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.

Treating GEO as just an extension of the SEO team is a mistake. Because AI visibility is affected by social media, partnerships, and product data, it requires a holistic strategy. The CMO must own GEO and deploy solutions across search, social, and partnership teams.

AEO is influenced by a brand's entire digital footprint, from Reddit to YouTube to LinkedIn. This counters the startup advice to focus on one or two growth channels, suggesting that a broader, more holistic marketing strategy is now necessary to win in AI search.

Winning in AI search requires a new skillset beyond technical SEO and link building. Modern search optimization teams must integrate capabilities from public relations (for authority), data journalism (for unique content), and product marketing (for clear value props), as these skills build the consensus and credibility AI models seek.

AI recommendation engines don't just care about keywords; they evaluate your entire brand's consistency, expertise, and reputation across all platforms to determine trustworthiness. This shifts the marketing focus from technical SEO tactics to building a strong, reliable brand presence everywhere online.

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.

As search behavior evolves from simple keywords to complex, conversational queries, the goal is no longer just ranking on a results page. The new metric for success is the "AI citation rate"—how often a brand's content is surfaced as the trusted, direct answer by Large Language Models (LLMs), fundamentally changing the nature of SEO.

Optimizing for AI is not a task for a single team. It requires a holistic, coordinated effort across brand, content, lead gen, and ABM teams to ensure all content is consumable by LLMs in a consistent and desirable way, preventing misinterpretation of the brand's narrative.