Google has published an official guide for website owners on how to optimize for generative AI features in Search — including AI Overviews and AI Mode. If you have been confused about whether "GEO" or "AEO" is a real discipline or just another buzzword, this is the document that clarifies it directly from the source.
At Vivid Visuals, we have been writing about the shift from SEO to AEO since our earliest blog posts. Now that Google itself has weighed in, here is a practical breakdown of what the guide says, what it does not say, and what it means for your small or mid-sized business.
What Google Actually Published
In early September 2026, Google Search Central released a guide titled "Optimizing your website for generative AI features on Google Search." The page sits alongside Google's existing SEO fundamentals documentation, which signals something important: Google considers AI search optimization to be part of ordinary SEO, not a separate discipline.
The guide addresses website owners who want their content to appear in AI Overviews (the AI-generated summaries at the top of search results) and AI Mode (Google's conversational search experience). It opens by asking a question many business owners have been wondering: "Is SEO still relevant for generative AI search?" Google's answer is an emphatic yes.
The Core Message: SEO Is Still SEO
Google's central argument is that generative AI features on Search are rooted in the same core ranking and quality systems that have powered traditional search for years. The guide explains two technical concepts that make this connection clear:
Retrieval-Augmented Generation (RAG): When you ask Google a question and it generates an AI Overview, it does not generate the answer from scratch. It retrieves relevant web pages from its existing search index using the same ranking systems that produce traditional results, then synthesizes the information from those pages into a generated response. The response includes clickable links to source pages — meaning the pages that rank well in traditional search are also the ones most likely to feed AI answers.
Query Fan-Out: When you search for something complex, Google's AI generates a set of concurrent related queries behind the scenes. For example, if you search "how to fix a lawn full of weeds," the system might run parallel queries like "best herbicides for lawns," "remove weeds without chemicals," and "how to prevent weeds in lawn." It retrieves results for all of these at once and synthesizes a more comprehensive answer.
The practical takeaway is straightforward: if your content is not discoverable and high-quality in Google's traditional index, it will not surface in AI-generated answers either. The foundation has not changed — it has simply been connected to a new presentation layer.
Google's Position on AEO and GEO
The guide directly addresses the terms "AEO" (Answer Engine Optimization) and "GEO" (Generative Engine Optimization) that have proliferated across marketing blogs and agency offerings. Google's position is nuanced:
"AEO stands for answer engine optimization and GEO for generative engine optimization. These are both terms you may see used to describe work specifically focused on improving visibility in AI search experiences. From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."
Google then adds a pointed recommendation: "If you're considering third-party AEO or GEO advice or services, review our guidance on evaluating third-party SEO advice."
This is a clear signal. Google is not endorsing the cottage industry of GEO consultants and AEO agencies as a distinct discipline. They view it as SEO, full stop. That does not mean the optimization work those agencies do is wrong — it means that if someone is selling you "GEO" as a mysterious new science divorced from SEO fundamentals, you should be skeptical.
What This Means for SMBs: 5 Practical Actions
If Google is saying AI search optimization is just SEO done well, what should you actually do? Here are five concrete actions we implement for our clients at Vivid Visuals, aligned with Google's guidance:
1. Strengthen Your Content Foundation
Google's guide emphasizes that the same best practices for creating helpful, reliable, people-first content apply to generative AI features. This means clear headings, comprehensive answers, original information, and content that genuinely addresses user intent. No amount of technical trickery substitutes for content that actually answers the question.
2. Ensure Crawlability and Indexability
If Google cannot crawl and index your pages, they cannot feed AI answers. Check your robots.txt, ensure important pages are not blocked, verify your XML sitemap is submitted, and monitor Search Console for crawl errors. This is Technical SEO 101, but it is the prerequisite for everything else.
3. Use Structured Data Correctly
Google's guide references structured data as part of the overall SEO foundation. Schema.org markup helps Google understand what your pages are about — whether it is articles, products, local business information, or FAQs. Accurate structured data helps both traditional ranking and AI content retrieval.
4. Optimize Information Extraction
Because AI Overviews synthesize information from multiple pages, make your key facts easy to extract. Use descriptive headings, concise definitions, data tables for comparisons, clear step-by-step instructions, and visible citations for claims. This is not "AI-optimized prose" — it is good content design that helps human readers and AI systems alike.
5. Do Not Chase Buzzwords Over Results
If an agency tells you they will "optimize you for GEO" without first checking your technical SEO health, your content quality, and your indexability, they are putting the cart before the horse. Google's guide confirms what we have been saying: the work is the same, just with a new reason to do it well.
What Google Does Not Say (and What We Have Learned in Practice)
Google's guide is helpful but deliberately limited. It does not address several realities we see every day working with SMB clients:
Google is not the only AI search engine. ChatGPT Search, Perplexity, Microsoft Copilot, and Claude all retrieve and synthesize web content, but they do not all use Google's index. Optimizing for Google's AI features is necessary but not sufficient. Your content needs to be discoverable and well-structured across the broader web, not just in Google's ecosystem.
Third-party data sources matter. AI engines cross-reference your claims against review platforms, industry directories, and news articles. We explored this in depth in our article on where AI assistants get supplier recommendations. Building entity consistency across the web — not just on your own site — is what creates visibility in AI answers.
Local SEO feeds AI local recommendations. If a user asks ChatGPT for a service provider in their city, the AI pulls from local business listings, directories, and review sites. Your Google Business Profile, Yelp presence, and local directory citations all contribute to whether your business appears in those recommendations.
AI search behavior is conversational, not keyword-based. Users do not type "plumber Montreal" into ChatGPT — they write full sentences explaining their problem. Your content should answer natural-language questions with clear, complete responses that address context, not just match keywords.
These gaps do not contradict Google's guide — they extend it. Google is telling you to do SEO well, and that is correct. But the broader AI search landscape requires you to think beyond Google alone.
Read next from the blog : AI Content Tools and the 2026 Marketing Stack Shift: What Hootsuite and Sprout Social Reveal · Gartner's $2.7 Trillion AI Forecast: What Record Spending Means for Small and Mid-Sized Businesses · Factory's $5B Valuation: AI Coding Agents and the Future of Custom Software · From SEO to AEO: How to Get Your Business Cited by ChatGPT, Google AI Overviews, and Copilot
Read next from the blog : AI Content Tools and the 2026 Marketing Stack Shift: What Hootsuite and Sprout Social Reveal · Gartner's $2.7 Trillion AI Forecast: What Record Spending Means for Small and Mid-Sized Businesses · Factory's $5B Valuation: AI Coding Agents and the Future of Custom Software · From SEO to AEO: How to Get Your Business Cited by ChatGPT, Google AI Overviews, and Copilot
