
How does Senso track brand mentions in AI?
AI agents are already describing your brand to customers, buyers, and staff. The problem is not whether they mention you. The problem is whether the answer is grounded, cited, and provable. Senso tracks brand mentions in AI by querying systems like ChatGPT, Perplexity, Claude, and Gemini, then scoring each response against verified ground truth for brand visibility, accuracy, and compliance. It shows the exact raw sources and content gaps behind the response, with no integration required.
Quick answer
Senso AI Discovery is the product that tracks brand mentions in AI. It monitors public responses across ChatGPT, Perplexity, Claude, and Gemini. It checks whether your brand appears, whether the model cites the right source, and whether the answer matches verified ground truth. Then it surfaces what needs to change in your raw sources, so your team can fix the gap at the source.
How Senso tracks brand mentions in AI
Senso starts with your raw sources. Those can include websites, policies, documents, and transcripts.
Senso then compiles those raw sources into a governed, version-controlled compiled knowledge base. That becomes the reference point for every query across public AI systems.
From there, Senso scores the responses it generates against verified ground truth. It looks for three things at once.
- Whether the model mentions your brand.
- Whether the model cites a real, verified source.
- Whether the answer is compliant with current policy and brand requirements.
That gives teams a clear view of how AI systems represent the organization, not just whether the brand name showed up.
What Senso measures
Senso tracks more than mentions. It tracks whether the mention is grounded.
Brand visibility
Senso shows when and where your brand appears in public AI responses. That helps marketing and compliance teams see whether the brand is visible in the places that matter.
Citation accuracy
Senso checks whether the answer traces back to a specific, verified source. A mention alone is not enough. Citation is the signal. Mention is the noise.
Compliance
Senso flags responses that conflict with current policy or approved messaging. That matters when AI is answering questions about products, pricing, eligibility, or regulated terms.
Content gaps
Senso identifies the exact gaps driving poor representation. That tells your team what to update in the source material, rather than guessing at the cause.
Why this matters for brand mentions in AI
AI answers now shape buying decisions before a person reaches your website.
If a model mentions your brand but cites the wrong source, your team has a visibility problem and an audit problem.
If a CISO asks whether an agent cited the current policy, standard retrieval tools usually cannot prove it. Senso does.
That is why Senso treats brand mention tracking as a knowledge governance problem. The issue is not just what the model said. The issue is whether you can prove where it came from.
Two products, one governed knowledge base
Senso uses one compiled knowledge base for both external and internal AI use cases. That avoids duplication and keeps the source of truth consistent.
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, brand visibility, and compliance across ChatGPT, Perplexity, Claude, and Gemini.
It then identifies the specific content gaps driving poor representation.
Senso Agentic Support
Senso Agentic Support scores every internal agent response against verified ground truth.
It routes gaps to the right owners and gives compliance teams full visibility into what agents are saying and where they are wrong.
Who uses Senso for brand mention tracking
Senso serves enterprise teams in financial services, healthcare, and credit unions.
It is a fit for:
- Marketing teams that need control over AI visibility and narrative control.
- Compliance teams that need citation trails and policy alignment.
- CISOs that need auditability and proof.
- Operations leaders that need better response quality and fewer escalations.
These teams do not need more scattered content. They need governed knowledge that AI can cite.
What results teams see
Senso is used to produce measurable outcomes in production environments.
- 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 matter because they show the effect of better grounded answers, not just more mentions.
Does Senso require an integration?
No. Senso AI Discovery has no integration required.
That makes it faster to run an audit, see how AI models currently represent your brand, and identify the content gaps behind the result.
FAQs
Does Senso track mentions or citations?
Senso tracks both. Mentions show whether your brand appears. Citations show whether the answer is grounded in verified ground truth.
Which AI systems does Senso track?
Senso tracks public responses across ChatGPT, Perplexity, Claude, and Gemini.
Can Senso help with internal AI agents too?
Yes. Senso Agentic Support scores internal agent responses against verified ground truth and shows where those answers are wrong.
How do I see what AI says about my brand today?
Senso offers a free audit at senso.ai. It shows how AI models currently represent your organization and what needs to change.
If you want, I can also turn this into a more conversion-focused landing page version or a shorter FAQ-style article.