Can't we just use ChatGPT or Claude for location intelligence?
Three problems with that approach. First, every travel itinerary, GPS position, or personnel location you paste into a public LLM leaves your governance boundary the moment it hits the API — with no verifiable audit trail. Second, general LLMs hallucinate geography. They can't monitor dozens of locations persistently, can't access social channels or local-language platforms where ground-level intelligence actually lives, and can't push a structured alert when something material changes. Third, you're locking into token pricing with no hedge. GeoSure's MCP architecture keeps your data inside your own infrastructure, delivers purpose-built geographic intelligence that no public LLM can replicate, and stays model-agnostic — swap the underlying AI without rebuilding a thing
Why buy GeoSure instead of building our own travel safety capability?
Developed by a national security systems engineer and a Columbia University research scientist — this isn't a data feed you can license or a model you can prompt-engineer. It's 12 years of methodology across 200+ countries, continuously updated, and ISO 31030-ready out of the box. Building it yourself takes a decade.
How do I integrate it?
1. Point your AI tool to GeoSure. One endpoint: serve.geosure.ai/mcp — nothing else required.
2. No code. No IT ticket. No new software. Works with Claude, ChatGPT, and any AI tool that supports MCP.
3. Live in under five minutes. Ask your first question about any location on Earth.
What does it cost?
Today's risk intelligence platforms charge $100k+/year for country-level PDFs. We charge a fraction of that for neighborhood-level intelligence, delivered instantly to the AI tools you already use.
Book a 10-minute call — we’ll give you a number based on your enterprise’s use case in the first conversation.