What Is GEO and How Is It Different From SEO?

What is GEO in plain terms?

People used to type a query into Google and pick a site from a page of links. Now more and more of them ask ChatGPT and get a ready-made answer: a few clinics, a couple of agencies, one recommendation. The websites behind that answer act as sources, and the businesses named in it win a customer without anyone clicking through search results.

GEO answers one question: how do you make sure you're the one in that answer? For that, the AI has to find your site, understand what you do and see outside confirmation: reviews, directory listings, press.

You'll see the term in several forms: GEO, AEO (Answer Engine Optimization), LLM SEO, AI SEO. They all mean the same thing: optimizing for AI-generated answers.

How is GEO different from SEO?

The main difference is where the result shows up and how you measure it. Here's a side-by-side comparison:

There's a practical difference too. In search results, people see a page of options and compare them. An AI answer usually names just a few, and if you're not among them, the person may never reach your site at all.

What do GEO and SEO have in common?

More than you might think. ChatGPT with search relies heavily on the Bing index, while Gemini and AI Overviews draw on Google's. If your site is poorly indexed, the AI has nothing to build an answer from.

The shared foundation:

• the site loads fast and without errors;
• every page has a clear title and meta description;
• there's a sitemap.xml that includes all important pages;
• the copy is written for people and answers their questions;
• other websites link to you and write about you.

That's why solid SEO makes GEO noticeably easier. Weak SEO holds back both at once.

Which factors matter specifically for GEO?

On top of the SEO foundation, there are signals that matter mainly to AI tools:

• Access for AI crawlers. robots.txt doesn't block GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot or Google-Extended.
• An answer at the top of the page. The first 2–3 sentences directly answer the question in the heading. A fragment like that is easy for the AI to lift into its answer whole.
• Schema.org and FAQ markup. Structured data about your company, services, address and common questions.
• llms.txt. A short description of your site for language models. The format was proposed in 2024, it hasn't become an official standard, and support from major AI companies isn't guaranteed. More in our guide what llms.txt is and whether your site needs it.
• Consistent facts. Your name, address, phone, prices and services match across your site, Google Maps and directories.
• Outside mentions. Rankings, roundups, reviews and ratings the AI can point to.

The first five are fully in your hands. The last one takes time and work beyond your own site, and it's the one that decides whether the AI recommends you.

How do you measure GEO results?

GEO has no rankings in the usual sense: the answer is generated from scratch for every question. So results are measured with regular checks. You take a fixed set of brand and category queries, run them through AI tools once a month and record whether your business was mentioned, which sources were cited and which competitors came up.

Here's an example from our own work. After we launched a GEO setup on insync.com.ua, the site went from 0 to 24 citations in ChatGPT in roughly a week and a half. For 4 out of 4 brand queries, the AI knows the agency and describes its positioning. Technical readiness for AI crawlers, per our own 8-factor audit, is 100/100.

At the same time, InSync still isn't named for category queries like "best agency for…". That's a normal picture: your site teaches the AI about you, while recommendations take outside mentions and time. How to run this kind of check yourself is covered in how to check whether ChatGPT sees your business.

Do you need GEO if your SEO already works?

If customers find you through Google, keep doing SEO. GEO covers a different scenario: someone asks an AI for advice and picks from whatever it names. That scenario matters most in niches where people choose based on recommendations: healthcare, restaurants, beauty, B2B services.

It's time to start GEO if:

• your customers ask long questions like "where should I go", "who should I hire", "which is better";
• your competitors already show up in ChatGPT answers and you don't;
• you work across several markets or with a diaspora audience abroad, where new customers find you through search and AI;
• you already have an SEO foundation and want more out of your existing content.

The practical steps are laid out in our guide how to get into ChatGPT answers.

How much does GEO cost, and where do you start?

Based on our market review, entry-level GEO offers run $200–500 a month, a proper test costs $2,000–5,000 a month, and serious projects go for $8,000–15,000 a month and up. Some agencies sell GEO starting at $6,000 a month. The full breakdown is in how much GEO costs in 2026.

The easiest place to start is a measurement. A free AI visibility audit checks 8 factors in 60 seconds: whether the site responds, title, meta description, Schema.org, FAQ markup, llms.txt, AI crawler access in robots.txt and sitemap.xml.

From there, you can automate the work with GEO Autopilot. The first month is $199 and covers setup, the first measurement and the first 4 pages; after that it's $149 a month, with a 3-month minimum. Every month brings 4 new pages and a before-and-after report. First mentions in AI answers usually appear within 2–4 months. We don't promise "#1 in ChatGPT", because nobody can guarantee it.