AI Visibility Audit: How to Check Your AI Presence

Do you know how your brand is presented in ChatGPT, Gemini, or Perplexity? An AI Visibility Audit shows you exactly that – and uncovers optimization potential.

What is an AI Visibility Audit?

An AI Visibility Audit is a systematic review of how your brand appears in responses from various AI systems:

• ChatGPT (with and without web search)
• Google Gemini (including AI Overviews)
• Perplexity
• Claude
• Microsoft Copilot

Why is an Audit Important?

Identify Problems

• Misinformation about your brand
• Outdated data
• Wrong associations
• Missing mentions

Discover Opportunities

• Relevant topics where you could be mentioned
• Competitors who are already visible
• Keywords with GEO potential

How to Conduct a Basic Audit

Step 1: Prepare Prompts

Create a list of relevant questions:

• "What is [your industry] and who are the leading providers?"
• "What do you recommend for [your product/service]?"
• "[Brand name] reviews"
• "Comparison [your brand] vs. [competitor]"

Step 2: Test All Platforms

Ask the same questions in:

• ChatGPT (Free & Plus)
• Perplexity
• Google Gemini
• Claude

Step 3: Document

Record for each answer:

• Is your brand mentioned? (Yes/No)
• Position in the answer (1st/2nd/3rd mention)
• Context of mention (positive/neutral/negative)
• Accuracy of information
• Mentioned competitors

Step 4: Analyze

• Recognize patterns
• Identify gaps
• Draw competitor comparisons

Important Metrics

Metric	Description
Share of Voice	How often is your brand mentioned vs. competitors?
Sentiment	Positive, neutral, or negative?
Accuracy	Is the information correct?
Position	At what point are you mentioned?
Coverage	In how many answers do you appear?

Tools for AI Visibility Audits

Manual Review

• Direct tests on all AI platforms
• Time-consuming but accurate

Professional Tools

• Semrush AI Visibility Toolkit
• Otterly.AI
• Brand24 (for mentions)

Our Initial Check

We conduct a comprehensive manual audit and deliver a detailed report with actionable recommendations.

After the Audit: What to Do?

1. Fix Critical Errors: Correct misinformation
2. Establish Technical Foundation: Schema.org, llms.txt
3. Content Strategy: Create citable content
4. Set Up Monitoring: Regular reviews

Audit Frequency

• Initial: One-time for baseline
• Quarterly: After major changes
• Continuous: Automated monitoring

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Start with our Initial Check and get a complete overview of your AI visibility.