BIKMA.
Brand Insight Knowledge Mapping Analytics: the AI Visibility platform with the academically validated method, to measure and improve how your brand exists in AI answer engines.
Developed with the University of Pisa and the collaboration of the University of Insubria, cited at The Web Conference, applied in over 200 enterprise projects. Available as a self-serve platform at bikma.ai, for those who run it autonomously, and as an end-to-end managed project with Fortop, for large companies.
AI visibility is played on the questions, not just on the answers.
If the set of questions you measure against is arbitrary, every number you build on top is arbitrary. BIKMA doesn’t rewrite keywords as questions: it reconstructs the market’s real questions from the literature on information behaviour and actual public conversation.
It samples every intent with multiple formulations and weights each question with the Prompt Probability Index — a declared probability, not an observed volume. It’s the only ground where you compete on merit, and it’s the reason why we publish the criterion behind how the questions are generated.
What BIKMA measures.
Five modules, one scientific methodology. Here is the big picture: module details, live data and the complete methodology live on the platform.
Question Analysis
The real market’s questions, in branded and non-branded clusters, weighted with the Prompt Probability Index.
Share of Voice
Brand presence in answers, across frequency, position and weight on the competitive set.
External Sources
The domains that feed the model’s knowledge, by type and domain authority.
Sentiment
The tone of the answers, by cluster and by model.
Fact Checking
Consistency between what the AI says about the brand and the official website.
How you ask matters more than what you ask.
A model’s answer changes far more when you rephrase the question than when you repeat it verbatim. That’s why BIKMA uses multiple versions of the same question and aggregates by intent, not by single sentence: it’s the difference between measuring a market and measuring a sentence.
It’s a verifiable method: published, developed with the University of Pisa and with the collaboration of the University of Insubria, cited at The Web Conference. Not a “proprietary model” to trust on faith.
Complete scientific evidenceMonitored models
ChatGPT, Google AI Overview, Google AI Mode, Perplexity, Claude, Gemini, Microsoft Copilot, Grok.
The platform measures. Fortop turns measurement into decisions.
On bikma.ai you find daily data, guided documents and ready-to-share reports. Data alone is not a strategy.
If you are a large company and want an end-to-end managed project, with Fortop the number becomes an action plan: we define the scope and competitive set, we interpret results with senior analysts, we build the activation roadmap and execute it in managed service. The three business units — Market Mapping, Data Collect, Project Activation — work on the same cycle.
The consultant who signs the strategy is the same one who runs it: no handovers, no rotating account managers. Monthly reporting, quarterly governance, annual plan redesign.
Consulting-grade analyses on demand, beyond the platform modules: brand knowledge graph and associations, knowledge drift at every new model release, multi-country mapping to comparable specifications.
Let’s talk about your project.
If you’re a large company and want to make your brand exist better in AI answer engines with a managed project, let’s start with a conversation about your scope. If instead you want to run the platform on your own (SME, agency or in-house team), the free trial on bikma.ai is the fastest starting point.