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If you don't consistently publish positive, accurate content, search engines and LLMs will build your online reputation from whatever scraps they can find, which may be outdated or negative. Proactive content creation is essential for controlling your digital brand identity.
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.
Don't wait for customers to ask questions on your Google Business Profile. Proactively post and answer the most important questions your prospects should be asking. This allows you to control the messaging, demonstrate expertise, and provide valuable, structured content for both users and AI crawlers.
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.
The first impression, once a 15-second in-person judgment, is now a "digital blink": the summary an LLM or search engine provides about you. This initial online perception is formed instantly and becomes a sticky, hard-to-change narrative, making proactive online reputation management critical.
Unlike traditional search engines where "evergreen" content can perform well for years, LLMs place a higher value on the freshness of content. To stay relevant in AI-driven search, marketers must consistently update, iterate on, and expand upon their core content pieces.
A proactive content strategy involves using LLMs to discover what they don't know or misunderstand about your brand. By analyzing which prompts fail to mention your company or do so incorrectly, you can identify the highest-value content gaps you need to fill to 'educate' the AI.
When an LLM provides incorrect information about a brand, the solution is to find the source of the misinformation online (like old blog posts). The brand must then produce and promote accurate content to correct the public record, which the model will eventually absorb. It's a content and outreach problem.
Marketers must evolve from SEO to GEO, optimizing content for how brands appear in LLM results. This requires a new content strategy that treats the LLM as a distinct persona or channel, creating content specifically for it to crawl and ensuring accurate brand representation.
LLMs learn from existing internet content. Breeze's founder found that because his partner had a larger online footprint, GPT incorrectly named the partner as a co-founder. This demonstrates a new urgency for founders to publish content to control their brand's narrative in the age of AI.