The best AI visibility audit tool built for agencies

The numbers tell the story: AI-referred traffic grew 1,200% year-over-year. But here's what matters most—those visitors convert 4.4x higher than traditional search traffic. They're not browsing. They asked an AI for a recommendation, got an answer, and they're ready to act. Agencies that help clients win these citations are opening a new service category with almost no competition. .

Agencies that help clients win these citations are opening a new service category with almost no competition.

Four platforms. ChatGPT. Claude. Perplexity. Gemini. Why all four? Because 86% of top-cited sources appear on only one platform. Test just ChatGPT and you're missing most of the picture.

• Schema Markup: Structured data that helps AI platforms understand business information
• llms.txt File: Instructions for AI crawlers about your content and priorities
• AI Crawler Access: Whether GPTBot, ClaudeBot, and PerplexityBot are allowed
• Core Web Vitals: Page speed affects crawl efficiency and content availability
• HTTPS & Security: Trust signals that influence citation likelihood
• E-E-A-T Signals: Experience, expertise, authority, and trust indicators
• Semantic HTML: Proper heading hierarchy and content structure
• XML Sitemap: Helps AI crawlers discover and index content
• JavaScript Rendering: Whether content is accessible without JS execution

Think robots.txt, but for AI crawlers. An llms.txt file tells ChatGPT, Claude, Perplexity, and other AI platforms what your business does, what services you offer, and which content to prioritize when answering user questions. Early adoption data shows implementing llms.txt can improve citation accuracy and relevance by 15-25%.

• Citation rate: Percentage of relevant prompts where your client is mentioned
• Average citation position: Where they appear in AI responses
• Share of voice: Their citations compared to competitors
• Sentiment analysis: How positively AI platforms describe them
• AI-referred traffic: Visitors arriving after interacting with AI platforms

• Executive summary with overall score
• Citation gap analysis versus competitors
• Platform-by-platform visibility breakdown
• Technical foundation scorecard (9 elements)
• AI citation performance metrics
• Core Web Vitals analysis
• Content analysis showing what types get cited
• Current AI-referred traffic data
• Prompt-by-prompt results showing who's winning each query
• Competitor performance comparison
• Specific page optimization recommendations
• Prioritized next steps with expected impact

• Free or low-cost ($0-$200): Use as a lead magnet to start conversations
• Mid-range ($300-$800): Standalone audit with recommendations, similar to SEO audit pricing
• Premium ($1,000-$2,500): Full audit with competitor analysis, implementation roadmap, and strategy session
• Bundled with services: Include as part of ongoing AI visibility optimization retainers

The audit creates natural upsell opportunities for implementation services, ongoing monitoring, and AI-optimized content creation.

• Technical fixes: llms.txt implementation, schema markup expansion, heading structure improvements
• Content optimization: Specific page-level changes to improve citation likelihood
• E-E-A-T enhancements: Adding credentials, testimonials, and authority signals
• Competitive positioning: Strategies to win citations your competitors currently own

Each recommendation includes expected impact percentage and implementation guidance.

Quarterly works for most businesses. AI platforms update their algorithms regularly. Competitors optimize constantly. Content freshness affects recommendations. Quarterly audits track progress, identify new opportunities, and catch competitive threats early.

For competitive markets or active optimization campaigns, monthly monitoring makes sense.

Yes. Run audits at regular intervals to track changes in citation rate, competitive position, and AI-referred traffic. Prove the value of your optimization work. Identify when additional attention is needed.

That's actually the most common scenario—and the biggest opportunity. When the audit shows a client is invisible across all AI platforms while competitors are getting cited, you've identified a clear problem with a solution you can provide. The technical recommendations give you a specific starting point.

Strong SEO provides a foundation for AI visibility. Pages that rank well in traditional search are more likely to be cited by AI platforms. The audit shows which pages already attract organic traffic and are primed for AI search optimization—helping you prioritize efforts where traditional SEO success can translate to AI citations.

My Web Audit is the only tool that combines multi-platform testing (all four major AI platforms), competitive benchmarking, technical foundation analysis, and Google Analytics integration in a single audit. Other approaches require manual testing across platforms, separate technical audits, and manual analytics review—hours or days of work versus our 10-15 minute report.

• search traffic grew 1,200% year-over-year
• Only 11% of domains are cited by both ChatGPT and Perplexity — the window to establish authority is open
• Brands present on 4+ AI platforms are 2.8x more likely to be cited
• AI search visitors convert 4.4x higher than traditional search

Agencies offering AI visibility services now are establishing expertise before competition increases.