Influencing AI results isn't about traditional SEO tactics. It's about getting your brand mentioned in the sources AI models are trained on, like Reddit, industry publications, and news articles. The most effective way to achieve this is through modern PR and consistent social media activity, as journalists and writers use these platforms for discovery.

As users shift from keywords to conversational prompts in AI browsers, SEO strategy must also evolve. The focus should be on creating 'answer-ready' content that directly and comprehensively addresses likely user questions, positioning your brand as a primary source for the AI to cite.

The traditional goal of winning hearts and minds is now a two-step process. Marketers must first win over the "machines"—search algorithms and LLMs—that control 85% of content discovery, treating them as an influential, gatekeeping audience.

The audience for marketing content is expanding to include AI agents. Websites, for example, will need to be optimized not just for human users but also for AI crawlers that surface information in answer engines. This requires a fundamental shift in how marketers think about content structure and metadata.

Following SEO, App Store Optimization, and social virality, the next major distribution channel is AI answer engines. Product teams must now strategize how to get their brand, features, and knowledge base indexed and surfaced in AI responses, making AEO a critical growth lever for the modern era.

In an AI-driven world, optimizing for website traffic is a losing game. A better long-term strategy is to create high-value content (podcasts, videos, newsletters) across various platforms. This approach helps people directly and simultaneously feeds the large language models that are increasingly becoming information gatekeepers.

As AI devalues simple clicks, marketing focus must shift to building a strong brand that algorithms recognize as authoritative. High-quality, well-structured owned content (like blogs and reports) becomes more critical for discoverability than traditional performance marketing tactics.

The paradigm is shifting from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). The content you post now on platforms like LinkedIn will be consumed by AI models to answer future user queries, making it a critical asset for long-term visibility and authority.