AI Search Optimization That Turns AI Answers Into Booked Jobs

What is AI search optimization?

AI search optimization (AI SEO) is the work of making your business the one AI tools recommend when a customer asks for a service you provide. It has two halves: answer engine optimization (AEO) — winning the direct answers in Google's AI Overviews, featured snippets and voice search — and generative engine optimization (GEO) — earning citations and recommendations inside responses generated by ChatGPT, Gemini, Claude and Perplexity.

For a home service business the two are one discipline: make your company the safest possible answer for a machine to give.

Why this matters right now

• 45% of consumers used an AI tool to find a local business in the past year — up from 6% the year before. Adoption is highest among the 30–44 year olds who book electricians, HVAC techs and plumbers.
• ChatGPT recommends only 1.2% of business locations, per SOCi's Local Visibility Index — and there's only ~45% overlap with Google's Map Pack winners. The AI leaderboard in most cities is still unclaimed.
• AI referrals convert around 15.9% versus ~1.76% for Google organic. The customer arrives pre-sold, because the AI already made the recommendation.

I wrote up the full data picture in my AI search optimization guide — this page is about what I actually do for clients.

What my AI SEO service includes

1. AI visibility audit. I ask ChatGPT, Gemini, Claude and Perplexity the exact questions your customers ask — "best [trade] in [city]", "who should I call for [problem]" — and document where you appear, where you don't, and who's being named instead.
2. Data layer fixes. Identical name, address and phone across Google Business Profile, Foursquare, Bing Places, Apple Business Connect, Yelp, Facebook and BBB — the directories AI engines actually read. My 42-point GBP checklist anchors this stage.
3. Review breadth engine. AI-recommended businesses average 4.3+ stars across multiple platforms. I set up review flows that build Google, Yelp and Facebook simultaneously — velocity, recency and breadth.
4. Entity & technical layer. LocalBusiness/Service/FAQ schema that matches your profiles exactly, an llms.txt file (this site publishes its own — you're looking at my proof of work), and fast, crawlable pages open to AI crawlers.
5. Citable content. Pages that answer real customer questions in the first two sentences, with statistics, plain pricing guidance and FAQ markup — the format research shows generative engines prefer to cite.
6. Monthly AI answer tracking. The new rank tracking: what each engine says about your business and your competitors, logged monthly, tied to call and lead sources in GA4.

Platform playbooks

Each AI engine picks businesses differently — different crawlers, different data partners, different trust signals. I keep a dedicated playbook for each:

Why me for AI search optimization

• I practice it on this site. Structured data on every page, a live llms.txt, content formatted for AI citation — the same system I sell is the one you're reading.
• Home services only. I build AI visibility for electricians, HVAC companies, plumbers and pest control — where an AI recommendation is a booked job, not a pageview.
• Built on real local SEO. AI engines reward the same fundamentals Google does — my documented results include doubling a Texas electrical company's traffic in 6 months and 359K organic clicks for a UK client.

Frequently Asked Questions