# Google Says AEO and GEO Are SEO, Not Separate Silos for AI Search Strategy > Source: > Published: 2026-09-02 23:45:30+00:00 Google has made its position on answer engine optimization and [generative engine optimization](https://scalevise.com/resources/geo/) clearer: **AEO and GEO are not separate disciplines from SEO** when the goal is visibility in Google Search's generative AI experiences. Its guidance directs site owners back to the fundamentals that make pages useful, crawlable and understandable, rather than toward isolated tactics designed solely for AI Overviews or AI Mode. That distinction matters because Google is integrating AI experiences into Search, not creating a wholly independent ranking channel. Businesses reviewing their search strategy should therefore treat AI visibility as part of their existing content, technical SEO and measurement work. The practical priority is not to build a disconnected AEO program. It is to make the website's best information eligible to be found and used across Google's evolving search surfaces. In its [official guide to optimizing websites for generative AI features in Google Search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide), Google acknowledges AEO and GEO as industry terms. But the company says its own perspective is simpler: the same established SEO practices apply to generative AI features in Search. Google's guidance centers on several connected requirements: The guide also places AI Overviews and AI Mode within Google Search's broader product experience, supported by Google's Gemini and AI systems. For publishers and website owners, that means traditional search quality is not being replaced by a separate checklist. It remains the underlying work. The major change is less about a new technical requirement than a more disciplined way to organize optimization work. Teams may have treated traditional rankings, [AI citations](https://scalevise.com/resources/three-phases-earn-ai-citations/) and answer-focused content as unrelated projects. Google's guidance suggests that this separation can obscure the common foundations: useful information, accessible pages and strong site quality. A page does not become valuable to AI features merely because it has been rewritten in a question-and-answer format. Clear answers can help readers, but the guide's emphasis is on substantive content and technical accessibility. Businesses should avoid treating short, generic answers or heavily templated pages as a substitute for original expertise. | Approach | Separate AEO or GEO silo | Google's stated SEO approach | |---|---|---| | Strategic focus | Dedicated tactics aimed only at answer or generative engines | Foundational SEO applied to generative AI features in Google Search | | Content priority | Potential emphasis on answer formatting alone | High-quality, non-commodity content that provides value | | Technical requirements | Treated as a separate optimization layer | Clear structure, crawlability and indexability remain essential | | Measurement | Detached from established search reporting | Use Search Console's Generative AI performance reporting | For a business website, a unified approach starts with the pages that already matter most: service pages, product information, help resources and original expert content. Review whether those pages answer the real questions a prospective customer needs answered, while still explaining the context, limitations and next step clearly. Technical teams should also ensure that important content is available to Google through normal crawling and indexing. A strong page can only contribute to Search visibility if search systems can access and understand it. This makes technical SEO, information architecture and content quality mutually dependent rather than separate workstreams. Measurement should follow the same principle. Search Console's Generative AI performance reporting provides a way to examine performance in Google's generative AI features alongside broader search activity. It should inform analysis, not encourage teams to optimize toward a single report in isolation. Changes in visibility need to be considered with page purpose, audience needs and conversion outcomes. The broader industry conversation often extends beyond Google to places such as Reddit, YouTube and LinkedIn. That reflects a reasonable operational concern: audiences encounter a company's expertise, products and explanations across more than one channel. However, Google's AI optimization guide does **not** prescribe cross-platform content governance or require a formal AEO strategy spanning social platforms. It focuses on websites and Google's own generative AI search features. Businesses should not present channel coordination as an official Google ranking requirement. There is still a sound practical case for consistency. When a company publishes conflicting product details, outdated guidance or different explanations of the same offering across its website and public channels, customers can be confused and content teams create unnecessary rework. A lightweight operating process can help: maintain a verified source of truth for key claims, update high-value website pages first, and adapt the same accurate information for each channel's format and audience. The important distinction is between **a useful editorial practice** and an officially documented Google directive. Google has clearly documented the former SEO foundations for its AI Search experiences. It has not issued a cross-platform playbook for Reddit, YouTube or LinkedIn. For businesses, the opportunity is to avoid duplicating work under different labels. A well-maintained library of original, technically accessible website content can support conventional Google results and generative AI features at the same time. Social and video channels can then reinforce customer understanding and direct people toward the pages where the business controls the full explanation and conversion path. If AI-driven search is changing how customers discover your expertise, Scalevise can help you [measure where your brand appears](https://scalevise.com/resources/measure-brand-visibility-ai-answers/) and identify the content gaps that affect visibility. The [AI Visibility and GEO Checker](https://scalevise.com/ai-visibility-geo-checker) gives teams a practical starting point for connecting AI search findings with pages that support real customer decisions, rather than chasing disconnected optimization tactics. **Start an AI Visibility scan.** **What does Google say about AEO and GEO?** Google recognizes AEO and GEO as industry terms, but says optimizing for generative AI features in Google Search is still SEO. Its guidance emphasizes foundational content and technical practices rather than separate AI-only tactics. **Do AI Overviews and AI Mode require a separate SEO strategy?** Google's guidance indicates that they do not require a separate discipline. High-quality content, clear technical structure, crawlability and indexability remain central to visibility in these Search experiences. **How can website owners measure performance in Google's AI features?** Google directs site owners to Search Console's Generative AI performance reporting to measure performance in relevant generative AI features. **Does Google require businesses to coordinate content across Reddit, YouTube and LinkedIn?** No. Google's AI optimization guide does not prescribe cross-platform content governance. Keeping information consistent across channels can still be a useful business practice, but it is not presented as an official Google requirement. Google's guidance removes much of the mystery around AEO and GEO for Google Search: they belong within SEO, not beside it as separate silos. Businesses that invest in original content, sound technical foundations and meaningful measurement will be better positioned to assess visibility as AI Overviews and AI Mode continue to form part of the Search experience.