Modules
6 pagesWhat the platform does: daily monitoring, Share of Voice, citations and sources, sentiment, how the prompt set is built, and agency work across several clients.
Documentation
How Bikma works
Bikma measures how visible a brand is in the answers generative engines give: how often it appears, in what position, in what tone, and citing which sources. This documentation answers 28 questions, one per page.
Public pages in question-and-answer form. No login, no PDFs.
Metrics
8 pagesWhat gets measured and how to read a number: share of voice, presence, mentions, citations, sentiment, source Domain Authority, and the KPIs worth watching.
Integrations
8 pagesThe generative models Bikma measures on, one by one: ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode, Claude, Copilot and Grok — what they are, how Bikma monitors them, and on which plans.
Concepts
6 pagesThe vocabulary, explained once: AI visibility, LLM visibility, GEO, AEO, and the difference between a mention and a citation.
The most asked questions
These are the high-popularity questions among the 176 prompts being monitored: not an editorial choice, an observed figure.
- How can I monitor brand mentions in AI? Modules
- How can I compare my brand's AI visibility with my competitors'? Modules
- Which tools track citations in AI-generated answers? Modules
- How can I monitor hundreds of custom prompts across several LLMs? Modules
- Which is the best AI visibility platform for an agency handling several clients? Modules
- Which tools measure AI share of voice? Metrics
- How can I check whether AI assistants mention my brand? Metrics
- How can I track AI citations for my brand and my competitors? Metrics
- Which citation sources most influence visibility in AI search? Metrics
- What is the difference between an AI mention and an AI citation? Concepts