New Guidance from Google: How to Optimize for AI Search

Google released updated official guidance on how to optimize websites for AI search, and the core message is straightforward: SEO still works. The document, titled "Optimizing Your Website for Generative AI Features on Google Search," walks through what matters, what does not, and which popular tactics are not worth your time. This post covers every section of that document so you can focus on what actually moves the needle.

Is SEO Still Relevant for AI Search?

Yes. Google confirmed that SEO best practices continue to apply to AI-generated search results. The generative AI features in Google Search, including AI Overviews and AI Mode, are built on top of the same core ranking and quality systems that have always powered traditional search results.

Google's generative AI features use two main techniques to retrieve and present information:

• Retrieval-augmented generation (RAG): AI retrieves up-to-date pages from Google's search index and uses that content to generate its response. Pages that rank in traditional search are the same pages that feed AI responses.
  
  
• Query fan-out: When a user asks a question, AI generates multiple related searches behind the scenes to find the most complete answer. Content that covers a topic thoroughly has more opportunities to appear.

The terms AEO (answer engine optimization) and GEO (generative engine optimization) describe work focused on AI search visibility. Google's position is that AEO and GEO are just SEO. Optimizing for AI search and optimizing for traditional search are the same activity.

Why Do AI Bots Still Use Google?

AI models get information in two ways. AI models are pre-trained on large datasets that include stable, non-changing information such as completed research studies. For current or location-specific information, AI models go out and search the internet using a search engine.

AI tools do not have their own search indexes. Every major AI company has announced plans to build one, and every major AI company has quietly stepped back from those plans. Google has been indexing the web for over 30 years, and that infrastructure is not easily replicated.

Google is not going to block AI bots from using its search engine. Google has its own AI products and understands that AI is the direction search is heading. The practical result is that the same SEO work that helps your website appear in traditional Google results also helps your website appear in AI-generated responses.

What Does Google's New Guidance Actually Say?

Google's document is organized into four main areas: foundational SEO, technical structure, local and ecommerce details, and a myth-busting section. Here is a summary of each.

Foundational SEO for AI Search

Google's foundational recommendations have not changed. The document emphasizes:

• Provide a unique point of view. AI systems look at a wide range of sources. A first-hand perspective or direct experience stands out in a way that a summary of existing content does not.
  
  
• Create helpful, non-commodity content. Commodity content covers common knowledge that anyone could write. Non-commodity content brings genuine expertise or experience that goes beyond what is already widely available.
  
  
• Organize content for readers. Clear headings, logical structure, and readable paragraphs help both readers and AI systems understand what a page is about.
  
  
• Include high-quality images and video. AI can view and analyze images on a page. Video content embedded in the standard way is generally not yet accessible to AI systems, though that is likely to change. Adding images following standard image SEO practices is already optimizing for AI.
  
  
• Do not overdo it. Creating large numbers of pages targeting every variation of a keyword violates Google's scaled content abuse policy. A high quantity of pages does not make a website more relevant. Google's systems have improved significantly at identifying relevance even when the exact query words are not present.
  
  
• Use AI to assist, not replace. Using a generative AI tool to produce content from a keyword alone is spam under Google's current policies. AI should support your content creation process, not run it.

Technical Structure

Google confirmed that technical SEO fundamentals still apply directly to AI search visibility. The key points:

• Pages must be indexed and eligible to appear with a snippet in Google Search to be eligible for inclusion in AI responses.
  
  
• Content must be crawlable. AI generative models use publicly accessible, crawlable content.
  
  
• JavaScript SEO best practices apply. Google can process JavaScript content that is not blocked, but JavaScript-based websites add complexity.
  
  
• Page experience matters. Sites should display well across devices, load quickly, and make the main content easy to identify.
  
  
• Duplicate content hurts visibility. Pages that repeat the same content across multiple URLs can confuse both search engines and AI systems about which version to surface. Reducing duplicate content is worth the time investment.

Verifying your site in Google Search Console is the fastest way to identify and diagnose technical issues.

Local Business and Ecommerce Details

Google's AI responses can include product listings and local business information. Keeping a Google Business Profile current and using Google Merchant Center feeds where applicable helps your business appear in both AI responses and traditional search results. Google also introduced a product called Business Agent, a conversational experience on

Google Search that lets customers interact with a brand directly.

What Do You Not Need to Do for AI Search?

Google's myth-busting section is the most useful part of the document for photographers and small business owners.

Here is what you can safely ignore:

• Chunking content. There is no requirement to break your content into small pieces for AI to process. Google's systems can understand multiple topics on a single page and surface the relevant portion. Page length should be determined by your audience and subject matter, not by AI optimization theories.
  
  
• Rewriting content for AI systems. You do not need to write differently for AI. AI systems can understand synonyms and general intent, which means you do not need to target every variation of a keyword or phrase. Write for people.
  
  
• Seeking inauthentic mentions. Getting your site referenced on low-quality or irrelevant websites is a spam signal, not an advantage. Links and mentions matter for AI search just as they matter for traditional search, but quality and relevance determine their value.
  
  
• Overfocusing on structured data. Structured data is not required for AI search visibility. Google does not use special schema markup to determine whether content appears in AI responses. Structured data remains useful for traditional rich results in search, but it is not a factor that specifically drives AI visibility.

What Should You Focus on Instead?

Google's document closes with four priorities:

1. Apply foundational SEO best practices. The technical and content practices that have always mattered in search continue to be the foundation for AI search visibility.
   
   
2. Create helpful, reliable, people-first content. Content that serves a real reader need is what AI systems are designed to find and surface. This is not changing.
   
   
3. Ignore AEO, GEO, and AI hacks. Tactics marketed as special AI optimization strategies, including chunking and AI text file creation, are not supported by how Google Search actually works.
   
   
4. Stay informed about agentic experiences. Browser-based AI agents that can interact with websites are still developing. Google does not have specific guidance yet, but following accessibility and semantic HTML best practices now will help prepare your site.

What Are Agentic Experiences and Do They Matter Yet?

AI agents are automated systems that can perform tasks on behalf of a user, such as booking a reservation or comparing product specifications. Browser-based agents access websites by analyzing visual renderings, inspecting the page structure, and reading the accessibility tree.

This area is still developing. Google acknowledges that specific best practices are not fully established yet. If you have time and interest, the guide to agent-friendly website best practices linked in the Resources section below is worth reading. For most photographers and small business owners, agentic experiences are not an immediate priority.