Integrations
The generative models Bikma measures on, one by one (ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, Claude, Copilot and Grok) and how to take the data out of the platform, via MCP and API.
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- How can I monitor brand visibility on ChatGPT? Bikma monitors brand visibility on ChatGPT every day, measuring mentions, citations and Share of Voice in the model's answers and comparing them with competitors'.
- How can I monitor brand visibility on Gemini? Bikma monitors brand visibility on Gemini by running the prompt set every day and measuring presence, mentions and cited sources in the model's answers.
- How can I check brand visibility on Perplexity? Bikma checks brand visibility on Perplexity by running the monitored prompts and measuring presence and, above all, the sources the model cites in its answers.
- How can I track visibility in Google AI Overviews? Bikma tracks brand visibility in Google AI Overviews every day, detecting whether and how the brand appears in the AI-generated boxes and which sources are drawn on.
- How can I monitor visibility in Google AI Mode? Bikma monitors brand visibility in Google AI Mode every day, measuring mentions, citations and sentiment in the conversational answers of this Google surface.
- How can I monitor brand visibility on Claude? Bikma monitors brand visibility on Claude by running the prompt set and measuring presence, mentions, cited sources and sentiment in the model's answers.
- How can I monitor brand visibility on Microsoft Copilot? Bikma monitors brand visibility on Microsoft Copilot by running the monitored prompts and measuring presence, cited sources and sentiment in the model's answers.
- How can I monitor brand visibility on Grok? Bikma monitors brand visibility on Grok by running the monitored prompts and measuring presence, mentions, cited sources and sentiment in the model's answers.
- How do I query Bikma's data from an AI assistant via MCP? Bikma makes its AI visibility data queryable straight from a conversational assistant through an MCP server: ask Claude, ChatGPT or another compatible client what your Share of Voice is, which sources cite you or how you stand against competitors, without opening the dashboard.
- How do I connect Bikma's MCP to my AI assistant? You connect Bikma's MCP server to your assistant by adding it to the client's connections: once it is configured, the assistant sees Bikma's tools and uses them to answer with your AI visibility data.
- Which tools does Bikma's MCP expose? Bikma's MCP exposes a set of tools the assistant calls to read your data: you query Share of Voice, mentions, cited sources and sentiment simply by asking the question, and the assistant picks the right tool.
- What is Bikma's API for? Bikma provides an API to export AI visibility data programmatically: you bring Share of Voice, mentions, sentiment and sources into your business intelligence tools, automated reports or external systems, with no manual exports.
- How do I authenticate to Bikma's API? You access Bikma's API by authenticating every request with your credentials: you get a key from your account, include it in your calls and receive AI visibility data that is already structured.
- How do I connect Bikma to Looker Studio, Power BI or Tableau? You bring Bikma's data into Looker Studio, Power BI or Tableau through the API: you build dashboards that combine AI visibility with your other marketing data and refresh reports automatically, with no manual exports.