// TL;DR — IN ONE SENTENCE
- GEO Generative engine optimization — ChatGPT, Perplexity, Google AI Overviews
- AEO Answer engine optimization — every system that gives direct answers, not just AI
- LLMO Getting into the LLM knowledge base — how a brand is represented in the models' knowledge
Why did it become important in 2025–2026?
Before 2024, search engine optimization was one-dimensional: we optimized for Google rankings. Then three things happened almost at once:
Google launched AI Overviews (May 2024) — a synthesized AI answer at the top of the results page, before any link is visible.
ChatGPT and Perplexity have grown into genuine search competitors — millions of users now search in AI every day, not in Google.
The CTR data showed the impact: the click-through rate of the top organic result fell from 7.3% to 2.6% in a single year.
This is the context in which the terms GEO/AEO/LLMO earned their place. Not buzzwords — a description of new dimensions of search visibility.
GEO — Generative Engine Optimization
GEO (Generative Engine Optimization) is optimization for generative AI search engines — ChatGPT Search, Perplexity, Google AI Overviews, Microsoft Copilot. The goal: for the brand to appear in AI-synthesized answers, and to be presented there in the right, favorable context.
In traditional SEO, we optimize content so that Google ranks it. In GEO, we optimize so that the generative model cites it and interprets it correctly. That is fundamentally different:
- ▸ A generative model doesn't just rank — it synthesizes, paraphrases and adds context
- ▸ Having the content isn't enough — its format, structure and citability matter
- ▸ FAQ-style content that gives direct answers is far more likely to be included
- ▸ Schema.org structured data (FAQPage, HowTo, Article) improves your chances
AEO — Answer Engine Optimization
AEO (Answer Engine Optimization) is broader than GEO: it applies to any system where the user asks a question and gets a direct answer — instead of a link. This includes Google Featured Snippets, voice-based search (Siri, Google Assistant), ChatGPT and Perplexity as well.
The AEO mindset: don't compete for the click — compete for the citation. If the AI cites the answer and our brand name appears in that answer, it generates a brand-building effect even without a click.
The key difference between GEO and AEO: AEO includes the answer engines of the pre-AI era (Siri, Alexa, Featured Snippets), while GEO focuses exclusively on generative AI search engines. In 2026, AEO and GEO are increasingly merging.
LLMO — Large Language Model Optimization
LLMO (Large Language Model Optimization) focuses on how the brand features in LLMs' training data and internal knowledge representation. It's the hardest dimension to influence — but the most stable once you manage to build it.
The training data of LLMs (GPT-4, Claude, Gemini) is closed — you can't write into it directly. But the following influence how a model "knows" a brand:
What to do in 2026?
GEO/AEO/LLMO are not mutually exclusive strategies; they are parts of one unified framework. Prioritization depends on the brand and industry, but the steps below apply to everyone:
AI visibility audit
Assess how you appear today in ChatGPT, Perplexity and Google AI answers. This is the baseline without which you can't optimize.
Citable content structure
Write FAQ-style content that gives direct answers. Use FAQPage, HowTo and Article Schema.org markup.
Press and PR
Appearing in prestigious media strengthens both LLMO and GEO. In the AI era, good PR becomes a source of citations.
Narrative consistency
AI models synthesize from information scattered across the internet. If your brand's narrative is built from inconsistent and contradictory sources, the AI answer will be inconsistent too.
Questions and answers
What is GEO (Generative Engine Optimization)? +
GEO is the science of optimizing for generative AI search engines — ChatGPT Search, Perplexity, Google AI Overviews. The goal: for the brand to appear, and to be presented in a correct, favorable context, in AI-synthesized answers.
What is the difference between GEO and AEO? +
GEO focuses only on generative AI search engines. AEO (Answer Engine Optimization) is broader: it covers every direct-answer system — including traditional Featured Snippets and voice-based search.
How can AI visibility be measured? +
Systematic question querying in the main AI search engines (ChatGPT, Perplexity, Google AI, Claude), documenting brand name and keyword appearances, comparing competitors and analyzing citation share.
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// AKCIÓ ADVERTISING AGENCY
The AI Visibility Audit shows how you currently appear in AI search engines — and gives you a precise, prioritized action plan. 2 weeks, fixed price.