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AI search optimization for commercial contractors

AI search optimization (some call it GEO, generative engine optimization) is the work of making sure that when a buyer asks Google’s AI, Google Maps or ChatGPT who to hire, the answer is your company. The machines answer with specific names. They pick the business they can describe with evidence: profile, reviews, photos, website.

Get a free visibility audit How the AI decides ↓
Google Maps · Ask about this area
I manage six medical offices. Best commercial cleaning company around here that can handle healthcare-grade cleaning and works nights?
AI · reading profiles, reviews & photosBased on nearby businesses: Your Company looks like the strongest fit. Their profile lists medical office cleaning, floor care and disinfection, they work nights, and recent reviews from practice managers mention consistent crews and clean inspections. Photos show clinic and office jobs.
services listedhoursreview textjob photos
Do they do carpet cleaning too or only janitorial?
AIYes. Their website has a page on commercial carpet cleaning with office examples, so they handle carpets as well as nightly janitorial.
Illustrative conversation — every fact the AI uses is a signal we build

The shift, in numbers

This is not coming. It is measured.

45%

of US consumers used ChatGPT or other generative AI tools for local business recommendations in 2026, up from 6% the year before.[1]

18%

of Google searches in a March 2025 panel study showed an AI summary. People who saw one clicked a regular result 8% of the time, against 15% when there was none.[2]

800M+

people use ChatGPT every week, as of October 2025. Some of them are asking it which contractor to call.[3]

Where this is already happening

Five surfaces answer buyers today.

Google AI Overviews & AI Mode

AI answers at the top of Search name specific businesses for service questions, pulled from profiles, reviews and the local index.

Google Maps — Ask Maps

Buyers ask plain-language questions inside Maps and get specific business recommendations, built from profiles, reviews and photos.

ChatGPT

ChatGPT answers "who should I hire" with maps and business cards built from licensed review data, and a buyer can ask for a quote without ever seeing your website.

Perplexity & AI browsers

Answer engines pull local business data from the directories they license. If your listings there are thin or wrong, so are their answers about you.

Voice assistants

Voice gives one answer and no list to scroll. The business data layers behind the assistants are claimable today, and almost nobody has claimed theirs.

The common thread: none of these show ten blue links. They give one answer, maybe three names. There is no page two to hide on.

How the AI decides

The AI does not guess. It reads.

Before an AI recommends a business, it retrieves everything it can find about the candidates, then defends its pick with evidence. Thin profile, stale photos, twelve reviews that just say "great job"? The AI has nothing to argue with, so it argues for someone else.

1 · the question "Best commercial roofer for a warehouse roof?" 2 · what it reads Business Profile categories · services · attributes · hours Review text what customers say · how recent · your replies Photos real jobs it can describe, not stock art Your website service pages · structured data · plain answers The wider web directories · citations · consistency 3 · the match need: warehouse roof → evidence: "TPO roof replacement" page, review mentioning a 40,000 sq ft job, photos of flat-roof jobs 4 · the answer "I'd call Your Company — here's why…" a recommendation it can defend every box in step 2 is a service we run: profile → /google-business-profile reviews → /reviews website → /service-pages directories → /citations all of it, machine-readable → this page
Fig. 01 — how an AI turns your public footprint into a recommendation

The technical layer

Make your business machine-readable.

Humans skim. Machines parse. Structured data marks up your site so an AI knows, with certainty rather than inference, what you do, where you do it, and what you are rated. It is the difference between the AI knowing you do commercial work and hoping you might.

schema.org entity LocalBusiness one unambiguous record "name" · "telephone" identity — identical everywhere it appears "makesOffer" → services janitorial, floor care, windows — named "areaServed" the cities and counties you actually cover "aggregateRating" your rating, stated in a format AI trusts "openingHours" · "geo" when you answer, where you are FAQ & service markup your answers, quotable verbatim
Fig. 02 — structured data: what your site tells machines, with no room for doubt

We build markup for machine certainty everywhere, not as a trick for one engine. And we keep your site open to the crawlers that feed ChatGPT, Perplexity and the rest. Many contractor sites block them without knowing it, which is voluntary invisibility.

The difference it makes

Same company. Two footprints. Two answers.

Before — the invisible footprint
  • Profile: one category, no services listed, hours missing
  • 9 reviews, newest one 14 months old, none answered
  • 4 photos: a logo and three from 2019
  • Website: one page, "we do it all", no structured data
  • Name spelled three different ways across directories
AI answer"I found a few commercial cleaning companies nearby, but I don't have enough recent information about them to make a strong recommendation…"
After — the footprint we build
  • Profile: right categories, every service named and described
  • Reviews arriving steadily, every one answered
  • Fresh job photos weekly, real sites, real crews
  • A page per service per city, structured data on all of them
  • One identity, everywhere the machines look
AI answer"Your Company — they specialize in office parks and medical buildings, reviews from this year mention night crews and clean handovers, and they list weekend availability."

Who it is for

Who this is for, and who it is not for.

This is for you if
  • You sell to businesses, and the people who hire you already ask ChatGPT and Google’s AI for recommendations.
  • You rank in the map pack but want to know, in writing, what the AI says about you.
  • Your profile, reviews and website exist but were never built to be read by a machine.
  • You want a baseline, the work, and a re-check, not an "AI" line on an invoice.
Not a fit if
  • Anyone expecting a guarantee. Models change and answers vary by question. We measure; we do not promise.
  • Residential-only companies.
  • Businesses that will not give us access to the profile and website. The evidence has to be built there.

The service

What is included.

How it works

How it works, week by week.

WEEK 1 · BASELINE

Record what the AI says now

The same questions a buyer would ask, put to Google’s AI, Maps and ChatGPT, for your trade in your cities. Saved word for word.

WEEKS 2–4 · EVIDENCE

Fix the identity and the profile

Entity cleanup across directories, profile rebuilt with services and attributes, structured data on the site, crawlers allowed.

MONTHS 2–4 · DEPTH

Build what the AI quotes

Service pages with plain answers, reviews that name real work, photos of real jobs, listings on the sources other engines read.

MONTHLY · RE-CHECK

Ask again, report the change

The baseline questions asked again every month. You see the answers change, in writing.

What it costs

Pricing follows the audit.

What this costs depends on your market, how many cities you serve and which services you take. We do not publish a price list and we do not quote before we have looked. The free visibility audit comes first; it shows what needs doing, and the quote follows from that. Ask about pricing through the same form.

Straight answers

Questions owners actually ask.

Is anyone really finding contractors through AI?

Yes. In 2026, 45% of US consumers said they had used ChatGPT or other generative AI tools for local business recommendations, up from 6% the year before. Google has put AI answers at the top of Search and an assistant inside Maps. And because AI answers name one or two businesses instead of ten links, winning them is worth more than an old-fashioned ranking.

Is this separate from normal local SEO?

It is built on the same foundation: profile, reviews, content, consistency. AI adds requirements classic SEO ignores: machine-readable structured data, review text that contains evidence rather than just stars, plain-language answers an AI can quote, and presence on the data sources non-Google engines license. We do both layers.

Can you guarantee the AI recommends us?

No, and nobody honest can, because the models change and the answers vary by question. What we can do is measurable: make you the candidate with the most evidence. We record what the AIs say before we start, do the work, and show you how the answers change.

We are a small operation. Does this matter for us?

It matters more for you. A large company can lose an AI recommendation and survive on its name. For a local operator, one recommendation in Maps or ChatGPT is a real commercial job with no lead fee attached. Most of your competitors have not touched this yet, so the evidence bar in a local market is still low. That will not stay true.

What do you need from us to start?

Access to your Google Business Profile and your website, and about an hour with someone who knows the work you actually do, because the evidence we build has to be true. Photos from your crews help more than anything an agency can invent.

Free · Takes us a day

Find out what the AI says about you right now.

We ask Google’s AI, Maps and ChatGPT about your trade in your market, the way a real buyer would, and send you the answers word for word, with the reasons you are in them or not. No pitch attached to the findings. They are yours.

Business Profile Reviews For commercial cleaning For HVAC All services

Sources

  1. BrightLocal, Local Consumer Review Survey 2026 (1,002 US adults, published February 2026) — https://www.brightlocal.com/research/local-consumer-review-survey/
  2. Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results (900 US adults, March 2025; published July 22, 2025) — https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
  3. TechCrunch, Sam Altman says ChatGPT has hit 800M weekly active users (OpenAI DevDay, October 6, 2025) — https://techcrunch.com/2025/10/06/sam-altman-says-chatgpt-has-hit-800m-weekly-active-users/
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