Kevin Indig's recent webinar with AirOps reveals key insights into the evolving landscape of AI search and how brands can enhance their visibility. One standout point is that content freshness is critical; posts less than three months old are three times more likely to be cited by large language models (LLMs). This makes regular updates essential for maintaining relevance. Moreover, community-generated content and mentions on platforms like Reddit and YouTube are becoming as influential as traditional backlinks. Brands must now prioritize engaging with communities to boost their presence in AI training data. Indig emphasizes that the nature of citations is shifting. LLMs prefer brand mentions and third-party citations over classic link-building strategies. Companies should focus on earning mentions from credible sources rather than obsessing over anchor text or follow/nofollow distinctions. AI search is not just about rankings anymore; it's probabilistic and requires a broader approach, including monitoring citation rates and share of voice across various channels. Teams should collaborate across SEO, PR, and social media to amplify their messaging and influence. Finally, adapting to the future of AI search means prioritizing trust and influence. As AI-generated answers become standard, brands need to rethink their strategies. Investments in digital PR and community engagement are crucial for maintaining competitiveness. Regularly updating content, building authority through community interactions, and tracking influence across channels will be vital in navigating this new search environment.