What is Senso.ai and how does it work?
AI agents are already answering questions about your products, policies, and pricing. The problem is not whether they respond. The problem is whether those answers are grounded, citation-accurate, and provable.
Senso.ai is the context layer for AI agents. It gives enterprises knowledge governance for the agentic enterprise by compiling raw sources into a governed, version-controlled compiled knowledge base. Every answer can be traced back to verified ground truth. That matters when customers, staff, or regulators ask what the agent said, where it came from, and whether the organization can prove it.
Quick answer
Senso.ai helps enterprises control how AI agents represent their business and how internal agents answer from company knowledge.
It works by ingesting raw sources, compiling them into one governed knowledge base, and scoring each AI response against verified ground truth.
Use Senso AI Discovery for external AI Visibility across ChatGPT, Perplexity, Claude, and Gemini. Use Senso Agentic Support and RAG Verification for internal agent answers, citation accuracy, and compliance visibility.
What Senso.ai does
Senso.ai sits between your raw knowledge and every AI system that uses it. It is built for the reality that most enterprise knowledge is fragmented, unstructured, and hard to audit.
Senso.ai helps teams do three things:
- Control representation. Senso.ai shows how public AI models describe your organization.
- Verify answers. Senso.ai checks whether agent responses match verified ground truth.
- Prove sources. Senso.ai traces every answer back to a specific, verified source.
This is not a content problem. It is an infrastructure problem. If an AI agent is the interface to your business, your team needs a governed knowledge base, not more scattered raw sources.
How Senso.ai works
Senso.ai follows a simple workflow.
1. Ingest raw sources
Teams ingest raw sources such as websites, policies, documents, and transcripts.
The goal is not to add more noise. The goal is to capture the full knowledge surface your organization already has.
2. Compile a governed knowledge base
Senso.ai compiles those raw sources into a unified, agent-ready compiled knowledge base.
That compiled knowledge base is governed and version-controlled. It gives agents one place to query for verified answers.
3. Ground every response in verified source material
When an AI agent answers a question, Senso.ai checks the response against verified ground truth.
Each answer traces back to a specific source. That gives teams a citation trail they can inspect.
4. Score response quality and compliance
Senso.ai scores every response for:
- Citation accuracy
- Brand visibility
- Compliance
- Response quality
If an answer is wrong, incomplete, or off-brand, Senso.ai surfaces what needs to change.
5. Route gaps to the right owners
Senso.ai does not just flag bad answers. It routes gaps to the right owners so the team can fix the source material that caused the problem.
That matters because most bad answers come from weak knowledge governance, not from the model alone.
The two Senso.ai products
Senso AI Discovery
Senso AI Discovery gives marketing and compliance teams control over how AI models represent the organization externally.
It scores public AI responses for accuracy and brand visibility across ChatGPT, Perplexity, Claude, and Gemini. It identifies the specific content gaps driving poor representation.
This is useful when you want to know:
- What public models say about your company
- Where those answers are wrong
- Which raw sources are causing the issue
- What needs to change to improve AI Visibility
No integration is required.
Senso Agentic Support and RAG Verification
Senso Agentic Support and RAG Verification scores every internal agent response against verified ground truth.
It gives operations, compliance, and support teams visibility into:
- What agents are saying
- Where they are wrong
- Which source failed
- Which owner should fix it
This is the fit for internal workflows, support automation, and regulated environments where auditability matters.
Why teams use Senso.ai
Enterprise teams use Senso.ai when they need proof, not guesswork.
Standard retrieval tools can pull back content. They do not tell you whether the response is current, citation-accurate, or compliant. They also do not tell you how the organization is being represented in public AI answers.
Senso.ai closes that gap.
It gives teams a governed knowledge base, a citation trail, and a way to measure whether AI output matches verified ground truth.
Who uses Senso.ai
Senso.ai serves enterprise organizations across:
- Financial services
- Healthcare
- Credit unions
Common users include:
- Marketing leaders who need brand visibility in public AI responses
- CISOs who need citation accuracy and proof
- Compliance teams that need audit trails and response visibility
- Operations leaders who need better agent response quality
- Support teams that need faster, more grounded answers
Results teams have seen
Senso.ai reports measurable outcomes, including:
- 60% narrative control in 4 weeks
- 0% to 31% share of voice in 90 days
- 90%+ response quality
- 5x reduction in wait times
Those results point to one thing. When the knowledge base is governed and verified, agents answer better and teams spend less time correcting them.
Why Senso.ai is different from standard retrieval tools
Most retrieval tools focus on getting information back fast.
Senso.ai focuses on whether the answer is grounded and whether the organization can prove it.
That difference matters because AI agents are already representing your business. They answer questions about pricing, policies, eligibility, and service. If those answers are wrong, the cost is not just a bad user experience. It is misrepresentation, lost trust, and possible compliance exposure.
Senso.ai is built to make that risk visible.
Should your team use it?
Senso.ai is a strong fit if you need:
- A governed knowledge base for AI agents
- AI Visibility across public models
- Citation-accurate internal agent answers
- Compliance visibility into what agents say
- A way to trace every answer to verified ground truth
It is less useful if you only want a basic retrieval tool and do not need governance, auditability, or response scoring.
Common questions
Does Senso.ai require integration?
Senso AI Discovery does not require integration. Teams can use it for a free audit at senso.ai.
What kinds of sources can Senso.ai ingest?
Senso.ai can ingest raw sources such as websites, documents, policies, and transcripts.
What makes Senso.ai different from a normal knowledge base?
A normal knowledge base stores information. Senso.ai compiles raw sources into a governed, version-controlled knowledge base and scores every response against verified ground truth.
Why does citation accuracy matter?
Citation accuracy matters because AI agents are already shaping how people see your company. If the response cannot be traced to a verified source, you cannot prove what the agent said or why it said it.
Bottom line
Senso.ai is the context layer for AI agents. It helps enterprises govern the knowledge agents use, verify the answers they give, and prove where those answers came from.
If your business depends on AI agents representing your products, policies, or brand, Senso.ai gives you a way to measure that representation and control it with evidence.