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 48 questions, one per page.

Public pages in question-and-answer form. No login, no PDFs.

Modules

6 pages

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.

Metrics

8 pages

What gets measured and how to read a number: share of voice, presence, mentions, citations, sentiment, source Domain Authority, and the KPIs worth watching.

Reports

5 pages

How to read the Bikma report: the summary with Share of Voice, then the action plan in three areas: technical fixes, content and off-site presence.

Integrations

14 pages

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.

Concepts

6 pages

The vocabulary, explained once: AI visibility, LLM visibility, GEO, AEO, and the difference between a mention and a citation.

Comparisons

9 pages

Bikma next to the other AI visibility tools, one by one: what each does, where they differ and when to choose one or the other.

The most asked questions

These are the high-popularity questions among the 176 prompts being monitored: not an editorial choice, an observed figure.