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.

The fundamental goal of search optimization has changed. Instead of focusing on getting a click to your website to provide an answer, brands must now aim to be included as a source in answers generated by AI, which occur on third-party platforms.

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.

AI models prioritize and learn from credible, third-party sources like major news publications. A strong PR strategy securing mentions in high-authority outlets is now more impactful for visibility in AI-generated answers than traditional SEO tactics like pay-to-play advertorials.

Traditional SEO requires significant time to build domain authority, making it a mid-stage game. AEO bypasses this; a startup can get mentioned in citations like Reddit or YouTube and immediately start appearing in LLM answers, allowing them to compete with incumbents from day one.

Unlike traditional SEO's focus on backlinks, ranking in AI search depends on the density and authority of brand mentions across diverse sources like PR, podcasts, Reddit, and review sites. AI models look for consensus in online conversations to determine which brands to recommend for specific queries.

Data from BrightEdge reveals an 83% non-overlap between results in Google's AI Overviews and the standard first-page search listings. This creates a significant opportunity for smaller brands to bypass larger, established competitors by creating content specifically tailored to the conversational queries that trigger AI answers.

Unlike traditional SEO where the top link wins, in LLMs, the answer is a summary of many sources. The brand mentioned most frequently across all citations is most likely to be recommended, even if it's not the top-ranked source. This changes the strategy from ranking to saturation.