Assisted recommendation measures how strongly AI endorses your brand when explicit alternatives are named in the prompt — for example choosing among four listed competitors for a defined use case.
This differs from the evoked set, where models name brands without a shortlist. Assisted results show average rank and share-of-voice across models and scenarios.
Together, assisted and evoked metrics explain whether AI merely recognises your brand when prompted or actively surfaces it in open-ended discovery.