Success in AI search is less about perfecting on-page SEO signals and more about building a consensus view of your brand's authority across the internet. AI models validate expertise by finding consistent mentions on platforms like Reddit, YouTube, and industry publications, making a broad distribution strategy crucial.

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.

Instead of becoming the top link, AI-focused SEO involves identifying the sources Large Language Models (LLMs) learn from. The goal is to get your brand mentioned within those trusted sources, thereby influencing the AI's generated response and gaining visibility.

Every piece of content you create today is being indexed and will be used to train AI models. In the near future, when consumers ask AI bots for recommendations, the AI will pull from this content. Creating content now is a long-term strategy to ensure your brand is visible in future AI-driven search funnels.

Brands must now focus on how LLMs perceive and represent them, not just on traditional SEO. This new discipline, "GEO" or "LLM Visibility," involves managing the public web data that AI agents consume to answer user queries about brands, products, and competitors.

To appear in AI-generated answers, brands need a two-pronged strategy. First, get mentioned frequently in content that feeds the AI's historical training data. Second, achieve high rankings in classic web search results, which AI uses for real-time information retrieval (RAG).

To get mentioned in AI search (AEO), brands must be visible across numerous platforms with positive sentiment. LLMs synthesize data from diverse sources like review sites, forums, and social media, so a broad, positive, and citable online presence is crucial for training the models.

AI models use their training data to determine which brands are eligible to be recommended for a category, a concept called 'entity association'. This is based on a brand's entire digital footprint, not just a single page's ranking. Winning requires building broad market credibility.

Unlike traditional SEO, which focuses on keywords and links, GEO aims to make your brand visible in AI-generated answers. This is achieved by becoming a citable, trusted authority, which requires a blend of public relations, high-quality owned content, and technical site readiness.