How to Optimise for AI Search

What Google’s New Guide Actually Means for SEO

There is a lot of noise around this topic at the moment and, in my opinion, that is exactly what makes it harder than it needs to be. Some people are acting like answer-led discovery requires a completely separate playbook. Others are acting like nothing has changed at all. I do not think either view is especially helpful, so Google came a couple days ago with a clear and official “how-to-guide” on the subject matter.

What Google’s new guidance makes clear is that the fundamentals still matter. Google Search, AI Overviews, AI Mode and other generative features are still rooted in core ranking and quality systems. That matters because the route into better visibility is not about hacks. It is about stronger Search Engine Optimisation, better technical health, clearer content structure, stronger internal linking, and content that adds something genuinely useful.

Quick Answer

So if you are wondering how to optimise for AI search, my short answer is this:   focus on the same foundations that already support strong SEO: helpful and reliable content, strong content structure, crawlable and indexable content, good page experience, relevant media, clear page roles and pages that answer real questions better than competing sources. The best route into stronger visibility is still solid SEO applied more deliberately.

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Key Takeaways

• SEO is still relevant because generative features rely on core Search systems.
• The strongest pages are usually useful, unique, well structured and clearly better than generic summaries.
• Technical health still matters: pages need to be crawlable, indexed and snippet-eligible.
• You do not need AI-only hacks like llms.txt, forced chunking or unnatural rewrites.
• Better visibility usually comes from strong SEO, stronger structure, clearer answers and deeper topic coverage.

What Does It Mean to Optimise for AI Search?

In plain English, it means making your pages easier to surface, understand and use inside answer-led discovery experiences. That includes AI Overviews, AI Mode and other interfaces where the system assembles or summarises information rather than only showing a list of blue links.

It also means thinking beyond rank alone. You are not just competing to appear in search results. You are also competing to become part of the answer. That changes how important useful summaries, clear headings, structured content, trustworthy source material and stronger topic signals become.

In my experience, the pages that perform best in these environments tend to make the main point early, then expand with genuinely useful detail underneath. So for me, this is not a rejection of SEO. It is really SEO with higher expectations around clarity, usefulness and extractability.

Is SEO Still Relevant for Generative Discovery?

Yes – absolutely.

This is one of the most useful things Google has clarified. These features are still tied to the same core ranking and quality systems behind Google Search, which means strong pages still need to be discoverable, understandable and worth surfacing in the first place.

In my opinion, this is where a lot of the market gets overexcited. Terms like Generative Engine Optimisation can be useful shorthand, but the actual work still looks a lot like SEO: crawlability, relevance, trust, page experience, topic depth, internal linking and good website structure. If the underlying SEO is weak, the shiny new labels do not really help.

How Search Engines and AI Systems Discover Content

It helps to understand that these generative experiences are not working from thin air. Many AI systems rely on retrieval layers that pull from web content stored in search indexes, then synthesise answers from the sources they retrieve. That is why the quality of the source page still matters so much.

Whether the surface is Google, Google Gemini, Perplexity AI, Microsoft Copilot, Bing Chat, Microsoft Start or other AI assistants, they still need strong source material. A vague, messy or technically weak page is simply harder to use. Cleaner pages are easier for a search engine to understand, and usually easier for downstream systems and language models to interpret as well.

Historically, people talked a lot about Search Generative Experience. The names may have shifted, but the underlying principle remains the same: the better your source material is, the better chance it has of being surfaced in these answer-led environments.

That is why I keep coming back to the basics. Strong SEO still sits underneath the whole thing, even when the surface looks new.

How to Optimise for AI Search Results

Create unique, non-commodity content

This is where I would start. If the page is just repeating what everyone else already says, it is far less likely to stand out. Generative AI has made generic content easier to produce, which means it is also easier to ignore. In my experience, pages that perform well are the ones that bring something more specific, more useful or more informed than the obvious summary.

Improve content structure and answer clarity

Content structure is one of the biggest practical wins available. A page that is easy to skim is also usually easier for AI systems and large language models to interpret. That means clear headings, logical sections, short paragraphs, answer-first formatting and useful bullets or comparison blocks where they genuinely help.

I would also think carefully about structured content. Not robotic content, but content that is organised in a way that makes the intent of each section obvious. That makes it easier for both people and systems to work out what the page is actually trying to do.

Strengthen technical health

This still matters a lot. If the page is not indexed, not crawlable, badly rendered or weakly connected internally, that becomes a real limitation. Technical SEO health still includes crawlability, indexability, clean rendering, canonical clarity, page experience and strong internal linking.

I would also look closely at page load speed. If a page is painfully slow, it affects both user experience and how efficiently your site performs overall. Tools like PageSpeed Insights are still useful for identifying obvious page performance problems and helping clean up the basics.

Use internal linking and content clusters properly

I would pay close attention to internal linking and content clusters. If your pages are isolated, it is much harder to build topical authority. Stronger clusters help reinforce what your site should be known for, and they make it easier for search engines and retrieval systems to understand relationships between pages.

Use structured data and schema markup as support, not a shortcut

Structured data and schema markup still belong in the conversation, just framed properly. They can help search engines understand the page, its entities and its relationships more clearly, and they can support eligibility for Rich Results in some search results. But I would not treat them as a magic trick. They support understanding. They do not replace good content.

Use media properly

These experiences can surface more than plain text. That means relevant images and video can help. If screenshots, diagrams, product visuals or explainers make the page more useful, use them. And yes, basics like good filenames and descriptive alt text still matter.

How to Create and Optimise Your Content for Generative Discovery

If I were approaching this from a content workflow point of view, I would treat it less like “write for robots” and more like “make this easier to understand, trust and use”.

A practical process would usually include:

• auditing existing pages for usefulness, originality and clarity
• rewriting weak intros that delay the answer
• replacing vague subheadings with clearer ones
• adding examples, comparisons and specifics where the page feels thin
• improving internal linking so the page sits inside stronger topic clusters
• reducing duplication across overlapping pages

I would also think about who is attached to the content. Clear content authors, visible expertise and stronger ownership signals can help reinforce trust, especially where the topic benefits from real-world experience or specialist knowledge.

One thing I would avoid is creating dozens of near-duplicate pages for every possible variation of a prompt. Better topic depth almost always beats brute-force page sprawl.

From a digital marketing perspective, this is where content quality and site architecture start to work together. It is not only about one page. It is about the cluster, the hierarchy and the overall usefulness of the site.

How Do You Optimise Brand for Answer-Led Discovery?

This is where the topic becomes more commercially useful, because visibility in these environments is not just about individual pages. It is also about brand clarity and trust.

Build stronger topical authority

If your brand only touches a subject once, it is harder to become a recognised source. Stronger coverage and clearer clusters make it easier for search engines, AI systems and other retrieval layers to associate your site with the topic.

Strengthen business and entity signals

For service businesses and local brands, I would make sure the entity side is clean too. That means a clear Business Profile, a strong Google Business Profile, consistent brand information and pages that make it obvious what you do and where you operate. That helps both users and Google’s broader entity understanding, including its Knowledge Graph systems.

Publish content worth citing

In my opinion, a major part of brand optimisation here is simply publishing stronger source material. If your content is more useful, more specific and more trustworthy, the brand has a better chance of becoming associated with the answer and improving its broader AI visibility.

What Google Says You Can Ignore

This is one of the most useful parts of Google’s new guide because it directly pushes back on some of the hype. According to Google, you do not need special AI-only files, forced chunking, strange rewrites or inauthentic mentions just to perform better in these generative features.

That matters because the market is already full of tactics that sound clever but do not really address the core problem. In my experience, the better strategy is still the boring one: build stronger pages, make them more useful, improve technical health and reduce ambiguity.

What Advanced Strategy Adds on Top of Standard SEO

Once the basics are genuinely strong, there is an advanced layer worth thinking about. That includes things like citation-worthiness, entity reinforcement, clearer source signals and better alignment between hub pages and supporting pages.

I would not treat these as a replacement for SEO. I would treat them as refinements built on top of solid SEO. That is a much more realistic framing than pretending there is a separate universe of tactics just for AI tools, artificial intelligence systems or generative interfaces.

I would also keep an eye on how different discovery surfaces evolve. Google Perspectives, AI Overviews, Gemini-style experiences and other interfaces may all reward slightly different kinds of source material over time, even if the foundations remain the same.

A Practical Checklist

• Publish useful, non-commodity content
• Answer the main question clearly and early
• Improve content structure with cleaner headings and sections
• Make sure pages are indexed and snippet-eligible
• Improve crawlability and rendering where needed
• Reduce duplication across overlapping pages
• Strengthen internal linking and topic clusters
• Use relevant images and video where they genuinely improve the page
• Support local or product visibility with stronger supporting data where relevant
• Ignore hype tactics Google explicitly says are unnecessary

A Simple Way to Think About This

If I had to simplify the whole topic down, I would put it like this:

• strong SEO is the base
• better content structure improves extractability
• non-generic content improves usefulness
• technical health still matters
• modern discovery is not a separate trick layer — it is strong SEO executed more clearly

That is the framework I would use in practice.

 

Closing Thoughts

In my opinion, the most useful thing about Google’s new guide is that it brings the conversation back to reality. It is not telling us to invent an entirely new discipline. It is telling us to do the fundamentals properly, build better pages, improve clarity and stop wasting time on gimmicks.

If you want to improve your visibility in answer-led discovery, start by making the site stronger overall. Make the content more useful, the pages easier to understand, the technical foundation cleaner and the topic coverage more credible. That is still the work. The difference now is that the reward is not only a ranking — it is also becoming part of the answer.

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Frequently Asked Questions

How do you optimise for AI search?

Start with strong SEO fundamentals: helpful content, clear headings, crawlable pages, good page experience and pages that answer questions directly. Then refine the structure so the value is easier to extract and understand.

How do you optimise results in Google AI Overviews?

You do not optimise for Google AI Overviews with a special hack. In my experience, the best path is stronger content, clearer page structure, good technical health and pages that deserve visibility in Google Search in the first place.

How do you create and optimise your content for answer-led discovery?

Audit existing pages for usefulness, originality and clarity. Then improve intros, headings, comparisons, examples and topic depth so the page becomes more useful and easier to interpret.

How do you optimise brand visibility in modern generative results?

Build stronger topical authority, make your brand clearly associated with the topic, improve product and business data where relevant, and publish pages worth citing and surfacing.

Is SEO still relevant for AI Overviews and AI Mode?

Yes. Google’s guidance makes it clear that these features are still tied to core Search systems, which means strong SEO still matters.

Do you need special markup or llms.txt files for Google’s generative features?

No, based on Google’s current guidance. You do not need special AI-only files or forced AI-only formatting to be eligible for these features.