GEO vs SEO vs AEO: what changed, and what to actually do

GEO vs SEO vs AEO is not a choice between three strategies. They are three layers of the same job: getting found when someone is looking for what you sell. SEO ranks your page in a list of links. AEO (answer engine optimization) gets your content chosen as the direct answer to a question. GEO (generative engine optimization) gets your business cited inside an AI-written answer from tools like ChatGPT and Google AI Overviews. They are stacked, not competing, and the smart move is to run all three together.

This guide explains what each layer does, how they differ, what actually changed in search behaviour, and how to run SEO, AEO and GEO as a single program rather than three disconnected projects.

Key takeaways

• GEO vs SEO vs AEO is a stack, not a choice: SEO ranks the page, AEO wins the answer, GEO gets you cited by AI.
• All three share one technical foundation, so running them together is more effective than splitting them.
• What changed is buyer behaviour, not the goal: people now read one answer instead of scanning a list.
• Start with a baseline of your AI search visibility, then fix the foundation, answer clearly, and build your entity and citations.
• The layers reinforce each other, which is why a single joined-up program beats three separate vendors.

SEO vs AEO vs GEO: the one-line difference

Before the detail, here is the whole thing in one picture.

SEO wants the click on a ranked link. AEO wants to be the single answer that is extracted and shown on top. GEO wants your brand named inside the AI’s own written answer. Same goal of being found, three different units of value: the page, the answer, the citation.

SEO: ranking a page

Classic search engine optimization is still the foundation. It is the work of making a fast, crawlable, well-structured site with content that matches what people search, so search engines rank your pages. Nothing here has gone away. A slow, thin, badly structured site loses on every layer, so SEO is table stakes, not history.

SEO covers three broad areas: technical health (speed, crawlability, mobile, schema markup), on-page content matched to search intent, and off-page authority from links and citations. Get these right and you are not only ranking pages, you are also building the exact signals that answer engines and AI engines depend on. This is why treating SEO as obsolete is the most expensive mistake in the GEO vs SEO vs AEO debate.

AEO: becoming the answer

Answer engine optimization targets the featured snippets, the “people also ask” boxes, and the voice-assistant style answers. The unit of value shifts from a ranked page to a clearly stated answer. Practically, that means writing content that states the answer plainly and early, uses clean question-and-answer structure, and carries FAQ schema so engines can lift and attribute it. If SEO is about the page, AEO is about the paragraph.

Winning at AEO comes down to a few habits: lead each section with a direct answer in the first two or three sentences, phrase your H2s as the questions people actually type, and format facts as lists, steps and tables that are easy to extract. Google’s own guidance on featured snippets is a useful reference for how the “answer” unit is chosen. These same habits are exactly what generative engines reward too, which is why AEO and GEO blur together in practice.

GEO: getting cited by AI

Generative engine optimization is the newest layer, and the one most businesses are ignoring. When an AI writes an answer, it assembles it from sources it trusts and, increasingly, names them. GEO is the work of becoming one of those trusted sources: consistent brand facts across the web (your entity), structured data, original information worth quoting, and citations on the publications and communities the models actually read. The goal is not a ranking; it is being the name the AI says.

The concept grew out of academic research on how large language models select and reuse sources, published as GEO: Generative Engine Optimization, and it has become the working name for improving your standing across ChatGPT, Perplexity, Gemini and Google AI Overviews. If you want the full walk-through, our guide on what generative engine optimization is goes deeper.

What actually changed

The behaviour changed, not the goal. Buyers used to scan a list and click. Now, for a large and growing share of questions, they read a single answer and act. That collapses the funnel: consideration happens inside the answer, before any click. If you are not in it, you were never in the running.

This is the real reason GEO vs SEO vs AEO has become a boardroom question. The channel that used to send enquiries is being rewritten. Google puts AI directly on the results page with Google AI Overviews, and millions of people now open ChatGPT or Perplexity instead of a search box. Your AI search visibility, meaning how often and how prominently you appear in these answers, is becoming as important as your blue-link rankings ever were.

A worked example: one question, three layers

Say a buyer wants a growth partner and works the problem in three moves, which is increasingly how real research happens.

First they type “best AI growth agency for SaaS” into Google. That is the SEO moment: you need a page that ranks for that query, so it appears in the list at all. If your site is slow, thin or badly structured, you are not even in the running here, and nothing downstream can save you.

Next they notice the box at the top of the results that answers “what does an AI growth agency do” directly, or they ask a voice assistant the same thing. That is the AEO moment: the engine has picked one clearly written answer to extract and show. If your page leads with a crisp, well-structured answer and carries FAQ schema, it can be the paragraph that gets lifted.

Finally they open ChatGPT or Perplexity and ask “who should I shortlist?” The engine writes a paragraph and names two or three firms with sources. That is the GEO moment: whether you appear depends on your entity consistency, your structured data, and whether you are cited on the third-party sources the model trusts. Same buyer, same intent, three different mechanics, and you needed all three to be in the shortlist.

This is why the GEO vs SEO vs AEO question is really a sequencing question, not a choosing question. Drop any one layer and the buyer slips through a gap in your coverage.

Why you run them together, not instead

The layers are not independent. Clean structure helps ranking and helps answers. A strong, consistent entity helps AI cite you and helps Google trust you. Original data earns links, wins snippets, and gives AI something concrete to attribute. Because the signals overlap, chasing the three separately wastes effort and, worse, produces contradictions when different vendors touch the same site.

That is why we build AI Search Visibility as one program covering SEO, AEO and GEO, rather than three invoices that never join up. For location-based businesses, the same logic extends to local visibility, where the map pack and AI answers reinforce each other.

How to run SEO, AEO and GEO as one program

You do not pick one. You run a single program that covers all three, in this order:

1. Fix the foundation (SEO). Speed, crawlability, clean structure, schema markup, and real content on the queries that matter. Everything else sits on this.
2. Answer clearly (AEO). Answer-first paragraphs, question-and-answer structure, FAQ and Service schema, and extractable formats like lists and tables.
3. Build your entity and citations (GEO). Consistent facts everywhere, structured data, original information worth quoting, and mentions on the sources AI engines trust.
4. Measure and compound. Track a single score across classic and AI search, double down on what works, and widen the query set as you gain ground.

How to measure across all three

Because the three layers have different units of value, measure them together with one dashboard. For SEO, track ranking keywords and organic sessions. For AEO, track featured snippets and “answer” placements won. For GEO, track share of voice in AI answers and citation counts across the engines. Rolling these into one AI Visibility Score gives you a single number to watch move, so the program stays honest and comparable month to month. Keep an eye on Bing as well, since it feeds ChatGPT and Copilot.

A 90-day plan to run all three

If you want a concrete way to start rather than a philosophy, here is a realistic first quarter that a small team can run without a large budget.

Weeks 1 to 2: baseline and foundation. Pull your 15 to 20 highest-intent buying queries and check how you appear for each across Google, ChatGPT, Perplexity, Gemini and Google AI Overviews. Record where you rank, where you are cited, and who beats you. In parallel, run a technical pass: page speed, crawlability, mobile, and a schema markup audit. This is the shared SEO foundation the other two layers stand on.

Weeks 3 to 6: answer clearly. Rewrite your most important service and money pages to be answer-first: a direct answer in the first 40 to 60 words, question-shaped H2s, FAQ and Service schema, and extractable lists and tables. Publish two or three deep, genuinely useful articles on the questions your buyers ask most. This is where AEO and early GEO gains show up.

Weeks 7 to 12: entity and citations. Make your brand facts identical everywhere they appear, from your site to directories to LinkedIn. Earn mentions on the publications, communities and comparison pages that the AI engines read in your category, and publish one small piece of original data worth quoting. Then remeasure the baseline and see what moved.

Ninety days will not make you the default answer in a competitive category, but it will move the score, prove the model, and give you a system that compounds. That is the honest promise of running SEO, AEO and GEO as one program.

Common mistakes to avoid

• Treating SEO as dead. It is the foundation for all three layers. Neglect it and nothing above it works.
• Splitting the work across vendors. Three teams touching one site produce contradictions, not compounding. Run it as one program.
• Skipping the entity layer. If your name, description and location differ across the web, AI engines lose confidence and leave you out.
• Chasing volume over depth. Thin, templated pages do not rank, do not win snippets, and are ignored by AI engines. Depth and originality are what get cited.
• Measuring only rankings. A page that ranks tenth can still be the source an AI cites. Optimise to be quotable, not just to rank.

The bottom line

GEO vs SEO vs AEO is the wrong framing if it makes you choose. SEO ranks the page, AEO wins the answer, and GEO gets you cited by AI, and they run on one shared foundation. The businesses that win are the ones that stop treating them as separate projects and run a single program that fixes the foundation, answers clearly, and builds a trusted entity.

Start with a baseline. Check where you show up across Google and the AI engines for your real buying queries, then fix the biggest gaps first. A free AI Visibility Audit is the fastest way to see exactly where you stand, and the AI Search Visibility programme is how we run all three layers together.