A critical step in implementing the SPARK Framework™ is auditing your existing content for AI readiness. This means evaluating whether your content can be easily understood, extracted, and cited by AI systems.
Look for content that lacks clear structure, has weak entity definitions, missing schema markup, or poor answer readiness. Prioritize updating your highest-traffic and most important pages first.
The audit should also identify content gaps—questions your audience is asking AI systems that you haven't addressed. These gaps represent opportunities to create new content that fills a void.
Question for the community: What criteria do you use when auditing content for AI optimization? What are the most common issues you find?