LLMs (Large Language Models) like Gemini and ChatGPT are no longer known as just tools, they often serve as a brand’s first point of contact. People ask, “What is this brand known for?” If AI gets it wrong, your brand may bear. Let’s discuss how to assess and improve what AI thinks of your business.
1. Ask the Right Questions
Start with easy prompts:
- What is Brand known for?
- Why choose Brand over competitors?
If AI provides wrong answers “e.g., claiming your software was obtained by another firm”, that signals a visibility problem.
2. Have a Look on AI Mentions and Citations
Use LLM tracking tools that watch how often and how perfectly your brand is mentioned in AI answers. Key tools include:
- Peec AI: Tracks brand mentions across multiple LLMs, compares sources, and benchmarks others.
- Profound: Ideal for enterprise level tracking and insights across models.
- Scrunch AI, Otterly.AI, Rankscale, and others each bring unique power in feelings, positioning, and prompt analysis.
3. Run a Formal AI Visibility Audit
performing an audit helps you:
- Recognize how perfectly AI shows your brand.
- Identify instances of misinformation or error.
- Measure visibility gaps between brands.
Think of it as a brand check up, what AI knows, what it misunderstands, and where it fails to mention you altogether.
4. Improve Your AI Visibility
Here’s what works:
- Create clear, informational content that aligns with AI queries.
- Incorporate structured data (FAQs, product info, schema) to guide AI understanding.
- Focus on branded queries, LLMs strongly depend on them, increasing credibility and visibility.
5. Monitor performance
Run day by day audits:
- Analyze ups and downs in visibility.
- Fetch AI misinformations and correct them quickly.
- Improve content and structured data based on where AI is misleading you.
Summary Table
| Step | Action | Why It Matters |
| 1 | Ask LLM what it thinks about your brand? | Analyze immediate visibility gaps |
| 2 | Use tracking tools (Peec, Profound, etc.) | Measures brand refers in AI platforms |
| 3 | Make an AI visibility audit report | Builds a starting point for optimization |
| 4 | Optimize content and schema | Helps LLMs reference you perfectly |
| 5 | Make audit again Regularly | Make sure continued accuracy and identifies new issues |
Why This Matters Now
As Dixon Jones from Sitebulb put it:
“Content now has to talk to LLMs as much as it does to a human being.”
In 2025, AI-powered search is shaping brand Awareness. Doing an LLM brand audit helps you ensure that AI reflects your brand accurately, and continues driving trust and visibility.
