Generative Engine Optimisation is the most talked-about but least well-understood concept in SEO right now. The conversation around it tends to be either too abstract (vague statements about "optimising for AI") or too narrow (treating it as a minor extension of existing AEO techniques). Neither is accurate. GEO is a distinct discipline that requires specific understanding of how generative AI systems work and how they evaluate content differently from traditional search engines.
This is the practical guide — what GEO actually is, why it matters, how it differs from SEO and AEO, and what to do about it.
Defining the Three Disciplines Clearly
The confusion starts with terminology. SEO, AEO, and GEO are three related but distinct disciplines, and conflating them leads to misdirected effort. Let's be precise.
SEO (Search Engine Optimisation) is the practice of optimising your content and website to rank in traditional search engine results — Google's blue links, position-based results pages. The goal is to appear high in ranked lists. The signals that matter most are relevance (does Google think this page answers the query?), authority (do other credible sites link to and reference this page?), and technical quality (is the page fast, well-structured, and easy for Google to crawl and understand?).
AEO (Answer Engine Optimisation) is the practice of optimising your brand and content to be cited by AI assistants — ChatGPT, Perplexity, Gemini, Claude — when they generate answers to questions. The goal is to be the source an AI names when answering a question in your category. AEO is platform-agnostic and applies across all AI assistant products. The signals that matter most are entity clarity, content authority, and third-party corroboration.
GEO (Generative Engine Optimisation) is specifically about Google's generative AI features — AI Overviews and similar products within the Google search experience. Unlike AEO, which targets standalone AI assistants, GEO targets AI-generated content that appears within a traditional search results page. The goal is to have your content cited or summarised in Google's AI Overview for relevant queries. GEO shares some techniques with AEO but is specifically calibrated to Google's content evaluation criteria and the specific way AI Overviews are generated.
Why GEO Requires Its Own Strategy
Google's AI Overviews use a different content selection methodology than both traditional organic ranking and general LLM citation. Understanding this is essential for optimising effectively.
AI Overviews are generated using a retrieval-augmented generation approach built on top of Google's existing search infrastructure. They don't just pull from any content on the web — they pull from content that Google has already deemed high-quality and relevant through its existing indexing and ranking processes. This means that ranking well in traditional organic search is a prerequisite for appearing in AI Overviews — but it's not sufficient on its own.
Google's AI Overview generator then selects specific passages from high-ranking pages, synthesises them, and generates a summary. The selection of which passages to use depends on their directness and relevance to the specific query, their structural accessibility (content under clear headings is more extractable than content buried in narrative prose), their E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness), and the absence of contradicting signals from other high-quality sources.
The E-E-A-T Foundation
Google's E-E-A-T framework is more important for GEO than for traditional organic ranking. AI Overviews are Google's most visible output, and Google applies higher quality standards to content it features there than to content it ranks on page two of organic results.
Experience means demonstrating that the content comes from someone who has personally done the thing they're writing about. First-person accounts, specific examples from direct experience, observations that could only come from practice — these signals matter significantly. The trend toward author bios, expert profiles, and first-person content is directly relevant here.
Expertise means demonstrating deep knowledge of the subject matter. Comprehensiveness, technical accuracy, awareness of nuance and edge cases — these signal expertise. Generic, surface-level coverage of a topic will struggle to earn AI Overview citations even if it ranks well for the query.
Authoritativeness means being recognized as an authority by others in your field. This comes through external mentions, citations, links from relevant sites, and features in industry publications. You can't manufacture authoritativeness directly — it has to be earned through external recognition.
Trustworthiness means being accurate, transparent about limitations, citing sources where appropriate, and avoiding the kind of overclaiming that characterises low-quality content. Content that includes specific, verifiable claims with appropriate attribution is more trusted than content that makes bold claims without evidence.
Passage-Level Optimisation
One of the most distinctive aspects of GEO is the importance of passage-level relevance. Google uses passage indexing — the ability to index and rank specific passages within a page, not just the page as a whole. This means a single page can rank for multiple queries based on different sections of its content, and it means that the specific passages within your content matter as much as the overall page quality.
For GEO, you need to ensure that every section of your content contains a complete, standalone answer to the question that section addresses. Each subsection should be able to stand alone as a response to a specific query. If the only way to understand a passage is to have read everything that came before it, that passage is less likely to be extracted for an AI Overview.
Write with extraction in mind. Every heading is a potential query. Every subsection should start with a direct, complete answer to the question implied by that heading. Supporting detail, examples, and context can follow — but the extractable answer should be at the top of each section.
The GEO Audit Process
Run your top 20 target queries in Google and note which ones trigger AI Overviews. For queries where AI Overviews appear, analyse which sources are being cited. What are those pages doing differently from your pages? Are they more structured? Do they have stronger E-E-A-T signals? Do they use FAQ schema? Are they more directly answering the specific query in specific passages?
For queries where you're not getting AI Overview citations but competitors are, this analysis tells you exactly what gaps to address. It's the most direct path to measurable GEO improvement — diagnose the specific difference between what's being cited and what you're offering, and close that gap.
Repeat this audit monthly. AI Overviews are a relatively new feature and Google is actively iterating on them. Staying current on what's working requires regular observation, not a one-time setup.