How to Conduct an AEO Audit: A 25-Point Checklist for AI Readiness

Before you can dominate AI answer engines, you must know where your brand currently stands.

This 25-point checklist is the exact diagnostic framework used by enterprise growth engineering teams to audit websites for LLM crawlability, entity reinforcement, and citation optimization.

Section A: AI Crawler Accessibility (Points 1–6)

• [ ] 1. Robots.txt Inspection: Ensure GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot, Claude-Web, and Google-Extended are explicitly granted Allow: / access.
• [ ] 2. SSR / Static Export Verification: Ensure your core content is rendered server-side or statically generated. AI web crawlers rarely execute heavy client-side JavaScript.
• [ ] 3. Sub-200ms TTFB: Verify that your global Time-to-First-Byte (TTFB) is under 200ms via an edge CDN (e.g., Cloudflare Workers). Fast crawlers have strict per-page fetch timeout limits.
• [ ] 4. Absence of Aggressive Cloudflare WAF Challenges: Ensure AI bot user-agents are not trapped in infinite CAPTCHA challenges.
• [ ] 5. Presence of `/llms.txt`: Deploy an /llms.txt file at your root directory outlining your core entity overview and key documentation markdown endpoints.
• [ ] 6. Clean Semantic HTML DOM: Content must be encapsulated in semantic tags (<article>, <section>, <header>, <h1> to <h3>) without deep <div> nesting soup.

Section B: Entity & Schema Architecture (Points 7–13)

• [ ] 7. Organization Schema: Comprehensive JSON-LD with legalName, url, logo, and foundingDate.
• [ ] 8. `sameAs` Authority Links: Schema explicitly maps to Wikidata, Crunchbase, LinkedIn, Twitter, and GitHub.
• [ ] 9. SoftwareApplication / Product Schema: Detailed application category, pricing model, and supported platforms.
• [ ] 10. FAQPage Schema: All Q&A blocks marked up with verified schema.
• [ ] 11. BreadcrumbList Schema: Clean site hierarchy mapped for machine-readable traversal.
• [ ] 12. Author Persona Attribution: Technical articles authored by named, verified domain experts with linked bios.
• [ ] 13. Wikidata & Wikipedia Verification: Company brand has an established, neutral presence on Wikidata.

Section C: Content Density & Information Gain (Points 14–19)

• [ ] 14. 40-Word Answer Summaries: Every major heading is followed immediately by a direct, declarative factual answer.
• [ ] 15. Native Markdown Tables: Product features, benchmarks, and pricing formatted in clean tables.
• [ ] 16. Original Statistical Telemetry: Every cornerstone guide contains proprietary research or primary data.
• [ ] 17. Zero Content Fluff: Fluffy introductory paragraphs (*"In today's fast-paced digital world..."*) deleted.
• [ ] 18. Clear Pros & Cons Breakdown: Product comparison pages acknowledge realistic trade-offs.
• [ ] 19. Code Snippets & Schemas: Technical pages include copy-pasteable, verified code blocks.

Section D: LLM Citation Telemetry & Defense (Points 20–25)

• [ ] 20. Baseline AI Share of Voice (AI SOV): Calculate current citation percentage across 50 core category buyer prompts.
• [ ] 21. Multi-Engine Testing: Verify rankings across ChatGPT Search, Perplexity Sonar, Claude 3.7, and Google Gemini.
• [ ] 22. Hallucination Audit: Identify if any model hallucinates incorrect pricing, deprecated features, or fabricated security claims.
• [ ] 23. Competitor Citation Teardown: Identify the specific third-party domains (e.g. Reddit, G2, TechCrunch) that LLMs cite when recommending competitors.
• [ ] 24. Automated Alerting Pipeline: Connect Slack or Webhook alerts via Signalouts to catch sentiment drift in real time.
• [ ] 25. Programmatic Refresh Schedule: Re-probe top 250 category prompts every 7 days to maintain citation defense.