The next election influence campaign will target your AI chatbot

Adversarial actors are creating networks of hyperlocal, AI-crawler-optimized websites designed to poison the training and retrieval data that large language models rely on, subtly biasing their outputs toward specific political candidates or positions. This represents a supply chain attack on the information ecosystem — rather than hacking a system directly, attackers corrupt the data sources AI systems trust. Because most users treat AI-generated responses as authoritative and neutral, this manipulation is especially dangerous during election cycles. The threat highlights a critical gap: organizations and platform providers lack sufficient transparency and auditing controls over what content AI systems ingest and surface.