Optimly tracks whether AI assistants recommend a business, what they say about it, and where that description is wrong, then works on the source material the models are drawing from.
The corrective half is what separates it from pure monitoring. Knowing an assistant describes your pricing incorrectly is only useful if something can be done about it, and the lever is the published information the model learned from rather than the model itself.
It is aimed at solo marketers and lean teams, and the pricing tiers render client-side. Nobody can guarantee what an assistant will say, answers shift with model updates outside anyone’s control, and measurement methods across this whole category are new enough to be hard to validate independently.
