The past two years brought a flood of new acronyms into marketing conversations. SEO everyone knows. AEO resurfaced with voice assistants and came back harder with LLMs. GEO is the newest entry. And now all three keep appearing in the same discussions — sometimes as synonyms, sometimes as competing frameworks.
They're not synonyms. And they're not really competing, either.
Here's a clear-eyed look at what each term means, where they overlap, and when to prioritize which.
SEO: the foundation that's shifting under everyone's feet
Search Engine Optimization is the practice of optimizing content and technical attributes so a website ranks well in traditional search engines like Google and Bing.
The fundamentals haven't changed: domain authority, semantic relevance, technical structure, quality backlinks, user experience. What has changed is the environment in which SEO operates. Google today answers many queries directly — through AI Overviews, featured snippets, and other zero-click formats — before showing a list of links. Users often read the answer and never scroll to the results.
That doesn't kill SEO. But it does change what "ranking well" means in practice, and it makes the relationship between SEO and the two acronyms below more important than ever.
AEO: optimizing to be the answer, not just a result
Answer Engine Optimization is the practice of structuring content so it gets used as a direct response — whether by a Google featured snippet, a voice assistant, or an AI that generates text.
Where classical SEO competes for a position in a ranked list, AEO is about getting your content extracted as the answer itself. That requires a different kind of writing:
- Direct declarative statements that answer specific questions without hedging.
- Predictable structure: H2s that mirror real questions; explicit definitions near the top of sections.
- Schema markup: structured data that signals to crawlers what a block of content represents (FAQ, HowTo, Article, Organization, Product).
- Topical authority: the right answer from the wrong domain doesn't get extracted.
AEO gained momentum during the voice assistant era (Alexa, Google Assistant, Siri) and has become more urgent with LLMs. When someone asks ChatGPT "what's the best tool for X?", that answer comes from somewhere — and the whole point of AEO is to make that somewhere be your content.
GEO: visibility inside generative responses
Generative Engine Optimization refers specifically to the practices aimed at getting a brand, product, or URL cited or recommended by LLMs — models like ChatGPT, Claude, Gemini, or Perplexity.
GEO acknowledges a fact that's easy to miss: the citation logic of these models doesn't map neatly onto Google rankings. A site that ranks #1 for a query can be completely absent from an LLM's response. A moderately-trafficked site that's well-cited in authoritative sources might show up consistently.
The reason is structural. LLMs don't follow links — they synthesize information from sources that were part of training data or that are retrieved via RAG (Retrieval-Augmented Generation) in real time. Sources like Wikipedia, official documentation, academic publications, and high-authority industry sites tend to carry more weight — regardless of where they rank on Google.
GEO practices therefore focus on:
- Canonical source presence: being cited in wikis, public repositories, sector-specific publications.
- Information consistency: what different sites say about your brand should align. LLMs build their picture of a brand by aggregating what's publicly available.
- Localized prompts: what an LLM says about your brand can vary significantly by language and country. That's an operational reality, not a minor detail.
- Sentiment and accuracy monitoring: is the AI saying correct things about you? Is it recommending competitors when it should be mentioning you?
The differences that matter
The layers interact. A site with strong SEO usually has better-structured content, which helps with AEO. Well-written AEO content tends to be clearer and more authoritative, which benefits GEO. These aren't parallel tracks — they stack.
When each one should be your focus
If the question is "where do I start?", it depends on where you are:
Start with SEO if you have limited domain authority or if most purchase journeys in your market begin with a Google search. Without a solid technical and content foundation, the other two layers are fragile.
Add AEO alongside SEO when you're producing content that answers specific questions — product pages, comparisons, how-to guides, explainers. It's mostly a question of structure, not additional volume.
Prioritize GEO when your brand has decent Google presence but LLMs don't mention it — or mention it incorrectly. That's a gap SEO alone won't close. The discovery channel is different; the optimization has to be too.
The more useful question
The three-way split is a useful framework — but the most practical question isn't "should I do SEO, AEO, or GEO?" It's: where are my potential customers when they're looking for what I offer?
If they're using ChatGPT to ask for tool recommendations, agency suggestions, or product comparisons — and your brand doesn't appear in those answers — you have a GEO problem, not an SEO one. Fixing your title tags won't help.
Genoma was built to make this visible: tracking when and how ChatGPT, Claude, and Gemini mention your brand, comparing that against competitors, and identifying what needs to change to improve AI Visibility. If you don't know where you currently stand in LLM responses, that's worth finding out.
The acronyms will keep multiplying. What matters is knowing what each one actually measures — and what it doesn't.