TL;DR: SEO, GEO, and AEO are related but not interchangeable. Strong ecommerce SEO fundamentals like technical health, content quality, authority, and intent alignment remain the foundation for visibility across every channel, including AI Overviews and LLMs. GEO and AEO layer on top of that foundation. You can’t skip to step three.
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I’ve said it before; there’s a lot of noise right now about the “death of SEO” and the rise of Answer Engine Optimization. And some of it is worth paying attention to. But a lot of it conflates three distinct things, SEO, GEO, and AEO, into one blurry acronym soup, which leads brands to make expensive strategic mistakes.
Here’s what I keep seeing in practice: the ecommerce brands showing up in AI Overviews and getting cited by ChatGPT, Claude, etc. aren’t doing it despite their SEO investment. They’re doing it because of it. Solid SEO fundamentals and genuinely helpful, authoritative content continue to drive visibility, just across more surfaces than before.
So let’s be precise about what these three things actually mean, what they share, and where they diverge.
What SEO, GEO, and AEO Actually Mean
Search Engine Optimization (SEO) is the practice of earning visibility in traditional search results, primarily Google. It’s been around for decades and covers technical site health, content quality, link authority, and user intent alignment.
Generative Engine Optimization (GEO) refers to optimizing for visibility within generative AI experiences such as the AI-generated summaries and answers that now appear in Google’s AI Overviews, ChatGPT, Perplexity, and similar tools.
Answer Engine Optimization (AEO) is the broadest of the three. It describes the practice of positioning your brand, content, and reputation to be selected as the source, or included in the answer, when an AI system synthesizes a response to a user query.
These are related. But they are not the same. Conflating them leads to the wrong diagnosis and the wrong strategy.
The Foundation: What SEO, GEO, and AEO All Require
Before you can layer in the newer tactics, the fundamentals have to be in place. This is where I see brands get tripped up, they want to optimize for AI answers before they’ve built anything worth citing.
Here’s what all three disciplines share:
- Technical accessibility: Machines, whether Googlebot or an LLM crawler, need to be able to crawl, render, parse, and understand your content. If your site has indexing issues, slow load times, or JavaScript rendering problems, none of the other work matters. Visibility requires accessibility.
- Clear information architecture: Pages, entities, topics, and their relationships need to be easy to map. A well-structured site helps search engines and AI systems understand what you do, who you serve, and how your content connects. Disorganized content gets deprioritized or misinterpreted.
- Content quality: Thin, vague, or generic content performs poorly across all three systems. AI systems in particular are brutal about this and they’re trained to synthesize the most useful, credible answer available. If your content doesn’t meet that bar, it doesn’t get included.
- Authority signals: Credible sources, expert content, inbound links, brand mentions, and citations still matter. Authority has always been a proxy for trustworthiness, and that logic holds in AI-generated answers.
- User intent matching: Content needs to answer what people are actually trying to solve, not what you want to say about your product. Whether someone is running a keyword search or asking an AI a nuanced question, the answer that wins is the one that most directly addresses the underlying need.
These aren’t AEO tactics. They’re sound digital marketing principles. And if they’re not already solid, everything else is built on sand.
Where AEO Changes the Game
Once the foundation is in place, there are real differences in how AI answer engines work that require a different layer of strategic thinking. Here’s what’s genuinely new:
- Rank matters differently after inclusion. In traditional search, rank is everything. In AI answer systems, the first question is whether you’re included at all. In shortlist-style responses, first still wins. In narrative answers, the quality and clarity of how you’re mentioned matters as much as the position.
- Mentions can rival links. In SEO, links are the primary authority signal. In AEO, the broader web signal matters… reviews, product comparisons, forum discussions, third-party articles, and documentation can all shape whether and how an AI system references your brand. A well-reviewed product mentioned consistently across independent sources carries weight that internal content alone can’t replicate.
- Prompts are harder to target. Keywords are typically 2-3 words. Prompts submitted to AI systems are roughly 5x longer and far more conversational. You can’t optimize a single page for a prompt the way you can for a keyword. The implication: your content strategy needs to cover topics with depth and breadth, not just target discrete search queries.
- Positioning is machine-interpreted. AI systems infer your category, competitors, use cases, and buyer fit from the broader web, not just your own site. That means your positioning isn’t just what you say on your homepage; it’s the aggregate signal across every social media profile, mention, review, and piece of third-party content about your brand.
- Reputation gets compressed. Owned content, third-party coverage, customer reviews, and broader consensus collapse into a single synthesized answer. Brands that have invested in reputation, across their own channels and external ones, tend to surface consistently. Brands that haven’t been omitted or misrepresented.
The pattern I keep seeing: Brands with strong SEO fundamentals and a track record of genuinely helpful content are the ones showing up in AI Overviews and LLM-generated answers. The infrastructure they built for Google is the same infrastructure that earns them AI visibility.
The Right Mental Model: Foundation First, Then Layer
The framing that works in practice is simple: SEO is the foundation. GEO and AEO are what you build on top of it.
That doesn’t mean SEO is sufficient on its own. The new dynamics around mentions, reputation compression, and machine-interpreted positioning require intentional work that goes beyond traditional keyword strategy. You need a content program that earns third-party coverage. You need reviews and comparisons that reflect your actual positioning. You need to think about how an AI system would synthesize your brand based on everything it can read about you, not just your own website.
But brands that try to jump straight to AEO tactics without a solid SEO foundation tend to run into the same problem: there’s nothing credible for the machine to find. You can’t earn an AI citation if your content isn’t trustworthy, well-structured, and genuinely useful to begin with.
The sequence matters. Get the foundation right. Then layer in the newer thinking. That’s where durable visibility gets built.
Frequently Asked Questions
Do I need a separate AEO strategy, or does good SEO cover it?
Strong SEO fundamentals, such as technical health, quality content, and authority signals, are the prerequisites for AEO visibility. But they’re not sufficient on their own. AEO requires additional thinking around reputation management, third-party mentions, and how your brand is represented across the broader web. Think of it as SEO-plus, not SEO-replaced.
Why are my competitors showing up in AI Overviews but I’m not?
The most common reasons are technical accessibility issues, thin or generic content that doesn’t rank as a credible source, and weak off-site authority signals. AI systems synthesize from the sources they trust most. If your site has indexing problems or your content doesn’t demonstrate clear expertise, you’re unlikely to be included, regardless of how well your AEO strategy is constructed on paper.
How do I know if my SEO foundation is actually strong enough to build on?
A few diagnostic signals: Is your content ranking for the topics you care about in traditional search? Are you earning inbound links from credible sources? Are there third-party sites, review platforms, industry publications, or comparison sites that mention and accurately represent your brand? If the answer to any of these is no, that’s where to start before investing in AEO-specific tactics.
Greg is the founder and CEO of Stryde and a seasoned digital marketer who has worked with thousands of businesses, large and small, to generate more revenue via online marketing strategy and execution. Greg has written hundreds of blog posts as well as spoken at many events about online marketing strategy. You can follow Greg on Twitter and connect with him on LinkedIn.