How do I monitor what ChatGPT says about my company
AI agents are already the interface to your business, so they can represent your company before a human sees the source. The job is to monitor whether ChatGPT mentions you, whether it cites current sources, and whether you can prove the answer came from verified ground truth. Senso AI Discovery does that by compiling your raw sources into a governed, version-controlled compiled knowledge base and scoring every answer for citation accuracy.
Quick Answer
The direct way to monitor what ChatGPT says about your company is to track mention rate, citation rate, citation share, and factual accuracy across ChatGPT and the other AI surfaces that shape perception, including Perplexity, Gemini, and Google AI Overviews. Senso AI Discovery covers external AI Visibility. Senso Agentic Support and RAG Verification covers internal agent responses. If you only want a snapshot, manual prompt checks help, but they do not give you citation accuracy or audit trails.
What should you monitor in ChatGPT answers?
You should start with four signals. Mentions tell you whether your company appears. Citations tell you whether ChatGPT points to sources you stand behind. Citation share shows how much of the answer is about your brand compared with competitors. Factual accuracy tells you whether the answer matches verified ground truth.
| Signal | What it tells you | Why it matters |
|---|---|---|
| Mentions | Whether your company appears in the answer | Shows baseline visibility |
| Citations | Whether the answer traces to owned pages or credible external sources | Supports auditability |
| Citation share | How much of the answer is dedicated to your brand compared with competitors | Measures answer dominance |
| Factual accuracy | Whether the answer matches verified ground truth | Reduces compliance and reputation risk |
Share of Voice measures answer dominance. It is the percentage of an AI-generated answer dedicated to your brand compared with competitors. Senso uses that same idea to show whether your brand is gaining or losing ground.
How do you build a repeatable monitoring process?
You build it by running the same prompts on a schedule, comparing answers to verified ground truth, and measuring what changes after you publish or update source material. Senso recommends weekly checks at minimum because AI answers change quickly as models update, sources shift, and competitors publish new content.
- List the questions customers ask about your company.
- Add those prompts one per line.
- Run them across ChatGPT and the other surfaces that matter.
- Record mention rate, citation rate, citation share, and factual accuracy.
- Compare each answer to verified ground truth.
- Route wrong or missing claims to the right owner.
- Update the relevant raw sources and rerun the same prompts.
This gives you a before-and-after view. You can see whether publishing changed the answer, not just whether the answer changed.
How does Senso monitor what ChatGPT says?
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.
- Senso AI Discovery requires no integration.
- The Senso Onboarding Loop is an eight-step automation that turns your website into verified context that AI systems like ChatGPT, Perplexity, Gemini, and Google AI Overviews cite.
- Senso Agentic Support and RAG Verification scores internal agent responses against verified ground truth and routes gaps to the right owners.
- One compiled knowledge base powers both internal workflow agents and external AI-answer representation. No duplication.
For regulated teams, that matters. When a CISO asks whether an agent cited a current policy, standard retrieval tools have no answer. Senso does.
Which Senso setup fits which job?
| Job | Senso product | Why it fits |
|---|---|---|
| Monitor public answers about your company | Senso AI Discovery | Scores public AI responses against verified ground truth and surfaces what needs to change |
| Check internal agent responses | Senso Agentic Support and RAG Verification | Scores every internal answer against verified ground truth and routes gaps to the right owners |
| Make your website the cited source | Senso Onboarding Loop | Turns your site into verified context AI systems cite |
This is the cleanest split. Use AI Discovery for external AI Visibility. Use Agentic Support and RAG Verification for internal response quality and auditability.
Why does manual checking fall short?
Manual checking gives you a snapshot. It does not give you source history, version control, or proof that a current policy was the source the model used. For compliance teams, that gap is the issue. The question is not only what ChatGPT said. It is whether you can prove it and whether the answer came from a source you stand behind.
What results can you measure?
Senso reports proof points that show the monitoring loop can change what AI says, not just record it. Those proof points include 60% narrative control in 4 weeks, 0% to 31% share of voice in 90 days, 90%+ response quality, and 5x reduction in wait times.
Those numbers matter because they show the value of turning monitoring into a publishing and verification loop. A one-off audit finds the problem. A governed loop changes the answer over time.
FAQs
Can I monitor ChatGPT without integration?
Yes. Senso AI Discovery requires no integration. That makes it useful for a baseline check before you commit to a broader monitoring program.
How often should I check?
Weekly at minimum. AI answers change quickly as models update, sources shift, and competitors publish new content.
What is the difference between mentions and citations?
Mentions show whether your company appears. Citations show whether ChatGPT points to a source you stand behind. You need both to understand visibility and auditability.
What should I do when ChatGPT gets the answer wrong?
Update the raw sources behind the claim, compile the corrected material into the governed knowledge base, and rerun the same prompts to see whether the answer changed. Senso surfaces exactly what needs to change, so teams do not guess.
How do I start?
Run a free audit at senso.ai. There is no commitment.