Optimising for Generative AI Search

Optimising for Generative AI Search on Google

The digital landscape is rapidly transforming as users increasingly turn to generative AI experiences to find information. Google has published comprehensive guidance for website owners, SEOs, and developers on how to optimize content for AI-powered search features like AI Overviews and AI Mode. This article synthesizes Google’s official recommendations to help you position your website for success in this evolving search environment.^[1]^[2]

The Foundation: SEO Still Matters

Google’s core message is clear: traditional SEO remains essential for generative AI search. Google’s generative AI features are rooted in core Search ranking and quality systems, using AI techniques like retrieval-augmented generation (RAG) and query fan-out to surface content from the Search index. If your content isn’t technically sound and high-quality enough to rank in traditional search, it won’t perform in AI-generated answers either.^[3]^[2]

Creating Content That Stands Out

Provide a Unique Point of View

Google’s AI systems analyse multiple sources, so unique perspectives are especially valuable. Firsthand content based on personal experience stands out more than summaries of existing content. Create original content based on your expertise rather than recycling what others have already published or what generative AI models could easily produce.^[2]

Focus on Non-Commodity Content

The distinction between commodity and non-commodity content is critical. Commodity content like “7 Tips for First-Time Homebuyers” relies on common knowledge anyone could share. Non-commodity content such as “Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line” provides unique expert insights that go beyond the ordinary.^[2]

Structure Content for Human Readers

Organise content using paragraphs, sections, and clear headings that help readers navigate easily. Write for your human audience first, ensuring content is well-written and easy to follow. The central principle is simple: focus on what visitors would find helpful and satisfying.^[2]

Incorporate Multimedia Elements

Support textual content with high-quality images and videos when appropriate. Google’s generative AI features can incorporate relevant images and video, creating additional opportunities for your website to appear beyond text links. Following existing image SEO best practices and video SEO documentation automatically optimizes for generative AI search.^[2]

Technical Excellence Remains Essential

Meet Core Technical Requirements

Pages must be indexed and eligible to appear in Google Search with a snippet to show in generative AI features. This means fulfilling basic Search technical requirements. Verify your site in Search Console to quickly discover and diagnose potential technical issues.^[2]

Maintain Crawlability

Ensure your content is crawlable, as generative AI models use publicly accessible content to provide relevant responses. For large, frequently updated sites, optimize your crawl budget.^[2]

Optimise JavaScript Implementation

If using JavaScript frameworks, follow JavaScript SEO best practices. Google can process JavaScript content as long as it isn’t blocked, though SEO with JavaScript frameworks is generally more complex.^[2]

Deliver Excellent Page Experience

Provide fast-loading pages that display well across all devices, with clear distinction between main content and other elements. Users clicking from AI Overviews tend to spend more time on sites, suggesting they arrive more engaged and ready to interact with quality content.^[4]

Minimise Duplicate Content

Duplicate content creates poor user experiences and wastes crawling resources on URLs you may not prioritize. Reducing duplication improves overall site quality.^[2]

Specialised Optimisation Opportunities

Local Business and Ecommerce

Generative AI responses can include product listings, product information, and local business details. Using Merchant Centre feeds and Google Business Profiles helps your products and services appear in both AI responses and traditional Search results.^[2]

What You Don’t Need to Do

Google explicitly debunks several tactics circulating online as “Answer Engine Optimisation” or “Generative Engine Optimisation”:^[3]^[2]

LLMS.txt files: No special treatment or preferred indexing pathway exists for these files^[3]^[2]
Content chunking: Google systems understand multi-topic pages and extract relevant passages without pre-fragmentation^[3]^[2]
AI-specific rewriting: AI features understand synonyms and general meanings, making keyword variation unnecessary^[3]^[2]
Special schema or markup: No Markdown versions or AI-specific markup are required^[3]^[2]
Inauthentic mentions: Core ranking systems focus on high-quality content while blocking spam; seeking artificial mentions isn’t helpful^[2]
Overfocusing on structured data: While useful for rich results generally, structured data isn’t required specifically for generative AI search^[2]

Preparing for AI Agents

AI agents are autonomous systems that perform tasks like booking reservations or comparing products. Browser agents may access websites by analysing screenshots, inspecting DOM structure, and interpreting accessibility trees. If relevant to your business, explore agent-friendly website best practices and emerging protocols like Universal Commerce Protocol.^[3]^[2]

Action List for Website Optimisation

Based on Google’s official guidance, implement these prioritized actions:

Content Creation:

Develop unique, non-commodity content based on firsthafirsthandise and experience
Provide perspectives that go beyond common knowledge available elsewhere
Organise content with clear headings, paragraphs, and logical structure
Add high-quality, relevant images and videos to support textual content
Avoid creating content variations solely to manipulate rankings
If using AI tools for content creation, ensure work meets Search Essentials and spam policies

Technical Foundation:
7. Verify your site meets Search technical requirements (indexable, returns HTTP 200 status)
8. Ensure Googlebot isn’t blocked and content is crawlable
9. Implement JavaScript SEO best practices if using JavaScript frameworks
10. Use semantic HTML to improve accessibility and readability
11. Verify and monitor your site in Search Console
12. Reduce duplicate content across your website

Page Experience:
13. Optimize loading speed and performance across all devices
14. Make main content easily distinguishable from secondary elements
15. Ensure responsive design for mobile and desktop users

Specialised Optimisation:
16. Update Merchant Centre feeds with accurate product information
17. Maintain current Google Business Profile details
18. Follow image SEO and video SEO best practices
19. Implement structured data for rich results (but don’t overfocus on it)

What to Avoid:
20. Don’t create LLMS.txt files expecting special treatment
21. Don’t chunk content into small pieces artificially
22. Don’t rewrite content solely to capture keyword variations
23. Don’t seek inauthentic mentions across the web
24. Don’t create special markup or Markdown versions for AI

Measurement and Evolution:
25. Track conversion quality, not just click volume from AI features
26. Monitor engagement metrics like time on site and user actions
27. Stay informed through Google Search Central blog and resources
28. Consider agent-friendly practices if relevant to your business model

The transformation to AI-powered search offers new opportunities to reach engaged audiences who spend more time with content and are more likely to convert. By focusing on valuable content and solid technical foundations rather than unproven “hacks,” you’ll position your website for sustained success as search continues evolving.^[4]^[2]

How has your website’s traffic from Google Search changed since AI Overviews became more prominent, and which content types are performing best in these AI-powered features?

References