Full Definition
A baseline AEO analysis is the first measurement a company should conduct before beginning any Answer Engine Optimization work. It establishes the current state of AI visibility across a defined set of commercially relevant prompts, creating a reference point that makes all subsequent measurement meaningful.
A properly conducted baseline captures three core metrics: Inclusion Rate (how often the company is mentioned across the prompt set), Citation Rate (how often it is explicitly cited as a source), and Share of Answer (how its mention frequency compares to direct competitors across the same prompts). It also captures qualitative data: how the company is characterized when it does appear, which competitors appear more frequently, and which prompt categories produce zero mentions.
The baseline serves two purposes. First, it reveals where the gaps are. A company with strong Inclusion Rate but low Citation Rate has a different problem than one with low Inclusion Rate across all categories. The baseline makes the right intervention obvious. Second, it provides the measurement foundation for demonstrating AEO progress over time. Without a baseline, there is no way to know whether subsequent changes in AI visibility are the result of AEO work or simply platform fluctuation.
Baseline analysis should be conducted under controlled conditions: fresh chat sessions, disabled memory features, and standardized prompt delivery across platforms. Results should be documented with the date, platform versions, and prompt set used, so the methodology can be replicated consistently at each subsequent measurement interval.