An AI visibility audit measures how AI assistants like ChatGPT, Claude, and Perplexity perceive and recommend your brand. It systematically tests real discovery prompts, analyzes the responses, and gives you a score, competitor comparison, and actionable recommendations.
If you're spending money on marketing but don't know whether AI recommends you, you're flying blind in an increasingly important channel. Here's everything you need to know about AI visibility audits.
What is an AI Visibility Audit?
An AI visibility audit is a systematic assessment of how your brand appears (or doesn't appear) in AI-generated responses when potential customers ask questions about your industry, products, or services.
Think of it like an SEO audit, but for AI platforms instead of Google:
| SEO Audit | AI Visibility Audit |
|---|---|
| Checks Google rankings | Checks AI citations |
| Tests keyword positions | Tests prompt responses |
| Analyzes backlinks | Analyzes authority signals |
| Benchmarks vs competitors | Benchmarks vs competitors |
| Provides optimization roadmap | Provides optimization roadmap |
Why AI Visibility Audits Matter
The way people search is changing. Over 60% of B2B buyers now use AI assistants during their research process. ChatGPT alone has 800+ million weekly active users. Google AI Overviews appear on 30%+ of searches.
When a potential customer asks an AI assistant "What are the best project management tools for remote teams?" or "What are alternatives to Salesforce?", does your brand come up?
Without an AI visibility audit, you have no way of knowing.
The Problem with Guessing
You might occasionally test prompts manually—asking ChatGPT about your industry and seeing if you appear. But manual testing has serious limitations:
- Sample size is too small - A few prompts don't represent your target market
- Prompts are biased - You'll test prompts where you think you appear
- No competitor comparison - You can't see relative performance
- No historical tracking - No baseline to measure improvement
- No systematic methodology - Results aren't reproducible or actionable
An AI visibility audit addresses all of these gaps.
What's Included in an AI Visibility Audit
A comprehensive AI visibility audit typically includes:
1. Multi-Platform Testing
Testing across the major AI platforms:
- ChatGPT (OpenAI) - The dominant AI assistant with 800M+ weekly users
- Claude (Anthropic) - Popular for business and technical queries
- Perplexity - AI-powered search engine with cited sources
- Google AI Overviews - AI summaries in Google search results
Each platform has different training data, different citation patterns, and different user bases. Your visibility may vary significantly between them.
2. Discovery Prompt Testing
Testing 20+ prompts that mirror how your target customers actually search:
Discovery prompts:
- "What are the best [category] tools?"
- "What software should I use for [use case]?"
- "Who are the leaders in [industry]?"
Comparison prompts:
- "What are alternatives to [competitor]?"
- "[Competitor A] vs [Competitor B] vs [Competitor C]"
- "How does [your brand] compare to [competitor]?"
Use case prompts:
- "What's the best [category] for [specific need]?"
- "Which [category] integrates with [platform]?"
- "Best [category] for [company size/type]?"
Evaluation prompts:
- "Is [your brand] good for [use case]?"
- "What are the pros and cons of [your brand]?"
- "Should I use [your brand] for [specific need]?"
3. Response Analysis
Each AI response is analyzed for:
- Mention detection - Is your brand mentioned at all?
- Position analysis - Are you the primary recommendation, an alternative, or just mentioned in passing?
- Sentiment analysis - Is the AI positive, neutral, or negative about your brand?
- Accuracy check - Is the information about your brand correct?
- Competitor comparison - Who else is mentioned, and how?
4. Visibility Score Calculation
A quantified score (typically 0-100) based on:
| Factor | Weight | Description |
|---|---|---|
| Mention Rate | 40% | % of relevant queries where you're cited |
| Position Quality | 30% | Primary recommendation vs. alternative vs. mentioned |
| Sentiment | 20% | How positively AI describes your brand |
| Platform Coverage | 10% | Consistency across different AI engines |
5. Competitor Benchmarking
Your audit should compare your visibility against:
- Direct competitors - Brands competing for the same customers
- Category leaders - Top brands in your space
- Industry average - Typical visibility in your category
This shows you where you stand relative to alternatives your customers are likely considering.
6. Actionable Recommendations
A prioritized list of improvements:
- Quick wins - Changes you can make this week
- 30-day fixes - Content and authority improvements
- 60-day initiatives - New content and citation building
- 90-day strategy - Long-term positioning changes
How to Run an AI Visibility Audit
Option 1: DIY Manual Audit
You can conduct a basic audit yourself:
Step 1: Define your prompts
- List 20-30 questions your target customers might ask AI
- Include discovery, comparison, and evaluation prompts
- Cover different intents and use cases
Step 2: Test each prompt
- Run each prompt on ChatGPT, Claude, and Perplexity
- Record whether your brand is mentioned
- Note your position and competitor mentions
Step 3: Analyze results
- Calculate your mention rate
- Assess sentiment patterns
- Identify gaps vs. competitors
Pros: Free, immediate Cons: Time-consuming, limited scale, no trending data, subjective analysis
Option 2: Professional Audit Service
Services like Citedify conduct comprehensive audits:
- Systematic testing across 20+ prompts and multiple platforms
- Automated analysis for mention, position, and sentiment
- Competitor benchmarking with industry context
- Professional report with prioritized recommendations
- Baseline establishment for tracking progress
Pros: Comprehensive, objective, actionable Cons: Cost (typically $200-$500 one-time)
Option 3: Continuous Monitoring Tools
Tools like Otterly.AI, HowAISeesMe, or Profound provide ongoing monitoring:
- Regular testing of preset prompts
- Trend tracking over time
- Alerts when visibility changes
- Dashboard for ongoing monitoring
Pros: Continuous visibility, trend detection Cons: Monthly cost, may miss edge cases
Understanding Your Audit Results
Interpreting Your Visibility Score
80-100: Excellent Your brand is well-recognized by AI systems. You're frequently mentioned as a primary or alternative recommendation. Focus on maintaining position and monitoring competitors.
60-79: Good You have solid visibility but room for improvement. You're mentioned regularly but may not be the top recommendation. Identify what's keeping you from primary position.
40-59: Moderate You appear occasionally but are missing from many relevant queries. There's significant opportunity to improve. Focus on building authority and content.
20-39: Low Your brand is largely invisible to AI assistants. Competitors are capturing the conversations you should be in. Prioritize foundational GEO work.
0-19: Minimal AI systems essentially don't know your brand. This is common for newer companies but a serious gap for established brands. Start with basics: Wikipedia presence, review site listings, structured website content.
Common Audit Findings
Finding: High visibility on one platform, low on others
- Cause: Different training data cutoffs or citation patterns
- Fix: Build presence on platforms used by underrepresented AI systems
Finding: Mentioned but never as primary recommendation
- Cause: Competitors have stronger authority signals
- Fix: Build more third-party citations and expert content
Finding: Mentioned with incorrect information
- Cause: Outdated or inaccurate web content
- Fix: Update your website, Wikipedia, and directory listings
Finding: Positive on brand prompts, absent on category prompts
- Cause: AI knows your brand but doesn't associate it with the category
- Fix: Create more category-focused content and earn category citations
What to Do After Your Audit
Immediate Actions (Week 1)
- Fix inaccuracies - If AI is stating incorrect information about your brand, update the sources
- Check technical access - Ensure GPTBot and other AI crawlers can access your site
- Update directory listings - Verify information on review sites and directories
Short-Term Improvements (30 Days)
- Create FAQ content - Add structured Q&A that answers common queries
- Improve website structure - Make content easy for AI to parse
- Build comparison content - Create honest comparisons between you and competitors
Medium-Term Strategy (60-90 Days)
- Earn third-party citations - Get mentioned in publications, reviews, and guides
- Create expert content - Publish research, case studies, and thought leadership
- Build Wikipedia presence - If notable enough, create or improve Wikipedia entry
Ongoing Optimization
- Run follow-up audits - Quarterly audits track progress
- Monitor competitors - Watch for changes in competitive landscape
- Stay current - Update content as AI platforms evolve
When to Run an AI Visibility Audit
Run an audit when:
- You've never measured AI visibility before (establish baseline)
- You're launching a new product or entering a new market
- Competitors seem to be appearing in AI while you're not
- You've made significant GEO improvements and want to measure impact
- Quarterly, for ongoing optimization
Signs you need an audit urgently:
- Customers mention hearing about competitors from AI but not you
- AI traffic to your site has declined
- Manual spot-checks show you're missing from obvious queries
- Competitors have been investing in GEO while you haven't
AI Visibility Audit Checklist
Before your audit, gather:
- Your brand name and common variations
- Primary competitors (5-10 brands)
- Target customer descriptions
- Key use cases and industries
- Important keywords and categories
- Product/service descriptions
After your audit, you should have:
- Visibility score with breakdown
- Platform-by-platform results
- Competitor comparison data
- List of prompts where you're missing
- Sentiment analysis summary
- Prioritized recommendations
- Baseline for future comparison
The ROI of AI Visibility Audits
The cost of NOT knowing:
- Invisible to 60%+ of B2B buyers using AI for research
- Competitors capture conversations you should own
- Marketing spend with blind spots
- No way to measure GEO improvements
The value of knowing:
- Clear baseline to track progress
- Prioritized roadmap for improvement
- Competitive intelligence on AI positioning
- Data to justify GEO investments
AI referral traffic converts at 4.4x higher rates than traditional organic search. Even small improvements in visibility can drive meaningful business results.
Conclusion
An AI visibility audit answers the critical question: "Does AI recommend my brand?"
Without this data, you're guessing whether your GEO efforts are working and whether competitors are outpacing you in this increasingly important channel.
Whether you run a manual audit, use a professional service, or implement continuous monitoring, the key is to measure, benchmark, and improve systematically.
The brands winning in 2026 are the ones that treat AI visibility as seriously as they treat search rankings—and that starts with knowing where you stand.
Ready to see where you stand? Get your AI visibility audit with Citedify and receive your comprehensive report in 48 hours.



