Greets every visitor, instantly
The moment someone lands on any service page, the widget opens a context-aware greeting tied to that page topic, whether it is a kitchen remodel or an emergency boiler call. No visitor idles in silence.
74% of calls to home-services firms go unanswered. The visitor who couldn't reach you by phone is on your website right now. An AI chat trained on your trade qualifies them, books them, and hands you a job-ready lead while you sleep.
An AI chat widget embedded in your construction or home-services website that does what your front desk does during business hours, except it never sleeps, never puts someone on hold, and never lets a hot lead slip through at 11 pm. It asks the qualifying questions that matter for your trade, scores the visitor, and books the site visit or call directly into your calendar. This service installs that engine, trains it on your jobs and pricing logic, and hands you qualified appointments, not raw form fills.
Hi! I'm the Desert HVAC Phoenix assistant. How can I help you today?
now
Is this an AC emergency, or are you looking to schedule routine maintenance?
now
Emergency — my AC is out and it's 105 degrees outside.
now
$145 — $280
Final price after on-site diagnosis.
Choose a slot — tech available:
The moment someone lands on any service page, the widget opens a context-aware greeting tied to that page topic, whether it is a kitchen remodel or an emergency boiler call. No visitor idles in silence.
Trade-specific logic: project type, scope, postcode, timeline, budget range, photos if needed. The bot knows which follow-up to ask depending on the answer, the same way your best estimator would.
High-intent leads get offered a calendar slot immediately. Lower-intent visitors get a nurture sequence. Unqualifiable requests are flagged rather than forwarded, so your team's time is spent only on real jobs.
The appointment lands in your Google Calendar with all collected data attached. The visitor gets an SMS and email confirmation. You wake up to a full diary of pre-qualified leads.
We configure qualifying flows for your specific jobs: full remodels, emergency call-outs, window replacements, HVAC installs. Generic chatbot = generic leads. Ours knows your pricing logic.
74% of home-services calls go unanswered (NextPhone, n=130,175). The chat captures the visitor who tried to call and could not get through, converting dead traffic into live appointments.
Syncs with Google Calendar and forwards a webhook to your CRM on every booking. No manual entry, no copy-paste, no chasing the form-fill on Monday morning.
Every chat widget page is marked up with schema.org so that AI search engines know you offer this service here, reinforcing your GEO and local pack presence at the same time.
The same robots.txt that lets Google index you must also let GPTBot and ClaudeBot through. Blocking them costs you -23.1% in monthly visits (Rutgers/Wharton 2025) and removes you from AI-cited answers.
We track chat opens, qualification completions, appointments booked and no-shows, tied back to the source page and traffic channel. Revenue per chat session, month on month.
When someone is looking for a contractor at 10 pm, they open two or three tabs and contact whoever responds first. 74% of calls go unanswered in home services. The website chat is the only channel that can respond instantly, qualify the job, and lock in the slot before they click the next tab. Without it, your visibility spend generates leads you then hand to the competition.
of calls to home-services firms go unanswered, across 130,175 logged calls.
NextPhone dataset · n=130,175
of missed calls can be recovered via on-site chat, based on call-answer gap data
Source: NextPhone · n=130,175
days to first qualified appointment booked via chat, typical
Source: MFB deployments
home and construction brands already running our stack
Source: Made For Builders
We review your current contact flow, calculate the qualification gap, and show you the three changes that would have the highest impact on booked appointments. Free and no obligation, delivered within 24 hours.
Every decision we make has a verifiable source behind it.
74% of calls to home-services firms go unanswered.
Across 130,175 calls in the US. The call is the dominant inbound channel in construction. A chat that catches the overflow converts traffic you already paid to acquire.
Blocking AI training bots cuts monthly visits by 23.1%.
Every page where the chat widget lives must remain crawlable by AI bots. Blocking them in robots.txt erases you from AI-cited answers and measurably cuts organic traffic.
+340% monthly AI impressions after deploying the full Made For Builders stack.
Chat qualification and AI visibility work as a system: the chat converts the visit; the AI presence generates the visit. Deploying both delivers compounding returns.
We don't ask you to trust us. Here's the official documentation and research this service is built on.
| Contact form | Made For Builders AI chat | |
|---|---|---|
| Availability | 24/7, but passive | 24/7 and active, greets every visitor |
| Lead qualification | None, you get a name and a phone number | Trade-specific qualifying flow, scored in real time |
| Appointment booking | Manual follow-up call required | Calendar slot booked in the same session |
| Response time | Hours to days | Instant, sub-second first reply |
| What gets measured | Form submissions | Qualified appointments, no-show rate, revenue per session |
We configure and manage AI chat qualification for local and multi-location businesses across all four Made For Builders markets. Each city gets its own qualifying flow, its local calendar integration, and its own conversion tracking. If you operate across several metros, each market competes and converts independently.
We map your qualifying criteria: job types, minimum scope, service area, timeline. We audit your existing contact form conversion rate and define the chat qualification logic for each key service page.
Widget deployment on your priority pages, Google Calendar sync, CRM webhook, and schema.org markup for the service pages hosting the chat. robots.txt verified to allow AI crawlers.
We walk through 50+ test conversations covering your real job types, edge cases and out-of-area requests. Flow is refined until qualification accuracy meets the agreed threshold.
Live deployment, conversion dashboard tracking chat opens, qualification completions, appointments booked and no-shows. First performance review at 30 days.
The full conversion pillar: AI chat, AI receptionist, missed-call texting and 24/7 lead qualification, worked as a single layer.
ExploreLocal SEO, GEO/AEO, schema, Google Business Profile and review management. The traffic source that feeds the chat.
ExploreAftersales, reviews, content and job reports automated so the business almost runs itself after the lead converts.
ExploreThe real questions we get every week about this service.
Thirty minutes by video or phone. No jargon. The team answers with data from your business on the table.
Talk to the teamYes, that is its primary value. The widget operates 24/7 and handles the full qualifying conversation and calendar booking without any human involvement. The 74% call-answer gap (NextPhone, n=130,175) is largest at evenings and weekends, which is exactly when home-services decisions get made. The chat captures those visitors the phone cannot.
We map your actual qualifying criteria during Week 1: job types you take, minimum scope or budget, service postcode radius, lead time, and any must-have information before you will send an estimator. The bot's branching logic mirrors how your best estimator qualifies a call. Plumbing flows differ from full-remodel flows, and we build each separately.
Out-of-area requests, scope mismatches and ambiguous cases are flagged and queued for human review rather than forwarded as qualified leads. Your team only sees leads the bot has confirmed as within your scope. This is the mechanism that keeps no-show rates low.
Google Calendar is the primary integration and covers the vast majority of home-services businesses. We also forward a webhook to your CRM on every completed booking so the lead record is created automatically, with all qualifying data attached.
Yes. For trades where visual scope matters, such as window replacement, roofing or tiling, the qualifying flow can prompt the visitor to upload photos before the appointment is confirmed. The images are attached to the calendar event and the CRM record.
We load the widget asynchronously so it does not block the page's critical rendering path. Core Web Vitals, specifically LCP, are not affected. We verify speed scores before and after deployment and hold to the project's LCP budget of under 1.8 seconds on mobile.
Yes. Every service page hosting the chat widget is marked up with schema.org (Service, LocalBusiness, FAQPage) so AI search engines understand what the page offers and where. This reinforces your citability in AI-generated answers and supports local pack presence independently of the chat itself.
We track four metrics monthly: chat open rate (share of visitors who engage), qualification completion rate (share of chats that reach a score), appointments booked, and no-show rate on those appointments. We tie bookings back to the source page and traffic channel so you can see cost-per-qualified-appointment by channel.
Yes, when configured correctly. We sign a data processing agreement, minimize the data collected to what is needed for qualification, never use visitor data to train public models, and deploy with a lawful basis and consent flow. Configuration is GDPR-grade and CCPA-ready on every rollout.
You could, but doing so would cost you visibility in AI-cited search results and, per the Rutgers/Wharton study (December 2025), -23.1% in monthly organic visits to those pages. The chat's qualifying logic is not sensitive intellectual property that requires crawler blocking. We configure robots.txt to allow GPTBot, ClaudeBot and Google-Extended on all pages where the widget is deployed.
We tell you if AI cites you today, why not, and the three things to move first. With your business data on the table. Document in 24h.
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