BAX FOR AI
Other tools tell you if AI mentions your brand. BAX tells you if anyone actually pays attention when it does, which sources shape AI's opinion, and exactly how to change both.
Every competitor stops at Layer 1. BAX runs all four.
Most brands start by asking a simple question: does AI mention us?
AI model variants accessible
ChatGPT, Gemini, Claude, Perplexity, Grok, Copilot, Llama, Mistral, and hundreds more. Different models give different answers. Different versions of the same model give different answers. BAX captures every difference.
But visibility alone means nothing. A brand can appear in every AI response and still be ignored. The question that matters is whether the human reading that response actually paid attention.
BAX applies the Behavioral Biometrics Engine® to measure real cognitive attention on AI-generated content. Who reads the response. How deep they go. Which reader segments engage with your mention.
of attentive users reached by a brand mentioned first
reached when mentioned last. Position changes everything.
Once you know where you are visible and where humans pay attention, the next question is why. AI doesn't invent opinions. It inherits them from sources: your website, Wikipedia, review sites, industry portals, news articles, competitor content.
BAX maps the complete source ecosystem that shapes what AI believes about your brand. Trust Sphere shows which domains AI cites, how often, in what sentiment, and how your owned properties rank against external sources. If a competitor's blog outranks your official site in AI citations, that is not an AI problem. That is a source problem. And now you can see it.
Seeing the problem is not enough. BAX generates ready-to-deploy correction packages for both your owned media and external sources. Structured data for your website. Knowledge base files for AI crawlers. Entity entries for Wikidata. Correction briefs for publishers citing wrong information.
Every fix targets the specific source that AI relies on. Deploy the changes, run the next audit, see exactly which fixes moved the needle. The loop closes.
ACCURACY
Typical first audit finds 5-15 critical factual errors across platforms. Wrong manufacturer, wrong founding date, wrong product portfolio. Each flagged with the exact AI response, the model, and the severity. For pharma and finance, this is not a feature. It is a requirement.
COMPETITION
BAX auto-detects competitors and benchmarks them alongside you. Share of voice, battle map per query, win/loss per model. You see not just whether you appear, but who AI recommends instead, which sources give them the advantage, and what it would take to change the outcome.