In short: SEO is about being found in search results. AEO is about becoming the answer itself. GEO is about being mentioned and recommended by generative AI models. The three build on each other: Without the SEO foundation the other two do not work, but the foundation alone will not make you visible in AI answers.

Why do we need three terms?

Because the way people search has changed three times. First we searched with keywords and got links. Then search engines started answering questions directly with snippets and answer boxes. Now AI platforms write complete answers where a few brands get mentioned and recommended. Each phase got its own discipline, and all three coexist today.

That does not mean you need three separate strategies. It means you need to understand what is shared and what is new, so you do not optimise for a world that is disappearing.

The terms side by side

SEOAEOGEO
The goalRank high in search resultsBecome the answer to a specific questionBe mentioned and recommended in AI generated answers
The audienceThe search engine's algorithmAnswer engines and answer boxesLanguage models like ChatGPT, Gemini and Copilot
The outcomeClicks and trafficPosition as the source of the answerRecommendations, mentions and citations
Success metricRankings, organic trafficShare of answers you ownVisibility score, share of AI answers mentioning you
Time horizonMonthsWeeks to monthsWeeks to months, depending on the initiative

What is still the same?

More than many would have you believe. Google itself has said that AEO and GEO are in practice an extension of SEO, and that matches what we see in our measurements. These things pay off in all three disciplines:

If you have worked seriously with SEO for years, you are not starting from zero. You have a foundation. The question is what you build on it.

What is actually new with GEO?

Four things separate GEO from classic SEO work, and this is where most companies have gaps:

1. The answer replaces the link

In SEO the job is done when the user clicks. In GEO the user often never reads your website. The model reads it for them and retells the content. So your content has to survive being retold: Clear claims, concrete numbers and statements that stand on their own without the surrounding context.

2. Questions replace keywords

People ask AI in full sentences and follow up with more questions. Content structured around real questions, with direct answers first, gets picked up. Content built around keyword lists does not. Our guide on AI friendly content shows how to write for this.

3. Consistency across the web

The models assemble their picture of you from many sources. If your website, directory listings, press coverage and social profiles describe you differently, the model becomes uncertain, and uncertain models do not mention you. A consistent name, description and positioning has become a ranking signal.

4. The measurement is different

You cannot read AI visibility out of Google Search Console. Knowing how often you are mentioned in AI answers requires someone actually asking the questions and recording the answers, systematically and over time. That is the job Synlig.ai does for our customers, with a visibility score and competitor ranking per topic.

What should you prioritise?

Our advice is to think in this order:

  1. Keep the SEO foundation. Do not switch off anything that works. Organic search is still a major channel, and all good SEO work supports GEO.
  2. Measure the gap. Compare where you rank in traditional search with how often AI recommends you. Many companies discover they are strong in Google and nearly invisible in ChatGPT. That gap is your opportunity.
  3. Close the holes GEO reveals. Answerable content, structured data, consistency and authority signals. Read more about the technical side in our guide on structured data for AI.

If you want the full picture first, start with our pillar guide: What is AI visibility?