What GEO is (and why most agencies aren't talking about it yet)
GEO stands for Generative Engine Optimization. It's the practice of making sure AI systems — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini — mention and recommend your business when people ask for services.
This is different from SEO. SEO is about ranking your website in Google's search results. GEO is about being cited inside the AI-generated answer that increasingly replaces search results.
The shift is real, and it's accelerating. SparkToro's analysis of Google search behavior found that nearly 60% of Google searches now end without a click — the searcher gets the answer directly from Google's interface, including AI Overviews. For local service searches, that share is lower but rising fast.
In our experience working with trade businesses across Texas, the owners who understand this early are already winning. The ones who keep treating SEO and GEO as the same thing will be invisible in AI answers by 2027.
How AI systems decide which businesses to recommend
When a user asks ChatGPT "who's the best HVAC company in Houston?", the model doesn't have a database of HVAC companies it ranks. It generates an answer based on its training data and (for newer models) live web search.
What pushes a specific business into the answer:
-
Review density and sentiment. Models weight businesses that have many positive reviews across multiple platforms — Google, Yelp, BBB, industry directories. A business with 200 Google reviews + 50 Yelp reviews + 30 BBB reviews is more "knowable" to AI than one with 200 Google reviews alone.
-
Structured data / schema markup. Schema.org markup (specifically
LocalBusiness,Service,FAQPage,Review) tells AI parsers exactly what your business is, what it offers, and what people say about it. Sites with comprehensive schema get cited more often. -
Directory presence and NAP consistency. AI models cross-reference your business across the open web. Inconsistent name, address, phone, or category data reduces their confidence in your business.
-
Website authority and content depth. Thin websites (homepage + contact + maybe a services page) rarely get cited. AI models prefer sites that have demonstrated expertise — detailed service pages, FAQ content, blog posts that answer specific questions.
-
Brand mentions across the web. Press, forum discussions (Reddit, Nextdoor), trade publication features, local news coverage. The broader your digital footprint, the more "real" you look to an AI.
-
Direct answers to the queries AI cares about. AI models pull complete, quotable sentences. Content that directly answers "what's the cost of a roof replacement in Dallas?" gets cited more than content that buries the answer under five paragraphs.
What trade businesses can do right now
You don't need a six-figure marketing budget to start. The early moves are mostly foundation work:
Claim and optimize every directory listing
- Google Business Profile (this is non-negotiable)
- Yelp, BBB, Apple Business Connect, Bing Places
- Industry-specific: HomeAdvisor, Angi, Houzz (for remodelers), Nextdoor
- Make sure NAP is identical everywhere
Build review volume aggressively
- Automate the ask via your CRM (ServiceTitan, Jobber, Housecall Pro all support this)
- Goal: 100+ Google reviews with a steady 5+ per month coming in
- Encourage detailed reviews — they're more useful to AI than "great service" one-liners
Add comprehensive FAQ schema to every page
- Every service page should have a FAQ section with 6-10 questions
- Wrap them in JSON-LD
FAQPageschema (Google and AI models both parse this) - Answer real questions homeowners ask: cost, timeline, warranty, payment options
Create content that directly answers questions
- Write definitive pricing guides for your market ("Average cost of a roof replacement in Dallas in 2026")
- Cover edge cases and specific scenarios homeowners search for
- Use clear, factual language — AI models pull quotable sentences, not marketing fluff
Ensure NAP consistency across the web
- Audit your business listings using a tool like Moz Local or BrightLocal
- Fix inconsistencies (the most common:
McanixvsMCANIXvsMcanix LLC)
Why first-mover advantage matters
In our experience, most marketing agencies serving trade businesses haven't even started talking about GEO yet. They're still optimizing for 2020 Google. That gives the businesses who move now a 12-24 month window before this becomes table stakes.
Once every roofer, plumber, and HVAC company in your market has comprehensive schema, 100+ reviews, and AI-readable content, the playing field levels out. Today, it doesn't — and the businesses making the investment now are building a lead that's hard to catch up to.
This is similar to the early days of local SEO in 2012-2015. The companies that claimed their GBP, built citations, and got reviews early became dominant. The latecomers spent the next decade trying to catch up.
What doesn't work (yet)
- Paying for AI listings. No legitimate "get listed on ChatGPT" service exists. Anyone offering this is scamming you.
- Stuffing your site with AI-generated content. Detection has improved. Plus, low-quality content hurts your domain authority for both SEO and GEO.
- Treating GEO as a one-and-done project. Like SEO, this is ongoing. AI models update, training data refreshes, your competitive landscape changes.
The bottom line
GEO isn't a fad. AI search is replacing a growing share of traditional search, and the businesses that show up in AI answers are the ones built on a foundation of reviews, structured data, consistent NAP, and authoritative content.
Most of the work overlaps with good SEO. The difference is in the details — schema markup, content structure, and intentional optimization for how AI models pull information.
For more on the specific tactics, read our piece on showing up in AI search results or learn more about our GEO and AI SEO services.
If you want a free audit of your current AI visibility (we'll check where you show up in ChatGPT, Perplexity, and Google AI Overviews for your top queries), get in touch.