Case study · Drywall & paint · Central Florida
A drywall contractor's site, built so AI search can read it.
Toronto 2 Florida Drywall Services is owner-operated by Derek Romero, with 25+ years hanging and finishing drywall across Central Florida. We built them a fast Next.js site at t2fds.com. Schema-rich, with its own llms.txt, so AI answer engines can read their services, service areas, and FAQs straight from structured data.
Owner-operated · 25+ years · drywall & paint · Clermont and Orlando area
The live site at t2fds.com
Who they are
Derek Romero, hanging and finishing drywall in Central Florida.
Toronto 2 Florida Drywall Services is owner-operated by Derek Romero, with more than 25 years in drywall and paint. The work runs from drywall installation, repair and patching, and commercial drywall to Level 5 smooth finish, popcorn ceiling removal, taping and texturing, and interior and exterior painting. They cover Clermont and Orlando out to Groveland, Kissimmee, Leesburg, Minneola, Mount Dora, and The Villages.
They needed a site that laid out the services and the service area on its own, made the free estimate easy to ask for, and turned up when someone searches, including when that search happens inside an AI assistant.
What we built
A fast Next.js marketing site.
A clean site with the services, the coverage, and the FAQ doing the work. Here is what a visitor moves through.
- 01Hero. Owner-operated header with one clear H1 and the free-estimate call to action.
- 02Services. Drywall installation, repair and patching, commercial drywall, Level 5 smooth finish, popcorn ceiling removal, taping and texturing, plus interior and exterior painting.
- 03Service areas. Clermont and Orlando out to Groveland, Kissimmee, Leesburg, Minneola, Mount Dora, and The Villages.
- 04FAQ. The questions homeowners ask before they book, mirrored verbatim into FAQPage structured data.
- 05Free estimate. A free-estimate-in-24-hours CTA, with a clear way to reach Derek.
Built to be read
The structured data an AI search engine can read.
A site that looks good is not the same as a site a machine can read. We shipped both. Here is what is in the markup. Concrete, not hand-wavy.
Rich JSON-LD structured data
A HomeAndConstructionBusiness block with full NAP, GeoCoordinates, and OpeningHoursSpecification; an OfferCatalog of the drywall and painting Services; a FAQPage that mirrors the visible FAQ; AggregateRating; and a WebSite block.
A FAQPage that matches the page word for word
Every Question and Answer in the markup mirrors a question and answer a visitor can read on the page. No phantom FAQs, no paraphrase. What a crawler reads is what a homeowner reads.
OpenGraph and a canonical URL
Proper share previews and one canonical address, so the site is indexed once and shared cleanly.
A hand-written llms.txt, plus robots.txt and sitemap.xml
All three are live and return HTTP 200. The llms.txt lays out the services, service areas, and FAQs in plain text, built so AI answer engines can read them directly.
Put plainly: a fast, schema-rich Next.js site with its own llms.txt, so AI search and answer engines can read T2FDS's drywall services, service areas, and FAQs straight from structured data.
Their published standing
4.8 stars
across 84 reviews
That is Toronto 2 Florida Drywall Services' own published figure, from their Google Business Profile and the AggregateRating on their site. It is the client's rating, not a Voxaris-generated outcome — we built the site that carries it into structured data.
Source · T2FDS Google Business Profile / on-site AggregateRating
The questions this build answers
What an answer engine can pull from t2fds.com.
What did Voxaris build for Toronto 2 Florida Drywall Services?
A fast Next.js marketing site at t2fds.com. It covers their full drywall and paint work (installation, repair and patching, commercial drywall, Level 5 smooth finish, popcorn ceiling removal, taping and texturing, and interior and exterior painting) along with the Central Florida areas they serve and a free-estimate-in-24-hours CTA.
How is the site optimized for AI search and answer engines?
It ships rich JSON-LD: HomeAndConstructionBusiness with full NAP, GeoCoordinates, and hours, an OfferCatalog of Services, a FAQPage that mirrors the visible FAQ, AggregateRating, and a WebSite block. Plus OpenGraph, a canonical URL, and a hand-written llms.txt with a live robots.txt and sitemap.xml. An AI answer engine can read T2FDS's services, service areas, and FAQs straight from structured data.
Why does an llms.txt matter for a drywall contractor?
When someone asks an AI assistant who does Level 5 drywall finish near Clermont or popcorn ceiling removal in The Villages, the assistant pulls from text it can read. The llms.txt spells out the services and service areas in plain language, and the JSON-LD carries the name, address, phone, hours, and the FAQ word for word. The contractor's own facts get read, not a guess a model made up.
See it on your business
Want a site AI search can read like this one?
Tell us about your business and we'll show you what a fast, schema-rich site with its own llms.txt looks like for you — the same way we built t2fds.com. You can see the live site any time at t2fds.com.
- ✦Fast Next.js, server-rendered HTML
- ✦Rich JSON-LD plus a hand-written llms.txt
- ✦Services, service areas, and FAQs readable from structured data
A real Central Florida contractor, built to be found.
See what a fast, schema-rich site with its own llms.txt looks like on your business. We build it, white-labeled as you.