What is GEO? Generative Engine Optimization, explained for business owners
GEO is how you get named and cited by ChatGPT, Perplexity and Gemini. Here is what it is, how it differs from SEO, and why it now decides who gets found.
If you’ve heard the term GEO thrown around and quietly nodded along, this is for you. No jargon, no gatekeeping, just what it means and why it suddenly matters for your business.
GEO in one sentence
Generative Engine Optimization (GEO) is the practice of getting your business named, quoted and cited by generative AI engines, ChatGPT, Perplexity, Gemini, Claude, when people ask them questions in your space.
That’s it. Traditional SEO asks, “How do I rank #1 on Google?” GEO asks a different question: “When someone asks an AI for a recommendation, does it mention me?”
Why this is a different game
For twenty-five years, search meant a list of links. You optimized to climb that list. But your customers’ behavior has quietly flipped:
- They ask ChatGPT “who’s the best accountant for freelancers?” instead of scrolling Google.
- They ask Perplexity to “compare the top immigration consultants” and read the synthesized answer.
- They see Google’s AI Overview at the top and never scroll to the blue links below.
In every one of those moments, an AI model picks a handful of sources to trust and cite. If you’re not one of them, you’re invisible, no matter how good your old SEO was.
GEO vs SEO: the honest comparison
| Classic SEO | GEO | |
|---|---|---|
| Goal | Rank in the list of links | Be the cited source in the answer |
| Unit of victory | A ranked page | A mention or citation |
| Who decides | Google’s ranking algorithm | Generative models + their retrieval |
| What wins | Keywords, backlinks, speed | Clarity, authority, structured answers, trust signals |
The good news: GEO and SEO aren’t enemies. Strong fundamentals still help. But GEO adds a new layer, being quotable and trustworthy in the eyes of a model, not just rankable.
What actually moves the needle
In practice, GEO comes down to a few things:
- Answer real questions clearly. Models reward content that directly answers the questions people ask, in plain language.
- Be a credible source. Authority, consistency and structured data tell a model you’re safe to cite.
- Show up everywhere the model looks. Models pull from many places, your site, reviews, mentions, communities.
- Make your content machine-readable. Clean structure and schema help engines understand and quote you.
Where to start
Before optimizing anything, you need to know where you actually stand. That’s why every engagement I do starts with a free audit across all five AI engines, so you can see whether AI can name you today, and exactly what the gap is.