AI-driven search is changing how people find information online.
Tools like Google AI Overviews, ChatGPT and Bing Copilot are increasingly answering questions directly, often without users needing to click through to a website. Instead of returning a list of links, these systems generate responses by drawing on multiple sources across the web.
This raises an important question for organisations:
Is your website structured in a way that AI systems can understand, extract and trust?
This is where terms like SEO, AEO (Answer Engine Optimisation) and GEO (Generative Engine Optimisation) start to come into play.
What is SEO for AI search?
SEO for AI search refers to optimising your website so it can be:
- discovered by search engines
- understood by machines
- used as a source in AI-generated answers
This includes systems such as Google AI Overviews, ChatGPT and Bing Copilot. It builds on traditional SEO, but goes further, including how websites are maintained and managed over time.
Instead of focusing only on rankings and clicks, the goal is to ensure your content can be:
- extracted into answers
- cited as a source
- trusted as accurate and relevant
You may also see this referred to as:
- AEO (Answer Engine Optimisation) — structuring content so it can be used in direct answers
- GEO (Generative Engine Optimisation) — optimising content for AI-generated responses
SEO vs AEO vs GEO — what’s the difference?
These are not separate disciplines. They operate as layers:
- SEO → discovery
- AEO → extractability
- GEO → trust and reuse in AI answers
If a page isn’t properly indexed or technically sound, it won’t appear in AI results.
If it isn’t structured clearly, it won’t be used in answers.
If it isn’t credible, it won’t be trusted.
A simple way to think about it
- SEO helps your page get found
- AEO helps your content get extracted
- GEO helps your content get used and trusted in AI answers
What do SEO, AEO and GEO actually mean in practice?
While the terms can sound technical, the difference between them is straightforward when you look at how content is used.
SEO (Search Engine Optimisation) is about helping your website get discovered and ranked in search engines like Google.
For example, if someone searches “website maintenance checklist”, SEO helps your page appear in the results.
AEO (Answer Engine Optimisation) is about structuring your content so it can be used directly in answers.
For example, if your page clearly lists “what website maintenance involves” using headings and bullet points, Google or an AI tool may extract that section and present it as a direct answer.
GEO (Generative Engine Optimisation) goes one step further. It focuses on making your content suitable for use in AI-generated responses.
For example, when someone asks “what does website maintenance involve?” in ChatGPT or Google AI, your content may be summarised, referenced or cited as part of a generated response.
How this shows up in real AI search results
These principles are already visible in AI-driven search.
For example, when searching for terms like “website maintenance Melbourne” or “website maintenance Geelong”, Google’s AI Overview generates a summary using content from pages that clearly define the topic and present information in structured sections or lists.
In these examples, Mainstay appears within the AI-generated response. This reflects how well-structured, clearly written content increases the likelihood of being extracted and used in AI answers. If you like, try Googling “website maintenance Geelong”. It’s likely the content from our relevant maintenance page will referenced.
Google Search: “Website Maintenance Geelong”:
Google Search: “Website Maintenance Melbourne”:
Why SEO still underpins AI search
AI search hasn’t replaced SEO. It has raised the standard for it. AI systems still rely on:
- search engine indexes
- crawlable, structured websites
- established authority signals
If your website isn’t technically sound or properly indexed, it won’t be considered as a source, regardless of how good the content is.
What has changed is what happens next.
AI systems don’t just rank pages. They select, extract and recombine information. This means they favour content that is:
- clearly structured
- easy to interpret
- directly answers questions
- supported by credible signals
In practice, this means that most “AI optimisation” is simply doing SEO properly, with a stronger emphasis on clarity and structure.
If SEO determines whether your content is found, AEO and GEO determine whether it is used.
What has actually changed with AI search?
The shift is subtle but important:
| Traditional search | AI-driven search |
|---|---|
| Rankings | Answer inclusion |
| Clicks | Citations |
| Keywords | Questions |
| Pages | Extractable sections |
It’s no longer just about ranking a page.
It’s about whether your content can be used.
AEO / GEO best-practice checklist
The checklist below outlines the key signals that influence not just visibility, but how well your content can be understood, extracted and trusted by AI systems.
1. Foundational SEO (discovery layer)
These are non-negotiable.
- Ensure your site is crawlable and indexable
- Maintain strong technical SEO health (no errors, broken links, indexing issues)
- Use clear page titles and descriptive URLs
- Optimise for mobile usability
- Maintain fast performance and Core Web Vitals
- Serve your site securely over HTTPS
If these aren’t in place, nothing else matters.
2. Content structure (extractability layer)
This is where AI optimisation really starts to differ.
- Use a clear H1 and structured heading hierarchy
- Include a clear definition near the top of the page
- Break content into logical sections
- Use bullet lists and tables where appropriate
- Add FAQ sections that answer real questions
- Write concise, direct answer blocks under key headings
AI systems favour content they can easily extract and reuse.
3. Machine readability (interpretation layer)
Help machines interpret your content correctly.
- Implement structured data (schema)
- Ensure meta titles and descriptions are present and accurate
- Use descriptive alt text for images
- Maintain clean, well-structured HTML
- Ensure content is eligible for snippets (not blocked by
nosnippetor similar controls) - Optionally include a /llms.txt file (emerging standard)
These signals improve how machines process your site.
4. Authority and entity signals (trust layer)
AI systems don’t just ask “what is this page about?”
They ask “can I trust this source?”
Key signals include:
- Clear organisation identity and expertise
- Visible author or publisher information where relevant
- Strong internal linking and topic clusters
- External authority signals (links, citations)
- Inclusion of evidence, examples or references
- Ongoing content maintenance and updates
Authority and trust matter more in AI search
In traditional search, authority influences rankings.
In AI search, authority influences whether your content is used at all.
When an AI system generates an answer, it is effectively asking:
“Is this a reliable source to include in a response?”
This is where signals often described as experience, expertise, authority and trust become important.
In practical terms, this includes:
- clearly identifying your organisation and expertise
- demonstrating real-world experience in the topic
- maintaining accurate, up-to-date content
- supporting claims with evidence or examples
- building authority through links and recognition
Content that is vague, generic or lacks credibility is far less likely to be selected, even if it ranks.
In AI-driven search, it’s not just about being visible. It’s about being trusted enough to be used.
Common mistakes to avoid
A few patterns are emerging:
- Treating AEO or GEO as separate from SEO
- Writing generic marketing content instead of answering questions
- Publishing dense, unstructured “wall of text” pages
- Ignoring internal linking and topical relationships
- Accidentally blocking snippets or previews
- Over-focusing on emerging tactics like
llms.txtinstead of fundamentals
Most issues are not technical, they’re structural.
How to assess whether your website is AI-ready
Most organisations don’t have visibility into:
- whether their content is extractable
- whether it answers real queries
- whether it can be used in AI-generated responses
This is where a structured audit becomes useful.
A technical review should look at:
- crawlability and indexation
- content structure and extractability
- schema and machine-readable signals
- entity clarity and authority
- how well pages map to real user questions
If you want a structured way to approach this, our guide on how to check the health of a website walks through the process step by step. In practice, organisations may use a formal website health check to identify gaps and prioritise improvements.
Download the AEO / GEO checklist
If you’d like a structured version of this, you can download the full checklist as a PDF and use it as a reference when reviewing your site. The checklist below covers not just visibility, but how well your content can be understood, trusted and reused by AI systems.
Summary
To optimise your website for AI search:
- Ensure your site is crawlable and indexable
- Structure content clearly with headings and summaries
- Provide direct, extractable answers
- Use schema and machine-readable signals
- Strengthen authority and entity clarity
- Maintain and update content over time
AI search hasn’t replaced SEO. It has raised the standard for how content needs to be structured, understood and trusted.
Where to from here
If you want to understand how your website performs across SEO, accessibility, security and AI readiness, a structured technical audit is the most effective place to start.
At Mainstay, we typically begin with a Website Health Check (AQC), which provides a detailed review of platform health, risks and improvement opportunities across your site.
FAQs – SEO, AEO and GEO
SEO for AI search is the process of optimising a website so it can be discovered, understood and used by AI-driven search systems such as Google AI Overviews, ChatGPT and Bing Copilot. It builds on traditional SEO by focusing not only on rankings, but also on how content can be extracted and used in answers.
AEO is the practice of structuring content so it can be used directly in answers. This includes using clear headings, concise explanations, bullet points and FAQ sections so search engines and AI systems can extract and present information accurately.
GEO refers to optimising content so it can be used in AI-generated responses. This involves ensuring content is clear, accurate, well-structured and trustworthy so it can be summarised or cited by AI tools.
Traditional SEO focuses on ranking pages in search results, while AI search focuses on generating answers. Instead of returning a list of links, AI systems extract and combine information from multiple sources, which means content needs to be structured for clarity and reuse.
To appear in AI search results, your website needs to be technically sound, clearly structured and authoritative. This includes ensuring your site is crawlable and indexed, using structured headings and content, providing direct answers to questions, and building credibility through strong content and links.
No. AI search builds on SEO rather than replacing it. Websites still need to be crawlable, indexable and authoritative. The difference is that content also needs to be structured so it can be extracted and used in AI-generated answers.
Content that performs well in AI search is typically clear, structured and directly answers questions. This includes pages with definitions, step-by-step explanations, bullet lists, FAQs and well-organised sections.
No. While files like /llms.txt are emerging as a way to help AI systems understand content, they are not required. Strong technical SEO, clear structure and high-quality content are far more important.
You can assess this by reviewing whether your site is technically sound, whether content is structured and easy to extract, whether it answers real user questions, and whether it demonstrates authority and clarity. A structured audit can help identify gaps.
