How does Senso.ai support marketing teams?
AI agents are already the interface between businesses and customers. Senso.ai helps marketing teams control the context behind those answers by compiling raw sources into a governed, version-controlled knowledge base and scoring public AI responses against verified ground truth. That gives teams a way to see what AI says, what it cites, and what needs to change.
It is built for marketing, product, and growth teams whose buyers are starting to ask AI models the questions Google used to answer.
What problem does Senso.ai solve for marketing teams?
Senso.ai solves a visibility problem first. Marketing teams need to know whether AI systems are representing the brand correctly, and they need proof when they are not. Senso gives teams a way to see the gap between verified ground truth and what buyer-facing AI answers actually say.
| Marketing need | What Senso.ai does | Why it matters |
|---|---|---|
| Narrative control | Scores public AI responses against verified ground truth | Shows how the brand is being represented right now |
| Citation accuracy | Traces each answer to a specific, verified source | Gives teams proof they can stand behind |
| Fast rollout | No integration required for AI Discovery | Lets teams start without a heavy setup |
| Content consistency | Crawls pages, FAQs, and policies into structured facts | Keeps the context layer aligned with the website |
How does Senso.ai improve AI Visibility?
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. No integration is required.
Marketing teams can use Senso to check four things quickly:
- Whether the brand is mentioned in the answer.
- Whether the answer cites information the team stands behind.
- Whether competitors are being recommended ahead of the brand.
- Whether the answer includes anything inaccurate or unsupported.
How does Senso.ai build the context layer for AI answers?
Senso turns a website into a verified context layer. The Loop workflow crawls every page, FAQ, and policy on the site and turns each into structured facts. The output is a queryable compiled knowledge base scoped to the brand’s offers, audiences, and verticals.
Senso describes Loop as an eight-step automation that helps AI systems like ChatGPT, Perplexity, Gemini, and Google AI Overview cite the right context when they answer buyer questions. One compiled knowledge base powers both external AI-answer representation and internal workflow agents, so teams can use the same governed context across both use cases.
What can marketing teams do with that context?
Senso helps marketing teams find gaps before they become customer-facing problems. Teams can see what AI says, what changed, and which source needs to be updated or remediated.
That makes the work more practical for day-to-day marketing. Instead of guessing why an answer is wrong, teams can trace it back to the specific verified source that drove the response.
What results has Senso.ai reported?
Senso’s published proof points show measurable movement in narrative control and answer quality. The company cites 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 numbers matter because marketing teams usually need more than monitoring. They need a way to change the context behind the answer and prove that the change took effect.
Who is Senso.ai best for on a marketing team?
Senso is best for marketing teams that need AI Visibility, citation accuracy, and a review trail. It is a strong fit when buyers are already researching the category in AI systems and when compliance or leadership wants proof of what the model said.
The Onboarding Loop is especially relevant for marketing, product, and growth teams whose customers are asking AI models the questions Google used to answer. If your category is being researched in ChatGPT or Perplexity, that is the right starting point.
Does Senso.ai require a heavy rollout?
No. Senso AI Discovery does not require integration, and Senso offers a free audit with no commitment. That makes it practical for teams that need to assess the current state before they change content or workflow.
What is the difference between AI Discovery and Agentic Support?
Senso AI Discovery focuses on how AI models represent the organization externally. Senso Agentic Support and RAG Verification score internal agent responses against verified ground truth, route gaps to the right owners, and give compliance teams visibility into what agents are saying and where they are wrong.
That split matters for teams that also run internal assistants. One product helps with public narrative control. The other helps with internal response quality and governance.
For marketing teams, the question is not whether AI systems will answer buyer questions. The question is whether those answers are grounded, citation-accurate, and aligned with what the brand can stand behind. Senso is built to make that visible. Teams can start with a free audit at senso.ai, with no integration and no commitment.