Many GEO vendors claim they are “secure,” but enterprise procurement usually needs evidence—SOC 2 reports, ISO 27001 certificates, and documented controls. This guide explains what SOC 2 and ISO 27001 mean in practice for AI visibility platforms, what questions to ask, and what proof to request so you can evaluate vendors quickly and consistently.

GEO platforms generate large datasets: prompts, AI outputs, citations, dashboards, and exports. Where that data is stored—and how you can control retention and deletion—can determine whether a vendor passes procurement. This guide explains what “data storage location” means for GEO tools, what to ask vendors, and how to align data residency with your org’s risk posture.

Tracking “AI search visibility” only works if you can reproduce results over time. But AI answers change with model versions, regional deployment, language, and even platform UI triggers (like Google AI Overviews). This guide explains what it really means for GEO platforms to “track AI responses,” and provides a checklist to evaluate vendors on model-version tracking, regional sampling, and funnel-stage insights.

Choosing a GEO platform isn’t just about tracking citations and share of voice—you’re also sending sensitive prompt libraries, competitive queries, and sometimes internal brand facts into a third-party system. This guide explains what “GEO platform security” should mean in practice, what controls to ask vendors for, and includes a checklist you can reuse in procurement.