How to Optimise Content for AI Search Features (New Google Guide)

Google’s relationship with AI has moved well past the experimental stage. With AI Overviews rolling out broadly and AI Mode becoming a core part of how Google delivers search results, the question every website owner is now asking is the same: how do I make sure my content shows up in these AI-generated responses?

Google has published an official answer to that question in their new guide, “Optimizing your website for generative AI features on Google Search.” Rather than treating AI search as a separate discipline requiring entirely new tactics, Google’s guidance is clear and — perhaps surprisingly — reassuring for anyone already doing good SEO. This post breaks down exactly what the guide says, what it means for your content strategy, and where you should focus your efforts in 2026.

First: Is SEO Still Relevant for AI Search?

Yes — and Google says so explicitly.

Google’s generative AI features on Google Search are rooted in their core Search ranking and quality systems. These features rely on AI techniques to highlight content from the Search index, including Retrieval-Augmented Generation (RAG), a technique used to improve the quality, accuracy, and freshness of AI responses by relying on core Search ranking systems to retrieve relevant, up-to-date web pages from the Search index.

In plain terms: if your pages rank well in traditional search, they’re the same pages that feed into AI Overviews and AI Mode. There is no separate AI algorithm for the game. The foundation is identical.

You may have seen terms like AEO (Answer Engine Optimisation) or GEO (Generative Engine Optimisation) circulating across digital marketing discussions. We’ve explored both in our posts on AEO and GEO explained and how to optimise for AEO and GEO. Google’s official stance is that, from their perspective, these are simply SEO — optimising for the search experience is optimising for Search, full stop.

What Google’s Guide Actually Says?

1. Create Valuable, Non-Commodity Content

This is the single most important factor Google identifies for AI search visibility, and it deserves serious attention.

Google’s AI systems take a look at a variety of sources, so it can be helpful to have a unique viewpoint that stands out. A first-hand review provides a unique perspective based on personal experience, whereas a summary of existing content simply restates information already available elsewhere.

The operative word here is “non-commodity.” Commodity content — something like “7 Tips for First-Time Homebuyers” — is often based on common knowledge, which could originate from anyone, and typically adds little unique insight for readers. In contrast, non-commodity content provides unique expert or experienced takes that go beyond common knowledge and the ordinary.

This has direct implications for how you approach content strategy. Generic listicles and thin overviews that simply repackage what’s already on the internet are precisely what AI systems are trained to deprioritise. The content that gets cited in AI responses is content with genuine depth, first-hand experience, or a distinct perspective.

For businesses, this means leaning into what you actually know. If you’re a Melbourne-based SEO agency, your content about SEO strategy for Melbourne businesses should reflect real experience working in the local market — not generic advice that could come from anywhere. It’s the difference between content that could have been written by anyone and content that could only have been written by you.

This is also why content writing and copywriting built on genuine expertise matter more than ever. The era of churning out keyword-stuffed pages built around surface-level information is firmly over.

2. Structure Content for Human Readers First

Write content for your human audience and make sure the content is well written and easy to follow. People generally appreciate it when web pages are organised by paragraphs and sections, along with headings that provide a clear structure to navigate content.

This isn’t a new principle, but it’s worth emphasising because AI systems specifically need to be able to parse and extract meaning from your content. Clear heading hierarchies, logical paragraph structure, and content that flows naturally are all signals that both humans and AI reward.

Google also reinforces the value of multimedia: Many people appreciate finding images and videos as they search for things online. As with Google Search overall, generative AI search features can bring in relevant images and video, which means more opportunities for your website to appear beyond web page links.

This connects directly to on-page SEO best practices — the fundamentals of our on-page SEO service — and reinforces that well-structured, richly illustrated content earns more surface area in AI responses, not just traditional results.

3. Build and Maintain a Clear Technical Structure

The way Google Search finds and processes your pages remains the core of how AI systems access your data. Technical clarity ensures your content is ready for discovery and indexing, and all existing technical SEO best practices continue to be worthwhile.

Specifically, Google’s guide emphasises several technical requirements:

Indexability is non-negotiable. To be eligible to be shown in generative AI features on Google Search, a page must be indexed and eligible to be shown in Google Search with a snippet, fulfilling the Search technical requirements. If your content can’t be crawled and indexed, it simply doesn’t exist for AI responses — regardless of how good it is.

Crawlability matters. To maximise your site’s visibility in generative AI search features, ensure your content is crawlable, as Google Search generative AI models use publicly accessible, crawlable content to learn patterns and provide relevant, grounded responses.

Page experience still counts. Provide a good page experience for those who arrive at your site. This includes ensuring your site displays well across all devices, reducing latency, and making it easy for people to distinguish your main content from other elements on the page.

Reduce duplicate content. Having duplicate content can be a bad user experience and search engines might waste crawling resources on URLs that you don’t even care about.

Our technical SEO service addresses all of these fundamentals — and they’re just as foundational for AI visibility as they’ve always been for traditional search. If your site has crawlability issues, thin pages, or technical errors, fixing these isn’t optional. It’s prerequisite. Our post on importance of on-page SEO and optimising content covers related ground worth revisiting.

4. Optimise Local Business and Ecommerce Details

For local businesses and ecommerce operators, Google’s guide has specific advice. Where appropriate, generative AI responses can include product listings, product information, and information about local businesses. Using products like Merchant Center and Google Business Profiles can help your products and services be visible in both AI responses and other Google Search results.

This is particularly relevant for Melbourne businesses looking to appear in AI-generated local responses. Our Google Business Profile management service and local SEO services are directly aligned with what Google is prescribing here. An incomplete or unverified Business Profile is a missed opportunity not just in traditional local results but increasingly in AI-generated responses as well.

For online retailers, Google’s guide reinforces that product data quality and Merchant Center feeds are significant factors. Our ecommerce SEO guide for 2026 and dedicated ecommerce SEO service cover the specific considerations for product-focused sites.

What You Can Stop Worrying About: Google’s Mythbusting Section

This is arguably the most useful part of Google’s new guide for anyone who has been chasing AI-specific optimisation tactics they’ve read about online. Google directly debunks several popular theories:

LLMS.txt files are not required. You don’t need to create new machine readable files, AI text files, markup, or Markdown to appear in generative AI search. If you’ve been told you need to add an llms.txt file to help AI systems read your site, you can safely ignore this advice.

“Chunking” content is not a ranking factor. There’s no requirement to break your content into tiny pieces for AI to better understand it. Google systems are able to understand the nuance of multiple topics on a page and show the relevant piece to users.

You don’t need to rewrite content specifically for AI. AI systems can understand synonyms and general meanings of what someone is seeking, in order to connect them with content that might not use the same precise words. This means you don’t have to worry that you don’t have enough “long-tail” keywords or haven’t captured every variation of how someone might seek content like yours.

Seeking inauthentic mentions won’t work. Seeking inauthentic “mentions” across the web isn’t as helpful as it might seem. Core ranking systems focus on high-quality content while other systems block spam; generative AI features depend on both. Genuine link building and authentic brand mentions earned through quality content remain the right approach.

Structured data is helpful but not required for AI. Structured data isn’t required for generative AI search, and there’s no special schema.org markup you need to add. However, it’s a good idea to continue using it as part of your overall SEO strategy, as it helps with being eligible for rich results on Google Search. Our post on structured data, search, and AI visibility covers when and how to use it effectively.

The Bigger Picture: AI Mode and What’s Changing

Understanding Google’s guide in context means appreciating just how significantly the search experience is shifting. Google’s AI Mode is not a minor feature update — it’s a fundamental reorientation of how queries are processed and results are presented. We’ve covered this in depth in our post on why AI Mode matters for local SEO and our broader analysis of AI-powered SEO strategy for 2026.

The shift also raises important questions about traffic. AI Overviews and AI Mode responses sometimes answer queries without users needing to click through to source pages — what’s broadly called the zero-click search phenomenon. Being cited as a source within an AI response is becoming a new form of visibility, even when the click doesn’t immediately follow.

This makes brand authority and content depth more important than ever. Sites that AI systems cite repeatedly build credibility that compounds over time. Our post on how to increase brand visibility in AI search explores this dynamic in detail.

There’s also the question of how AI agents — autonomous systems that carry out tasks on behalf of users — interact with websites. Browser agents may access your website to gather the data they need to complete tasks, such as analysing visual renderings like screenshots, inspecting the DOM structure, and interpreting the accessibility tree. Google recommends staying informed about agent-friendly website best practices, which is an emerging area worth watching.

Practical Steps to Apply Google’s Guide Right Now

Based on everything in Google’s official guidance, here’s what a sensible AI optimisation strategy looks like in practice:

Audit your content for commodity vs. non-commodity. Go through your existing pages and honestly ask: does this content say something that couldn’t have been generated by a generic AI or lifted from any other site? If not, it needs strengthening with real expertise, data, or first-hand perspective.

Fix technical fundamentals. Use Search Console to identify crawl errors, indexing issues, and pages that aren’t being served with snippets. None of those pages can appear in AI responses. Our technical SEO service can run a full audit to identify and prioritise these issues.

Strengthen your Google Business Profile. If you serve local customers, your Business Profile feeds directly into AI-generated local responses. Keep it complete, accurate, and regularly updated.

Focus on depth over volume. Google’s guide is explicit that a high quantity of pages doesn’t make a website higher quality or more relevant to users. Publishing fewer, stronger pieces consistently outperforms volume strategies in the AI search era.

Stop chasing AI-specific hacks. The tactics circulating about llms.txt files, content chunking, and rewriting for AI are not supported by Google’s own guidance. Time spent on these is time taken away from what actually works.

If you want a comprehensive review of how your current SEO strategy stacks up against what Google’s guide prescribes — and where the gaps are — our SEO agency in Melbourne offers strategic audits and ongoing SEO services built around exactly these principles. You can also explore our free SEO audit for Melbourne businesses as a starting point.

Conclusion

Google’s new AI optimisation guide delivers a message that should be clarifying rather than overwhelming: the fundamentals of good SEO are the fundamentals of AI search optimisation. Unique, expert content. Clean technical structure. Genuine authority. Good user experience.

What’s changed is the stakes. As AI features absorb more of the search experience, the gap between genuinely helpful sites and those that are merely present will widen. The businesses that invest in depth, credibility, and real value for their audience are the ones positioned to thrive — not just in traditional results, but in every AI-generated surface Google builds on top of them.