Case study · Kitchen & bath remodeling · Orlando
A remodeler's site, built so AI search can read it.
The Kitchen & Bath Store of Orlando is a family-owned, father-and-son remodeler serving Orlando since 2021. We built them a fast, photo-led site at tkbso.com, and made it schema-rich enough that AI answer engines can read their services, pricing FAQs, and reviews straight from structured data.
Family-owned · Orlando since 2021 · three-time Angi Super Service Award winner
The live site at tkbso.com
Who they are
A father and son, remodeling kitchens and baths in Orlando.
The Kitchen & Bath Store of Orlando is a family-owned remodeler that has served the Orlando area since 2021. Mike and Ethan Stopperich run it together. They offer a free in-home consultation, financing, and transparent pricing. The things a homeowner wants to know before they ever pick up the phone.
They needed a site that answered those questions on its own, looked as good as their finished work, and turned up when someone searches, including when that search happens inside an AI assistant.
What we built
A fast, photo-led single-page site.
One page, a clear flow, and real photos doing the selling. Here is the order a visitor moves through.
- 01Hero. Photo-led header with one clear H1 and the primary call to action.
- 02About. Who the firm is and the work they do, in plain language.
- 03Founders. Mike and Ethan Stopperich, the father-and-son team, each with their own Person schema.
- 04Why choose. The reasons to pick them, stated as facts, not slogans.
- 05FAQ. Common questions, mirrored verbatim into FAQPage structured data.
- 06Awards. Three-time Angi Super Service Award winner.
- 07Services. Kitchen and bath remodeling work they take on.
- 08Before / after. A real portfolio of finished projects.
- 09Reviews. Verified customer reviews, on the page and in the markup.
- 10Service areas. Where they work, linked to geo entities.
- 11Contact. Free in-home consultation, financing, and a way to reach them.
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 exactly what is in the markup. Concrete, not hand-wavy.
Six JSON-LD structured-data blocks
HomeAndConstructionBusiness with full NAP, geo, and areaServed linked to Wikidata entities; BreadcrumbList; FAQPage mirroring the visible FAQ verbatim; Organization; and two founder Person schemas.
A clean single-H1 heading hierarchy
One H1, then a sane H2/H3 outline. Crawlers and answer engines read the page structure without guessing what matters.
Full OpenGraph and a canonical URL
Proper share previews and one canonical address, so the page is indexed once and shared cleanly.
Server-rendered static HTML
The services, the pricing FAQs, and the reviews are in the HTML before any JavaScript runs. A crawler with JS turned off still reads the whole page.
Put plainly: a fast, schema-rich site built so AI search and answer engines can read the firm's services, pricing FAQs, and verified reviews directly from structured data.
In their words
"We are absolutely thrilled with the transformation Mike and Ethan Stopperich delivered. From the initial consultation to the final touches, their professionalism and attention to detail were evident. They listened to our needs, offered valuable suggestions, and the quality of workmanship is outstanding. The project was completed on time and within budget. Highly recommend!"
Zak Zakaluk · Google review · July 2025
The questions this build answers
What an answer engine can pull from tkbso.com.
What did Voxaris build for The Kitchen & Bath Store of Orlando?
A fast, photo-led single-page marketing site at tkbso.com. It runs a clear section flow (hero, about, founders, why choose, FAQ, awards, services, before/after portfolio, reviews, service areas, contact) and answers the things homeowners ask about up front: free in-home consultation, financing, and transparent pricing.
How is the site optimized for AI search and answer engines?
It ships six JSON-LD structured-data blocks, a clean single-H1 semantic heading hierarchy, full OpenGraph, and a canonical URL. The whole page is server-rendered static HTML, so an AI answer engine can read the firm's services, pricing FAQs, and verified reviews straight from structured data. No JavaScript required.
Why does structured data matter for a remodeling business?
When someone asks an AI assistant about kitchen remodelers in Orlando, the assistant pulls from data it can read. The HomeAndConstructionBusiness schema carries the full name, address, phone, and service area linked to Wikidata entities, and the FAQPage schema mirrors the visible FAQ word for word. The firm's own facts get read, not a paraphrase 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, photo-led site looks like for you — the same way we built tkbso.com. You can see the live site any time at tkbso.com.
- ✦Fast, photo-led, server-rendered HTML
- ✦Six JSON-LD blocks built for AI search
- ✦FAQ and reviews readable from structured data
A real Orlando remodeler, built to be found.
See what a fast, schema-rich site looks like on your business. We build it, white-labeled as you.