AI search optimization (AI SEO) for home service companies
AI search optimization (also called AI SEO, AEO or GEO) is the work of making your business easy for AI assistants to find, understand and recommend. For a home service company, that mostly means a strong Google Business Profile, accurate listings, fresh reviews and a website that answers real customer questions.
Published prices · Month to month, cancel any time · Every plan item except the as-needed ones has a credit value
Example · buyer question
Illustrative“Who's the best window replacement company in Plano, TX?”
AI answer
Here are three window companies Plano homeowners often mention:
45%
45% of US consumers now use ChatGPT or other AI tools for local business recommendations, up from 6% a year earlier.
42%
Business websites supply 42% of the ~1.97M citations in local AI answers (ChatGPT, Google AI Mode, AI Overviews); Google Business Profile ~29%.
In BrightLocal's study of 200k+ localized AI searches, Google Maps named a tracked business in 66% of searches; ChatGPT, AI Mode and AI Overviews named it in only 32–38%.
AI search sits on the same foundation as Google Maps: your website, your Google Business Profile, your reviews and your listings. That foundation is what we fix.
No one outside OpenAI or Google knows the exact recipe. But studies of local AI answers keep pointing to the same sources:
86% of AI citations came from brands' own websites (44%) and managed listings (42%).
Source: Yext AI citations research · (opens in a new tab) · 6.8M citations across ChatGPT, Gemini and Perplexity, Jul–Aug 2025; Yext client/prospect locations
That's why AI search isn't a separate add-on here. It's the same plan as your Google and Maps work.
You'll hear three names for overlapping work. For a roofer or a window installer it comes down to one job: when a homeowner asks an AI assistant who to call, your company comes up, with the right facts.
We do all three together with local SEO, because AI answers lean on the same Google, Maps and listing data.
Local SEOAI answers change from one run to the next. So every month we ask the same fixed set of questions on a set date, and report how often you're named next to the competitors you chose. We read the trend over several months, not a single run.
Your Understood score has two parts. Whether AI can read your site stays steady for the same site. How often you're named counts for more, and it can move between runs even when nothing on your side changed.
Month to month, cancel any time.
Our research starts in Texas. We work with home service companies anywhere in the US.
$750/mo
Best for: One location with an average job of about $500–$2,500, like plumbing, electrical, fencing or concrete.
What's included
More reasons for Google Maps and AI assistants to name you for your biggest jobs: 14 items shipped every month, plus an in-depth AI interview session.
$1,250/mo
We confirm scope and start date on the call. No payment until then.
Best for: One location with an average job of $2,500 or more, like windows and doors, siding, bath remodeling or roofing.
What's included
$2,500/mo
Best for: 2–3 locations or metros, several service lines you want to grow at once (like windows, siding and roofing), or one large operation.
What's included
They're three names for overlapping work. AEO aims at the direct answers search engines and AI assistants give. GEO aims at being named and cited when an AI writes an answer. LLMO describes the same work from the model's side: clear, consistent facts about your business wherever the models read. For a home service company we treat them as one job, done together with local SEO.
ChatGPT, Claude and Perplexity, for the monthly plans and for the $49 and $149 reports. We ask each one through its developer API with web search on, so the consumer apps can answer differently. We name only the assistants we actually run.
No one outside OpenAI knows exactly. Studies of local AI answers show they lean on sources a business controls: 86% of AI citations came from brands' own websites (44%) and managed listings (42%) (Yext, 6.8M citations across ChatGPT, Gemini and Perplexity, Jul–Aug 2025; Yext client/prospect locations). We strengthen those sources and check the answers every month.
Not for Google: it says no special markup or AI text files are required for its AI features. We keep your structured data accurate because it helps machines read your pages. It's hygiene, not a switch.
95% of ChatGPT users also use Google—unchanged from Sept 2025 to May 2026 (Similarweb). Only 18% of consumers who use AI for local search felt ready to contact the business it recommended; the rest kept researching on Google and other channels (BrightLocal, 2026). Only about 8% of local-intent searches show an AI Overview, versus about 21% of all keywords (Ahrefs, 146M desktop SERPs, Sept 2025). So we treat Google, Maps and AI as one job.
We use AI for research and first drafts. A person edits every page and checks every fact, and you approve it before it goes live.
Not by posting as fake customers. That breaks Reddit's rules and FTC rules, so if you answer questions there, do it openly as the owner. For best-of lists, we submit and nominate you where lists are earned, starting with the ones AI assistants cite for your buyer questions. We report every submission and never buy "Top 3" placements.
Or get a one-time AI visibility audit: the $49 report or the $149 Expert Action Plan