Your next prospect may never see your website before they shortlist vendors. According to Forrester research published on January 22, 2026, 94% of B2B buyers now use AI search as part of their research process — and most of them consider AI or conversational search a more meaningful source of information than the alternatives. This guide explains what AEO is, how AI search actually works behind the scenes, and how to think about visibility in an AI-first buying journey.
What Is AEO (Answer Engine Optimization)?
AEO, or Answer Engine Optimization, is the practice of getting your brand mentioned by AI platforms when your prospects ask them questions.
You may also see it called GEO (Generative Engine Optimization) or LLMO (Large Language Model Optimization). The names differ, but the goal is the same: be the brand the answer engine names.
For an MSP, that means showing up when a buyer asks an AI platform which providers to consider — not just ranking for a keyword.
Which AI Platforms Matter
“AI platforms” is a broad term, so it helps to be specific. The main ones to keep on your radar are:
- AI Overviews — the AI answer that appears at the top of a Google search.
- ChatGPT — still the most widely used AI platform.
- Perplexity — particularly strong for research-style queries.
- Gemini — Google’s AI platform.
- Copilot — Microsoft’s AI platform.
Get Ahead While Most MSPs Are Still Watching
AEO Builds on SEO, It Doesn't Replace It
Here’s the good news for anyone who has already invested in organic search. SEO fundamentals directly support AEO.
Good quality content helps. Being authoritative in your niche helps. A technically sound site with solid internal links, one that is easy for bots to crawl, helps too.
If you have been doing SEO well, you are not starting from zero.
How AI Search Actually Works
To influence AI answers, you first need to understand where AI platforms get their information. There are two sources.
Source 1: Training Data
This is the data used to train the model before its release. In practice, it is a snapshot of the information available on the internet — books, websites, PDF documents, social media, YouTube transcripts, and more.
The important limitation is freshness. Training data does not get updated often, sometimes only once every six months or so.
That makes it a poor channel for anything time-sensitive, like a new service line or a recent partnership.
Source 2: Real-Time Retrieval
The second source is real-time retrieval — essentially a live web search performed at the moment the question is asked. The technical term for this is Retrieval-Augmented Generation (RAG).
This is where traditional SEO helps. If your pages can be found and crawled, they can be retrieved and cited in an AI answer today, not six months from now.
Query Fan-Out: One Prompt, Many Searches
When someone enters a prompt, the AI platform does not run a single search. It breaks the prompt into several queries and runs them all at the same time, then combines the results into one answer.
Most of those queries have almost no search volume when measured through a traditional SEO lens. That is the catch: the searches deciding your visibility often would never make it onto a conventional keyword list.
How AI Visibility Is Measured
This is the mindset shift most marketing teams have to make.
Traditional SEO is measured in rankings. If you hold position three, you can reasonably expect to hold that position, or something near it, for a while.
AI visibility works differently. It is measured in probabilities. Your brand might not appear at all when a prompt is run once, then appear when the same prompt is run again.
So the right question is not “where do we rank?” It is “how often do we show up for this prompt when it is asked repeatedly?” Run the prompt many times, and the share of answers that mention you is your real visibility number.
Wrapping Up
AEO is about being mentioned, not just ranked. Understanding how AI platforms source information — training data plus real-time retrieval — and how prompts fan out into many low-volume queries gives you a realistic picture of what influences those mentions.
If you have questions about getting your MSP in front of buyers on AI platforms, get in touch — we’re happy to talk through where to start.
