While on-site technical SEO still matters, the most significant impact now comes from off-site activities. Distributing a single piece of content across high-Domain Rating (DR) platforms like LinkedIn, Medium, and X provides the most leverage for ranking and visibility in the age of AI search.

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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.

Stop chasing keyword rankings. The new goal is 'search visibility'—dominating AI answers, knowledge panels, and local packs. It's about owning your brand's share of answers wherever a prospect looks, not just securing a single blue link on a results page.

Generative Engine Optimization (GEO) requires shifting from a 2D view of SEO (your site + backlinks) to a 3D model of "content clusters." This involves creating an interconnected web of assets across different platforms (YouTube, Reddit, blogs) that all reference each other and your brand to establish topical authority.

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.

A holistic strategy for AI search optimization (AEO) requires three pillars: presence in key directories (off-page), traditional content optimization (on-page), and structured data via schema.org markup (technical) to ensure the AI can read and understand your services.

The paradigm is shifting from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). The content you post now on platforms like LinkedIn will be consumed by AI models to answer future user queries, making it a critical asset for long-term visibility and authority.

AI measures authority partly by "content surface area"—your presence across multiple relevant platforms. Relying solely on one channel is a weakness. A diverse footprint across your site, YouTube, and LinkedIn signals greater authority and trustworthiness to the AI.

LinkedIn is increasingly integrated with search engines, meaning your long-form content and hashtags are now indexed and can appear in Google search results. This makes LinkedIn a key part of a broader "Always Everywhere Optimization" (AEO) strategy, not just a social selling tool.

The goal of search engine optimization has evolved beyond simply ranking for keywords. It's now about achieving 'visibility' across various platforms where users find answers, including AI tools, map packs, and review sites. This requires a more holistic strategy than traditional SEO.

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.

Modern SEO's 80/20 Is Off-Site Content Distribution, Not On-Site Technicals | RiffOn