2025 Real SEO™ Definition
"Model Drift & Evaluation Pipelines"

Monitoring and testing AI models to detect when performance or accuracy declines over time due to changing data.

Model Drift & Evaluation Pipelines

Model Drift happens when an AI’s accuracy fades because the world—or your data—changes. For example, consumer language or SEO trends evolve, but the AI still predicts using outdated patterns.

Evaluation Pipelines are automated systems that regularly test and score models, ensuring they stay aligned with real-world data and business goals.

In Real SEO™, this prevents outdated insights from driving content or ad decisions, preserving trust and ROI.