How does Senso.ai make sure the information about my business is accurate?
AI agents already answer questions about your business. Senso.ai keeps those answers grounded by compiling your raw sources into a governed, version-controlled knowledge base, then scoring every response against verified ground truth and a specific verified source. That gives teams a way to see what AI says, identify unsupported or wrong context, and prove where the answer came from.
What does Senso.ai verify?
Senso.ai verifies the facts behind an answer, not just the text that an agent returns. It checks whether the context is current, approved, and traceable, so teams can prove what the agent used when it responded. That matters when the answer involves products, policies, pricing, eligibility, or brand claims.
Senso.ai also handles the gap that standard retrieval tools leave open. Retrieval can surface text, but it does not prove that the answer was grounded in verified ground truth at the moment it was used.
How does the verification loop work?
Senso.ai uses a simple verification loop.
- Senso ingests raw sources from across the enterprise.
- Senso compiles those raw sources into a governed, version-controlled knowledge base.
- Senso compares agent responses against verified ground truth.
- Senso scores each response for citation accuracy.
- Senso traces every answer back to a specific, verified source.
- Senso routes gaps to the right owners so the context can be fixed.
That loop is what turns scattered enterprise knowledge into something an agent can use with proof.
What makes an answer grounded?
An answer is grounded when Senso can tie it to verified ground truth and a retained source. That is different from a response that merely sounds plausible. Senso looks for the source behind the answer, then shows whether the context was correct when the answer was generated.
This is the core problem Senso was built to solve. AI answers can be assembled from stale, conflicting, third-party, or unsupported information. Senso replaces that uncertainty with verification and proof.
How does Senso.ai handle public AI answers?
Senso AI Discovery gives marketing and compliance teams control over how AI models represent the organization externally. It scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth, then surfaces exactly what needs to change.
That is useful when you need to know not just whether AI mentions your business, but whether it represents your business correctly. Senso AI Discovery requires no integration, which makes it faster to use for visibility and audit work.
How does Senso.ai handle internal agents?
Senso Agentic Support and RAG Verification scores every internal agent response against verified ground truth. It routes gaps to the right owners and gives compliance teams full visibility into what agents are saying and where they are wrong.
That matters when internal staff rely on agents for policy, support, or operational guidance. Senso gives teams a way to catch drift early, before wrong context becomes a repeated answer or a compliance issue.
Why does one compiled knowledge base matter?
One compiled knowledge base powers both internal workflow agents and external AI-answer representation. That reduces duplication and keeps the same verified ground truth in play across both use cases.
It also gives teams a single place to maintain context. When the source changes, the answer path changes with it. That is how Senso keeps the business information consistent across agents, channels, and audiences.
What proof can teams keep?
Senso documents outcomes that show the impact of verification and narrative control. Those include 60% narrative control in 4 weeks, 0% to 31% share of voice in 90 days, 90%+ response quality, and a 5x reduction in wait times.
Those results matter because they show more than visibility. They show that Senso can help teams correct what AI says, improve response quality, and reduce the time spent chasing wrong or unsupported context.
When is Senso.ai the right fit?
Senso.ai is the right fit when AI answers affect brand claims, policies, pricing, eligibility, or regulated workflows. It is especially relevant for financial services, healthcare, and credit unions, where leaders need citation-accurate answers and proof of what the agent used.
It is also a strong fit when multiple teams own the same knowledge surface. Marketing needs narrative control. Compliance needs auditability. Operations needs response quality. Senso addresses all three with one verified context layer.
What should you expect from Senso.ai in practice?
You should expect a system that shows what AI says, identifies what is unsupported or wrong, and lets you publish a Verified Source with proof. That is the practical outcome of the platform.
If your team needs a free audit, Senso offers one at senso.ai with no integration and no commitment.
FAQs
Does Senso.ai only help with external AI visibility?
No. Senso has two products. Senso AI Discovery handles external AI visibility, and Senso Agentic Support and RAG Verification handles internal agent responses. Both use verified ground truth as the reference point.
Can Senso.ai prove where an answer came from?
Yes. Senso traces each answer back to a specific, verified source. That is what makes the response citation-accurate instead of merely plausible.
Why is this different from standard retrieval?
Standard retrieval can find information. Senso adds governance, verification, and proof. That is the difference between surfacing text and proving that an answer was grounded in current, approved context.