole-home? What setpoint do you keep in summer, and does the system switch on and off often? Each answer is stored as a comfort note attached to the relevant system.

Next it offers the humidity-related items your company actually sells as proposal options: two-stage or variable-speed equipment, a whole-home dehumidifier, a thermostat that manages humidity as well as temperature. The owner picks what they want priced. The bot never promises any of it will solve the problem, never says a home has mold and never suggests the air is unhealthy; some of those judgments are not even HVAC judgments.

Hurricane season, flooded condensers and the replacement rush

Katy knows what water can do. Parts of the area flooded during Hurricane Harvey in 2017, and the long power outages after Hurricane Beryl in 2024 showed that storm season reaches well inland. After events like these, quote requests arrive in clusters, and many involve equipment that sat in water or quit once the power returned.

The storm branch of the chatbot asks:

• Did water reach the outdoor unit, and roughly how high? A photo showing the waterline, or a familiar object for scale, beats a guess.
• Has the unit been switched on since? Here the bot repeats your company’s own safety instruction, which is usually not to run equipment that has been underwater until someone inspects it.
• Did anything else get wet: an air handler in the garage, ductwork, the electrical disconnect?
• Would the owner like the replacement quote to include raising the condenser onto a stand or platform?
• Is an insurance claim open, and should the claim number be attached to the file?

After an outage the story is different: the system worked before the lights went out and did not work after they came back. The bot records that sequence and the dates, nothing more. It does not claim a surge caused anything, and it never comments on what an insurer might cover. It also tags storm-related requests so your office can see the volume and group advisor visits by neighborhood instead of zigzagging across the Grand Parkway.

The fields that make a Katy change-out quotable

The checklist comes from your price book, not ours; a typical Katy build starts with these fields and is adjusted during setup.

The bot keeps a running completeness check against those fields. When something required is missing, it asks once more, politely, for the photo or answer. If the customer never supplies it, the request still reaches your team, marked incomplete with the gaps listed, because a partial scope is still better than a lost lead.

Where the chatbot stops and your comfort advisor starts

In the builds we deliver for HVAC companies, these are hard rules:

• No prices. Not a range, not a “most people pay,” not a monthly payment. When a customer pushes for a ballpark, the bot explains that your advisor will price the options once the scope is reviewed and offers to finish the last few questions.
• No sizing. It never tells a customer what tonnage they need. The capacity on the old data plate is recorded as the existing size, not as a recommendation.
• No incentive promises. Utility rebates, manufacturer promotions and tax treatment change; the bot records interest and leaves the answer to your staff.
• No emergencies in the queue. A family with no cooling in a July heat wave, especially with infants, older adults or anyone medically fragile at home, is not a quote request. The bot stops the scope questions and sends them to your service line or after-hours number.
• No verdicts. It does not tell anyone their system is fine, finished or unsafe.

When the scope is complete, the file goes to your advisor with a flag. Like-for-like replacements with clear photos are marked priceable from the file, if your company quotes that way. Relocations, duct replacement, heat pump conversions and anything with water damage are marked for a site visit. The packet can be written into the field-service platform you already use (ServiceTitan, Housecall Pro, Jobber and FieldEdge are common in this trade) as a lead or estimate request with photos attached, where that platform’s API allows it.

Building your quote chatbot with EVOTECH

EVOTECH IT LLC has built web, software and AI systems for over two decades and holds a 5.0 rating on Google. Everything is delivered remotely by a US-based crew in the greater Houston area; there is no Katy storefront, and a scoping chatbot does not need one. A typical engagement runs like this:

1. A free consultation by phone or video, where you walk us through how your advisors quote replacements today and where requests stall.
2. A written, fixed-scope quote covering the build.
3. Mapping your price book’s variables, meaning the things that actually move a price, into questions, photo requests and branch rules.
4. Writing English and Spanish flows, since west Houston households use both.
5. Testing on past requests, stripped of customer details, before launch, then reviewing transcripts with you afterward.

Related reading: quote request chatbots for Texas contractors, AI chatbots for HVAC companies in Texas and AI chatbots for contractors in Katy. For a general website assistant rather than a scoping tool, see AI chatbots; HVAC companies just to the northeast can compare the Cypress page.

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