AEO & GEO Case Study
How We Got Four Carpet Cleaning Brands Cited by AI Search: An AEO & GEO Case Study
A growing share of homeowners are asking ChatGPT, Perplexity, CoPilot, Gemini, or Google's AI Overview for service recommendations. The answer that comes back determines who gets the call. Here's exactly what we did for four real home-services brands — and what changed.
- Four local brands
- Six actions per client
- Practical takeaways
AI answer visibility
♦ Quick Answer
Why AEO & GEO matter?
When a homeowner in Chicago, Turlock, Denver, or San Diego needs their carpets cleaned today, they're not always typing "carpet cleaning near me" into Google anymore. A growing share of them are asking ChatGPT, Perplexity, CoPilot, Gemini, or Google's AI Overview something like: "What's the best eco-friendly carpet cleaning service in my area, and how much does it usually cost?"
The answer that comes back determines who gets the call. And whether your business is in that answer comes down to two disciplines that didn't really exist three years ago: Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
Over the last several months, we've taken four home-services brands — each in a completely different market — and rebuilt their content, schema, and citation footprint specifically to be picked up by these new answer engines. Here's exactly what we did, what changed, and what we learned.
SEO ranks pages. AEO and GEO make them usable sources.
Traditional SEO asks whether a page will rank. AEO asks whether it will be quoted in an AI Overview, featured snippet, or voice response. GEO asks whether AI systems will mention the brand by name when recommending a provider.
Will this page rank on the search results page?
Optimizing for the classic Google ten-blue-links view. Still relevant, but no longer the whole game.
Will this page become the source quoted in an AI Overview, featured snippet, or voice response?
Direct, extractable answers wrapped in clean structure that machines can lift.
Will ChatGPT, Perplexity, Claude, or Gemini mention this brand by name?
Named entities, factual density, verifiable expertise. Marketing fluff doesn't move this needle.
The tactics overlap with SEO, but the priorities differ. AEO and GEO reward clarity, structured information, named entities, factual density, and content that lets a language model extract a clean answer.
Pretty visuals and fluffy introductions do not move the needle by themselves. Direct, well-organized answers do. That mental shift drove every decision in the projects below.
Four markets. Four starting points. Four stories.
Green-Gen Carpet & Fine Rug Cleaning
Strong certifications, reviews, and services—but limited visibility in AI recommendations.
ASAP Carpet Cleaning
A recognized local business whose awards, expertise, and pricing were difficult for answer engines to read.
Magic Steam Carpet Cleaning
A broad geographic footprint where shallow page similarity limited citation potential.
Monster Steamer
A strong brand and pricing model needing deeper, machine-readable explanations.
What worked—and what did not
What worked
Direct, extractable answers at the top of every page.
Not every visitor reads the first paragraph, but every language model does. Putting a concise factual answer in the first 50–80 words of a service page is the single highest-leverage AEO move.
FAQ schema, used honestly.
Three boilerplate questions don't help. Eight to fourteen real questions, each answered in plain English in 2–4 sentences, do.
Structured local data.
LocalBusiness schema, AreaServed, full NAP, aggregate reviews. The basics, done correctly, applied consistently.
Pricing transparency where it's possible.
Most home-services companies are afraid of this. The ones that publish honest ranges win the AI cost queries by default, because their competitors leave the field empty.
Named expertise.
Owners, technicians, certifications, association memberships. AI engines are increasingly weighting named, verifiable individuals over anonymous brands.
Comparison and "should I" content.
"Steam vs. dry cleaning," "DIY vs. professional," "how often," "what's the difference between." This is the exact phrasing of conversational AI queries. If you don't answer it, someone else will.
An llms.txt file at the root.
Cheap to add, and it costs nothing if the engines don't read it. Some do.
What did not
Generic "ultimate guide" content without local specificity
Long doesn't equal useful.
Schema on thin pages
A two-paragraph city page with FAQ schema doesn't outrank a deep page without it. Depth comes first.
Stuffing brand mentions into content to game GEO
Language models are surprisingly good at detecting this and quietly downweight it.
Decoration without depth
The shared lesson: depth beat cosmetic optimization.
What this means if you're a home-services business owner reading this
A few practical takeaways, no pitch attached. Click each item to mark it as something to audit on your own site, your progress saves at the bottom.
Where to take this next
We're continuing to refine this work for all four clients as the AI search landscape shifts. The big movements we're tracking now:
Google AI Overviews
Tracking query triggers and cited sources.
Perplexity Citations
Monitoring depth and named expertise.
ChatGPT Search
Reviewing structure, organization, and recency.
Bing / Copilot
Watching local and commercial discovery patterns.
The work is ongoing. The brands that started this in 2025 and 2026 are building citation moats that will be expensive for competitors to catch up to in 2027.
Hear from Our Happy Clients 
Chris has done a great job for my company, we are on 1st. page on Google and Google Maps.
Edgardo Cabral
CEO and Founder, Call My Carpet Cleaner
After 28 years in business, BMA’s small business SEO services took our online presence to new heights.
Pete Delapuente
CEO, ASAP Carpet Cleaning
Their eCommerce SEO services transformed our online store. Consistent leads and sales growth!
Freddy Ibarra
CEO and Founder, Xtra Touch Carpet Care
Want to know if AI search can find you?
We'll run the same brand-citation tests on your home-services business — across ChatGPT, Perplexity, and Google's AI Overview — and tell you exactly where the gaps are. No pitch attached.