AI Search Optimization
How does Senso track brand mentions in AI?
4 min read
AI systems already answer questions about your brand before a prospect reaches your site. Senso tracks those mentions by querying major AI models, comparing the response to verified ground truth, and scoring whether the brand was mentioned, cited, and represented correctly. That gives teams a clear view of AI Visibility, not just a count of names in a response.
Senso AI Discovery does this for public AI responses. It checks how ChatGPT, Perplexity, Claude, and Gemini describe your brand. It then surfaces the content gaps that drive weak or incorrect representation. No integration is required.
The tracking model
Senso starts with your raw sources. These can include websites, policies, transcripts, and other enterprise content.
Senso compiles those raw sources into one governed, version-controlled knowledge base.
Senso then queries the major AI systems that customers already use.
Senso scores each response against verified ground truth for accuracy, brand visibility, and compliance.
Senso traces every answer back to a specific verified source. When the source trail is missing or weak, Senso shows the gap.
What Senso measures
| Signal | What Senso checks | Why it matters |
|---|---|---|
| Mention | Whether the model names your brand | Tells you if the brand appears at all |
| Citation | Whether the model points to a verified source | Supports auditability and proof |
| Accuracy | Whether the statement matches verified ground truth | Protects against wrong representation |
| Brand visibility | How often and where the brand appears | Shows external AI presence across models |
| Compliance | Whether the answer follows approved policy | Reduces regulatory exposure |
A mention without a citation is weak evidence. A citation without verified ground truth is not enough either. Senso checks both.
Why this matters
AI mentions are easy to miss and hard to prove. A brand can be named in a response and still be wrong, out of date, or unsupported. That is why Senso focuses on citation-accurate answers. The question is not just whether the model mentioned you. The question is whether it can prove what it said.
In regulated industries, that difference matters even more. Financial services, healthcare, and credit unions need clear source trails. They need to know which raw source informed the answer and whether the answer still matches current policy.
Who uses it
- Marketing leaders use Senso AI Discovery to see how AI models represent the brand externally.
- Compliance teams use it to spot mismatches between public answers and verified ground truth.
- CISOs and IT leaders use it to check whether responses are citation-accurate and auditable.
- Operations leaders use it to find gaps that cause wrong answers and slower response times.
Senso serves enterprise organizations across financial services, healthcare, and credit unions. The goal is simple. If AI already represents your business, you need a way to prove what it said.
Reported outcomes
Organizations using Senso have reported:
- 60% narrative control in 4 weeks
- 0% to 31% share of voice in 90 days
- 90%+ response quality
- 5x reduction in wait times
These results reflect teams that compiled their knowledge into one governed source and used Senso to measure what AI systems were saying against that ground truth.
Common questions
Does Senso need an integration?
No. Senso AI Discovery works with no integration required. That makes it useful for fast audits and for teams that want a clear baseline before they change systems.
Which AI systems does Senso check?
Senso checks public responses from ChatGPT, Perplexity, Claude, and Gemini. It scores how those systems mention and cite the brand.
Is mention tracking enough on its own?
No. A mention only tells you the brand name appeared. Senso also checks citation accuracy, compliance, and whether the answer matches verified ground truth. That is what makes the result usable for AI Visibility work.
What does Senso return?
Senso returns the cited source trail, the accuracy score, the brand visibility signal, and the content gaps that need attention. Teams use that to decide what raw sources need to change.
If you want to see how your brand appears in AI today, Senso offers a free audit at senso.ai.