Arrow Every request captured with the details a real quote needs.
Arrow AI for Home Services
Be the company AI names when something needs fixing.
Homeowners ask AI who to call: renovation, energy audits, plumbing, roofing. France DPE provides a public implementation example: service information, location pages and a request path. Arrow adapts that structure to the facts of each business.
Local GEO
Quote intake
Job scheduling
Review engine
Three systems, one service company
Found locally. Quoted fast. Scheduled.
One operating layer from “who should I call?” to the booked intervention — illustrated by the public France DPE implementation.
GEO
Cited for local jobs
Service and area pages that explain what you do, where you operate and which evidence a buyer can verify.
Explore GEO → AI Systems24/7 quote intake
Requests qualified with photos and details, quotes drafted, visits booked — urgent jobs routed to a human.
Explore AI Systems → AI StudioProof content engine
Before/afters, guides, and local pages produced as a system — the proof that wins both citations and clients.
Explore AI Studio →The problem
Homeowners ask AI who to call before they ever search a directory.
Public implementationFrance DPE: inspectable service and location pages.
Local-firstArea pages tied to actual service coverage.
Intake routingRequests collected for the agreed review workflow.
Weeks to liveScoped, built, and launched in 2–6 weeks.
How it works
From “who do I call?” to a booked job.
The France DPE website shows how service and location information can connect to a request flow. Its public implementation case does not include a measured before-and-after AI recommendation dataset.
Urgency, location, and scope sorted before your team touches it.
Visits booked against real availability, reminders included.
Jobs, statuses, and documents synced automatically.
FAQ
Home Services AI, answered
What does Arrow AI build for home-services companies?
Three connected systems: GEO visibility so AI engines name your company for local jobs, AI Systems for quote intake and scheduling, and AI Studio for proof content.
What proof is there that GEO works for local services?
The France DPE case documents public pages and their Arrow AI attribution. It establishes an implementation example; it does not establish measured recommendation growth or revenue uplift.
What is GEO for home services?
GEO structures your services, areas, prices, and proof so ChatGPT, Gemini, Perplexity, and AI Overviews can recommend your company for 'who should I call' questions.
Does the intake assistant give quotes on its own?
It drafts quotes from your pricing rules and collects the details; your team approves before anything is sent. Urgent or unusual jobs go straight to a human.
Can it connect to our scheduling and invoicing tools?
Yes. Arrow plugs into your calendar, CRM, and invoicing so booked jobs and documents land where you already work.
How long does it take to launch?
Most home-services systems move from scoping to first production launch in a matter of weeks, not months.
Get started
Build the local-answer system.
Arrow starts with a GEO audit for your services and areas, then builds the pages, proof, intake, and scheduling that turn AI answers into booked jobs — the France DPE playbook, applied to you.
Free audit → scoped proposal → build. No commitment before the plan.
Build the local source, then measure the answer.
Read the France DPE implementation case, the local-service answer hub guide and the DPE audit checklist.
Each service page should name the actual coverage, relevant qualifications, price conditions and next step. Keep critical facts current at the source and use the measurement method to distinguish a source citation from an explicit recommendation. Explore the full GEO library.