AEO and GEO Explained: How to Rank in Google AI Overviews, ChatGPT and Perplexity

AEO (answer engine optimisation) and GEO (generative engine optimisation) are the work of making your business the source that AI tools quote when people ask questions. To appear in Google AI Overviews, ChatGPT and Perplexity, you need pages that crawlers can reach, content that answers questions directly with specifics, original information worth citing, and a brand that other sites mention consistently.

None of that replaces SEO. It builds on it. The businesses being cited in AI answers today are mostly the ones that were already doing search well, with a sharper focus on clear answers and proof. This guide explains how each answer engine picks its sources, what you can control, what is hype, and a 90-day plan to get started.

What are AEO and GEO?

AEO is about being the direct answer to a question; GEO is about being included and cited when an AI writes a longer, synthesised response. In practice the two overlap so much that most businesses should treat them as one programme.

• Answer engine optimisation grew out of featured snippets and voice assistants. The goal is a page that answers a specific question so cleanly that a search engine lifts it as the answer. Our beginner's guide to answer engine optimisation covers the basics in more depth.
• Generative engine optimisation is the newer term for appearing inside AI-generated answers from tools like ChatGPT, Perplexity, Gemini and Google AI Mode, which combine several sources into one response. We unpack the term in what GEO is and how it differs from SEO.

You will also see "AI SEO", "LLM optimisation" and "AI search visibility" used for the same idea. The labels matter less than the outcome: when a potential customer asks an AI tool about your service, your business is named, linked or quoted.

How are AEO, GEO and SEO different?

SEO earns a ranking position; AEO earns the answer box; GEO earns a mention or citation inside an AI-written response. The foundations are shared, but the unit of success and how you measure it differ.

If your SEO is weak, start there. Google has said its AI features draw on the same core ranking systems as regular search, and other answer engines rely heavily on search indexes too. A site that is slow, thin or hard to crawl will struggle everywhere.

How do Google AI Overviews and AI Mode choose sources?

They draw on pages already in Google's index that are eligible to appear with a snippet, then pick the ones that best support each part of the answer. Google's guidance in Search Central is that there are no extra technical requirements beyond normal search eligibility.

Two Google features matter here:

• AI Overviews appear at the top of regular results for some queries, with a short AI-written summary and links to supporting pages.
• AI Mode is a separate, conversational search experience powered by Gemini. Google describes a "query fan-out" technique, where a single question is broken into many related sub-questions that are searched at once, and the results are combined into one answer.

What this means for you:

1. Indexing and snippet eligibility are the gate. If a page is blocked by robots.txt, set to noindex, or restricted with nosnippet, it cannot be used as a supporting link.
2. Sub-questions matter. Because of query fan-out, a page that answers the specific follow-up questions around a topic (cost, timeline, alternatives, risks) has more chances to be pulled in than one that only targets the headline keyword.
3. Quality systems still apply. Google's helpful content and spam policies apply to AI features too. Our explainer on how Google's helpful content updates changed SEO for small businesses explains what that rewards.

In Search Console, Google includes clicks and impressions from AI Overviews and AI Mode within the regular web search performance data, rather than reporting them separately.

How do ChatGPT, Perplexity and other assistants find sources?

When they search the live web, they behave like a search engine with a writer attached: they query an index, read a handful of pages, and cite the ones they use. When they answer from memory, they rely on what was in their training data.

That distinction is important:

• Answers from training data reflect how often and how consistently your brand appeared across the web before the model's cut-off date. You cannot edit this directly; you influence it slowly by being mentioned in credible places.
• Answers with live search are where most businesses can make progress quickly, because they depend on pages being crawlable, indexed and clearly written today.

If a crawler cannot reach your pages, that engine cannot cite them, however good they are. That is why technical access is the first job in any AEO or GEO programme.

Which AI crawlers should you allow?

Allow the search and retrieval crawlers if you want to be cited; decide separately whether to allow training crawlers. They are different bots with different purposes.

The main split:

• Search and retrieval bots (Googlebot, Bingbot, OAI-SearchBot, PerplexityBot, Claude-SearchBot) fetch pages so they can be shown and cited in answers. Blocking these removes you from those answers.
• Training bots (GPTBot for OpenAI, ClaudeBot for Anthropic) collect content to train future models. Allowing them may help your brand become part of what models "know"; blocking them keeps your content out of training.
• Google-Extended is a control token, not a separate crawler. It governs whether Google can use your content for its Gemini models outside Search. Google states it does not affect your inclusion or ranking in Search, including AI Overviews.

For most service businesses whose content is marketing material, we recommend allowing all of them. Publishers with paid content have more reason to restrict training bots. Whatever you choose, check your robots.txt, your CDN or firewall settings, and any bot-protection service, because these sometimes block AI crawlers without anyone noticing.

Speed and rendering matter too. Pages that rely on heavy JavaScript to show their main text can be harder for some crawlers to read. Server-rendered HTML with the answer in the page source is the safest approach. Our plain-language guide to Core Web Vitals covers the performance side.

How should you write content that AI engines quote?

Lead with the answer, then support it with specifics a reader could act on. AI systems tend to lift self-contained passages, so every section should make sense on its own.

The patterns that work consistently:

• Answer-first openings. The first 40–60 words of a page should answer the main question in plain language.
• Question-style headings. Write H2s the way people ask: "How much does a website cost in Australia?" not "Pricing considerations".
• One idea per section, opening with a one or two sentence direct answer, then the detail.
• Concrete numbers with context. Ranges, timelines, thresholds and named options, always labelled honestly as estimates where they are.
• Tables for comparisons. Costs, options and pros and cons laid out in rows are easy for both readers and machines to parse.
• Definitions in one sentence. "A CRM is software that stores every customer interaction in one place" is more quotable than a paragraph that circles the idea.

Here is the difference in practice. A vague paragraph:

Website costs can vary a lot depending on many factors, and it's important to consider your unique needs before making a decision.

An answerable paragraph:

A small business website in India typically costs ₹15,000 to ₹3,00,000. The low end buys a template site with five pages; the high end buys custom design, a CMS and SEO setup. Most service businesses land in the middle.

The second version gives an engine something specific to cite and gives a reader something to act on. Our on-page SEO checklist and our guide to writing service pages that rank and convert apply these principles page by page.

Why does original data matter so much?

Because AI engines need sources for facts, and if you are the only place a fact exists, you become the source. Rewritten common knowledge gives them no reason to cite you over anyone else.

Original data does not need to be a large study. It can be what you see in your own work. For example, GRWW publishes anonymised results from the Meta ad accounts we manage: across 9 featured accounts, 6,600 enquiries, 1.46 million combined reach and 2.47 million impressions, using Meta's default attribution of 7-day click and 1-day view. Within that, five wedding photography accounts generated 1,130 enquiries at an average of ₹58.55 each.

Numbers like these are specific, attributable and not available anywhere else, which is exactly what an answer engine looks for when someone asks "what does a lead cost for a wedding photographer in India?"

Sources of original data most businesses already have:

• Average project costs and timelines from your own jobs, anonymised.
• Response times, conversion rates or turnaround times you can measure.
• Before-and-after results, such as our reduction of portfolio image weight on grww.tech from 1.66 MB to 456 KB by switching to WebP.
• Patterns from customer questions: the ten things people ask most before buying.

Be honest and specific about method. State the time period, the sample and how something was measured. That makes the data more credible to readers and more citable for machines.

How do you build brand and entity signals?

Make it easy for search engines and AI models to understand exactly who you are, what you do and where, and make sure other sites say the same thing. An "entity" is simply a distinct thing, such as your business, that a search engine can recognise and connect facts to.

Practical steps:

1. A clear About page stating what you do, who for, where you operate and who runs the business.
2. Consistent business details (name, address, phone, service area) across your website, Google Business Profile, directories and social profiles. Our guide to setting up Google Business Profile for a service-area business walks through the profile side.
3. Organization or LocalBusiness structured data on your site, matching the visible information.
4. Reviews on the platforms your customers use. They are a public, third-party signal of what you do and how well. See how to get more Google reviews.
5. Mentions on credible third-party sites: industry associations, local press, partner pages, podcasts, comparison articles and forums where your customers ask questions.
6. Named authors with real experience on your articles. Our explainer on E-E-A-T for new websites explains why experience and trust signals matter.

Unlinked brand mentions still count for AI visibility. Language models learn associations from text, so being described accurately as "a website and software agency in India" across several independent sites helps them connect your name to that category.

Which structured data helps with AI search?

Structured data helps machines understand your pages, but it is not a shortcut to citations. Use it to describe what is genuinely on the page.

The types most businesses should consider:

• Organization for your brand: name, logo, contact details, social profiles.
• LocalBusiness (or a more specific subtype) if you serve customers in particular places.
• Article for blog posts, with author and publication dates.
• Product or Service details where appropriate.
• FAQPage for genuine FAQ sections. Google now shows FAQ rich results only for a limited set of authoritative government and health sites, but the markup still describes your content clearly.

Make sure the markup matches what visitors can see. Structured data that describes content not on the page conflicts with Google's guidelines.

What should you avoid?

Avoid anything that produces volume without value, and anything that tries to trick a machine rather than help a reader. These tactics either fail or create risk.

• Scaled templated pages. Google's spam policies prohibit scaled content abuse: mass-producing pages mainly to rank. We took our own medicine here: GRWW noindexed 167 templated city pages to remove that risk, and fixed canonical tags that pointed to an old domain.
• Hidden text aimed at AI. Instructions hidden in white text or HTML comments, intended to steer AI answers, are manipulative and can be treated as spam.
• Fake reviews or astroturfed forum posts. Platforms remove them, and they damage trust when discovered.
• Thin AI-generated content. Using AI to help write is fine; publishing unedited, unoriginal text at scale is not.
• Chasing unproven standards. The proposed llms.txt file is cheap to add, but no major AI search engine has publicly confirmed relying on it. Do not prioritise it over the basics.
• Promises of guaranteed AI rankings. AI answers vary by user, wording and time. Nobody can guarantee a citation.

How do you measure AI search visibility?

Combine three sources: search data, referral traffic and regular prompt testing. No single tool gives the full picture yet.

For the prompt panel, keep the same list of questions each month, run them in a logged-out or clean session where possible, and record whether you are mentioned, linked or absent. Expect variation between runs; look for trends over several months.

Add a "How did you hear about us?" field with an AI tools option to your enquiry form. Our guide to tracking whether your website is getting you leads covers the rest of the measurement setup.

What does a 90-day AEO and GEO plan look like?

Fix access first, then rewrite your most important pages, then build proof and mentions. This order gives the fastest results for most businesses.

Treat this as a continuing programme rather than a project with an end date. AI tools and their sources change, and the businesses that keep publishing useful, specific content tend to hold their visibility.

Does AEO and GEO work differently by type of business?

The principles are the same, but the priorities shift. Spend effort where your customers actually ask questions.

• Local service businesses should focus on Google Business Profile, reviews and location-specific service pages. Our complete local SEO guide is the starting point.
• B2B and professional services benefit most from detailed pricing explainers, comparisons and original data, because buyers research heavily before contacting anyone.
• E-commerce needs accurate product data, clear specifications and reviews, since shopping answers draw heavily on structured product information.
• New businesses with little history should lean on original insights and third-party mentions to build recognition quickly.

For the wider SEO foundation all of this rests on, read the definitive small business SEO playbook, and for a practical walkthrough of getting cited, see how to get your business cited in AI Overviews and ChatGPT.

Frequently asked questions

Is AEO or GEO replacing SEO?

No. Both depend on the same foundations: crawlable pages, helpful content, authority and trust. Think of AEO and GEO as SEO adapted for answers rather than lists of links, with extra weight on clarity, original data and brand mentions.

How long does it take to appear in AI answers?

Pages that are already indexed and well written can appear in live-search answers within weeks of being improved. Being recommended from a model's memory takes much longer, because it depends on mentions accumulating across the web and on future model updates.

Do I need to block or allow GPTBot?

GPTBot collects content for training OpenAI's models, while OAI-SearchBot fetches pages for ChatGPT search. Allow OAI-SearchBot if you want to be cited in ChatGPT search. Allowing GPTBot is a separate choice; for most marketing sites the benefit of being better known outweighs the concern.

Can a small business compete with big brands in AI answers?

Often, yes, especially for specific or local questions. AI engines look for the best answer to each sub-question, and a small business with a precise, honest pricing page or original data can be cited ahead of larger sites with generic content.

Does schema markup guarantee an AI citation?

No. Structured data helps machines understand your pages, but citations depend on whether your content is the most useful and trustworthy answer. Use schema accurately as part of good foundations, not as a shortcut.

How do I know if ChatGPT is sending me traffic?

Check your analytics for referral visits from chatgpt.com. ChatGPT often adds a source tag to links it shows, which makes the visits easier to spot. Combine that with a monthly prompt test to see whether you are being mentioned even when people do not click.

Where to start

If you want your business to show up when customers ask AI tools about your service, begin with an honest audit of access, content and proof. GRWW has shipped more than 170 websites and applies these principles to our own site first. Get a fixed-price quote for an AEO and GEO audit, or see the services we offer.