The global information ecosystem is quietly and permanently collapsing. AI has automated the spread of misinformation, making it easy to create and share deepfake media and news that outpaces real information. Search engines have become the gatekeepers of reality, but their ranking systems prioritize speed, popularity, and optimization. Consequently, false information often dominates breaking news and high-attention situations. This leads to a routine spread of misinformation rather than mere confusion. This paper explores why AI-driven misinformation often sways public opinion despite the existence of detection algorithms. Detection acts as a reactive measure that cannot compete with search rankings, which favor speed and savvy SEO practices. To illustrate this, we created a trust-aware search intelligence system to examine the critical issue of mass shootings. We analyzed the information landscape by querying search results for misinformation and fake news related to various mass shootings, considering factors like SEO power, content trustworthiness through text and image-based deepfake detection, and the reliability of sources. We introduced a new measure called Ranking Harm to assess the societal damage caused by rankings, determining the risk that arises when low-trust links reach top search positions. Our approach includes a longitudinal analysis of narrative dominance, where we repeatedly queried search results about breaking news events over extended periods. We developed a large-scale monitoring system built on ELK (Elasticsearch, Logstash, Kibana) to track ranking, trustworthiness, and narrative dominance. We observed a significant first-mover advantage: the earliest optimized sites that achieve top search positions tend to entrench misinformation in the public discourse more effectively, even when algorithms later detect inaccuracies and authors make corrections. Overall, search rankings correlate much more closely with SEO power than with trustworthiness. Late corrections often fail to regain public trust once misleading information takes hold during breaking news events. AI-driven misinformation is no longer just an error to be filtered out; it will continue to influence public opinion through search rankings until we create search systems that are trustworthy and aware of timing.