This comprehensive guide provides election officials with operational strategies to make official election websites readable, authoritative, and citable by AI language models and search engines, thereby helping to safeguard accurate election information. It outlines techniques for implementing clean HTML and schema markup, establishing plain language and consistent terminology, and managing content lifecycles to eliminate stale data. Furthermore, it details how to deploy robots.txt and llms.txt files to control crawler access, prioritize current election content, and prevent outdated archives from being cited as active policy. The document also includes actionable checklists, tool recommendations, and protocols for quarterly monitoring AI-generated information.
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