Monitoring your brand in generative AI outputs
- Harry Sully
- Jan 14
- 2 min read
Updated: Jan 20

Generative AI platforms like ChatGPT, Google Gemini, and Bing Chat are becoming gateways to information for millions of consumers. That makes them as important to monitor as traditional media and search engines. Yet many brands have no process in place to track how AI is describing them or whether it’s even mentioning them at all.
Why AI monitoring is essential
AI tools don’t just passively repeat information; they synthesise it. That means inaccuracies, outdated details, or competitor bias can easily find their way into answers about your brand. For example, an old CEO name or discontinued product spec may still appear in AI responses if those details exist in the wider content ecosystem. Left unchecked, these errors can misinform thousands of consumers at scale.
The risks of inaction
Outdated narratives: AI models often surface information that lags behind reality. If your brand has rebranded, changed pricing, or launched new products, the AI may still describe you using old content.
Reputational distortion: Negative press, poor reviews, or misinformation can be amplified if they dominate the sources AI reference.
Lost visibility: If competitors are more consistently mentioned across reviews, press coverage, or affiliate content then AI outputs may prioritise them and leave your brand invisible.
Best practices for brands
Run regular audits. Query AI platforms directly with prompts such as “What is [brand]?” or “Best [category] brands.” Document the answers you receive to track accuracy and visibility over time.
Monitor competitors. Ask the same questions about competing brands. This can reveal which of their narratives are gaining traction and highlight gaps in your own coverage.
Use specialist tools. Emerging platforms are beginning to automate AI output monitoring, offering reports on how brands are represented across different models. For now, even manual monitoring can provide valuable insight.
Act quickly on misinformation. If AI consistently produces wrong or misleading information, work to correct the record by updating your own channels, contacting publishers, and generating new authoritative content.
Key takeaway
Monitoring AI outputs is no longer optional. It should be treated with the same importance as media monitoring or SEO tracking. By staying on top of how generative AI describes your brand, and correcting issues when needed, you protect reputation, ensure accuracy, and secure visibility in one of the fastest-growing consumer touchpoints.
This blog is adapted from our latest research on off-site content in the age of generative AI. To receive the full whitepaper, get in touch with the Planit team.
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