The guide gives three worked examples of scripted, API-driven workflows. A GEO content audit runs on a schedule, crawls target pages, and uses an LLM API to score each against GEO criteria — fact density, structure, and atomicity — assigning a GEO Readiness score and flagging the weakest pages for improvement. Schema and structured-data validation crawls URLs, validates each against Google’s Rich Results Test API, and compares implemented schema against a required-types template (e.g., Article, FAQPage, Author), reporting errors or missing types. E-E-A-T signal and entity monitoring uses media-monitoring APIs to track unlinked brand and author mentions, filters for high-authority sources, and alerts the outreach team to pursue them. All follow a human-on-the-loop principle and typically run on a Python-based stack.
Full guide → AI-Powered SEO Automation Workflows
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