An LLM visibility audit shows how often AI platforms mention, describe, and recommend your brand. Instead of checking only whether ChatGPT knows your company, test the questions your potential customers actually ask. Run the same prompts across ChatGPT, Gemini, Perplexity, and Google AI Overviews, then record what each platform says about your brand.
The goal is to find out whether your brand appears in relevant conversations, how accurately it is described, which competitors appear alongside it, and which sources AI platforms use. This gives you a baseline for improving your AI search and GEO strategy.
What to Check in an LLM Visibility Audit
A useful audit should look beyond simple brand mentions. Track the following for every prompt:
| What to check | What it tells you |
|---|---|
| Brand mentions | Whether AI recognizes your brand |
| Unbranded mentions | Whether your brand appears when customers search by category |
| Brand description | Whether AI understands your positioning correctly |
| Position in the answer | How prominently your brand is presented |
| Citations | Which websites and pages support the answer |
| Competitors | Which competing brands appear instead |
| Accuracy | Whether the information about your brand is correct |
Tracking these details in a spreadsheet makes it easier to compare results across platforms and over time.
How to Audit Brand Visibility on LLMs
1. Create a list of real buyer prompts
Start with 10–20 questions your target customers might ask an AI platform. Include both branded and non-branded searches.
For example:
- What are the best B2B SEO agencies?
- Best SEO agencies for SaaS companies
- Companies that provide GEO services
- [Your brand] vs [competitor]
- What does [your brand] specialize in?
- Is [your brand] a good option for SaaS SEO?
Non-branded prompts are particularly important because they show whether AI recommends your brand without being directly prompted with its name.
2. Run the prompts across multiple AI platforms
Use the same prompts on ChatGPT, Gemini, Perplexity, and Google AI Overviews where available. Do not judge your visibility from a single response because AI-generated answers can vary.
Record:
- Was your brand mentioned?
- Where did it appear?
- Which competitors were mentioned?
- How was your brand described?
- Was your website or another source cited?
- Was the information accurate?
This creates a consistent baseline that you can compare during future audits.
3. Check the sources behind the answers
Citations can reveal why a brand is appearing in AI answers. Look for recurring sources such as industry publications, review sites, directories, comparison pages, forums, research, and your own website.
If competitors repeatedly appear because of sources that never mention your brand, that can point to a content or digital PR gap. Also check whether AI is relying on outdated or inaccurate information about your company.
4. Compare your brand with competitors
Run the same prompts for your main competitors. Look at visibility, position, descriptions, citations, and recurring sources rather than simply counting mentions.
For example:
| Metric | Your brand | Competitor A | Competitor B |
|---|---|---|---|
| Category prompts | |||
| Recommendation prompts | |||
| Brand accuracy | |||
| Citations | |||
| Average position |
The purpose is not to create a single score. It is to identify where your brand is being surfaced and where competitors are appearing instead.
What to Do With the Audit Results
Once you have the data, look for repeated patterns. If AI understands your brand but rarely recommends it, you may need stronger category and third-party signals. If your brand appears but is described incorrectly, focus on clearer positioning and consistent information across your website and other authoritative sources.
If competitors are consistently supported by particular publications, directories, review sites, or comparison pages, those sources can also show where your visibility strategy has gaps. Your audit should ultimately turn AI responses into specific content, authority, and technical actions.
LLM Brand Visibility Audit Template
You can use a simple spreadsheet with these columns:
Prompt | AI platform | Brand mentioned? | Position | Description accurate? | Competitors mentioned | Citation/source | Notes
Run the same prompt set regularly so you can compare changes instead of relying on individual AI responses. A quarterly audit is a practical starting point, while brands actively working on AI visibility may monitor more frequently.
FAQs
What is an LLM visibility audit?
It is a structured check of how AI platforms mention, describe, compare, and recommend your brand across relevant customer prompts.
How do you measure brand visibility on ChatGPT?
Test a consistent set of branded and non-branded prompts and record whether your brand appears, its position, how it is described, and which sources are cited.
How do you check if ChatGPT mentions your brand?
Ask category, recommendation, comparison, and brand-specific questions that your customers might use. Checking only “Tell me about [brand]” does not measure unprompted visibility.
What is AI brand visibility?
AI brand visibility refers to how frequently and prominently your brand appears in AI-generated answers when people search for information related to your category, products, or services.
How often should you audit LLM visibility?
A quarterly audit provides a consistent baseline for many brands. If AI visibility is a major part of your marketing strategy, more frequent monitoring can help identify changes sooner.
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