If you’re serious about AI search, the first thing you need is a clear picture of where your site stands today. Our 5‑step assessment gives you a data‑driven roadmap to move from “good enough” to AI‑ready.
Step 1: Crawl Your Site with an AI‑Friendly Bot
Start by running an AI‑compatible crawler (like our proprietary Try Post Log scanner) to capture how bots interpret your pages. Look for crawl errors, blocked resources, and pages that return non‑HTML responses.
Step 2: Audit Structured Data Implementation
AI search engines rely heavily on schema markup. Check that you have JSON‑LD for Organization, Breadcrumb, Article, and Product where applicable. Use Google’s Rich Results Test to confirm validity.
Step 3: Measure Content Semantic Depth
AI models rank content based on topic depth and relevance. Run a semantic analysis (e.g., using our AI Semantic Score tool) to see how well each page covers its core subject. Aim for a score above 75 % for high‑impact pages.
Step 4: Evaluate Page Load Speed on Mobile‑First
Fast, mobile‑first performance is a non‑negotiable signal. Use PageSpeed Insights to benchmark Core Web Vitals. Any page lagging behind 2 seconds on First Contentful Paint should be optimized.
Step 5: Test AI Search Relevance with Real Queries
Enter a handful of natural‑language queries in leading AI search platforms (e.g., ChatGPT with browsing, Bing AI). Note whether your content appears, and if the answers are accurate. Record gaps for remediation.
Putting It All Together
Compile the findings into an AI Search Readiness Scorecard. Prioritize fixes that will deliver the biggest lift – usually schema errors and page speed.
Next Steps
Ready for a deeper dive? Get your detailed growth plan from our partners at LV Strategic Business Solutions. Our team will translate the scorecard into a customized roadmap that aligns with your business goals.
