What does AI SEO actually cover?
When people search today, a growing share of the "results" they see were written by a machine summarizing the web, not listed by a ranking algorithm. Ask Google a question and you may get an AI Overview before any link. Ask ChatGPT who to hire and you get two or three names, not ten blue links. AI SEO is everything a business does to show up well in those synthesized answers:
- Being named at all — when someone asks for the best plumber in your city, are you a candidate the system knows exists?
- Being described accurately — right services, right service area, right reputation, nothing stale or wrong.
- Being cited — when an AI answer links its sources for a cost or process question, is your page one of them?
Note what's absent from that list: traffic. AI answers send fewer clicks than classic results — their value is that they make the shortlist for the customer. That changes what honest measurement looks like, which we cover below.
What's genuinely new — and what's rebranded SEO?
A useful filter for every "AI SEO" pitch you'll hear: most of the work is classic SEO with a new scoreboard, and a smaller slice is genuinely new. Both matter. Neither is magic.
| Rebranded (classic SEO, still required) | Genuinely new |
|---|---|
| Clear service pages, fast clean site, crawlable structure | Measuring visibility with repeated prompts instead of rank trackers |
| Consistent name, address, phone, and services everywhere | Optimizing for extraction — writing so a model can lift a correct, attributable answer |
| Review generation and Google Business Profile discipline | Tracking how you're described, not just whether you rank |
| Earning third-party mentions and local coverage | Accounting for answers that vary by phrasing, user location, and model version |
The practical consequence: you cannot skip SEO and buy "AI visibility" separately. AI systems learn about your company from the same public web Google crawls. A business that's invisible to Google is invisible to AI, with extra steps.
AI SEO, GEO, AEO, LLM SEO — what's the difference?
Mostly branding. The industry hasn't settled its vocabulary, and vendors slice the acronyms to differentiate their packages. Here's the honest decoder:
| Term | Expansion | What it emphasizes |
|---|---|---|
| AI SEO | AI search engine optimization | The umbrella term — visibility in any AI-generated search experience |
| GEO | Generative engine optimization | Getting mentioned and cited by generative engines (ChatGPT, Perplexity, AI Overviews). Full GEO guide |
| AEO | Answer engine optimization | Structuring content so machines can extract accurate answers from it. Full AEO guide |
| LLM SEO | Large language model SEO | Same discipline, named for the technology instead of the interface |
If two proposals use different acronyms for the same deliverables, they're the same proposal. Compare the work, not the label.
Which label is actually winning?
Since the acronyms describe the same work, we checked which ones people actually search for. The figures below are US monthly search volumes with the twelve-month trend, pulled from Google Ads keyword data in September 2026.
| Search term | US searches/mo | Trend (Aug 2025 → Jul 2026) |
|---|---|---|
| "ai seo" | 8,100 | Choppy — peaked at 12,100, no clear direction |
| "generative engine optimization" | 4,400 | Declining — 6,600 → 2,900 |
| "what is aeo" | 4,400 | Growing ~3.5x — 1,900 → 6,600 |
| "answer engine optimization" | 2,400 | Flat |
| "ai search optimization" | 1,300 | Growing — 880 → 1,600 |
| "llm seo" | 880 | Declining — 1,000 → 480 |
| "chatgpt seo" | 390 | Declining — 480 → 260 |
Two things jump out. First, the industry genuinely hasn't settled on a name: no single label has broken away, and three of the seven are shrinking. Second — and more telling — the fastest mover isn't a term at all but a question. "What is AEO" grew roughly 3.5x over the year while the full phrase it asks about sat flat, which means a wave of people are hearing an acronym before anyone has explained it to them. That's a vocabulary in mid-churn, not a mature category.
For a contractor the practical read is simple: don't pick a vendor by which acronym they fly. The labels are still fighting it out, some of today's will be gone in two years, and the underlying work — entity consistency, reviews, citable pages, repeated measurement — is converging no matter which one wins.
How do AI systems learn about your business?
Two mechanisms, and the distinction matters because they respond to different work:
Training data — the model's long-term memory
Large language models are trained on snapshots of the public web. If your company has years of consistent presence — a real website, directory listings, reviews, local press — the model may "know" you exist without looking anything up. This memory is slow to change and rewards longevity and breadth: every consistent public mention of your business is a small deposit. It's also why brand-new companies rarely appear in offline answers, and why cleaning up contradictory old listings matters more than it ever did for Google alone.
Live retrieval — the model's open browser tab
For current, local questions — "best HVAC company near me" — assistants increasingly search the live web and business-listing data, then summarize what they find. This is where the fight is winnable on normal timelines: your Google Business Profile, your reviews, your service pages, and roundup articles that mention you are all retrievable today. Improve them and the retrieved answers can improve within weeks, not model-training cycles.
Every credible AI SEO tactic maps to one of those two mechanisms. If a pitch can't tell you which one a deliverable feeds, it's decoration.
What does AI SEO mean for a local home service company?
Almost everything written about AI SEO is written for software companies and national brands. The local version is meaningfully different — mostly in your favor:
- The answer must be local. When someone asks who should fix their furnace in your city, the assistant has to name local companies. Your competition is the other contractors in your market — not the internet.
- Business-data signals outweigh content-brilliance signals. For "who should I call" questions, assistants lean on the review record, profile completeness, and data consistency more than on blog quality. A locksmith with 400 detailed reviews and a complete profile beats a thought-leadership blog every time.
- The emergency case still belongs to Maps. Nobody asks ChatGPT to meditate on a burst pipe. Urgent searches go to Google and the map pack — which is why AI work complements local SEO rather than replacing it.
- The research case is where AI bites. Big-ticket planned jobs — a roof replacement, a new HVAC system — involve weeks of research, and that's exactly where homeowners now ask an assistant to compare options. If you sell high-ticket planned work, AI visibility affects you first.
We work this split trade by trade — see how it plays out for roofers, HVAC companies, plumbers, electricians, and garage door companies.
What should you actually do?
In order of leverage for a local service company:
- Baseline your AI visibility. Run the 25-prompt audit — it's free, takes about an hour, and tells you whether you have an AI problem or just an anxiety about one.
- Fix your entity data. One canonical version of your name, services, and service area across your site, Google Business Profile, and directories.
- Build the review record. Volume, recency, and responses — the single strongest "who's reputable" signal for both Maps and AI answers.
- Publish citable pages for the cost and process questions in your trade, written so the answer is extractable.
- Re-measure with the same prompts and let the trend — not a vendor's screenshot — tell you if it's working.
That's also, in outline, what our AI search optimization service does — with the labor, the tooling, and the accountability attached.