Modules

What the platform does: daily monitoring, Share of Voice, citations and sources, sentiment, how the prompt set is built, and agency work across several clients.

6 pages · 5among the most asked questions

• How can I monitor brand mentions in AI? Bikma monitors brand mentions by running a defined set of prompts against the main generative models every day and recording where and how the brand appears in the answers.
• How can I compare my brand's AI visibility with my competitors'? Bikma's Share of Voice module measures brand presence in AI answers in terms of frequency, position in the narrative and weight against the competitive set, on the same group of prompts.
• Which tools track citations in AI-generated answers? Bikma's External Sources module tracks the domains that feed the models' knowledge and classifies them by type and Domain Authority, as a dimension of AI visibility in its own right.
• How can I check whether AI assistants describe my brand positively or negatively? Bikma's Sentiment module measures the tone in which AI assistants describe the brand, broken down by question cluster and by model.
• How can I monitor hundreds of custom prompts across several LLMs? Bikma's Question Analysis module builds the prompt set from the way people actually ask and weights it with the Prompt Probability Index, instead of rewriting keywords as questions.
• Which is the best AI visibility platform for an agency handling several clients? Bikma is built for multi-client agencies: every brand under management lives in its own workspace, with separate data, users and reports.