What is AI SEO? The complete beginner's guide

AI SEO is the work of making your business easy for AI search tools to find, understand, trust and cite, so you are named in the written answers people now get instead of only a list of links. That is the short version. The rest of this guide explains where the term came from, how tools like Google AI Overviews, ChatGPT, Perplexity, Copilot and Claude choose which websites to use, how AI SEO differs from the SEO you already know, and the first practical steps for a business that wants to be part of the answer.

It is written for business owners and marketers in Australia, the US, the UK, New Zealand and Singapore who have heard the term, know roughly what SEO is, and want a plain-English explanation before they spend time or money on it. The claims about how these tools work are drawn from what Google, Microsoft, OpenAI, Perplexity and Anthropic publish about their own systems, the robots.txt standard, and the academic paper that coined the phrase generative engine optimisation.

What is AI SEO?

Start with what SEO already is. Google's own starter guide describes search engine optimisation as helping search engines understand your content, and helping people find your site and decide whether to visit it. AI SEO keeps those two jobs and adds a third: making sure that when an AI system writes an answer, your business is one of the sources it draws on.

The term is used in two different ways, and it helps to separate them early.

• Optimising for AI search. Making your pages and your brand easy for AI assistants and AI search features to find, read, trust and quote. This is also called generative engine optimisation (GEO) or answer engine optimisation (AEO). It is the main subject of this guide.
• Using AI tools inside SEO work. Using AI to cluster keywords, audit sites, draft outlines and analyse large data sets faster. This is a change in how SEO gets done, not in where visibility comes from. It has its own section further down.

When people ask whether they need AI SEO, they almost always mean the first one. In practice there are three outcomes to aim for:

• A citation. Your page is linked as a source inside the answer.
• A mention. Your brand is named in the answer, with or without a link.
• A recommendation. You are suggested when someone asks who to hire, buy from or compare.

Each of those is built on the same raw material as classic rankings: pages a machine can read, content that answers a real question, and signals from the wider web that you are a safe source to name. That is why our AI SEO services in Australia build on the same technical SEO, content and authority work rather than treating AI search as a separate silo. The work overlaps far more than the names suggest.

GEO, AEO and AI SEO: one idea, several names

If the labels confuse you, you are not alone. Microsoft's own advice on the subject opens with a line that sums it up: "Whether you call it GEO, AIO, or SEO, one thing hasn't changed: visibility is everything." The labels overlap heavily, and the day-to-day work is largely the same.

Generative engine optimisation (GEO) is the most formal of the terms. It was named in a research paper first published on arXiv in November 2023 by a team of researchers including several from Princeton University, and later accepted to the KDD 2024 conference. The paper described generative engines as systems that gather information from several sources and summarise it using large language models, and it framed GEO as a way for content creators to improve their visibility in those generated responses. On the paper's own benchmark, its methods improved visibility by up to 40 percent, and the authors noted that which methods worked best varied by domain. Treat that figure as a research result on a test set, not a promise about any live product.

Answer engine optimisation (AEO) is an older marketing term, generally associated with optimising for featured snippets and voice assistants, where the goal was already a single boxed or spoken answer rather than a list. AI answers are a bigger version of the same problem, so the name carried over.

AI SEO is simply the everyday phrase. It is what business owners type into Google, which is why this guide uses it. If you read GEO or AEO elsewhere, assume they mean the same thing unless the author says otherwise.

How AI search tools find and choose sources

You cannot optimise for something you do not understand, so here is how the major tools describe their own process. The common thread is that one question becomes many searches, and the answer is assembled from short passages taken from a handful of pages.

Google AI Overviews and AI Mode. Google says both features may use a technique it calls query fan-out: issuing multiple related searches across subtopics and data sources to build a single response. While the response is being generated, its models identify supporting pages and show them as links. AI Overviews only appear when Google's systems decide they add something beyond the classic results, so they often do not trigger at all. The two features don't necessarily run on the same models or methods, so the pages each one links to can differ.

ChatGPT search. OpenAI explains that when ChatGPT uses outside search providers it typically rewrites your question into one or more targeted queries, reviews the initial results, and may then send more specific follow-up queries. Responses can include citations, and OpenAI says placement is not guaranteed. It also warns that search results and citations can be incomplete, outdated or incorrect, which is a useful reminder for anyone checking what an AI tool says about their business.

Microsoft Copilot. Microsoft describes a process it calls parsing: assistants like Copilot break a page into smaller, structured pieces, evaluate those pieces for authority and relevance, and assemble the best of them into one answer, often drawing on several sources at once. The important detail for beginners is that selection happens at the passage level. Selection is less about the page as a whole and more about which paragraph, list or question-and-answer pair earns a place in the answer.

Perplexity and Claude. Both companies publish separate crawlers for search and for user requests. Perplexity's search crawler exists to surface and link websites in its results. Anthropic runs a search crawler to improve the relevance and accuracy of Claude's search responses, and a separate user agent that fetches pages when someone asks Claude a question. The details are in the next section, because they determine what you should allow in robots.txt.

Behind each of these tools sit three kinds of automated visitor, and the distinction matters:

• Search crawlers that index pages so they can be cited in answers: Googlebot, OAI-SearchBot, PerplexityBot and Claude-SearchBot.
• Training crawlers that collect content for building future models: GPTBot, ClaudeBot, and the Google-Extended control for Gemini.
• User-triggered fetchers that visit a page because a person asked a question about it right now: ChatGPT-User, Perplexity-User and Claude-User.

The takeaway: your page is competing to supply one clean, self-contained passage to an answer stitched together from several sites. That shapes everything that follows.

AI SEO vs traditional SEO: what changes and what stays the same

Google is direct about this. Its documentation says you can apply the same foundational SEO best practices to AI features as to Google Search overall. Google says a page only qualifies as a supporting link in AI Overviews or AI Mode once it is indexed and can appear in Search with a snippet, and it lists no extra technical requirements beyond that. Microsoft says the same thing from the other side: crawlability, metadata, internal linking and backlinks remain essential, but they are only the starting point.

So what actually changes? Mostly the shape of the question, the shape of the result, and what counts as success.

• Query shape. Traditional search: short keyword queries refined by trial and error. AI search: longer, conversational, multi-part questions. Google notes that in its AI experiences people ask longer and more specific questions, plus follow-ups to dig deeper.
• Result. Traditional search: a ranked list of links. AI search: one written answer with a handful of cited sources.
• Goal. Traditional search: position on the page. AI search: being cited, mentioned or recommended inside the answer.
• Measurement. Traditional search: rankings, impressions, clicks. AI search: citations, share of voice across a set of questions and AI referral traffic, alongside the old metrics.

In other words, AI SEO is not a replacement for SEO. It is SEO with a different scoreboard and a stronger emphasis on the parts of a page a machine can lift cleanly.

Step 1: make sure AI systems can read your site

If crawlers cannot reach a page, it cannot be cited, so this check comes first. This step is technical, but it is mostly a matter of checking settings rather than building anything new.

Meet Google's basic requirements. Google's advice for its AI features is the same as for Search: make sure Googlebot is not blocked, the page returns an HTTP 200 success code, and the page has indexable content. It also lists fundamentals that remain worthwhile: allow crawling in robots.txt and in any CDN or hosting layer, make content findable through internal links, keep important content in text form, and support text with good images and video where relevant.

Understand Google's controls. AI is built into Search, so the robots.txt rules you set for Googlebot are the control for how your site is crawled for Search, including its AI features. If you want to limit what is shown from your pages, Google points to the nosnippet, data-nosnippet, max-snippet and noindex controls, and says that more restrictive settings will limit how your content is featured in its AI experiences. Google also offers a Search generative AI control in Search Console, under Settings. It is set to include your site by default, and switching it to exclude removes your links and content from AI Overviews, AI Mode and Discover's generative AI features without affecting the rest of Search. Google says it is not a ranking signal and does not affect AI training. If you want to be cited, check it is left on include. Google-Extended is a separate robots.txt token that controls whether content Google crawls may be used to train future Gemini models and for grounding in Gemini apps. Google says it does not affect a site's inclusion in Google Search and is not a ranking signal. Blocking it will not pull you out of AI Overviews.

Allow OpenAI's search bot. OpenAI runs separate crawlers and treats each setting independently. OpenAI uses OAI-SearchBot to find sites for ChatGPT search. If you block it, your pages drop out of ChatGPT's search answers, but they may still show up as plain navigational links. GPTBot crawls content that may be used to train OpenAI's models. You can allow OAI-SearchBot and disallow GPTBot in the same robots.txt file. OpenAI recommends allowing OAI-SearchBot and permitting requests from its published IP ranges, and notes it can take about 24 hours after a robots.txt change for its search systems to adjust. ChatGPT-User is a separate agent for user-initiated visits; OpenAI says robots.txt rules may not apply to it and that it is not used to decide what appears in search.

Allow Perplexity's search bot. PerplexityBot is designed to surface and link websites in Perplexity results and is not used to collect content for training foundation models. Perplexity recommends allowing it in robots.txt and permitting its published IP ranges. Perplexity-User fetches a page when a user asks a question, and because the request came from a person it generally ignores robots.txt. If you use a web application firewall, Perplexity says you may need to explicitly allow its bots, matching on both the user agent and its published IP addresses.

Allow Anthropic's search bot. Anthropic runs three: ClaudeBot collects web content that could contribute to model training, Claude-User supports user-initiated requests, and Claude-SearchBot analyses content to improve the relevance and accuracy of Claude's search responses. Anthropic says disabling Claude-SearchBot or Claude-User may reduce your site's visibility in Claude's search results. Blocking ClaudeBot alone signals that your future content should be excluded from training without affecting the other two.

Keep key facts in HTML text. Microsoft advises against relying on PDFs for core information, because they lack the structured signals that HTML headings and metadata provide, and against putting key information only in images, which AI systems can sometimes read but with extra complexity and lower accuracy. It also warns that content hidden in tabs or expandable menus may not be rendered. Google has separately explained how Search indexes and ranks PDF files, and the pitfalls that make a web page the better choice for most business documents. If a fact matters, put it in plain page text.

Remember what robots.txt is. The standard that defines robots.txt, RFC 9309, states plainly that its rules are not a form of access authorisation. It is a request that well-behaved crawlers honour, not a lock. If content must stay private, it needs real access controls.

A sensible default for most businesses is to allow the search crawlers from every major vendor, decide separately whether to allow the training crawlers, and check that your CDN or firewall is not silently blocking any of them.

Step 2: write content AI can quote

Once the crawlers can get in, the question is whether your pages give them anything worth lifting. Google's guidance here is brief: focus on unique, non-commodity content that visitors find helpful and satisfying, and remember that this matters for AI results and classic blue links alike. Microsoft goes into more detail about structure, and its advice is among the most practical any of the engines has published.

Align the title, description and H1. Microsoft says these are the signals AI systems use to interpret a page's purpose and scope. The title should summarise what the page delivers in natural language, the description should explain value rather than stuff keywords, and the H1 should match or closely reflect the title.

Use descriptive headings. Headings mark where one idea ends and another begins. Microsoft compares them to chapter titles that define clear content slices, and suggests replacing a vague heading like Learn More with one that states the question the section answers.

Write question-and-answer pairs. A direct question followed by a clear answer mirrors how people ask AI tools. Microsoft says assistants can often lift these pairs word for word into a response.

Use lists and tables for steps and comparisons. Steps, comparisons and feature sets are easier for an assistant to reuse when they sit in a numbered list or a table rather than a long paragraph. They are especially useful for how-to questions and feature comparisons, though Microsoft cautions against turning every line into a bullet.

Give concise, self-contained answers. One- to two-sentence responses that directly address a question, phrased so they still make sense when pulled out of context. Avoid packing several claims into one sentence.

Be specific. Microsoft advises against vague words like innovative or eco, which mean little without specifics, and recommends anchoring claims in measurable facts. Its own example is the difference between a quiet dishwasher and a 42 decibel dishwasher designed for open-plan kitchens. Only the second one is quotable.

Answer first, then evidence. The pattern that falls out of all of the above is simple. Put the direct answer near the top of the section, then support it with detail. Long introductions and slow build-ups give an AI system nothing clean to quote.

Show who is behind the content. Google describes E-E-A-T as experience, expertise, authoritativeness and trustworthiness, with trust as the most important of the four. It is careful to say that E-E-A-T itself is not a specific ranking factor, but that its systems use a mix of signals to identify content that demonstrates those qualities. Google's own self-check is the Who, How and Why test: is it clear who created the content, how it was produced, and why it exists. Bylines that lead to real author information, clear sourcing and an honest explanation of any automation used all help.

Keep your business details accurate everywhere. An AI answer built from your page is only as accurate as your page. Prices, services, locations and contact details should match across your site, your business profiles and the directories that mention you. Google's AI guidance specifically asks site owners to keep Merchant Center and Business Profile information up to date.

If you want a structured checklist for this step, our free AEO playbook walks through how to shape pages so answer engines can quote them.

Step 3: structured data, images and business listings

Structured data is a standardised, machine-readable way of describing what a page is about, such as the ingredients and cooking time on a recipe page. Google uses it to understand page content and to gather information about the people, books or companies the markup describes, and it can make pages eligible for rich results in Search.

For AI features the rule is restraint. Google's AI search guidance says that if you use structured data, make sure everything in the markup is also visible on the page, and validate it. Its structured data documentation goes further: do not create empty pages just to hold markup, and do not add markup about information that is not visible to users, even if it is accurate. Microsoft describes schema as code that helps search engines and AI systems understand content with confidence, usually added as JSON-LD through your CMS or by a developer.

What schema is not is a shortcut. Google says no specific optimisation is required for AI Overviews or AI Mode. Use it to state plainly who you are, what you sell and what each page covers, and treat it as a way of helping machines read facts you already publish.

Beyond markup, Google points out that people now run multimodal searches, snapping a photo or uploading an image and asking a question about it. Its advice is to support your text with high-quality images and video, and to keep Merchant Center and Google Business Profile information current so that product and local answers about your business are correct.

Step 4: build authority beyond your own website

AI systems do not only judge your page. Microsoft lists backlinks among the fundamentals that remain essential, and says the content pieces it parses are evaluated for authority as well as relevance. Google's helpful-content guidance asks whether a person looking into your site would see it as trustworthy and recognised in its field.

For a beginner, that translates into ordinary, unglamorous work:

• Earned mentions and links from relevant publications, suppliers, partners and industry bodies.
• Reviews on the platforms your customers already use.
• Accurate, consistent listings in directories and business profiles, with the same name, address, phone number and service descriptions everywhere.
• Correcting wrong or outdated facts about your business wherever they appear, because an AI system may read the wrong version first.

None of this is a quantified ranking factor, and no engine publishes a formula. The reasoning is simpler than that: a system assembling an answer from several sources will prefer the ones that other sources already vouch for.

Using AI tools to do SEO (the other meaning of AI SEO)

The second sense of AI SEO is about process. AI tools are genuinely useful for research, outlining, clustering keywords, summarising large data sets and finding patterns in audits. Google's own guidance says generative AI can be particularly useful when researching a topic and for adding structure to original content.

The limits are just as clear. Google warns that churning out large numbers of AI pages that add nothing for readers can breach its scaled content abuse spam policy. It also explains why hallucinations happen: generative models do not retrieve facts, they predict a likely sequence of words from their training data, so outputs may contain inaccuracies. Google says it is critical to manually fact-check all AI-generated content before publishing, and that the review applies to titles, meta descriptions, structured data and image alt text as well as body copy. Its guidance on judging effort puts unreviewed, bulk AI-generated text at the lowest end of the scale, the opposite of what its systems are designed to reward.

OpenAI adds a related caution from the other direction: ChatGPT's search results and citations can be incomplete, outdated or incorrect, and it recommends opening the cited source and checking that it supports the answer. If you use AI tools to research, treat their output as a lead, not a fact.

A workable rule: let AI draft and sort, and let a person decide and verify. Every number, name, claim and recommendation that goes live should have been read by someone who knows the subject.

How to measure AI SEO

Measurement is where most businesses are weakest, partly because the tools are still catching up. In our own audit of 719 B2B companies, 42 percent could see AI traffic in their analytics but could not segment it. Here is what can be measured today.

Google Search Console. Google says clicks from AI Overviews and AI Mode are counted with your normal Search Console traffic, in the Performance report under the Web search type. Search Console also has a separate Generative AI performance report that shows how often your pages appear in AI Overviews and AI Mode, with impressions broken down by page, country, device and date, but it does not show clicks, so you still cannot see which clicks came from AI results. Google has since moved inline links higher in AI Mode and AI Overviews, but that change did not add click reporting to Search Console.

Click quality, not just click count. Google says that when people click through from a results page with an AI Overview, those clicks are higher quality, meaning visitors are more likely to spend more time on the site. It suggests looking at conversions, sign-ups, an engaged audience and information lookups about your business rather than clicks alone. For a service business that means enquiries and booked calls; for a shop it means orders.

AI referrals as their own channel. Google Analytics 4 now groups visits from recognised AI assistants such as ChatGPT, Gemini and Copilot into a default AI Assistant channel (Google's own AI Overviews and AI Mode are excluded and stay in organic search). Check that channel monthly. Visits that arrive without a referrer still land in Direct, and other analytics tools may need a custom channel built on referrer domains such as chatgpt.com and perplexity.ai.

A regular prompt check. Write down the questions a buyer would ask before choosing a business like yours, and ask them in ChatGPT, Gemini, Perplexity, Copilot and Claude on a fixed schedule. Record whether you are cited, mentioned or recommended, and who else is. Over time this gives you a share of voice figure for the questions that matter, which is the closest thing AI search has to a rank tracker. If you would rather see how a baseline and prompt testing are run as a service, AI SEO for US businesses covers the same method for that market.

Server logs. Your logs show which crawlers are visiting and how often. Look for OAI-SearchBot, PerplexityBot, Claude-SearchBot and Googlebot, and verify them against the IP ranges each vendor publishes, since user-agent strings can be faked. A search crawler that never visits is a sign that something in robots.txt, your CDN or your firewall is in the way.

Common AI SEO mistakes and myths

• Myth: AI SEO replaces SEO. Google says the same foundational practices apply to its AI features, and Microsoft says the fundamentals remain essential. Weak SEO holds AI visibility back.
• Myth: you need a special file or markup to appear in AI answers. Google says there are no additional technical requirements beyond being indexed and eligible for a snippet. None of the major engines describes a special AI file as an input to ranking or citation in its published documentation.
• Mistake: blocking the wrong bot. Blocking GPTBot tells OpenAI not to use your content for training; blocking OAI-SearchBot removes you from ChatGPT search answers. Blocking ClaudeBot affects training; blocking Claude-SearchBot may reduce visibility in Claude's search. Blocking Google-Extended affects Gemini training and grounding, not Google Search. Read the vendor's bot page before editing robots.txt.
• Mistake: treating robots.txt as security. The standard says its rules are not access authorisation, and user-triggered fetchers may not follow them at all.
• Mistake: mass-producing AI content. Many pages generated without added value may breach Google's scaled content abuse policy, and unreviewed output can carry hallucinated facts.
• Mistake: burying the answer. Long introductions, vague claims, overloaded sentences and key facts hidden in images, PDFs or collapsed tabs give an assistant nothing clean to lift.
• Mistake: structured data that does not match the page. Google says markup must describe visible content and be validated.
• Mistake: judging success on clicks alone. Google itself points to engagement and conversions, and some AI answers deliver value as a mention rather than a visit.

AI SEO FAQs

Is AI SEO the same as GEO? Largely, yes. GEO, AEO and AI SEO are different labels for the same goal: being found, understood and cited by AI search tools. Microsoft's own guidance treats the labels as interchangeable and says visibility is what matters, and the work underneath is the same SEO foundation plus answer-first content, consistent business details and new measurement.

Can I opt out of AI training but still appear in AI search? Yes, with the major vendors. OpenAI lets you disallow GPTBot while allowing OAI-SearchBot. Anthropic lets you disallow ClaudeBot while allowing Claude-SearchBot and Claude-User. Google's Google-Extended token controls Gemini training and grounding and does not affect inclusion in Google Search.

Do I need special technical changes to appear in AI answers? Not for Google, which says a page only needs to be indexed and eligible for a snippet. For the other engines the main requirement is that their search crawlers are allowed through robots.txt, your CDN and your firewall.

How long does it take? No engine promises a timeline, and this guide will not either. Google says a recrawl can take days or months, depending on how often it thinks a page needs refreshing, and its starter guide suggests waiting a few weeks before judging whether a change helped. OpenAI says its search systems take about 24 hours to reflect a robots.txt update. Citations themselves depend on each tool's own selection and cannot be guaranteed.

Does structured data help with AI search? It helps machines read facts you already publish and can make pages eligible for rich results. It is not required for Google's AI features, and no engine says it causes citations on its own. If you use it, keep it accurate, visible and validated.

Can I use AI to write my content? Yes, within Google's rules. Use it for research and structure, review every output for accuracy, add real experience and original information, and avoid generating pages at scale without value. Disclose automation where a reader would reasonably expect to know.

Do I need an agency? Not to start. The crawl check, the buyer-question list and answer-first rewrites of your key pages can all be done in-house with the guidance above. Where outside help earns its fee is scale, authority work and measurement across several engines. The GEO Playbook covers the fuller method if you want to go deeper before deciding.

What should I do first? The five steps below, in order.

Where to start this week

1. Run a crawl check. Open your robots.txt and confirm Googlebot, OAI-SearchBot, PerplexityBot and Claude-SearchBot are allowed. Check your CDN and firewall rules. Confirm key pages return HTTP 200 and are indexed in Search Console, and confirm the Search generative AI setting in Search Console is on include.
2. List your buyers' questions. Write down the questions people ask before they choose a business like yours, in the long, conversational form they would type into an assistant.
3. Rewrite your most important pages answer-first. Put a one- or two-sentence answer at the top of each key section, use descriptive headings, add a short FAQ, and move any critical facts out of images and PDFs into text.
4. Check your facts everywhere. Make sure business details, services and prices match across your site, Business Profile, directories and any structured data.
5. Set up measurement. Open the Generative AI performance report in Search Console to see which pages appear in AI Overviews and AI Mode, check the AI Assistant channel in GA4, or create an AI referral channel if your analytics tool lacks one, run your first prompt check across the major assistants, and record the baseline.

None of these steps require new technology, and most of them also support your classic search results. That is the quiet truth about AI SEO: it rewards the parts of good SEO that make a page easy to understand and safe to quote. Do those well and you are already most of the way there.