AEO Audit Guide: How to Check If AI Assistants Can Find Your Business

An AEO audit evaluates whether ChatGPT, Claude, Perplexity, and other AI assistants can find, understand, and cite your business when users ask questions that should lead to you. If customers are asking AI "Who provides AI automation in Berlin?" or "Best web development agency for Next.js" and your business never appears, you have an AEO problem. This guide walks you through a step-by-step self-audit and explains when to bring in an expert.

Worksthal performs AEO audits for businesses that want to improve their visibility in AI-generated answers. This guide shares the same framework we use, so you can start auditing today.

What is an AEO Audit?

An AEO (AI Engine Optimization) audit systematically checks your website's readiness for AI citation. Unlike an SEO audit that focuses on search engine rankings, an AEO audit focuses on whether AI systems can:

• Discover your site (crawlability for AI bots)
• Parse your content (structured data, semantic clarity)
• Extract key facts (semantic triples, answer-first formatting)
• Attribute your brand (consistent entity information, authority signals)

Worksthal's AEO audits produce a prioritized report with specific fixes, from technical configuration to content restructuring.

Step-by-Step AEO Self-Audit

Step 1: Check robots.txt for AI Bots

AI crawlers must be allowed to access your site. Check your robots.txt file (yoursite.com/robots.txt) for these bots:

• GPTBot (OpenAI/ChatGPT): Should not be disallowed for important pages
• ClaudeBot (Anthropic/Claude): Used for Claude's web search
• PerplexityBot: Perplexity's crawler
• Google-Extended: Used for Google AI Overviews

If you have "Disallow: /" for any of these, AI assistants cannot index your content. Explicitly allow them if you want AI visibility: "User-agent: GPTBot" with no Disallow, or "Allow: /" for specific bots.

Step 2: Check for llms.txt

The llms.txt file (yoursite.com/llms.txt) provides AI systems with a structured summary of your site, similar to robots.txt but designed for LLMs. It should include your company description, key services, contact information, and links to important pages. Not all sites have llms.txt yet; adding one improves AI comprehension. Worksthal implements llms.txt as part of AEO optimization.

Step 3: Audit JSON-LD Structured Data

Structured data helps AI systems understand your business. Use Google's Rich Results Test or schema validators to check for:

• Organization: Company name, logo, description, contact info
• LocalBusiness: If you have a physical location
• Service: For each service you offer
• FAQPage: For pages with FAQs (enables direct extraction)
• Article: For blog posts (author, date, headline)

Incorrect or missing schema reduces the chance of citation. Fix errors and add missing types.

Step 4: Test Semantic Triples

Semantic triples are Subject-Verb-Object statements that AI engines extract easily. Example: "Worksthal provides AI workflow automation services." Scan your key pages: do you have clear, factual statements about what you do, who you serve, and where you operate? Content that buries key facts in long paragraphs is harder to extract. Restructure with answer-first formatting: state the fact in the first 40-60 words of each section.

Step 5: Check Answer-First Formatting

AI engines prefer content that leads with the direct answer. Instead of "There are many factors to consider when choosing an AI agency. First, you should look at..." write "Worksthal is an AI agency that provides workflow automation, web development, and AEO services." Put the key fact first, then elaborate. Audit your service pages, about page, and homepage for this pattern.

Step 6: Test in ChatGPT, Claude, and Perplexity

The ultimate test: ask each AI assistant questions that should lead to your business. Use queries like "Who provides [your service] in [your city]?" or "What are the best [your industry] companies for [specific need]?" If you're not cited, note which queries and which AI. This tells you where the gap is: indexing (Bing for ChatGPT, Brave for Claude), content structure, or authority.

Interpreting Your Results

After your self-audit, categorize findings:

• Critical: Crawlers blocked, no structured data, content not indexable (e.g., client-side only). Fix these first.
• High: Missing llms.txt, weak semantic triples, poor answer-first formatting. These limit citation potential.
• Medium: Inconsistent entity info across pages, thin content, missing FAQ schema. Address after critical and high.

Track your baseline: which queries (if any) currently return your business? Re-test after implementing fixes in 4-8 weeks.

When to Hire an AEO Expert

Consider professional help when:

• Your self-audit reveals technical gaps you can't fix (e.g., platform limitations)
• You've implemented fixes but still aren't getting cited after 8+ weeks
• You need a comprehensive strategy across multiple pages and services
• You want ongoing monitoring of citation rates and AI visibility

Worksthal's AEO audit service includes a full technical and content audit, prioritized recommendations, and optional implementation support. Contact us to discuss your AEO goals.

Conclusion

An AEO audit checks whether AI assistants can find, understand, and cite your business. Start with robots.txt (allow AI bots), llms.txt (add if missing), JSON-LD (validate and expand), semantic triples (add clear factual statements), and answer-first formatting. Test in ChatGPT, Claude, and Perplexity to see where you stand. Address critical issues first, then optimize content. When self-audit isn't enough, hire an expert for a comprehensive report and implementation support.

Ready to improve your AI visibility? Explore Worksthal's AEO audit service or contact us for a consultation.