What Is GEO? A Plain-English Explainer for Local Business Owners

Generative Engine Optimization — GEO — is the practice of making sure AI assistants name and cite your business when someone asks a local question. It sounds like a rebrand of SEO. It isn't. The thing being optimized has fundamentally changed.

The ten blue links became one answer

Traditional SEO optimized for a ranked list of pages a person could scroll and click through. When someone asked Google “best med spa near me,” they got ten results and picked one. That model rewarded relevance, backlinks, and on-page signals tuned for a human scanning a page of blue links.

AI search doesn't return a list. When a customer asks ChatGPT or Google's AI for a recommendation, the model composes a short, synthesized answer that names two or three businesses and explains why each fits the request. There is no scroll. There is no page ten. You are either in that answer, or — for that customer, at that moment — you don't exist.

The two surfaces that actually matter

Not every AI tool is worth chasing. Two surfaces drive the overwhelming majority of AI-assisted local discovery, and each has a different mechanism for choosing who to recommend:

• ChatGPT answers conversational local questions for hundreds of millions of weekly users, drawing on its training plus a live web/search tool and the structured, authoritative sources it trusts — business profiles, directories, review platforms, and entity-rich web pages.
• Google AI Overviews and AI Mode sit directly on the Google results page for billions of queries. They lean heavily on Google's own business graph — anchored by your Google Business Profile — plus the wider web, reviews, and schema.org markup.

Gemini behaves as a reasonable proxy for how Google's AI reads a local business. Perplexity and other niche assistants are real but small-share — worth knowing about, not worth building a strategy around. If a fix doesn't move the needle on ChatGPT or Google AI Overviews, it's not the highest-leverage use of your time.

What the model actually weighs

When an AI assistant assembles a local recommendation, it's effectively scoring each candidate business against a handful of signals:

• Structured data — schema markup (LocalBusiness, MedicalBusiness, service and FAQ types) that tells the model precisely what you offer, where, and on what terms, in the machine-readable form it trusts most.
• The sources it quotes— Google Business Profile, Yelp, RealSelf, mapped directories, and authoritative local publications. If you're absent or stale there, you're absent from the answer.
• Review signals — recency, volume, response rate, and sentiment all feed how confidently an AI recommends you.
• Relevance and proximity— how clearly your services and location are described in a way the model can match to the customer's intent.

Why this matters now, not eventually

This isn't a future-facing bet, and you don't have to take an industry statistic's word for it. We scanned 322 med spas across the SF Bay Area, New York and Austin against 44 real “best med spa near me”-style prompts in mid-2026 — 22 asked of ChatGPT, 22 of Google AI Overviews. Not one of them appeared in all 44.The median business was missing from 43 answers. 97% were absent from more than half. Even the best performer in the whole corpus missed 9. Owners who haven't checked their AI-citation share are not choosing between good and great — most are invisible for the majority of the questions their customers actually ask.

Unlike a dip in Google rankings, there's no dashboard that tells you when you've gone invisible in an AI answer. The only way to know is to ask the same question a customer would — and check who comes back.