How to Audit Your Company's AI Presence
How to Audit Your Company's AI Presence
Establish a baseline of how Large Language Models perceive your brand to identify visibility gaps and factual inaccuracies. This framework allows you to systematically measure your brand's share of voice across the leading AI answer engines.
What You'll Need
- Access to multiple LLMs (e.g., ChatGPT, Claude, Perplexity, Gemini)
- A list of core brand pillars and primary product categories
- A spreadsheet for documenting response patterns
Steps
Step 1: Define Baseline Query Sets
Develop a set of standardized prompts that mirror how customers search. Include direct brand queries, category-based comparisons (e.g., 'Best tools for X'), and problem-solution queries where your product is the answer.
Step 2: Execute Cross-Platform Testing
Run the same query sets across different LLMs to identify discrepancies. Because each model is trained on different datasets and uses different retrieval methods, you will likely see varying levels of brand recognition.
Step 3: Analyze Citation Frequency
Document whether the AI cites your brand and, if so, which sources it references. Note if the model provides a direct link to your site or relies on third-party reviews, directories, or social media mentions.
Step 4: Evaluate Sentiment and Accuracy
Assess the quality of the AI's description of your business. Flag any 'hallucinations'—factual errors regarding your pricing, features, or leadership—that could mislead potential customers.
Step 5: Map the Competitive Gap
Identify which competitors are being recommended over your brand and analyze why. Look for patterns in the competitors' digital footprints, such as high-authority mentions in niche publications or structured data usage.
Step 6: Synthesize Findings into an Action Plan
Categorize the results into 'Wins' (accurate citations), 'Gaps' (missing mentions), and 'Risks' (incorrect information). Prioritize updates to your website's structured data and external PR to correct the AI's knowledge base.
Expert Tips
- Use 'incognito' or fresh sessions to avoid personalization bias in AI responses.
- Test both conversational prompts and direct questions to see how the model's retrieval logic changes.
- Focus on 'Zero-Shot' prompts to see what the model knows without providing it any external context.
See also
- What is Generative Engine Optimization (GEO)?
- How to Get Your Brand Cited by ChatGPT and AI Answer Engines
- How to Optimize a Website for Perplexity AI
- Why Is My Business Not Appearing in AI Search Results?