What Is GEO? Next-Generation Visibility in the Age of AI

Your customers no longer just type two words into a search box and scan a list of links. They ask a full question, such as “Can you recommend a dentist in Kurtköy who is good with kids?”, and what comes back is a ready-made answer instead of a list. If your name is in that answer, you are visible. If it isn't, you are not part of that conversation.

GEO deals with exactly this new situation. This guide is written for a business owner hearing the term for the first time, and it answers the obvious questions in order: what is it, how does it work, do I need it, and where do I start? We have kept the technical detail simple, and where something is not known for certain, we say so.

By the end you will have a clear view of the components of GEO, which parts of it can be measured, and the steps you can take on your own within a month.

What is GEO, and what exactly does it optimize?

GEO stands for “Generative Engine Optimization.” A generative engine is a system that answers a question with text it writes itself rather than with a list of links. The term entered circulation through an academic paper published in 2023 (Aggarwal et al., KDD 2024) and quickly settled into the marketing world.

In classic search, the thing you optimize is a page's position in the results list. In GEO, the thing you optimize is what the AI knows about you, where it verifies what it knows, and whether it uses you when it writes the answer.

GEO has two separate goals

The first is being cited. When the AI answers a question, it draws on a paragraph from your site and places a link to your page next to the answer. This is the goal for informational questions such as “Who is reformer Pilates not suitable for?”

The second is being recommended. The user asks for a service provider, the AI lists a few names, and yours is one of them. There may be no link here at all; what matters is that your name appears alongside the right service and the right neighborhood.

The two goals follow partly different paths. Being cited depends largely on the content on your own site. Being recommended also depends on what is written about you elsewhere. Good GEO work handles both together.

Other names for the same work

You may run into different acronyms describing the same subject: AEO (answer engine optimization), LLMO (large language model optimization) or simply “AI SEO.” There are subtle differences in emphasis, but for a small business they describe the same to-do list in practice. Whichever one appears in a proposal, look at the tasks listed underneath it.

What GEO is not

GEO is not paying an AI company to be pushed to the front. The visibility described in this guide is organic, meaning unpaid.

Nor is it writing hidden text meant to trick the AI. And having AI produce your content is a separate topic altogether. GEO is not concerned with who produces the content; it is concerned with whether the content you produce gets found and used by AI.

How do AI search engines build an answer?

An AI assistant's knowledge comes from two sources. Knowing which one it is using is the key to understanding what will take effect in GEO, and how quickly.

Source one: the model's memory from training

Language models are trained on an enormous body of text collected up to a certain date. The model does not store that text word for word; it learns the relationships between concepts and names. If your brand appeared in that text often enough and consistently enough, the model recognizes you. If it didn't, the model doesn't.

This memory is slow to update. A page you add to your site today can enter the model's memory only in one of the later training rounds, and only if that content is collected.

Most small and local businesses are either absent from this memory or present only as a very faint trace. That is normal, and on its own it is not a problem, because the second source comes into play.

Source two: live search at the moment of the question

For questions about current information, local businesses, opening hours and the like, the assistant searches the web instead of trusting its memory. It reads the pages it finds and writes the answer based on them. In the technical literature this method is called RAG (retrieval-augmented generation).

For small businesses, this is where GEO is really played. An improvement you make here can take effect without waiting for the model to be retrained.

The process works roughly like this:

1. The question is understood

   The assistant works out the intent behind the user's sentence: do they want information, a comparison, or a provider? Location and the earlier part of the conversation are also factored in at this stage.

2. It is split into sub-queries

   Behind the scenes, a single question is turned into several different search queries. A question about a children's dentist can become separate searches for a list of dentists, for reviews and for information on pediatric dental care.

3. Candidate pages are gathered

   The queries are run against a search index, and pages that look relevant are taken as candidates. A page that is not in the index, or that the crawler cannot reach, is eliminated at this stage.

4. Passages are selected

   The assistant does not use the whole page, only the sections most relevant to the question. A clear paragraph that makes sense on its own stands out here.

5. The answer is written

   The selected passages are combined with the model's own knowledge to produce a single answer. Information that appears consistently across several sources is more likely to make it in.

6. Sources are shown

   Most platforms add the pages they drew on as links. The user can click if they wish; most of the time they read the answer and move on.

Every step in this process is an elimination point. If your page is not in the index, you lose at step three. If your paragraphs are disorganized, you lose at step four. If your information contradicts other sources, you lose at step five. The components of GEO map onto these elimination points one by one.

What changes from platform to platform?

The general logic is shared; the details vary by platform, and the platforms update those details often. The table below is a directional summary, not a precise technical diagram.

The practical conclusion is this: instead of hunting for a trick specific to one platform, strengthen the things all of them need. An accessible site, clear content and consistent brand information work on all four.

Let's follow one example

Suppose someone who lives in Kartal, a district on Istanbul's Anatolian side, types this into an assistant: “I have a herniated disc in my neck and I don't want surgery. Who can I see around Kartal?” That single sentence contains both a need for information and a search for a provider.

The assistant will most likely search in two directions. On one side, it looks for pages that explain non-surgical options for a herniated disc in the neck. On the other, it looks for businesses in and around Kartal that offer this service. When it writes the answer, it combines the two: first it summarizes the options, then it lists a few places by name.

There are two ways to appear in that answer. If your site has a page that explains neck disc herniation and non-surgical approaches in plain language, you can be a source for the informational half. If the web states clearly and consistently that your business provides this service in Kartal, you can be named in the recommendation half. A business that has both has a chance of showing up in both halves of the answer.

How does an AI decide which source to use?

No platform has published its formula for choosing sources. Even so, six criteria can be inferred from how these systems work and from the general guidelines the platforms have published.

1. Accessibility. If the crawler cannot reach your page, nothing else matters. A robots.txt block, a login wall, content that loads only through JavaScript and a server that responds very slowly are the most common obstacles.

2. Relevance to the question. Does your page actually answer the question being asked? A generic page titled “Our Services” is a weak candidate for the question “How many sessions does implant treatment take?” A page with a section dedicated to that question is a strong one.

3. A passage that makes sense on its own. The assistant lifts a paragraph out of its context and uses it. The sentence “The method we mentioned above also applies in this case” says nothing by itself. A paragraph that keeps its subject, its topic and its claim in the same sentence holds its meaning wherever it is carried.

4. Verifiability. When the same information appears consistently across more than one independent source, the assistant leans on it more comfortably. This is why it matters that your business name, address and services are written the same way everywhere.

5. Trust signals. Pages that show who wrote the piece, that the business is real and that the expertise is documented are more trustworthy candidates. An author name, credentials, contact details and a list of references are among these signals.

6. Freshness. For topics that change (opening hours, regulations, campaign terms), content that is recent and clearly dated is preferred. A page written years ago and never touched falls behind an up-to-date one.

What are the GEO components inside your own site?

GEO is made up of seven components. Five of them live on your own site and are fully under your control. Let's look at the whole picture first.

1. Entity and brand clarity

To an AI, an “entity” is a single thing that can be told apart from similar things: a business, a person, a place. Your job is to define your business so clearly that a machine cannot confuse it with anything else.

To do that, your site should state the following in open, plain text: the full name of the business, what it does, which neighborhoods it serves, who runs it and how to reach it. This is why the About page is one of the most valuable pages in GEO.

Sentences like “quality service backed by years of experience” tell a machine nothing. The sentence “a two-dentist clinic in Kurtköy providing dental care for children and adults” tells it everything it needs.

Consistency is the second requirement. Your name, address and phone number (NAP for short) must be identical, character for character, on your site, your Google Business Profile, your social media accounts and directory sites. If your long legal name appears in one place and the shortened name from your storefront sign appears in another, a machine may take them for two different businesses.

2. Quotable content

Quotable content is content that gives the answer first. The heading asks a question, the first sentence underneath answers it, and the detail follows. It is the same order journalism uses: the news first, the background after.

In practice, these formats work well:

• A definition sentence: a clear, one-sentence definition in the form “X is this.”
• A question heading with a short answer: a heading written the way the customer asks it, followed by an answer of two or three sentences.
• A list of steps: the numbered steps of a process.
• A comparison table: two options shown side by side against the same criteria.
• A summary at the top of the page: a two- or three-sentence “in short” box at the very start of the piece.

The content also has to be original. An AI has no reason to take from you the generic information that every site explains in the same sentences. Knowledge that comes from your own experience is valuable because it cannot be found elsewhere: what you recommend in which situation and why, how the process works at your business, what customers most often get wrong.

Here is the difference in an example. The sentence “In our clinic, root canal treatment is performed with the latest technology, with patient satisfaction as our priority” cannot be quoted, because it contains no information. The sentence “In a root canal treatment, the inflamed tissue inside the tooth is cleaned out, the canals are filled, and the tooth stays in the mouth instead of being extracted” can be quoted, because it answers a question.

3. Structured data

Structured data is a set of labels added to a page's code that tell a machine explicitly what the content is. The shared vocabulary is defined by schema.org. Visitors do not see it; search engines and other software read it.

For a local business, the priority types are these: the business itself (name, address, phone, opening hours, service area), the person who runs it (title, education, certifications), the services offered, frequently asked questions, blog posts and the breadcrumb trail.

To be candid, the platforms have not documented how much structured data directly affects AI answers. Two things are certain: it helps search engines understand the page correctly, and it presents your business information in a single, consistent form. Because AI search relies heavily on search indexes, this investment is not wasted.

4. Crawler access

Every AI company crawls the web with its own crawlers, also called bots. The robots.txt file in your site's root directory tells these bots what they may access. A bot that has been blocked in that file, whether by mistake or by a security plugin, cannot read your site at all.

The distinction you need to know is this: most companies run the bot that collects content for model training and the bot that works while looking for an answer to a user's question under separate names. At OpenAI, for example, GPTBot relates to training and OAI-SearchBot relates to search. Anthropic and Perplexity also run their own bots, such as ClaudeBot and PerplexityBot.

Things are a little different at Google. The AI Overviews on the search page rely on the index crawled by the regular Googlebot. A separate control called Google-Extended governs the use of your content in Gemini models.

For most small businesses, the right decision is to allow all of them, because the goal is to be found. If you are a publisher that earns money by selling its content, the decision may be different. What matters is that the decision is made deliberately.

The second dimension of access is technical readability. Many AI crawlers do not run JavaScript, or run it only to a limited extent. If your content is loaded by code after the page opens, the bot may see an empty page.

The safest route is for the content to arrive from the server as ready-made HTML. This decision is made at the web design stage, and it is one of the most laborious to fix afterward.

5. llms.txt

llms.txt is a plain text file placed in the site's root directory that offers AI a short summary of the site. It contains who the business is, a list of the most important pages and a one-sentence description of each. Some sites also publish a second file, called llms-full.txt, that holds the full text of the content.

Let's be clear here: llms.txt is a proposal, not an official standard. There is no explicit commitment from the major platforms that they use this file as a selection signal.

Still, it is easy to prepare, it does no harm, and it gives you the discipline of summarizing your site in a few sentences. Think of it as a low-cost piece of preparation, not a magic key.

If you are curious what this looks like in practice, you can look at our work for physiotherapist Emine Yağmur Akarçeşme and GK Therapy. In both, llms.txt and llms-full.txt files, a robots.txt open to AI crawlers, schema.org structured data and contact details that match the Google Business Profile exactly were set up together.

What are the GEO components outside your site?

What you say about yourself on your own site is not enough by itself. An AI, just like a person, also looks at what others say about you.

6. Third-party mentions

A third-party mention is your business name appearing on a page that does not belong to you. It does not have to include a link; it is enough for your name to appear alongside the right service and the right location.

For a local business, realistic sources of mentions are these:

• Member lists of a professional chamber, association or trade body
• Directories and booking platforms specific to your industry
• Local news sites and neighborhood guides
• The websites of your business partners, your suppliers or the brands you are a solution partner of
• Publications you contribute to as a guest author
• Your social media profiles and your LinkedIn company page

What matters here is relevance and consistency, not quantity. Rather than registering with dozens of directories unrelated to your industry, it is worth more to be present, with complete and identical information, in the few places your customer actually looks. This work overlaps heavily with building local citations as part of local SEO.

The most solid way to earn a mention is to do something worth mentioning. Supporting an event in your neighborhood, giving a talk at your professional association or preparing a joint guide with a business partner leaves a more lasting trace than paid promotional articles.

7. Reviews

Reviews work in two ways. First, they show that the business is real and active. Second, they give the AI information in the customer's words rather than yours. A review that says “My child walked out without crying for the first time” confirms your “child-friendly clinic” claim on your behalf.

This is why the content of a review matters as much as its rating. When you ask a customer for a review, ask them to mention which service they received and to describe the experience in their own words. A review like that is worth more than an empty five-star one.

Your replies to reviews are read as well. Write short, personal replies in which you mention your service and your neighborhood naturally; don't paste the same stock sentence under every review.

Fake or paid-for reviews violate platform rules and destroy trust completely once they are noticed. We covered the details of review management in our guide to optimizing your Google Business Profile.

Is GEO replacing SEO?

No. Remember step three of the process above: the assistant gathers candidate pages from a search index. A page that is not well placed in the index has a low chance of making it into an AI answer. In that sense, SEO is the ground GEO stands on.

The difference is at the finish line. In SEO, the goal is for the user to click through to your site. In GEO, the user often doesn't click; they get the answer from the assistant and learn the name of your business there. That changes how you measure, how you format content and how much weight off-site work carries.

How to split effort and budget between the two is a separate, longer subject. We cover it, with a decision table by business type, in SEO vs. GEO.

Who should prioritize GEO, and who can wait?

Not every business needs to give GEO the same weight today. To decide, ask yourself three questions.

Do your customers research before they decide? In fields such as healthcare, law, education, consulting, renovation and software, the customer asks questions, compares and then chooses. Part of that research is now done in AI assistants. If you are in one of these fields, GEO is a priority.

Does your service need explaining? If you can produce content that answers “why,” “how” and “which one” questions, you have a chance of being cited. If your product is an immediate need that requires no explanation, visibility on the map is far more decisive.

Is your foundation ready? If you have no website, if your Google Business Profile is half finished or if your site loads very slowly, fix those first. GEO is the upper floor you build on a solid foundation.

Let's make it concrete with three hypothetical examples.

Picture a dental clinic in Kurtköy. Patients ask questions like “implant or bridge?” and “at what age should I take my child to the dentist?” If the clinic writes clear answers to these questions under its own dentist's name, it creates a chance of being both cited and recommended. GEO is a high priority here.

Picture a workshop in Tuzla that manufactures spare parts for industry. Its customers are purchasing specialists and engineers; they research technical specifications, materials and lead times. Writing its product and capability pages in a clear, technical and quotable way puts this workshop ahead. Because search volume is low and the value of a single customer is high, the priority is high again.

Picture a café on the Pendik waterfront. Most of the time the customer decides by looking at the map. Here the first job is a complete business profile, current photos and reviews. The technical side of GEO can wait; the profile and review work already covers the seventh component of GEO.

What are the common myths about GEO?

“GEO is here, so SEO is over.” AI search relies on web content and search indexes. Dropping SEO means dropping the ground GEO stands on.

“I added llms.txt, so GEO is done.” llms.txt is one of seven components, and it is the one whose effect is least proven. By itself it changes nothing.

“You write one kind of content for AI and another for people.” Content that is clearly written, answers the question up front and is well structured serves both people and machines. Trying to separate the two is wasted effort.

“I asked an AI and my name came up, so it's working.” Answers vary by user, location, phrasing and time. Your name appearing in a single attempt, or not appearing, is not a definitive result either way. What is meaningful is repeating the same set of questions at regular intervals.

“If I produce a lot of content, the AI will pick me.” Dozens of near-identical pages do less good than one strong page. The assistant is looking for a passage; one well-written passage is enough.

“If I write hidden instructions on the page, the AI will recommend me.” Trying to give the model commands through invisible text is unethical, and the platforms take measures against attempts of this kind. It can do lasting damage to your brand.

“This is for big brands; it doesn't apply to me.” In local and narrow questions, big brands are often absent. For a question like “a physiotherapist in Kartal who does scoliosis exercises,” your competition is not the national chains but a handful of businesses in the same district.

“You'll see results within a week.” Visibility based on live search can start to move within a few weeks. Getting into the model's memory takes much longer and is not under your control.

What can and can't be measured in GEO?

Measurement is the weakest side of GEO, and knowing that from the start protects you from false expectations. There is no official dashboard covering all platforms where you can say “I rank here for this keyword,” the way you can in classic search.

Some webmaster dashboards have started to offer limited reports on citations in AI answers. These reports are useful, but each covers only its own platform; seeing the whole picture in one place is not possible today.

How do you run a manual test?

Write between ten and fifteen questions your customer might ask, and mix three types.

Informational questions: “Is reformer Pilates good for a herniated disc in the lower back?” Provider questions: “Who should I go to for reformer Pilates in Kartal?” Brand questions: type the name of your business and ask “What kind of place is it, and what services does it offer?”

Ask these questions once a month, in the same order, in at least three different assistants. For each one, note four things: did your name come up, was the information given correct, was your site shown as a source, and who was named instead of you. A simple spreadsheet is enough.

One month's result tells you nothing; a direction shows up over a series of three or four months. If you see wrong information (an old phone number, a branch that has closed, a service you don't offer), finding the source and correcting it is one of the most valuable GEO tasks there is.

Where should a small business start? A 30-day plan

The plan below is designed so that a business owner with no technical background can carry it out by setting aside a few hours a week. For the technical items, you can ask the person who built your site for help.

1. Week 1

   See where you stand

   Write your ten-question test set, ask it in three assistants and record the results. Check whether your site's robots.txt file is blocking AI bots.

2. Week 2

   Make your identity clear

   Rewrite your About and Contact pages in plain, direct sentences. Make your name, address and phone number match exactly across your site, your business profile and your social accounts.

3. Week 3

   Write your first quotable content

   Pick the five questions customers ask most. Add each one, with a question heading and a clear answer of two or three sentences, to your service pages or to a frequently asked questions section.

4. Week 4

   Complete the technical layer and your outside footprint

   Have business, service and question-and-answer structured data added, and publish your llms.txt file. Update your listing in a few trusted directories relevant to your industry and ask your most recent customers for reviews.

At the end of the month, ask the same test set again and compare it with the record from week one. Don't expect a big jump. The purpose of the first month is to get wrong information corrected and the foundation in place.

A checklist to get started:

• ✓Your site's robots.txt file does not block AI bots
• ✓Page content is visible even with JavaScript turned off
• ✓Your About page states the business name, what it does, its service area and who runs it in plain text
• ✓Your name, address and phone number are identical, character for character, on every platform
• ✓Your Google Business Profile is complete; the category, services and opening hours are up to date
• ✓Your five most-asked questions are on the site, each with a question heading and a short, clear answer
• ✓Business, service and question-and-answer structured data is in place and error-free
• ✓Your llms.txt file is live and lists your most important pages
• ✓Your content shows an author name and a last-updated date
• ✓Your ten-question test set is ready and the first results are recorded

We walk through each of these steps, down to what goes in which file, in our guide to getting your brand recommended in AI search. Here we have given you the skeleton of the plan; go to that guide for the implementation detail.

What do you do after the first month?

GEO is not a setup you do once and leave. After the first month, three jobs become routine.

The first is content. Note every new question that comes from customers and add one or two of them to your site each month. The second is your outside footprint; make asking for a review a natural part of every completed job. The third is testing; ask your question set every month and record the result.

When something changes at your business (a new service, a new branch, different opening hours), update the information everywhere on the same day. Old information lingering on the web is the most common problem in GEO, and the easiest to prevent.

What are the most common GEO mistakes?

Blocking bots without realizing it. Security plugins and some hosting settings can block AI bots by default. This is always the first thing to check.

Burying information inside an image. If your opening hours or your list of services appear only in a banner image, a bot may not be able to read them. Every important piece of information should also be on the page as plain text.

Writing generic content. Articles that exist on every site, such as “Why is dental health important?”, do not set you apart. Start from your own practice, your own neighborhood and your own customers' questions.

Leaving inconsistent business information behind. If an old phone number sits in one directory and an old address on another site, the AI may carry the wrong one into its answer. After a move or a change of number, update every listing one by one.

Investing only in your own site. For the goal of being recommended, other people need to talk about you. Getting the five on-site components perfect while neglecting your outside footprint leaves the job half done.

Publishing AI-written content without review. It saves time, but unreviewed text can contain wrong information and reads like everyone else's. Content that has passed under an expert's eye is both more trustworthy and more original.

Deciding on the basis of a single test. Giving up because you asked once and didn't see your name is the same mistake as declaring success because you saw it once. A decision needs regular repetition.

Trusting proposals that promise what can't be measured. A proposal that includes an “AI ranking” or a guaranteed recommendation is selling something that cannot be measured.

GEO glossary: terms you will keep seeing

GEO

Generative Engine Optimization. The work done so that AI assistants understand a brand correctly, cite it as a source and recommend it in their answers.

Generative engine

A system that answers a question with text it writes itself instead of a list of links. ChatGPT, Gemini, Perplexity and Claude belong to this group.

LLM

Large language model. An AI model trained on very large bodies of text that can generate text.

RAG

Retrieval-augmented generation. The model fetches current documents from the web or another source before writing its answer and bases the answer on them.

Entity

A single thing a machine can tell apart from similar things: a business, a person, a place or a concept.

Citation

A page being shown with a link as a source in an AI answer. In local SEO, the same word also describes your business information appearing in directories.

Mention

The name of a business being referred to in an answer or on another site, with or without a link.

Structured data

Labels added to a page's code that tell a machine what the content is. The shared vocabulary is schema.org.

robots.txt

The file in a site's root directory that tells bots which pages they may access.

llms.txt

A plain text file, with the status of a proposal, that contains a short summary of the site prepared for AI and a list of its important pages.

The first step you can take this week

Set aside fifteen minutes today and ask two different AI assistants five questions your customer would ask. Does your name come up? Is what they say about you correct? Who is named instead of you? Write those three answers on a sheet of paper. That is the most honest starting report you can have.

Then look at the first two items on the checklist: crawler access and your About page. For most businesses, these two are where the quickest wins are.

If you would like to look together at how ready your site is for AI search, you can write to us for a free analysis.