AEO for home services: being the contractor the engine recommends

Last updated October 14, 2026. Written by the Third Coast AI team.

Answer engine optimization for an HVAC, plumbing, roofing, electrical, remodeling or restoration company is the work of getting the company named when a homeowner asks ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity and Copilot who to call for a specific job in a specific town, and it is won on service-area pages that state licensing, response time, warranty, financing and pricing in plain sentences, on a Google Business Profile with recent honest reviews, and on an Angi and Better Business Bureau record that agrees with the site. We wrote this page for the trades of West Michigan, where we meet clients in person and the prompts carry lake-effect snow and Ottawa County permits, and the mechanics apply to a contractor anywhere.

Home services is the category where "near me" has moved furthest into written answers, because the question is urgent, local and comparative all at once. A homeowner with water in the basement at nine at night asks ChatGPT or Google AI Mode for "emergency plumber in Holland who will come tonight" and gets three names with a sentence on each, and the three names are assembled from the profiles and pages the engine can read in that second. This page covers what those prompts look like, which decision factors come back when we mine them, which sources the engines cite for contractors, what the FTC's rule on reviews requires, and a plain plan.

Which questions do homeowners ask the engines?

Four shapes come up again and again in our prompt banks. The emergency ("furnace not working in Zeeland, who can come today"), the project ("kitchen remodeler in Grand Rapids for a 1950s ranch, what should it cost"), the comparison ("heat pump or new furnace for a house on the lakeshore, and who installs them") and the vetting question ("is this roofing company licensed in Michigan and what do their reviews say"). The project and comparison prompts often start with a cost or how-to question and end with "who should I call," so the page that explains the job plainly is frequently the page cited when the engine names a company.

The volume has moved. Semrush measured a 71% rise on commercial searches between November 2025 and April 2026, Pew Research measured click-through on Google results pages at 8% when an AI summary was present against 15% without one (July 2025), and a homeowner who gets a name, a phone number and "licensed, 24-hour service, financing available" inside the answer has little reason to click anything. Google's local ranking help page says local results are ranked on relevance, distance and prominence and that more reviews and positive ratings can help a business's local ranking, and the AI features are built on the same index, so a thin profile hurts twice.

How much of the engine's choice comes down to a fixed set of factors?

Most contractor sites state two or three of these and keep the rest for the phone call. Aggarwal and colleagues at Princeton (KDD 2024) measured what specific writing does for citation, with statistics lifting a page's visibility in generated answers by about 33%, cited sources by about 28% and quotations by about 41%, and for a contractor the statistics are response times, warranty years, price ranges and the license number rather than slogans. The decision factors page explains how we extract the list for a trade.

Do review sites matter more than the company's own site?

• Google Business Profile and its reviews, the single most cited source in our captures for trades prompts, read for hours, service area, reviews and photos.
• Angi, described in its Wikipedia entry as a website of crowd-sourced reviews of local businesses connecting homeowners with service professionals. A claimed, accurate profile is cited; an unclaimed one with a wrong service area is cited too.
• The Better Business Bureau, whose Wikipedia entry describes an A+ through F rating scale reflecting the organization's confidence that a business will resolve customer concerns, and nearly 400,000 accredited businesses as of July 2022. The rating page is cited for the vetting prompts specifically.
• Yelp and Nextdoor for consumer reviews and neighborhood recommendations, and local news for storm and seasonal coverage.
• Manufacturer dealer locators for the brands you install, which the engines use to confirm a certification claim.
• The state license lookup, which the engines use to confirm licensing for the vetting prompts, and your own service-area pages, read to confirm what the third parties said.

The 5W citation index attributed 85.5% of AI citations to earned, third-party media rather than brand-owned content, and Ahrefs' 75,000-brand study found brand web mentions correlated with AI Overview visibility at 0.664 against 0.218 for backlinks. For a contractor that means Google, Angi, BBB, the dealer locator and the license lookup all saying the same name, address, phone and service area, which is most of the citation and entity program for this category.

Does the FTC rule on reviews change how you collect them?

It does, and most contractors have been doing at least one of the prohibited things innocently. The FTC's Consumer Reviews and Testimonials Rule, announced August 14, 2024 and effective 60 days after its Federal Register publication, prohibits fake reviews by people who do not exist or had no experience with the business, prohibits providing compensation or other incentives conditioned on a review expressing a particular sentiment, requires insiders such as employees and their relatives to clearly disclose their connection, prohibits company-controlled sites that pretend to offer independent reviews, prohibits suppressing reviews with unfounded legal threats or intimidation, and prohibits buying fake indicators of social media influence. The FTC said the rule will enhance deterrence and strengthen its enforcement actions.

In practice that means a contractor may ask every customer for an honest review and may not offer a discount for a five-star one, may not have the crew's families post, and may not threaten a customer who left a bad review. The reviews that result are the ones the engines trust, and the reviews and reputation page covers a request process that stays inside the rule.

Is "near me" different inside an AI answer?

It is, because the engine expands the town rather than reading the homeowner's location. Google's AI features documentation says AI Overviews and AI Mode may issue multiple related searches on subtopics and data sources to build a response, and our captures show one question about a lakeshore trade splitting into 10 to 20 hidden searches that carry Holland, Zeeland, Hudsonville, Saugatuck, Grand Haven and Spring Lake, the job type, emergency availability, financing and recent reviews. A site with one "areas we serve" list matches almost none of them; a site with a short, honest section per town, saying what you do there, how fast you get there and which permits you pull, matches several. Seasonal prompts behave the same way, with lake-effect snow, ice dams, frozen pipes and spring sump pumps each becoming a page the engine can cite in the month it matters.

Can you describe a plain plan for a contractor?

1. Prompt bank by job and town. 60 to 120 prompts written the way homeowners ask, with emergency, project, comparison and vetting shapes and a variant per town you serve, across visibility, decision-factor, competitor and fact-check prompt types.
2. Mining with retrieval on. Each prompt run more than once across the engines, with the hidden searches and the citations captured.
3. Proof audit. The factor list checked against the site, the Google profile, Angi, BBB and the dealer locators, with the license number and insurance confirmed and the gaps listed.
4. Service and town pages. One page per service with price ranges, warranty and process stated plainly, one short section per town, and explanatory pages for the cost and comparison questions homeowners ask first, all checked at the publish gate.
5. Record reconciliation. Google, Angi, BBB, Yelp, Nextdoor and dealer-locator entries brought into agreement on name, address, phone and service area, a Wikidata item created, and a correction page for anything the engines get wrong.
6. Review process. A request sent to every customer after the job, with no incentive conditioned on the review, in line with the FTC's rule.
7. Verification. The prompt set re-run after indexing and monthly after that, tracked in PromptWatch and Profound alongside our own prompt miner, and reported at the prompt level with the misses included, with seasonal prompts checked before the season.

The audit takes about three weeks, the ongoing work runs through the GEO content program and the citation and entity program, and fees are quoted after a short scoping call. The Holland, Grand Haven and Muskegon pages cover the lakeshore towns where we see the most trades prompts.

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