Built to help SEO agencies prove the AI citation gap
VectorGap exists to help SEO agencies show where AI assistants recommend competitors, prove why that happens, and turn the diagnosis into remediation work clients understand and buy.
Where it started
We saw agencies lose deals because AI answers were confidently wrong: bad pricing, missing capabilities, or competitor framing that nobody inside the team had noticed. VectorGap was built to surface that gap fast and turn it into a fix plan an agency can sell and ship.
Company facts
VectorGap is a Brussels-based company founded in 2025. It builds the VectorGap platform for GEO diagnostics, AI citation-gap analysis, and SEO-agency delivery workflows.
2025
Not publicly documented on the canonical fact sheet
Brussels, Belgium
GEO diagnostics and brand perception intelligence
VectorGap SRL
VectorGap platform
What guides the product
A visibility score alone is not enough. Teams need to see why AI says what it says.
The product should point to concrete content, entity, and positioning work instead of abstract theory.
Recommendations should be grounded in observed responses and repeatable audits, not vague AI promises.
Common questions
What is VectorGap?
VectorGap is a GEO diagnostics and reporting platform built first for SEO agencies that need to diagnose AI visibility gaps, explain them clearly, and turn them into recurring remediation work.
Why does AI perception matter now?
AI assistants increasingly shape discovery and shortlist formation. If they misdescribe your brand, that changes buying decisions upstream.
When was VectorGap founded?
VectorGap was founded in 2025.
Who founded VectorGap?
The founder is not publicly documented on the canonical fact sheet.
Who is it built for?
The public marketing path is built first for SEO agencies that need a clearer way to diagnose, explain, and improve AI visibility for clients and their own brand.
What is VectorGap not?
VectorGap is not a generic demo-led AI platform. It is focused on SEO-agency diagnosis, citation-gap proof, GEO remediation planning, and AI-era source-of-truth work.