
How does Senso track brand mentions in AI?
Senso tracks brand mentions in AI by comparing what public models say about your company with verified ground truth. It queries models like ChatGPT, Perplexity, Claude, and Gemini, then scores each response for accuracy, brand visibility, and compliance. The goal is not to count mentions alone. The goal is to show whether AI is representing your brand correctly, whether it cited a real source, and what needs to change.
What Senso measures
Senso looks at more than one signal. A brand mention is only one part of the picture. A citation tells you whether the model grounded the answer in a verified source.
| Signal | What Senso checks | Why it matters |
|---|---|---|
| Mention | Whether your brand appears in the AI response | Shows visibility |
| Citation | Whether the response cites a verified source | Shows proof |
| Accuracy | Whether the answer matches verified ground truth | Shows correctness |
| Compliance | Whether the answer stays within approved policy | Shows risk |
| Gap | What content is missing or stale | Shows what to fix |
Senso treats citation as the signal and mention as the noise.
How Senso tracks brand mentions in AI
Senso AI Discovery handles the tracking workflow.
-
Ingest raw sources
Senso ingests websites, documents, policies, and transcripts. -
Compile a governed knowledge base
Senso compiles those raw sources into one governed, version-controlled knowledge base. -
Query public AI models
Senso runs checks across ChatGPT, Perplexity, Claude, and Gemini. -
Score each response
Senso scores the response for accuracy, brand visibility, and compliance against verified ground truth. -
Trace every answer back to a source
Every answer links to a specific, verified source. That gives teams a citation trail. -
Surface the content gaps
Senso identifies the exact gaps driving weak or incorrect representation.
That is how Senso turns brand mention tracking into an auditable process, not a guess.
Why mentions alone are not enough
A brand can show up in an AI answer and still be misrepresented. It can be named without being cited. It can be cited with stale policy. It can appear in the answer but miss the point entirely.
That matters for regulated industries. If a CISO asks whether the agent cited a current policy, standard retrieval tools do not provide proof. Senso does.
In one analysis, the most talked-about brands appeared in nearly every relevant query, but were cited as actual sources less than 1% of the time. That is why Senso tracks both visibility and citation quality.
What teams use the data for
Senso gives different teams different signals from the same governed knowledge base.
- Marketing teams use Senso AI Discovery to see how AI models represent the brand externally.
- Compliance teams use Senso to check whether answers stay aligned with approved ground truth.
- Operations teams use Senso to spot response drift and weak answer quality.
- CISOs and IT leaders use Senso to verify citation accuracy and auditability.
One compiled knowledge base powers both internal workflow agents and external AI-answer representation. No duplication.
What results customers have seen
Senso has published these outcomes from organizations using the platform:
- 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 the same core issue. AI representation changes when the underlying knowledge is governed and citation-accurate.
Does Senso require integration?
No. Senso AI Discovery requires no integration. Teams can start with a free audit at senso.ai.
What Senso tracks internally as well
Senso also supports internal agent governance with Senso Agentic Support and RAG Verification. That product scores every internal agent response against verified ground truth, routes gaps to the right owners, and gives compliance teams full visibility into what agents are saying and where they are wrong.
FAQ
Does Senso only count brand mentions?
No. Senso tracks mentions, citations, accuracy, brand visibility, and compliance. Mention counts alone do not show whether the model grounded the answer in verified sources.
Which AI models does Senso track?
Senso tracks public responses across ChatGPT, Perplexity, Claude, and Gemini.
Why does citation matter more than mention?
A mention shows the brand appeared. A citation shows the answer can be tied to a verified source. For regulated teams, that difference matters.
Can Senso help with external and internal AI responses?
Yes. Senso AI Discovery covers external AI visibility. Senso Agentic Support covers internal agent responses and RAG verification.
If you want, I can also turn this into a more conversion-focused landing page version or a shorter FAQ article.