What customers actually see in AI answers
best red soda to offer my spirit house, under 50 baht?
If your name isn’t there, customers don’t see you
- 1 Lucky Red
- 2 Holy Fizz
- 3 Blessed Pop
- 4 your brand?
PRAKOT · AI VISIBILITY
Why “just ask it yourself” can’t be trusted
PRAKOT · AI VISIBILITY
01 · One ask is just one sample
AI doesn’t give the same answer every time. A single prompt can be a fluke. We run the same question hundreds of times across multiple models, aggregate the results, and report how consistent the answers really are, not just what happened once.
02 · We remove account bias
Every account carries its own history and context, whether it’s a brand account or a customer’s. Rather than relying on any one account, every test starts from the same clean slate and is aggregated statistically to estimate what users, as a population, are likely to see, not what a single person happened to see.
03 · Questions customers actually ask
Customers don’t search like marketers. They ask things like “Which one is under ฿300?” or “Which brand is good?” Our question set is built from real search and buying behavior, covering the questions people naturally ask before making a purchase.
04 · Built for Thai users
Good questions start with local understanding. Every prompt is designed around Thai language, culture, and buying behavior, not translated from a different market, so it reflects how Thai consumers actually search, compare, and decide.
We don’t just ask AI. We design the whole measurement system.
PRAKOT · AI VISIBILITY
The results in your report don’t come from a handful of AI conversations. They come from a structured experimental process, systematic data collection, and analysis that shows how AI sees your brand, what drives those results, and what to do next.
01
Design the experiment
Every measurement begins with question sets built from real customer search and buying behavior. The experiment is designed to cover different scenarios while controlling factors that could skew the results.
02
Collect data systematically
Instead of relying on a single response, we run the same questions hundreds of times across multiple models. Every response, timestamp, model, and supporting metadata is recorded to build a reliable dataset for analysis.
03
Analyze what AI sees
We don’t just measure whether your brand is mentioned. We analyze response consistency, cited sources, and the factors shaping AI Visibility to understand why the results look the way they do.
04
Turn analysis into action
The findings are translated into practical recommendations, from website improvements and content strategy to citations and data sources, so you know exactly where to focus.
05
Measure again
AI is constantly changing. By repeating the same measurement over time, we verify the impact of improvements, monitor trends, and track your AI Visibility continuously.