AI Search Optimisation: Google Updates Guidelines for 2023

Master Google’s AI Search Optimisation: Key Insights for Effective SEO Techniques

On 15 May 2026, Google unveiled its first comprehensive guide focused on enhancing AI Search Optimisation capabilities within its Search platform. This launch is particularly timely, considering that AI Mode now caters to over one billion users monthly, with AI Overviews making up 48% of all searches. This rapid expansion has ignited a whirlwind of speculation and misinformation within the SEO sector, along with a surge of overpriced “GEO hacks” that have proven ineffective.

John Mueller, a member of Google’s Search Relations team, announced this guide on the Google Search Central Blog, delivering a clear message:
There is no distinct practice known as AEO (Answer Engine Optimisation) or GEO (Generative Engine Optimisation). These concepts are merely traditional SEO strategies applied in an AI context.

This Information is Crucial! In recent years, numerous agencies have marketed “AI Search optimisation” packages featuring techniques like content chunking and the use of llms.txt files, among others.

Google Provides Clarity Amidst Confusion, Helping to Distinguish What Enhances Visibility and What is a Waste of Effort.

Understanding the Basics: AI Search Optimisation Features Rely on Core Ranking Systems!

The AI Search optimisation guide underscores a vital point: The early generative AI features within Google Search do not replace existing ranking systems; rather, they are built upon them.

Google explains that AI Overviews and AI Mode utilise “retrieval-augmented generation (RAG),” a technique where AI responses are grounded in information sourced from high-ranking web pages within Google’s traditional indexing system. Initially, Google’s systems retrieve relevant, high-quality pages based on established ranking signals and then curate information from these sources into an AI-generated response.

This implies that a web page with poor crawlability, insufficient content, or technical SEO issues will not be referenced in AI Overviews, even if it claims to be “optimised for AI.” The essential requirement is that foundational SEO practices must be effectively executed.

Key Insight: Your SEO strategy must remain consistent and executed with heightened diligence. Strong technical foundations, quality content, and a well-structured site are more important than ever, as these factors determine if your content will be considered for AI citation.

What Factors Impact Visibility in AI-Generated Results?

Google’s AI Search Optimisation guide outlines five critical areas that enhance visibility in AI-generated search outcomes:

1. Create Unique, Non-Commodity Content to Maximise AI Citation

The guide clearly states that content easily generated by AI lacks citation value. Google’s algorithms prioritise pages that demonstrate genuine expertise, original research, or personal experiences that cannot simply be synthesised from publicly available information.

Examples of Commodity Content (Low AI Citation Value):

• Generic articles offering “10 tips for…” that merely reiterate common knowledge.
• Content that summarises information already provided by other websites.
• Basic “What is X” explanations lacking a unique viewpoint.

Examples of High-Value Content (Strong Citation Potential):

• Genuine reviews based on actual product testing experiences.
• Case studies that include specific data from practitioners.
• Original research employing proprietary data or methodologies.
• Expert analysis connecting concepts often overlooked by general sources.

The principle is straightforward: if a large language model can generate similar content from publicly available web data, your page will not receive citation. Only content that reflects knowledge or experiences inaccessible to an AI system qualifies for consideration.

2. Optimise Locally and for Shopping with Google’s Integrated Tools

For businesses focusing on local and product-related searches, Google emphasises the importance of leveraging its ecosystem: the Google Business Profile for local services and the Google Merchant Center for e-commerce ventures.

This is essential because AI responses for local and shopping queries derive directly from these data sources. Accurate business hours, current pricing, verified categories, and recent reviews significantly impact what Google showcases in AI Overviews and AI Mode.

Actionable Step: Conduct an audit of your Google Business Profile and Merchant Center feed. AI responses will rely on outdated or incomplete information from these sources—not from your website.

3. Maintain a Clear and Accessible Page Structure Without Needing Mandatory Chunking

Google’s algorithms can comprehend entire pages and extract relevant sections without the necessity for content to be divided into small, separate parts. The guide explicitly states that there is no need to chunk content for AI consumption.

This counters a common recommendation among SEO professionals. Many agencies have advised clients to break content into 300-500 word sections for optimal AI parsing. Google’s guidance indicates that this approach is unnecessary and can even be counterproductive, disrupting the reading experience without delivering measurable SEO benefits.

Instead, focus on:

• Utilising clear headings that accurately reflect the content that follows.
• Crafting direct opening statements that address the implied query.
• Ensuring a logical content flow prioritising human readers.

4. Employ Structured Data for Rich Results Beyond Just AI Search Optimisation

The guide clarifies that no special schema markup is required for AI responses. structured data remains advantageous as it enhances eligibility for rich results in traditional search—where conventional visibility contributes to AI citation eligibility.

Utilise structured data to qualify for features such as:

• FAQ schemas for informative content.
• Product schemas for e-commerce.
• Organisation and LocalBusiness schemas to boost brand visibility.

The distinction is crucial: structured data supports rich results but does not directly benefit AI Overviews. Avoid implementing schema with the expectation of boosting AI citations; instead, use it to improve visibility in traditional search.

5. Prepare Your Site for Agent Accessibility in Transactional Contexts

In e-commerce, booking, and service-oriented sectors, Google underscores the importance of the Universal Commerce Protocol (UCP)—an evolving open standard co-developed with Shopify and endorsed by over 20 companies. UCP enables AI agents to facilitate transactions directly on websites.

The guide also indicates that browser agents assess websites through screenshots, DOM inspection, and accessibility trees. To ensure agent accessibility, consider the following:

• Ensure essential content does not rely on JavaScript rendering.
• Maintain a clean, crawlable HTML structure.
• Keep pricing and availability information current.
• Create FAQ sections that provide direct answers to purchase-related inquiries.

While preparing for agent-readiness may not be an immediate concern for most businesses, it is wise to monitor UCP adoption as a long-term strategic priority.

What Practices Should You Discontinue Based on Google’s AI Search Optimisation Guide?

The guide highlights tactics that present unnecessary risks without delivering corresponding benefits:

1. Cease Content Chunking for AI Optimisation

• Stop: Dividing content into small segments for AI parsing.
• Why: Google’s systems can automatically extract relevant excerpts from entire pages. Fragmenting content diminishes the reading experience for human visitors while failing to enhance the probability of AI citation.

2. Stop Creating llms.txt or AI-Specific Files

• Stop: Producing machine-readable files tailored solely for AI consumption.
• Why: While Google can crawl and index various file types, this does not provide those files with any special consideration in AI responses. Creating llms.txt or similar files does not enhance visibility; it merely complicates maintenance.

3. Avoid Rewriting Content Exclusively for AI Systems

• Stop: Restructuring your writing specifically for AI consumption.
• Why: Large language models understand synonyms, paraphrases, and varied sentence structures. There is no need to optimise for exact phrase matching or overstuff long-tail keywords. Write primarily for humans; AI systems will interpret it effectively.

4. Discontinue Generating Inauthentic Brand Mentions

• Stop: Creating fake mentions across forums, blogs, or social media to artificially inflate perceived authority.
• Why: Google’s core ranking algorithms evaluate content quality, and spam filtering actively prevents manipulation attempts. Inauthentic mentions can severely damage your site’s trust signals and are not a sustainable method for achieving visibility.

5. Stop Overemphasising Structured Data

• Stop: Implementing complex schema specifically to influence AI responses.
• Why: Structured data is not necessary for AI Overviews or AI Mode. Although it is valuable for rich results in standard search, there is no unique markup that enhances citation likelihood for AI. Focus schema investments on genuine needs rather than speculative AI optimisation.

Your Action Plan for Effective AI Search Optimisation

Based on Google’s insights, here’s how to prioritise your optimisation efforts:

Tier 1 (Immediate Actions):

1. Examine your top 20 pages for content quality—do they deliver non-commodity value that AI cannot replicate?
2. Ensure your Google Business Profile and Merchant Center data are accurate and up to date.
3. Eliminate any “AI optimisation” tactics that contradict the guide (such as chunking, llms.txt files, and unnecessary schema).

Tier 2 (Next Three Months):

1. Enhance your entity presence across reputable external platforms—consistent brand mentions in respected publications can improve AI citation chances.
2. Shift towards topical depth instead of isolated keyword pages—developing content clusters that explore a topic from multiple angles can perform better in AI Mode’s fan-out queries.
3. Add AI citation tracking to your reporting alongside traditional ranking metrics (platforms like Semrush, Ahrefs, and BrightEdge now incorporate AI Overview data).

Tier 3 (Ongoing Monitoring):

1. Monitor UCP adoption if your business involves e-commerce or transactional services.
2. Evaluate whether your product or service data can be structured as reliable, up-to-date feeds for AI agent use.

The Key Insight

Google’s AI Search optimisation guide delivers a clear message: SEO remains SEO. The fundamentals have not shifted—they have simply been adapted for new platforms. Your technical foundations, the quality of your content, and a user-centric focus will determine whether your pages qualify for AI citation. The “GEO hacks” circulating within the industry are either unnecessary, ineffective, or potentially damaging.

Cease investing in AI optimisation tactics that contradict Google’s guidance.

Refine your execution of the fundamentals, produce content that demonstrates true expertise, and track AI citation as a distinct key performance indicator alongside your traditional ranking metrics.

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Sources:

1. [Google Search Central — Optimizing for Generative AI](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) (Official guide, 15 May 2026)
2. [Google Search Central Blog — New Resource for AI Optimization](https://developers.google.com/search/blog/2026/05/a-new-resource-for-optimizing) (15 May 2026)
3. [Search Engine Journal — AI Overviews Cut Organic Clicks 38%](https://www.searchenginejournal.com/ai-overviews-cut-organic-clicks-38-field-study-finds/573145/) (January-February 2026)
4. [Launchcodex — Google I/O 2026: AI Search Update Analysis](https://www.launchcodex.com/blog/seo-geo-ai/google-io-ai-search-seo-update/) (19 May 2026)
5. [QuickSEO — Google AI Overviews Statistics 2026](https://quickseo.ai/blog/google-ai-overviews-statistics-2026-60-data-points-every-seo-should-know) (Aggregated from Profound, SE Ranking, Ahrefs)

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The Article Google Just Set the Record Straight on AI Search Optimisation was first published on https://marketing-tutor.com