Generative engine optimization: be in the answer AI writes.
Generative engine optimization (GEO) is the practice of structuring a business's online information so AI assistants like ChatGPT, Gemini and Perplexity include it in their generated answers. Octopolis does GEO for Kansas City businesses: a free 60 second check, a $500 fixed price audit and $100 per hour fixes, no retainer.
What is generative engine optimization?
Generative engine optimization is the work of making a business legible to the AI models that write answers for customers. Traditional SEO earns you a ranked link on a results page. GEO earns you a mention inside generated prose, a sentence in an answer that may cite no sources at all. The goal shifts from being found to being named.
The distinction matters because the failure mode changes. On a results page you can rank fifth and still get the click. In a generated answer there is no fifth place: the model names a business or two and moves on, often without saying where the claim came from. If your information is thin, scattered or contradictory, the answer simply goes to someone whose information is not.
If you want the plain-English version first, start with what GEO means in marketing. If you are untangling the alphabet soup, AEO vs GEO vs SEO draws the borders between the three.
Is GEO the same as geo-targeting?
No. In marketing, GEO stands for generative engine optimization: getting a business mentioned in AI-written answers. Geo-targeting is something else entirely: aiming ads or content at people in a particular place. The two share three letters and nothing else, and searches for “geo seo” usually want one while landing on the other. This page is about the generative kind.
A local business ends up needing both, and they are not in competition. The question your customer asks is location-scoped (“plumber near me, open now”) and the answer is increasingly generated, so winning it takes classic local signals plus facts a machine can read and trust. That is why our Kansas City SEO work and our GEO work come out of the same audit rather than arriving as two invoices.
How do AI assistants decide which business to mention?
Nobody outside the model companies knows the exact recipe, and anyone who claims to is selling something. What can be said honestly: assistants favor businesses whose facts agree everywhere they appear, whose reviews are plentiful and specific, whose sites carry structured data and whose names show up in the sources models read, from maps listings to directories to local press.
Some assistants answer from what they learned in training, some retrieve live sources at question time and most blend the two. Either way the path to being named is the same: be unambiguous and be corroborated. A model deciding whether to mention your business is, crudely, checking whether the facts about you agree with each other across every place it can look. Agreement reads as real. Contradiction reads as risk, and these systems are built to avoid risky claims.
Each assistant has its own habits. Our ChatGPT SEO guide covers how that one in particular finds and names businesses.
What does GEO work involve?
Mostly unglamorous editing. GEO work means writing down what is true about your business everywhere machines check: a plain entity paragraph on your site, identical name, address and phone details across the web, a steady review habit, pages that answer questions in the words customers use, schema markup and enough public corroboration that a cautious model can verify you exist.
- An entity paragraph. One third-person paragraph on your site stating who you are, where you are, what you do and what you charge, written so it can be quoted whole.
- Consistent NAP. Name, address and phone number, identical on your site, your Google Business Profile and every directory that mentions you.
- A review habit. Earning reviews steadily and answering them, because models read the text, not just the stars.
- Question-formatted content. Pages whose headings match the questions customers actually ask, with a direct answer underneath, so there is something liftable to lift.
- Schema markup. Structured data that states your facts in the format machines parse first.
- Being checkable. Enough corroboration across maps, directories and local press that a careful model can confirm you are real.
If you want to see what question-formatted content looks like when it is built for lifting, we keep answer pages for real Kansas City questions. Each one is the shape GEO work aims for: a question in the heading, a direct answer under it and nothing a model has to untangle.
None of it is secret and none of it is magic. It also overlaps heavily with answer engine optimization, which targets featured snippets, AI Overviews and voice answers. In practice the two share a fix list, and the audit produces one list that serves both.
Does GEO matter for a local business yet?
Yes, and earlier than it feels from inside a busy week. Asking an AI assistant for a local recommendation is a young habit growing quickly, and a generated answer names far fewer businesses than a results page lists. That combination is the opportunity: the answer space is still uncrowded, and a business that gets its facts straight now is competing with almost nobody.
Two numbers describe the shift. In BrightLocal's 2026 Local Consumer Review Survey, 45% of consumers said they now ask AI tools for local business recommendations, up from 6% a year earlier. And being named pays: Seer Interactive's AI Overviews CTR study found brands cited inside an AI Overview earn 35% more organic clicks and 91% more paid clicks than brands left out.
Neither number says AI has replaced Google. It says the answer layer is forming while most local businesses are not looking, which is exactly when showing up costs the least.
What does GEO cost?
At Octopolis, GEO costs what everything costs: a free 60 second visibility check, a $500 fixed price audit delivered in five business days with a walkthrough call, then fixes at $100 per hour that you approve in advance. Most businesses need 10 to 20 hours. No retainer, no contract, no monthly optimization fee.
There is no separate GEO package because the surfaces are not separate: the audit checks Google, Google Maps, ChatGPT, Gemini, Perplexity and voice assistants in one pass, and the fix list covers whichever ones are leaking customers. The numbers stay public on the pricing page so you can hold them up against any retainer quote sitting in your inbox.
Fair questions.
What does GEO stand for in marketing?
Generative engine optimization: the practice of structuring a business's online information so AI assistants like ChatGPT, Gemini and Perplexity include it in their generated answers. It has nothing to do with geo-targeting, which means aiming ads or content at people in a specific location.
Do I need GEO if my SEO is already good?
Good SEO is the foundation and much of it carries over, but ranking is no longer the whole job. A top result earns the click when someone sees the list; it does not guarantee a mention when an assistant writes a paragraph instead, because that draws on entity consistency, review text and corroborating sources as much as rankings. The overlap is real. So is the gap.
How do I see if ChatGPT mentions my business?
Ask it the way a customer would, without naming your business: best florist in your neighborhood, a plumber open Sunday, whatever your customers actually type. Or let us run it properly: the free Octopolis visibility check asks real customer questions through Google, Google Maps and AI assistants, then emails you who gets named.
Can you guarantee AI recommends me?
No, and be wary of anyone who says they can. The models change, their sources change and nobody outside the companies that build them controls the output. What we offer instead is testable work: every claim in your audit can be checked, every fix is documented and you can rerun the same customer questions any time to see what moved.