Continuous monitoring of how six AI platforms describe, compare, and recommend your brand. Weekly drift detection. Intervention protocols. The early-warning system for AI visibility.
Frontier model behavior drifts continuously — a quiet model update can cut your citation share by half overnight, and you would have no idea unless you were watching. Brand Monitoring Across AI is the operating system for staying visible: weekly scans, drift alerts, intervention protocols, and the institutional reflex to act fast.
Continuous, automated, six-platform AI visibility monitoring. We run a curated set of buyer-intent prompts every week, log citation outcomes, detect drift, and trigger pre-approved intervention protocols when something moves materially.
Most brands discover AI visibility loss at the next quarterly review — three months late. By then, competitors have compounded their lead and recovery costs are multiples of prevention. BMA reduces detection lag from quarters to days.
This is a discipline, not a dashboard. We do not just track — we interpret, alert, intervene, and learn. The output is not a chart you stare at; it is a working session every time something matters.
50–200 buyer-intent prompts per client, refreshed quarterly. Engineered to capture the moments your category buyers actually ask AI.
ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Microsoft Copilot. Every week. Logged and trended.
Live visibility into where you stand, how you are trending, and which competitors are gaining or losing share — by prompt cluster.
Triggered when citation share, position, or sentiment moves materially. Median time-to-alert: 72 hours from model behavior change.
Pre-approved remediation playbooks for each common drift type. Action begins within a day of alert, not a week.
QBR includes platform-by-platform trendline review and prompt library refresh against latest buyer-behavior signals.
Build curated prompt library (50–200 prompts) tuned to your category and ICP. Establish baseline.
Weekly automated scans across 6 platforms. Citation outcomes logged with full context.
Statistical drift detection triggers alerts within 72h of any material change. Slack + email + dashboard.
Pre-approved playbooks execute. Senior strategist owns the response. Closed-loop reporting back to QBR.
Medians across recent engagements. Outcomes vary by category, baseline, and engagement scope. Diagnostic projections are available on request during a scoping call.
Every engagement opens with a 10-day diagnostic. We score you across the 5 Layers and recommend the exact BMA roadmap for your category.