GEO and AEO: How to Show Up in ChatGPT and AI Overviews

Today, a customer who asks ChatGPT "איזה רואה חשבון באזור השרון מתמחה בעצמאים" (which accountant in the Sharon region specializes in freelancers), or who gets an AI Overview at the top of Google's results, receives a single ready-made answer with a few sources beside it. GEO and AEO are the names for the work that raises the odds that your business will be one of those sources. The short answer: there is no shortcut here. Answer engines rely on the same foundations as organic SEO: a website that is crawled and ranks well, content that answers questions directly, a clear brand entity and authority built outside the website. In this guide, we break down how each engine chooses sources, the difference between AEO and GEO, what to change on your website and in your content, and how to measure whether it's working.

From search engines to answer engines: what has really changed

For two decades, search looked the same: you typed a few words, got 10 links and chose where to click. Today, some questions end inside the AI interface itself. The user writes a full question, sometimes with conditions like "שפתוח בשישי" (open on Friday) or "שמתאים לעסק קטן" (suited to a small business), and gets a summarized answer. We're moving from a world of search engines to one where answer engines and generative engines operate alongside them.

What this means for business: the goal used to be to rank high on the list. Today there's another goal: to be the source the engine chooses to cite inside the answer. This doesn't replace SEO; it adds a layer on top of it. Google itself writes in its official guide to AI features in Search that there are no additional requirements to appear in AI Overviews or AI Mode: the page needs to be indexed and eligible to be shown with a snippet, exactly as in regular search.

Do people still click through to websites?

The concern is understandable: if the answer is already on the screen, why click? In practice the picture is more complex. Perplexity and ChatGPT search display prominent source links, and Google shows supporting links inside the overview. Someone who only wants a general definition won't click through, it's true, but someone who is about to buy, book or compare providers will click the source that looks most authoritative to them. There are fewer of these clicks, but they're usually higher quality. That's why it matters to be inside the answer, not just below it.

The question is no longer just "Where do I rank on Google?" but "Does AI know my business, trust it and cite it when someone asks a question in my field?"

What is AEO, and what is GEO?

The two terms partly overlap, but it's worth understanding the difference, because they require different work.

AEO: answer engine optimization

AEO (Answer Engine Optimization) is about turning content into a direct, clear answer that an engine can pull out and display. Google's AI Overviews, "People also ask" boxes and voice assistants are all answer engines. Good AEO content answers one question, in one paragraph, with no preamble.

GEO: generative engine optimization

GEO (Generative Engine Optimization) is broader and deals with engines that compose new text, such as ChatGPT, Gemini, Perplexity and Copilot. Here the model assembles an answer from several sources, and the goal is to be one of them. GEO requires a consistent presence across the web, not just one well-written page: mentions, links, reviews and consistent information about the business everywhere.

In practice, the right strategy combines both: content that gives clear answers, together with authority spread across the web that makes the models recognize you as a reliable source.

How do AI engines choose sources?

Each engine has its own nuances, but the broad principles are similar.

Google's AI Overviews and AI Mode: rely on Google's index. According to Google, they may run several related searches in parallel on subtopics of the question (query fan-out) and display a wider range of supporting links. Ranking well for those subquestions raises the chance of being included.
Perplexity: retrieves information from the web in real time and cites sources openly. Here, precise relevance to the question, freshness and crawlability are critical.
ChatGPT with search: combines knowledge from training with live retrieval. OpenAI separates the crawler that feeds search (OAI-SearchBot) from the crawler that collects data for training (GPTBot). Repeated mentions of the brand across the web increase the chance that the model knows you even without an active search.
Gemini: benefits from its closeness to Google's ecosystem, including the Google Business Profile and local data.
Microsoft Copilot: relies on Bing's index, so a good presence on Bing, and not only on Google, is becoming relevant again.

There is also a fundamental difference in how they read. Language models don't look only for keyword matches. They represent text by meaning and assess the semantic closeness between the question and a passage on the page. A passage that answers the question precisely, even if it doesn't repeat its wording, can beat a passage that crams the keyword in three times. What all the engines have in common: they cite sources that look authoritative, relevant, up to date and easy to parse.

Entities and E-E-A-T: why AI needs to know who you are

AI engines think in terms of entities: businesses, people, brands and concepts, and the relationships between them. For a model to cite you, it first needs to identify the business as a distinct entity and understand what it specializes in.

This is where the E-E-A-T principle comes in: experience, expertise, authoritativeness and trustworthiness. The stronger these signals, the greater the chance an engine will choose you as a source. We covered this in depth in our guide to E-E-A-T and building authority. In practice, building a strong entity includes:

A uniform brand name and identical business details across all your assets: the website, your Google Business Profile, social media and directories.
A real About page: who is behind the business, experience, areas of expertise and clear contact details.
An author name and an update date on every professional article.
Mentions of the brand on other websites, even without a link, which strengthen your identification as a real business.
Organization schema that connects the website to the business's official profiles.

A website machines understand: the technical foundation for the AI era

If an engine can't access the content or understand its structure, it can't cite it. This is where how the website itself is built directly affects visibility.

Semantic HTML and content that doesn't depend on JavaScript

Tags such as article, section and time, and h2 and h3 headings in a logical order, tell the crawler what role each part of the page plays. A page built entirely from generic div tags forces the machine to guess. Just as important: the core text should already be in the HTML the server sends. If the content appears only after heavy scripts run in the browser, some crawlers will miss it, and in some cases they will see an almost empty page.

Structured data (Schema) that matches the text

Structured data in JSON-LD format translates the page into unambiguous language: this is an article, this is the author, this is the update date, this is the business, these are the business hours. The most useful types for most businesses are Article for content, Organization for the identity of the business, LocalBusiness for businesses with a local audience and FAQPage for question pages. Two important notes: Google states explicitly that no special schema is required to appear in AI Overviews, and that structured data must match the visible text on the page. In addition, since 2023, Google has all but stopped showing the FAQ rich result for business websites. In other words, schema amplifies understanding; it isn't a ticket in.

Speed and crawlability

A fast page with a clean structure is crawled and read more easily, and it is also a page visitors stay on. We cover the metrics and the order of work in our guide to site speed and Core Web Vitals.

robots.txt: an informed decision about AI bots

It's worth checking what your robots.txt file actually allows. OpenAI explains in its official documentation that a site that blocks OAI-SearchBot won't be shown in ChatGPT's search answers, while blocking GPTBot only signals that the content shouldn't be used to train models. With Google, appearing in AI Overviews is controlled by Googlebot, and the Google-Extended token limits the use of content for training and for grounding answers in other Google systems. Blocking should be a deliberate decision, not a default someone copied from another website.

llms.txt: worth adding, but without inflated expectations

llms.txt is a proposed standard: a text file at the root of the website that gives language models a concise map of the important pages. It isn't a requirement of any engine, and Google writes that no special AI text files are needed to appear in its features. The file costs little, so there's no reason not to add it, but it doesn't replace any of the foundations above.

When we build business websites, the schema is written in code for every page type and the heading structure is checked before launch, so the website is ready for both visitors and crawlers from day one. For the full list of prelaunch checks, see our checklist for an SEO-ready website.

How to write content that answer engines cite

A generative engine cites content that is easy for it to pull out and integrate. Convoluted text, or copy packed with marketing slogans, simply doesn't get picked. These are the principles that work:

Question in the heading, answer in the first paragraph

Phrase the section heading as a question customers really ask, and answer it right away in the first paragraph, in about 40 to 60 words, before any elaboration. This is the easiest structure to extract: one question, one answer, then the details.

Simple sentences, definitions and numbers

A machine summarizes clear sentences better than metaphors. Define terms explicitly, use lists and tables, and give exact numbers when you have them: a price, a duration, a range. An original data point that doesn't exist anywhere else makes you a source worth citing. When you're not certain, give the standard range and don't make promises.

Sources and references

A link to an official source, such as Google's documentation or a relevant regulation, shows that your claim has been checked. Engines that cross-check information across several sources tend to place more trust in text that's consistent with authoritative sources.

Real freshness

For questions whose answer changes, such as prices, laws or tools, engines with live retrieval tend to prefer an up-to-date source. Update the content itself and the update date together. Changing only the date adds no information and helps no one.

Writing for people, a skeleton for machines

That doesn't mean the website has to be dry. The human reader still decides whether to get in touch, so the text has to be interesting and persuasive. The goal is a clear skeleton of headings, answers and lists, with content that's enjoyable to read sitting on top of it.

Voice search and chatbot questions

When people type, they write "אינסטלטור תל אביב" (plumber Tel Aviv). When they speak, they ask "איזה אינסטלטור בתל אביב פתוח עכשיו" (which plumber in Tel Aviv is open now). Voice queries and questions to chatbots are long and phrased as full sentences, so a real FAQ block on every service page covers them. To find out which questions customers actually ask, start with keyword research that maps the keywords and the questions around your service. We go deeper into this in our article on keyword research in the era of AI search.

Brand mentions and authority links: the fuel behind AI visibility

A language model doesn't believe a single page that praises itself. It builds a perception of authority from an accumulation of signals across the web: how many sources mention you, link to you and talk about you in the right professional context. These are exactly the signals Google has been learning from for 20 years, so building authority serves both classic search and answer engines.

There are several ways to build this layer: content worth citing, partnerships in your field, press articles and media mentions, and also buying backlinks in a controlled way. Each of our links is placed on a niche site built specifically for the client's field, with a DR/DA of 40 to 90, an original article, a dofollow link, a report for every link and a free replacement if a link drops. A single backlink costs ₪89 + VAT, and in larger packs the price per link goes down. For the difference between a link that strengthens you and one that puts you at risk, read our link building strategy guide, and for how these signals add up to rankings, read our guide to organic rankings on Google.

Google Business Profile and local visibility in AI engines

Businesses with a local audience have an asset that is especially important in this era: the Google Business Profile. When people ask Gemini, Google's AI Overviews or a voice assistant for "מספרה קרובה אליי" (a hair salon near me), the engine relies on Google's local business database. Google itself recommends, in its AI guide, making sure your Business Profile details are up to date. Wrong business hours, an inaccurate category or an address that differs from the one on your website weaken every engine's trust.

A complete profile, recent reviews and authority signals that point to it increase the chance of appearing both on the map and in the answers based on it. That's the domain of Google Business Profile SEO, and we lay out every stage of the work on the profile, the website and the reviews in our guide to local SEO.

Why organic SEO remains the foundation of AI visibility

If there's one message to take from this guide, it's this: optimizing for AI engines isn't a field separate from SEO. It's built on it. Almost every signal that affects AI visibility also affects regular rankings:

Google's AI Overviews draw from the index, so a page that doesn't rank for the subquestions of the topic will hardly ever be chosen.
Links and mentions strengthen both rankings and how the models identify your entity.
Deep, clear, structured content serves both the visitor and the engine.
Structured data, speed and crawlability are long-standing fundamentals that have gained renewed importance.

Anyone trying to get into AI engines without an organic foundation is building on sand. The right approach is a foundation of content and authority, with the AEO and GEO layer on top of it. For a full look at the fundamentals, the complete guide to organic SEO is a good starting point.

How to measure visibility in AI engines

There is no single tool yet that shows the whole picture, but three sources give a reasonable one:

Search Console: according to Google, impressions and clicks from AI Overviews and AI Mode are counted in the Performance report, under the Web search type. They have no separate filter, so it's worth tracking the ratio between impressions and clicks on the pages that answer questions.
Google Analytics: visits from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com show up as referral traffic. The numbers are usually small, but their trend says a lot.
A regular manual check: a list of 15 to 20 questions customers ask, which you run once a month in ChatGPT, Gemini, Perplexity and Google. Note whether your business is mentioned, which page is cited and which competitors show up instead of you.

This log quickly shows which content works, and where you are missing a page that answers a question your competitors already answer.

A seven-step action plan

Establish a clear entity: a consistent brand name, a real About page and identical details across all your assets.
Make sure the website can be crawled: text in the HTML, a valid heading structure, good speed and a robots.txt that doesn't block anyone you want to cite you.
Add structured data: Organization, Article and LocalBusiness as needed, always matching the visible text.
Write content that answers directly: a question in the heading, the answer in the first paragraph, definitions, numbers and sources.
Build outside authority: links and mentions from websites relevant to your field.
Strengthen your Google Business Profile: especially if you have a local audience.
Measure and refine: Search Console, referrals from AI tools and a monthly check of a fixed set of questions.

This is ongoing work, so many businesses prefer to put it in the hands of one provider. In our monthly organic SEO packages, priced at ₪1,790, ₪2,990, ₪4,490 or ₪5,990 a month + VAT, the work includes links from websites with a DR/DA of 50 to 90 and optimization work on the website itself. From the Authority Engine package up, the work also adds a Q&A structure and schema on the service pages, along with Google Business Profile SEO. All the numbers are on our SEO pricing page.

Frequently asked questions

What's the difference between AEO and GEO?

AEO, answer engine optimization, is about turning content into a direct answer that can be pulled out and displayed, for example in Google's AI Overviews or by a voice assistant. GEO, generative engine optimization, is broader: it deals with engines such as ChatGPT and Perplexity that compose an answer from several sources, and it requires an authoritative, consistent presence across the web. In practice, you work on both together.

Do I need to do anything special to appear in Google's AI Overviews?

According to Google, no. There are no additional technical requirements, no special file and no dedicated schema. The page needs to be indexed and eligible to be shown with a snippet, as in regular search. What does make a difference is everything good SEO includes: helpful content that answers the question, a clear structure, authority and up-to-date business details.

Can anyone promise that my business will be cited by ChatGPT or Google?

No. No one controls what the engines answer, just as no one can promise first place on Google. The engines are updated all the time and weigh many signals. What you can do is systematically build the factors that raise the chance of being included: a clear entity, content that answers directly, structured data and outside authority.

How long does it take to start showing up in AI answers?

It depends on your starting point, the competition in your field and the scope of the work. A business with an existing organic foundation may see mentions sooner, because the engines already know its pages. A new business usually needs several months of building content and authority before the engines start recognizing it as a source. It's a cumulative process, not a switch.

Do schema and structured data affect AI visibility?

They help machines understand the page quickly and with certainty: who the business is, who wrote the page, when it was updated and exactly what is offered. However, Google makes it clear that no special schema is required for AI Overviews, and that structured data must match the visible text. Schema amplifies good content; it doesn't replace it.

Does my website need an llms.txt file?

No. llms.txt is a proposed standard, not a requirement of any engine, and Google writes that no special AI text files are needed to appear in its features. The file is cheap to add and may help tools that read it, but it doesn't replace an accessible website, good content and authority.

Should I block AI bots in my robots.txt file?

It's a business decision, and one worth making deliberately. Blocking the crawler that feeds ChatGPT's search will take the website out of the answers there, while blocking only the training crawler doesn't affect whether you appear in search results. For most businesses that want customers, it makes sense to allow the search crawlers and decide separately about training.

Do people still visit websites when AI answers for them?

Less than before, but the clicks that remain are higher quality. Someone looking for a general definition will settle for the answer, but someone who is about to buy, book or compare providers tends to click the source that was presented as authoritative. So the goal is to be the source that is cited, not just a result below the overview.

What to do next

Start with a snapshot of where you stand: is the website crawled properly, does it give direct answers to your customers' questions, and is the business mentioned outside the website? A free SEO audit answers the technical part of the first question: on the page you enter, it checks indexing, robots.txt, the sitemap and structured data, and shows what to fix. If you'd like us to build the foundation and the AI layer together, you can see how our organic SEO works, or message us on WhatsApp at 050-741-8449.

How to show up in ChatGPT, Gemini and Google answers: the guide to GEO and AEO