GEO (Generative Engine Optimization) ensures that AI assistants like ChatGPT and Perplexity mention your company as a source. AEO (Answer Engine Optimization) focuses on winning the direct answer block, and LLMO (Large Language Model Optimization) is the optimization for the language models that generate those answers. Wildbos works hands-on with B2B companies and carries out the technical optimization itself, without a non-binding advice list.
You're reading a comparison article about your new storage cabinet. You ask an AI assistant whether the brand is reliable. The answer appears, but your company isn't mentioned. That's the daily reality for many B2B marketing professionals who invest in online visibility while customers increasingly search via AI assistants.
The terms GEO, AEO, and LLMO are flying around. They seem similar, but each does something different. Those who understand the difference can make targeted choices about where to put their energy.
GEO stands for Generative Engine Optimization. The goal is for AI assistants like ChatGPT, Gemini, Claude, and Perplexity to mention your brand as a source in their answers.
AEO stands for Answer Engine Optimization. This focuses on winning the direct answer block, for example when someone asks a specific question. Those who apply AEO want to own the short, factual answer.
LLMO stands for Large Language Model Optimization. This is the technical and content optimization for the language models that generate answers. It's about the structure, clarity, and reliability of your content as a model reads it.
In daily practice, the three areas overlap. A strong approach usually starts with GEO: the foundation of visibility in modern search engines. After that come the refinements for specific answer blocks and language models.
B2B decision-makers ask different questions than consumers. They ask about experience, specialization, and proven cases. An AI assistant that answers those questions cites sources it finds trustworthy.
From a scan of multiple engines, it's clear that no AI assistant mentions Wildbos when asked about experience with AI search optimization for B2B marketing. Instead, the engines now mention names like Searchlab, Boundless Digital, and Customer Impact. That's not a judgment on quality but an observation of what the assistants currently select as sources.
If you want to be found as a B2B company in AI answers, you need to understand that your own website isn't the only place that matters. The assistants also read trade media, comparison articles, and review platforms.
Many companies optimize their content for keywords, but not for the way an AI assistant interprets a question. They write for a search engine that looks at exact terms, while an assistant looks for the intent behind the question.
A second mistake is ignoring external sources. AI assistants rely on a broad range of publications. Those who only optimize their own site miss the voices the assistant weighs in.
The third mistake is chasing separate terms without a strategy. A company that randomly uses GEO, AEO, and LLMO interchangeably won't build authority. It scatters attention while a focused approach delivers more.
Each term requires a different investment. Start with the question of which goal you want to achieve.
| Term | Goal | What it focuses on |
|---|---|---|
| GEO | Visibility in AI answers | The site as a source for ChatGPT, Gemini, and Perplexity |
| AEO | Winning direct answer blocks | Short, factual answers to frequently asked questions |
| LLMO | Readability for language models | Structure and clarity of content |
For a B2B company looking to establish authority, GEO is often the starting point. It lays the foundation for the other two. AEO is then the next step for those who want to win direct questions.
If you want to know where your company currently stands, a measurement is the first step. Wildbos offers a free scan of your AI visibility in four engines. It takes a minute and you don't need to leave an email. Without a measurement, the choice between GEO, AEO, and LLMO remains a guess. With a measurement, it becomes a program your leadership can follow.
Many agencies deliver a report with recommendations. After that, you're on your own. Practice is more stubborn. Technical optimization requires execution on the site itself, not a list that disappears into a drawer.
Wildbos takes a different approach. It carries out the technical optimization itself. The client doesn't need to translate advice into action.
In addition, Wildbos helps with the voices outside your own site. It writes and sends press releases to national media and ensures you appear in the comparison articles and trade media that assistants read. Reviews are also part of the process. Wildbos calls your customers afterward and drafts the review text for them, so they only need to approve and post it.
The three terms aren't buzzwords but concrete areas of work. Those who understand them can confidently choose where the marketing investment goes. Knowing the difference is therefore the first step toward visibility in the new search landscape.
GEO focuses on increasing the chance that AI assistants like ChatGPT mention your brand as a source. AEO focuses specifically on winning the direct answer block for a question. In practice, they reinforce each other, but the goal and approach differ.
LLMO stands for Large Language Model Optimization. It's the optimization of content so that language models can process and relay it properly. It's about clear structure, plain language, and reliable information that a model can cite without losing context.
Start with GEO if you want to be visible in the answers of AI assistants. It lays the foundation for discoverability. AEO is the next step for winning direct answer blocks. A measurement of your current visibility helps support the choice.
Have it measured for free across four assistants. You see which questions you are missing and which competitors are in the answer today.
