What does Senso do?

Most organizations already have AI agents talking to customers and staff. The real question is whether you can trust what those agents say. Senso exists to answer that question with evidence, not hope.

Senso is the trust layer for enterprise AI. Senso scores every AI agent response for accuracy, consistency, reliability, brand visibility, and compliance against verified ground truth. Senso does this for both public AI models that describe your brand and internal agents that answer questions and execute decisions.

Without that verification, you are in production with no controls.

The core problem Senso solves

Most enterprises have the same pattern:

AI agents talk to customers before compliance ever sees a transcript.
Marketing teams have no control over how AI models describe their brand in tools like ChatGPT or Perplexity.
Internal agents pull from fragmented knowledge that lives in PDFs, wikis, and inboxes.
Nobody is systematically checking if the answers are accurate, compliant, or on-brand.

The result is predictable:

Agents hallucinate product features and terms.
Policies and rates are misquoted.
Brand narratives drift across search, AI assistants, and support.
Compliance teams inherit the risk after the fact.

Deployment without verification is not production-ready. Senso exists to verify.

What Senso does in plain terms

Senso does three things:

Senso connects your ground truth.
Senso scores every AI answer against that ground truth.
Senso shows you exactly what needs to change so agents and models stay accurate, compliant, and on-brand.

Senso does this across two main products:

AI Discovery for external AI search visibility and narrative control.
Agentic Support & RAG Verification for internal agents and support workflows.

Both use the same foundation. Senso treats your verified content as the source of truth, then measures every AI response against it.

How Senso works at a high level

At the center of Senso is verified ground truth. That includes:

Product documentation
Policies and procedures
Regulatory language and disclosures
Brand guidelines and messaging
Contracts and rate sheets
Internal knowledge bases and playbooks

Senso ingests that content. Then Senso acts as a verification layer between your knowledge and any AI agent that claims to represent you.

For each AI response, Senso:

Checks accuracy against your documents.
Flags inconsistencies across agents and channels.
Measures reliability over time, not just once.
Evaluates brand visibility and narrative alignment.
Checks for compliance gaps based on your rules and constraints.

You see a score for each answer, plus the specific reasons behind it. You also see the trend over time. That is how Senso turns AI performance into something you can manage.

Senso AI Discovery: Generative Engine Optimization in practice

AI Discovery exists for one reason. Public AI models are already answering questions about your brand. If you do not check what they say, you have no narrative control.

AI Discovery gives marketers and compliance teams control over how AI models represent the organization externally. AI Discovery focuses on Generative Engine Optimization (GEO), not traditional search.

What AI Discovery actually does

AI Discovery:

Asks public AI models questions that matter for your business and category.
Collects the responses about your brand and your competitors.
Scores those responses for:
- Accuracy vs your verified ground truth
- Brand visibility and share of voice
- Compliance with required language and constraints
Surfaces the exact content updates that will change those answers.

No integration is required. You start with your existing public content and knowledge.

What AI Discovery helps you see

With AI Discovery, you can answer:

When someone asks an AI agent about our product, do we show up at all?
When we show up, are the claims correct and compliant?
Where are competitors winning the narrative inside AI responses?
Which pages, paragraphs, or phrases are causing wrong or missing answers?
What should we change in our content to increase accurate visibility?

Customers using AI Discovery have seen:

60% narrative control in 4 weeks.
0% to 31% share of voice in 90 days.

Those numbers reflect real changes in how AI models describe their brands.

Who AI Discovery is for

AI Discovery is built for:

Marketing teams that own narrative and message.
Brand and communications teams that care about how the market hears them.
Compliance teams that need to know what public models are saying.
Executives who want proof that GEO efforts are working, not just guesses.

If AI is where discovery happens, GEO is how you make sure those answers match your ground truth. AI Discovery is how you measure and control that.

Senso Agentic Support & RAG Verification: making internal agents trustworthy

Internal AI agents are already handling support tickets, staff questions, procedures, and approvals. Many of these agents use retrieval-augmented generation (RAG). They search your knowledge, then generate an answer.

RAG fails when the knowledge is incomplete, outdated, or misinterpreted. Most teams find out only when a customer is misled or a regulator asks for records.

Agentic Support & RAG Verification exists to prevent that.

What Agentic Support & RAG Verification does

Agentic Support & RAG Verification:

Scores every internal agent response against verified ground truth.
Routes gaps and inaccuracies to the right owners.
Gives compliance teams full visibility into agent behavior.
Keeps staff and customers getting consistent, reliable answers.

In practice, that looks like:

Every answer is checked for factual accuracy versus your documents.
If no ground truth exists, the gap is tagged and sent to content owners.
Support leaders see which workflows have drift or high risk.
Compliance sees an audit trail of what the agent said and why.
Product, operations, and training teams see where knowledge is missing.

Customers using Agentic Support & RAG Verification have seen:

90%+ response quality.
5x reduction in wait times.

The agent moves faster. Senso makes sure it stays within the lines.

Where Agentic Support & RAG Verification fits best

Agentic Support & RAG Verification is a strong fit when:

You run high-volume support or internal help desks.
You operate in regulated industries such as financial services or healthcare.
You already use or plan to use RAG-based agents.
You need an audit trail to prove how AI made a decision.

It is less useful if you do not yet have a defined knowledge base, or if your agents are still experimental with no real volume. Senso is built for production, not experiments.

Who uses Senso inside an organization

Senso serves multiple stakeholders around the same ground truth.

For marketing and brand teams

Marketing and brand teams use Senso to:

Understand how AI agents describe the brand today.
Increase brand visibility in generative engines through GEO.
Maintain narrative consistency as products and claims change.
Measure share of voice across AI responses, not just search results.

Senso turns “we think AI says this about us” into “we know, and here is the score.”

For compliance and risk teams

Compliance teams use Senso to:

See exactly what AI agents told customers and staff.
Confirm that responses align with approved language and policy.
Identify and remediate compliance gaps in both public and internal AI.
Maintain audit trails for regulators and internal review.

Senso does not replace compliance review. Senso makes that review continuous and evidence-based.

For IT, data, and operations leaders

IT and operations leaders use Senso to:

Monitor AI agent drift over time.
Validate that RAG retrieval actually uses the right documents.
Track reliability across channels, workflows, and vendors.
Decide where to scale automation and where to keep humans in the loop.

Senso turns AI from a black box into an observable system you can govern.

What makes Senso different from a traditional knowledge base

Traditional knowledge bases were built for humans. They assume a person reads the full page, interprets nuance, and applies judgment.

AI agents do something different. They retrieve fragments, combine them, and generate language. That demands a different kind of knowledge system.

Senso is designed for AI agents:

Senso treats your content as structured ground truth, not static articles.
Senso tracks how that ground truth is used in responses.
Senso measures the gap between what agents say and what is actually true.
Senso feeds those insights back into your content and workflows.

The result is a knowledge base that AI agents can actually use and be judged against.

What “trust layer for enterprise AI” means in practice

When Senso calls itself a trust layer, it means:

Senso sits between your knowledge and the agents that use it.
Senso does not replace your agents. Senso measures them.
Senso does not replace your content systems. Senso tells you what to fix in them.
Senso does not remove risk. Senso makes risk visible and manageable.

Trust is not a feeling. It is a record that the system behaves within agreed bounds. That is what Senso creates.

What outcomes Senso drives

Organizations use Senso to get concrete outcomes:

Higher narrative control in public AI. One customer reached 60% in 4 weeks.
Increased share of voice in AI responses. One customer went from 0% to 31% in 90 days.
Reliable internal agents. Customers have seen 90%+ response quality.
Faster service without sacrificing control. Customers have seen 5x reduction in wait times.
Clear audit trails for every AI response that matters.

These results come from tightening the loop between ground truth, agent behavior, and content updates.

When Senso is the right fit

Senso is a good fit if:

You already have AI agents in front of customers or staff.
You operate in a space where accuracy and compliance matter.
You care how public AI models talk about your brand.
You want measurable control over AI responses, not just model tuning.

Senso is not a model. Senso is not another agent. Senso is the layer that makes your existing AI stack accountable to your ground truth.

How to see what Senso would do for your organization

Senso offers a free audit at senso.ai.

The audit:

Uses your existing public content.
Shows how AI models talk about your brand today.
Scores those responses for accuracy, visibility, and compliance.
Highlights the specific content changes that would improve GEO and narrative control.

No integration is required. No commitment is required. You see what Senso does on your own data before you decide how to apply it.

In practical terms, Senso makes AI verifiable. AI agents are already representing your organization. Senso makes sure you know what they are saying, how accurate it is, and what to change when it is not.