Google’s central message is that the rise of generative AI features—such as AI Overviews and AI Mode—does not represent a departure from traditional SEO. Instead, it is an evolution that reinforces core principles. Google confirms that its AI features are “rooted in core Search ranking and quality systems.” To appear in these AI-driven results, your content must first be eligible for traditional search.+3
The “Non-Commodity” Content Standard
A major shift in Google’s guidance is the distinction between “commodity” and “non-commodity” content. Commodity content is generic information that AI can easily replicate or summarize from a thousand other sources. To win in AI search, creators must produce “non-commodity” content—material that offers unique perspectives, firsthand experience, and deep expertise (E-E-A-T).+1
Technical Foundations Still Rule
Technically, Google has debunked several “AI-specific” optimisation myths. You do not need special llms.txt files, specific “chunking” of your text, or secret schema markup to be understood by AI. Google’s systems are already capable of understanding nuance and extracting relevant pieces of a page. The focus should remain on technical health: fast loading times, mobile-friendliness, and clear, semantic HTML that humans and machines alike can easily read.+1
Strategic Shifts: Intent and Context While the rules haven’t changed, user behavior has. AI search allows for longer, more conversational, and “multi-step” queries. Google uses techniques like Query Fan-out (breaking one complex question into multiple sub-queries) to gather information. Therefore, pages that answer a primary question while anticipating and answering logical follow-up questions are more likely to be cited.+1
Key Takeaways of AEO
- AEO & GEO are just SEO: Google views “Answer Engine Optimization” and “Generative Engine Optimization” as extensions of standard SEO. Don’t look for “hacks”; look for quality.+1
- Prioritize E-E-A-T: Experience and Trustworthiness are paramount. AI cannot replicate a human’s lived experience or original research.+1
- Answer Directly: While “chunking” isn’t required, providing clear, concise answers to specific questions within your long-form content helps AI systems cite you as a source.
- Visuals Matter: High-quality images and videos are frequently pulled into AI Overviews. Descriptive alt-text and video SEO are more important than ever.
- Local & Ecommerce Data: For businesses, keeping Google Business Profiles and Merchant Center feeds updated is the most direct way to feed AI “agents” that help users shop or book services.
Infographic: Google’s AI Optimisation Framework
| Category | Actionable Strategy | What to Avoid |
|---|---|---|
| Content Quality | Create “Non-Commodity” content with original insights and data. | Generic, “me-too” content that rehashes existing web info. |
| User Intent | Address conversational, long-tail queries and follow-up questions. | Focusing only on short, high-volume “head” keywords. |
| Technical | Use semantic HTML, clean JavaScript, and ensure fast page speed. | Using “hacks” like llms.txt or artificial text chunking. |
| Trust Signals | Clear author bylines, citations, and transparent “About” info. | Inauthentic mentions or fake reviews to game the system. |
| Structured Data | Use standard Schema (FAQ, Product, Recipe) for rich results. | Searching for “secret” AI-only markup or hidden code. |