SEO vs. GEO vs. AEO: What's the Difference and Which Do You Need?

The search industry can't agree on what to call the shift happening right now. Some say SEO is dead and GEO is the future. Others argue AEO is the real term. Google's own Danny Sullivan says good SEO is good GEO. Meanwhile, Andreessen Horowitz has declared the end of SEO entirely.

The confusion is understandable. Three acronyms now compete for attention in every marketing conversation, and the boundaries between them are genuinely blurry. But the differences matter, because each one targets a different mechanism of discovery, and getting them confused leads to wasted effort.

This article breaks down what SEO, GEO, and AEO actually mean in 2026, where they overlap, where they diverge, and which combination your business needs to stay visible across both traditional and AI-powered search.

What is SEO?

Search engine optimisation is the practice of improving a website's visibility in organic search results on platforms like Google and Bing. It has been the primary method of earning unpaid traffic from search engines for over two decades, and it remains the foundation of digital discovery.

SEO works by aligning your website with the signals search engines use to rank pages. Those signals fall into three broad categories: technical health (can the search engine crawl and index your site), content relevance (does your page answer the query better than competitors), and authority (do other credible sites link to yours). When all three align, your pages appear higher in search results, which drives clicks and traffic.

The goal of SEO is straightforward: rank as high as possible for queries that matter to your business, so the right people find you at the right moment. Research from BrightEdge shows that organic search still drives 53% of all website traffic, making it the single largest source of digital discovery for most businesses.

However, the landscape SEO operates in has changed. Google's search results pages now include AI Overviews, featured snippets, People Also Ask boxes, knowledge panels, and video carousels. Ranking first no longer guarantees the same click-through rate it once did. According to Semrush, 60% of Google searches now end without a click to any website.

That shift is exactly why GEO and AEO have entered the conversation.

What is GEO?

Generative engine optimisation is the practice of optimising content so that AI-powered search systems cite, reference, or recommend your brand in their generated answers. Unlike traditional SEO, which targets a position in a list of links, GEO targets inclusion in the AI-generated text itself.

The term was first introduced in a 2023 academic paper from researchers at Princeton, Georgia Tech, and IIT Delhi. It emerged because generative AI systems like Google's AI Overviews, ChatGPT, Perplexity, and Gemini don't just retrieve web pages. They synthesise information from multiple sources and present a single, conversational answer. The question for marketers became: how do you influence what that answer says?

GEO focuses on making your content the kind of source these systems want to cite. That means structuring information clearly, building entity authority (so AI models recognise your brand as credible on a topic), and creating content formats that are easy for language models to parse and reference.

The scale of this shift is significant. Google AI Overviews now reach 2 billion monthly users across 200+ countries. ChatGPT has grown to 700 million weekly active users. AI platforms collectively generated 1.13 billion referral visits in June 2025 alone, a 357% increase from the previous year. And according to WebFX, generative AI traffic is growing 165 times faster than traditional organic search traffic.

When we work with clients at Indexed on AI SEO strategy, GEO is a core part of the approach. We've seen that brands with strong entity signals and well-structured content consistently appear in AI-generated answers, while competitors with similar domain authority but weaker content structure get overlooked entirely.

What is AEO?

Answer engine optimisation is the practice of structuring content so that search platforms and AI systems can extract and present it as a direct answer to a user's question. While GEO focuses on being cited within a generated narrative, AEO focuses on being selected as the definitive answer.

AEO actually predates GEO by several years. It originally referred to optimising for Google's featured snippets (the answer boxes that appear above organic results) and voice search responses from assistants like Siri, Alexa, and Google Assistant. When a user asks "what is domain authority?" and Google displays a paragraph answer at the top of the page, that's AEO at work.

Forbes has argued that the industry should stop using the term GEO and call it AEO instead, since the underlying principle is the same: structuring content so machines can understand, reference, and recommend your brand. There's merit to that argument. The practical tactics overlap significantly.

Where AEO differs from GEO in practice is in its emphasis on concise, extractable answers. AEO content tends to be formatted as clear definitions, numbered steps, or direct question-and-answer pairs. The goal is to be the single best answer to a specific question, not to be one of several sources woven into a longer AI narrative.

AEO is particularly relevant for voice search, where the device reads one answer aloud, and for featured snippets, where Google selects one source to display prominently. It's also increasingly relevant for AI Overviews, where 88% of triggering queries are informational in nature, meaning users are asking questions that demand direct answers.

How do SEO, GEO, and AEO compare?

The simplest way to understand the relationship is through what each discipline optimises for. SEO is a ranking game: your goal is to appear as high as possible in a list of results. AEO is a selection game: your goal is to be chosen as the single best answer. GEO is a citation game: your goal is to be referenced as a credible source within an AI-generated response.

Dimension	SEO	GEO	AEO
Primary goal	Rank high in search results	Get cited in AI-generated answers	Be selected as the direct answer
Target platforms	Google, Bing organic listings	AI Overviews, ChatGPT, Perplexity, Gemini	Featured snippets, voice search, AI answer boxes
Success metric	Ranking position, organic traffic, CTR	AI citation share, brand mentions in LLM output	Featured snippet ownership, position zero
Content format	Long-form, keyword-optimised pages	Structured, entity-rich, citation-worthy content	Concise definitions, Q&A pairs, numbered lists
Key signals	Backlinks, technical health, relevance	Entity authority, content structure, source credibility	Schema markup, direct answers, question matching
Time horizon	Established (20+ years of practice)	Emerging (coined 2023, rapidly evolving)	Maturing (5+ years, expanding with AI)

All three share a common foundation. You cannot succeed at GEO or AEO without strong SEO fundamentals. If your site isn't crawlable, your content isn't indexed, or your domain lacks authority, neither AI systems nor answer engines will reference you. As search influencer Will Scott put it: GEO is "just SEO if you've been doing good SEO."

Where do GEO and AEO overlap?

In practice, the line between GEO and AEO is thin. Both disciplines aim to make your content machine-readable and authoritative enough to be surfaced by AI systems. Both benefit from structured data, clear formatting, and strong topical authority. Some practitioners, including those at Profound, argue they are functionally the same thing.

The overlap is real, but the distinction still matters for strategy. AEO tactics like writing concise definitions and implementing FAQ schema help you win featured snippets and voice search results today. GEO tactics like building entity authority and creating citation-worthy data help you appear in AI Overviews and ChatGPT responses. A page optimised for AEO might win a featured snippet but not get cited in an AI Overview if it lacks the depth and authority signals that generative models look for.

The most effective approach treats them as two layers of the same strategy. AEO handles the extraction layer (making your content easy to pull as an answer), while GEO handles the authority layer (making your brand credible enough to be cited in a synthesised response).

Why the "SEO vs. GEO" debate misses the point

Search Engine Land published a comprehensive analysis arguing that the entire SEO vs. GEO framing is a false choice. Their argument is compelling: visibility has fragmented across multiple surfaces, and treating SEO and GEO as competing priorities leads to incomplete strategies.

The reality is that your potential customers don't stay on one platform. They might Google a comparison, ask ChatGPT for a recommendation, watch a TikTok review, and read a Reddit thread before making a decision. Each of those touchpoints involves a different discovery mechanism. SEO handles the Google ranking. GEO handles the ChatGPT citation. AEO handles the featured snippet. But they all serve the same goal: making sure your brand is visible when someone is looking for what you offer.

WIRED reported that citation overlap between traditional search engines and AI engines has fallen to around 20%, down from roughly 70% previously. That means the sources AI systems cite are increasingly different from the sources that rank highest in Google. If you only optimise for one, you're invisible on the other.

The answer isn't to choose between SEO and GEO. It's to build an integrated visibility strategy that covers all discovery surfaces. At Indexed, we call this the Full-Stack Search Method, because it treats search as a single system with multiple outputs rather than separate channels competing for budget.

Which do you actually need?

Every business needs SEO. That hasn't changed. Without technical health, crawlability, and domain authority, nothing else works. The question is how much additional investment GEO and AEO require on top of your SEO foundation.

The answer depends on your audience and their search behaviour. If your buyers research decisions using AI tools (and increasingly, they do: 35% of Gen Z in the US already use AI chatbots as their primary search method), then GEO is not optional. If your industry involves questions with clear, definitive answers (pricing, definitions, comparisons), then AEO directly impacts whether you capture that demand or a competitor does.

For most growth-stage businesses in 2026, the right approach is layered. Start with SEO as the foundation. Layer AEO tactics into your content structure (clear definitions, FAQ sections, schema markup). Then build GEO authority through entity signals, original data, and citation-worthy content formats.

Business type	SEO priority	GEO priority	AEO priority
B2B SaaS with long sales cycles	High — drives top-of-funnel discovery	High — buyers use AI for vendor research	Medium — less voice search, more comparison queries
E-commerce / DTC brands	High — product and category rankings	Medium — AI product recommendations growing	High — product specs, pricing, "best X" queries
Professional services (legal, finance)	High — local and national visibility	High — AI answers dominate informational queries	High — definitions, regulations, "how to" questions
Local businesses	High — Google Maps and local pack	Low-Medium — AI local search still emerging	Medium — voice search for "near me" queries
Media and publishers	High — traffic is the business model	Critical — AI citation replaces clicks	High — featured snippets drive significant traffic

How to build an integrated SEO, GEO, and AEO strategy

The most effective approach doesn't treat these as three separate workstreams. It builds one content and technical strategy that satisfies all three simultaneously. Here's what that looks like in practice.

Start with technical SEO as the foundation

Nothing works without a crawlable, fast, well-structured website. Ensure your site passes Core Web Vitals, has clean internal linking, uses proper schema markup, and maintains a logical site architecture. This is the infrastructure that both search engines and AI systems depend on to discover and trust your content. If you're unsure where you stand, an SEO audit is the right starting point.

Structure content for extraction and citation

Write with both humans and machines in mind. Use question-format H2 headings that match how people search. Open each section with a direct answer before expanding. Include definition boxes for key terms, comparison tables for complex topics, and numbered lists for processes. This structure serves AEO (easy to extract as a snippet), GEO (easy for AI to parse and cite), and SEO (clear topical signals for ranking) simultaneously.

Build entity authority

AI systems don't just look at individual pages. They assess whether your brand is a credible authority on a topic. Publish consistently within your expertise areas. Earn editorial backlinks from recognised sources. Maintain accurate information across your website, social profiles, and third-party listings. Over time, this builds the entity signals that make AI models more likely to cite you.

Create original, citation-worthy data

Generative AI systems prefer to cite sources that contain original data, unique research, or expert perspectives that can't be found elsewhere. Publish original statistics, case study results, survey findings, or industry benchmarks. When we publish data from our client work at Indexed, those data points consistently appear in AI-generated answers because they offer something the model can't synthesise from generic sources.

Implement comprehensive schema markup

Structured data helps both search engines and AI systems understand your content. At minimum, implement Article schema, Author schema, FAQ schema, and Organisation schema. For specific content types, add HowTo, Product, or LocalBusiness schema as relevant. This structured layer makes your content more accessible to every type of search system.

What does this mean for SEO budgets?

The good news is that GEO and AEO don't require entirely separate budgets. Most of the work overlaps with what a strong SEO programme already does. The incremental investment is in content structure (formatting for extraction and citation), entity building (consistent authority signals), and measurement (tracking AI citations alongside traditional rankings).

According to Semrush, AI search traffic may surpass traditional search traffic by 2028. Businesses that start building GEO and AEO capabilities now will have a compounding advantage. Those that wait will face the same catch-up problem that companies face when they delay SEO investment: the cost of inaction compounds over time.

The shift doesn't require abandoning what works. It requires expanding your definition of visibility to include every surface where your audience discovers information. That's not a revolution. It's an evolution, and the businesses that evolve first will own the most valuable positions across both traditional and AI-powered search.

FAQ

What is generative engine optimisation (GEO)?

Generative engine optimisation is the practice of optimising your content so that AI-powered search systems like Google AI Overviews, ChatGPT, and Perplexity cite or reference your brand in their generated answers. It focuses on content structure, entity authority, and creating information that language models consider credible enough to include in their responses.

What is the difference between SEO and GEO?

SEO optimises for ranking positions in traditional search engine results pages. GEO optimises for being cited within AI-generated answers. SEO success is measured by ranking position and organic traffic. GEO success is measured by citation share and brand mentions in AI outputs. Both share the same foundation of technical health and content quality, but GEO places greater emphasis on entity authority and structured, citation-worthy content formats.

What is AEO in SEO?

Answer engine optimisation (AEO) is the practice of structuring content so that search platforms can extract and present it as a direct answer to a user's question. It originally focused on featured snippets and voice search, but now extends to AI answer boxes and AI Overviews. AEO emphasises concise definitions, question-and-answer formatting, and schema markup to help machines identify and select your content as the best answer.

Do I need a separate GEO strategy from my SEO strategy?

Not entirely. Google's own representatives have confirmed that good SEO practices align with what AI systems look for. However, GEO does require additional emphasis on entity authority, content structure for AI extraction, and original data that AI models want to cite. The most effective approach integrates GEO tactics into your existing SEO strategy rather than treating them as separate workstreams.

How do I get my website to show in Google AI Overviews?

Focus on creating comprehensive, well-structured content that directly answers the questions your audience asks. Use clear headings, include original data or expert perspectives, implement schema markup, and build topical authority through consistent publishing. Pages that already rank well in organic search have a higher chance of being cited in AI Overviews, since 88% of AI Overview triggers are informational queries where Google looks for authoritative, well-structured sources.

Does ChatGPT use my website for answers?

ChatGPT can reference your website's content when generating answers, particularly if your site is well-established, contains original information, and is recognised as authoritative on the topic. ChatGPT's search feature actively crawls and cites web sources. Building strong entity signals, publishing original research, and maintaining consistent information across your web presence increases the likelihood of being referenced.

Is traditional SEO still worth investing in?

Yes. Organic search still drives 53% of all website traffic, and SEO provides the technical and authority foundation that makes GEO and AEO possible. AI systems heavily favour sources that already perform well in traditional search. The businesses seeing the best results in AI search are those with strong existing SEO programmes, not those who abandoned SEO in favour of GEO.

What we covered

SEO, GEO, and AEO are three layers of the same visibility challenge. SEO handles discovery through traditional search rankings. AEO handles extraction as the direct answer to specific questions. GEO handles citation within AI-generated responses. None replaces the others, and the most effective strategy integrates all three.

The data is clear: AI search is growing rapidly, but traditional search isn't disappearing. Businesses that build an integrated approach, starting with strong SEO fundamentals and layering in AEO structure and GEO authority, will capture demand across every surface where their audience looks for information.

If you want to understand where your brand currently stands across traditional and AI search, talk to an Indexed strategist about an AI visibility assessment.

Related reading

Continue exploring this topic with these related articles from Indexed:

• Are AI Overviews Killing Organic Clicks? | The Data
• How AI Search Is Reshaping Brand Visibility Online
• Generative Engine Optimisation (GEO) | AI Era Guide
• Is Traditional SEO a Risk in the AI Era? | Find Out