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Case Studies/Mr. Fresh Carpet Care
Carpet CleaningOngoing

How Mr. Fresh Carpet Care books paying jobs straight from ChatGPT

A 13-year-old carpet cleaning and water damage company with a perfect 5.0 Yelp rating was invisible to AI search. A custom-coded site and a citation foundation turned ChatGPT into a booking channel.

$500-$5,000

water damage jobs booked straight from ChatGPT

01

The Challenge

Mr. Fresh Carpet Care has served Fairfield and the surrounding Northern California cities since 2013. IICRC certified, 126-plus Yelp reviews, a perfect 5.0 rating. The work was never the problem.

The web presence was. At baseline, the business was listed correctly in 3 of the 40 directories AI engines pull from. When someone asked ChatGPT for a carpet cleaner or a water damage company nearby, Mr. Fresh did not exist.

In a hybrid trade where a single water damage job can be worth thousands, that invisibility has a price tag.

02

The Solution

1

Custom-coded website

Rebuilt from scratch in code. No WordPress, no page builder. Fast, schema-complete, and structured so AI crawlers can read every service and every city.

2

Ten locked service areas

Suisun City, Vacaville, Vallejo, Napa, Benicia, and five more, chosen deliberately. Cities too far to realistically rank were excluded instead of chased.

3

Citation buildout

Directory-by-directory buildout across the 40 sources AI engines trust most, correcting the name, address, and phone data that tells AI this is one real business.

4

Local content engine

Geo-targeted service pages and weekly local content covering the exact jobs and cities the business wants, in the question-and-answer structure AI platforms extract from.

03

The Process

Every Pleiades engagement runs the same four phases. The work compounds, which is why results show up fast and keep building.

1

Phase 1

AI visibility audit

We run the business through ChatGPT, Perplexity, Claude, and Google AI Overviews and map exactly where it does and does not appear, and why.

2

Phase 2

Directory foundation

We claim and complete the Foursquare, Bing Places, Apple Maps, and citation listings AI engines pull from, with consistent NAP across every platform.

3

Phase 3

Schema and content

We add LocalBusiness and Service schema and restructure key content so AI crawlers can read and cite exactly what the business offers.

4

Phase 4

Tracking and iteration

We monitor citation rate across every AI engine each month and keep refining what moves it.

04

The Results

<30 days

To the first ChatGPT-attributed lead

$500-$5,000

Water damage jobs booked from ChatGPT

+186%

Google search impressions, May to June

+121%

Google search clicks, May to June

Bar chart of weekly Google Search impressions for mrfreshcarpetcare.com rising from 340 in the first week to a 931 peak by week six
Weekly Google Search impressions for mrfreshcarpetcare.com across the first eight weeks of the engagement. Source: Google Search Console.

Key Takeaway

Repeat ChatGPT-attributed bookings, confirmed by the owner, inside the first two months. A fully custom-coded site ranks as well as anything on the market and gets cited by AI engines. The proof is real paying water damage jobs, $500 to $5,000 each, that started as a ChatGPT answer.

All figures verified from client reporting. Individual results vary by market and competition.

Want results like Mr. Fresh Carpet Care?

Book a growth analysis call. We test your business live across ChatGPT, Perplexity, and Google AI Overviews and show you exactly what to fix.

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