Google's AI-driven search increasingly values brand authority, making traditional silos that separate brand/PR (reputation) from digital/SEO (traffic) obsolete. To succeed, companies must adopt an integrated strategy where content, PR, search, and social work together to build a unified brand presence across the entire customer funnel.
Earned media is a primary source for generative AI, appearing in over 60% of brand reputation-related responses according to research. This positions PR at the center of the new "Generative Engine Optimization" (GEO) landscape, creating the most significant strategic opportunity for the industry in over a decade.
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 future of search isn't just about Google; it's about being found in AI tools like ChatGPT. This shift to Generative Engine Optimization (GEO) requires creating helpful, Q&A-formatted content that AI models can easily parse and present as answers, ensuring your visibility in the new search landscape.
AI models heavily weigh earned media from credible publications when determining brand authority. With 61% of AI brand mentions coming from editorial sources, PR is no longer just a brand-building exercise but a critical technical lever for GEO, directly influencing discoverability.
With 80-90% of AI-powered searches resulting in no clicks, traditional SEO is dying. The new key metric is "share of voice"—how often your brand is cited in AI-generated answers. This requires a fundamental strategy shift to Answer Engine Optimization (AEO), focusing on becoming an authoritative source for LLMs rather than just driving website traffic.
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.
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.
Brands will need a bifurcated approach for marketing. One strategy will focus on creating authentic content for human connection, while a separate, distinct strategy must structure information to be effectively parsed and prioritized by the AI agents that increasingly intermediate the customer journey.
As users increasingly get answers from AI assistants, marketing strategy must evolve from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). This means creating diverse, authoritative content across multiple platforms (podcasts, PR, articles) with the goal of being cited as a trusted source by AI models themselves.