
What problem does Senso.ai solve?
Senso.ai solves a knowledge governance problem. AI agents are already answering questions about your products, policies, pricing, and brand. The problem is that most enterprise knowledge is fragmented, unstructured, and not grounded in verified ground truth. Senso compiles those raw sources into one governed, version-controlled knowledge base so every answer can be traced, checked, and fixed.
Quick answer
Senso.ai helps enterprises make AI agent responses citation-accurate and auditable.
- If you need to control how AI represents your company externally, Senso AI Discovery is the fit.
- If you need to verify internal agent answers against policy and ground truth, Senso Agentic Support is the fit.
- If you need one compiled knowledge base that serves both use cases, Senso is built for that.
The problem Senso.ai solves
The core problem is not content volume. It is governance.
Enterprises often have knowledge spread across websites, policies, transcripts, support material, and internal systems. AI agents query that scattered surface and generate answers anyway. When the answer is wrong, stale, or uncited, most teams cannot prove why it happened or who needs to fix it.
That creates three risks:
- Misrepresentation. AI can describe the brand incorrectly.
- Liability. AI can cite outdated policy or pricing.
- Operational drift. Agents can give inconsistent answers across workflows.
Senso addresses that gap. It gives enterprises a governed knowledge base that agents can cite with confidence.
Why standard retrieval tools are not enough
Standard retrieval tools can find information. They do not govern it.
They usually fall short in four places:
| Problem | What happens without governance | What Senso does |
|---|---|---|
| Fragmented knowledge | Agents pull from disconnected raw sources | Senso compiles raw sources into one governed knowledge base |
| Unclear citations | Teams cannot prove where an answer came from | Senso traces every answer back to a verified source |
| Response drift | Answers vary across tools and workflows | Senso scores every response against verified ground truth |
| Slow fixes | Teams do not know who owns the gap | Senso routes gaps to the right owners |
This is why Senso is not a content project. It is an infrastructure problem.
How Senso works
Senso follows a simple path.
- Enterprises ingest raw sources.
- Senso compiles them into a governed, version-controlled knowledge base.
- AI responses are scored against verified ground truth.
- Senso surfaces the exact gap.
- Teams fix the source, not just the output.
That gives organizations a closed feedback loop from detection to fix to measurement.
Two ways Senso solves the problem
Senso AI Discovery
Senso AI Discovery helps marketing and compliance teams control how AI models represent the organization externally.
It scores public AI responses for:
- Accuracy
- Brand visibility
- Compliance
It works across ChatGPT, Perplexity, Claude, and Gemini. It also identifies the specific content gaps that drive poor representation. No integration is required.
Use it when you need to answer questions like:
- Are AI models describing our company correctly?
- Are our products and policies being represented in the right way?
- What content needs to change so AI gives better answers?
Senso Agentic Support and RAG Verification
Senso Agentic Support verifies internal agent responses against verified ground truth.
It helps teams:
- Score every internal agent response
- Route gaps to the right owners
- Give compliance teams visibility into what agents are saying and where they are wrong
Use it when you need to answer questions like:
- Did the agent cite the current policy?
- Can we prove the answer came from a verified source?
- Where are agents drifting from approved information?
Who Senso is for
Senso is built for enterprise teams that need proof, not guesses.
It is a strong fit for:
- Marketing leaders who care about AI Visibility and brand representation
- CISOs who need citation accuracy and auditability
- Compliance teams that need traceability and reviewable answer trails
- Operations leaders who need better response quality and fewer escalations
- Regulated industries such as financial services, healthcare, and credit unions
The measurable outcomes Senso has delivered
Senso reports results that show the impact of governance, not just better retrieval.
- 60% narrative control in 4 weeks
- 0% to 31% share of voice in 90 days
- 90%+ response quality
- 5x reduction in wait times
Those outcomes matter because they connect knowledge governance to business performance.
Why this matters now
AI agents are already the interface to your business.
They answer customer questions. They explain policies. They influence buying decisions. They represent your organization whether your team has verified the ground truth or not.
The question is not whether agents will speak for you. They already do.
The real question is whether you can prove their answers are grounded, current, and compliant.
Senso solves that problem.
FAQ
What problem does Senso.ai solve?
Senso.ai solves the gap between enterprise knowledge and AI agent behavior. It makes agent responses citation-accurate, grounded in verified ground truth, and traceable back to specific sources.
Is Senso a search tool?
No. Senso is a knowledge governance platform for the agentic enterprise. It compiles raw sources into a governed knowledge base and scores responses for accuracy, brand visibility, and compliance.
Who should use Senso.ai?
Marketing, compliance, operations, and security teams should use Senso when AI agents need to represent the organization correctly and when those answers need to be auditable.
Does Senso require integration?
Senso AI Discovery does not require integration. A free audit is available at senso.ai.
What makes Senso different from standard retrieval tools?
Standard retrieval tools find information. Senso governs it, verifies it, and shows exactly where an answer breaks from verified ground truth.
Senso is backed by Y Combinator W24 and built for enterprises that need AI answers they can prove.