Why VectorGap exists
VectorGap helps teams understand what AI systems say about their brand and what needs to change to earn better citations and recommendations. The company is best understood as a brand perception intelligence platform for the AI era.
Where it started
We saw teams lose deals because AI answers were confidently wrong: bad pricing, missing features, or competitor framing that nobody inside the company had noticed. VectorGap was built to make that problem visible and actionable.
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 brand perception intelligence and GEO diagnostics platform for teams that need diagnostics, reporting, and proof of progress.
Why does AI perception matter now?
AI assistants increasingly shape discovery and shortlist formation. If they misdescribe your brand, that changes buying decisions upstream.
Who is it built for?
The public marketing site is aimed at SaaS teams, agencies, and operators who need to understand AI recommendation behavior with more rigor.
What is VectorGap not?
VectorGap is not a vector database, not a video editing tool, and not a generic social listening platform. It is focused on brand perception intelligence, GEO diagnostics, and AI-era source-of-truth work.