Be the business AI recommends.
Generative Engine Optimization for home services.
Homeowners are asking ChatGPT and Google AI 'who's the best HVAC company near me?' — and getting one or two names back. If your business isn't in that answer, you never entered the consideration set. We fix that.
You spent years ranking #1 on Google. AI just skipped past you.
Google AI Overviews. ChatGPT. Perplexity. Gemini. All four do the same thing: they read the web for the homeowner and hand back one or two recommendations. No blue links. No map pack. Just an answer.
The businesses AI recommends aren't always the ones ranking #1 on Google. AI engines weigh entities, structured data, third-party mentions, review platforms and topical authority — differently than a traditional search engine. Being 'good at SEO' isn't automatically being good at GEO.
GEO is the new discipline of engineering your presence so AI answer engines pick your business when a homeowner asks. It's the most under-priced growth channel in home services right now — because most agencies haven't figured out what to do about it, and most contractors don't know it's happening.
We do. And we've built a system that gets home service brands surfaced inside AI answers for the queries that actually convert.
Our 4-pillar GEO framework.
AI engines source recommendations from four buckets: how they see your entity, how retrievable your content is, who's talking about you off-site, and how you show up in the platforms they've been trained on. We build in all four.
Entity & Schema
Make sure AI knows exactly who you are, where you operate and what you do.
LLM-Retrievable Content
Content structured the way LLMs prefer to quote.
Third-Party Mentions
The reviews, roundups and citations AI trusts most.
Reddit, YouTube & UGC
The sources LLMs are trained on and actively cite.
Entity consolidation and schema — teaching AI who you are.
AI engines don't 'read your homepage' — they build an internal entity for your business by pulling signals from schema markup, sameAs links, review sites, directories and knowledge bases like Wikidata. If those signals are inconsistent or thin, you show up as a fuzzy, low-confidence entity — and low-confidence entities don't get recommended. We tighten the whole picture: structured data, entity relationships, categorization and consolidation across every source AI reads.
- LocalBusiness, Service, FAQ, Review and Organization schema
- sameAs relationships across every platform you appear on
- Wikidata / knowledge graph presence where applicable
- NAP consistency audit across the sources AI ingests
- Entity disambiguation (getting merged into wrong entities is common)
- Author, ownership and 'about' entity signals
Content restructured for LLM retrieval.
LLMs preferentially quote content that answers the question directly, in short, extractable chunks — with clear headings, definitive statements, tables and FAQs. Traditional 'SEO content' padded with intro paragraphs and fluff tends to lose to competitors with tighter, more answer-shaped content. We rewrite key pages in the format AI actually cites: direct answers up top, supporting evidence below, structured comparisons where appropriate.
- Rewrite service and cost pages for direct-answer extractability
- FAQ blocks tuned to the exact phrasing AI users query
- Comparison tables ("Repair vs. Replace," "Trade A vs. Trade B")
- Definitions, checklists and step-by-steps LLMs quote verbatim
- Author and expertise signals for E-E-A-T weighting
- AI answer engine testing to see what actually gets picked up
Third-party mentions and citations AI actually trusts.
Your own site is one voice. AI engines heavily weight the consensus across third-party sources — review platforms, industry roundups, local news, 'best of' lists. If Reddit, Yelp, HomeAdvisor and a couple of local news sites all mention you positively, AI treats you as the credible answer. If they don't, someone else wins the recommendation. We build coverage across the specific sources each AI engine leans on.
- Placement in 'best [trade] in [city]' roundup articles
- Review coverage across the platforms AI weights most
- Local news and community mention outreach
- Industry publication and trade association placements
- Sponsored/editorial content on high-authority local sites
- Reputation monitoring across the sources AI reads
Reddit, YouTube and UGC — the AI training grounds.
LLMs were trained on Reddit and YouTube — and Google's AI Overviews now cite Reddit threads and YouTube videos more than ever. Home service pros with authentic presence in those places get quoted; those without don't. We help you show up honestly in Reddit communities where homeowners discuss trades, produce short-form YouTube answers to common questions in your service area, and seed user-generated content that AI can find and cite.
- Reddit strategy: which subs to participate in, how to do it without getting banned
- YouTube short-form answer content ("How much does a new water heater cost?")
- AMA / expert thread participation
- Encouraging and surfacing UGC (before/afters, customer stories)
- Quora and community platform presence where applicable
- Tracking mentions and citations back into AI answers
Why GEO now — and why us.
We built a GEO practice before it had a name.
We've been optimizing for AI Overviews and answer engines since they launched in beta. This isn't a repackaged SEO service — it's a distinct discipline with its own tactics and tracking.
We actually track AI visibility.
Most agencies claim to 'do GEO' with zero measurement. We track your presence across ChatGPT, Gemini, Perplexity and Google AI Overviews for your priority queries — monthly. You see when you enter the answer, and when you leave it.
Home services is the perfect GEO fit.
AI answer queries skew heavily toward local, high-intent, service-oriented questions — exactly the queries homeowners run before hiring a trade. Contractors that get in early own this channel for years.
Compounds with everything else.
GEO signals reinforce SEO, Local SEO and reputation. Every dollar spent here compounds across the rest of your marketing stack.
Common questions.
Is GEO different from SEO?+
Overlapping but distinct. SEO optimizes for search engine ranking. GEO optimizes for how LLMs synthesize and cite information into an answer. Some tactics are shared (schema, authority), some are unique (LLM-retrievable formatting, Reddit/YouTube presence).
Can you actually track AI visibility?+
Yes. We use dedicated GEO tracking tools plus manual audits to monitor your presence in ChatGPT, Gemini, Perplexity and Google AI Overviews for your priority queries — and report on it monthly.
Isn't AI search still too new to invest in?+
It's early — which is exactly why it's worth investing now. The businesses that stake a claim inside AI recommendations today will be the default answers when the market fully shifts. Waiting until it's obvious means competing against locked-in incumbents.
Do I need SEO before GEO?+
Ideally yes. A strong SEO foundation makes GEO much easier — AI engines heavily weight authoritative, well-structured content. Most clients run the two together.
What results should I expect?+
In the first 3–4 months: measurable presence in AI answers for a growing set of priority queries. Lead attribution from AI is still maturing industry-wide — but we track direct visits, brand searches and 'came from ChatGPT' inquiries as proxies.
See what geo could do for your business.
Pick a time below. We'll audit where you stand today and show you exactly where the missed jobs are hiding.