Our Approach
There are two kinds of AEO.
Most agencies are selling you the wrong one.
Traditional AEO helps Google find your pages.
QuestionFuel helps AI systems find your answers.
We shape your content so ChatGPT, Google AI Overviews, Gemini, and other AI systems connect your brand to the questions your buyers are already asking.
That difference matters.
Traditional AEO is built for Google's crawler. LLM-layer AEO is built for the way AI systems learn, retrieve, and answer questions directly, often without showing a search results page at all.
What does AEO actually mean in 2026?
AEO now means two very different things, depending on who's using the term.
Some agencies use it to mean better visibility in Google snippets, voice search, and FAQ results. That work can be useful, but it's still built around Google search.
LLM-layer AEO is different. It's about helping AI systems recognize your brand as a credible answer when someone asks a question in your category.
If you're paying for AEO, you should know which one you're actually getting.
Are they optimizing for a search result, or are they helping your brand show up inside the answer itself?
| Feature | Traditional AEOOptimizing pages for Google | LLM-Layer AEOEngineering brands into the answer |
|---|---|---|
| Core concept | Making your pages easier for Google to find, understand, and surface in featured snippets or voice search. Think of it as putting your content on the right shelf in the library, where the librarian can find it quickly. | Shaping your content so large language models like ChatGPT, Google AI Overviews, Gemini, and Perplexity connect your brand, expertise, and answers to the topic. The goal isn’t just to be found. It’s to be remembered as a trusted authority. |
| Key indicators |
|
|
Traditional AEO
Making your pages easier for Google to find, understand, and surface in featured snippets or voice search. Think of it as putting your content on the right shelf in the library, where the librarian can find it quickly.
LLM‑Layer AEO
Shaping your content so large language models like ChatGPT, Google AI Overviews, Gemini, and Perplexity connect your brand, expertise, and answers to the topic. The goal isn’t just to be found. It’s to be remembered as a trusted authority.
Traditional AEO
- Featured snippet placements
- FAQ schema and voice search markup
- Visibility on a search results page
LLM‑Layer AEO
- Your brand cited by name inside the AI‑generated answer
- Topic clusters that AI systems can absorb and repeat
- Visibility in training, retrieval, and inference patterns
That's the difference between being on the shelf and being remembered.
The market moved faster than the language around it. A lot of agencies are still using the older definition of AEO, even though buyer behavior has already changed.
What should you ask your current agency?
If your agency says they do AEO, ask them this:
How do you engineer content so ChatGPT cites our brand by name when a prospect asks a question in our category?
If the answer is mostly about featured snippets, voice search, or FAQ sections, they're probably doing traditional SEO under a new label.
That isn't what we do.
This isn't a takedown. Featured-snippet work is real work, and it can still matter.
It's just not the same thing.
That one question will usually tell you whether your agency is optimizing for search results or for the AI-generated answer itself.
What does QuestionFuel actually do?
We start by mapping the questions your buyers are already asking AI systems.
Then we shape your content so large language models can connect your brand to the answers behind those questions.
We build topical authority clusters that AI systems can understand, summarize, and reuse when people ask for recommendations, comparisons, and explanations in your category.
The goal isn't another ranking.
It's a citation.
Your brand name in the answer, not buried somewhere below it.
Our work draws on:
- AI citation strategy
- ChatGPT visibility patterns
- Google AI Overviews optimization
- Gemini discoverability
- Topical authority for AI systems
These are the signals that influence whether an AI system recalls your company when someone asks who to trust, who to compare, or who to consider.
Related reading on QuestionFuel
Why does this matter now?
B2B discovery is changing quickly.
Executives ask ChatGPT before they search Google. Procurement teams use Perplexity to compare vendors. Buyers read AI Overviews before they ever click through to a website.
If your brand shows up in those answers, you get considered earlier.
If it doesn't, you may be invisible to buyers who never make it to a search results page.
See what LLM-layer AEO looks like for your site
Request an AI Readiness Review and see how clearly ChatGPT, Google AI Overviews, and Gemini connect your brand to the questions your buyers are already asking.
No obligation. We'll follow up with clear next steps.