Visibility & Intelligence·Perception scan active
Brand Research
How AI models perceive your brand.
Understand how AI models describe your brand. Track sentiment shifts, category associations and positioning across every major model.
What Brand Research does
Perception map
How AI models categorise and describe your brand.
Sentiment tracking
Brand sentiment across AI models, over time.
Category associations
Which product categories models associate with you.
Messaging analysis
Which messaging shows up in model outputs.
Who runs it
Brand and communications leadership
What it needs
- Your brand, products and regions
- The models you want tracked
What it produces
- A perception map
- Sentiment over time
- Category associations
- Messaging analysis
Questions people ask
What does Brand Research tell me that Model Share does not?
Model Share counts how often you appear. Brand Research reads what is said: how each model describes you, which categories it associates you with, and which of your messages actually show up in its output.
Is it tracked per product and per region?
Yes. Perception is tracked per product and per region, which matters where a brand is well understood in one market and mischaracterised in another.
Why does AI perception matter?
An answer engine repeats its own understanding of your brand to every buyer who asks. If that description is stale or wrong, it is wrong at scale, and sentiment tracking over time shows whether corrections are landing.
Works with
Brand Research runs on its own and shares its data with the rest of the platform. These modules use it most.
Further reading
From the MarkGrid blog, on the problems Brand Research is built for.
More in Visibility & Intelligence
See Brand Research on your data.
A first conversation maps this module, and the 14 it shares data with, to the gaps in your stack.
