BDM

Blended Dominance Method

The Blended Dominance Method is a framework developed by Frank Masotti for influencing how modern AI interprets and recommends businesses. Instead of focusing on outdated search engine tactics, the method focuses on how artificial intelligence understands identity, authority, and relevance across the internet.

For years, digital visibility was built around search engines ranking pages. That world is changing. Modern AI systems do not simply rank links. They interpret information, connect entities, and form conclusions about businesses. When AI systems recommend companies, they are making decisions based on how they understand a business across many signals, not just a single website.

The Blended Dominance Method was developed to address this shift. The method focuses on shaping how a business is interpreted across multiple sources so that artificial intelligence systems consistently understand what the business is, what it does, and when it should be recommended.

Rather than relying on a single tactic, the Blended Dominance Method works by aligning signals across the internet so that artificial intelligence systems encounter a consistent and reinforced understanding of a business. When those signals align, AI systems are more likely to correctly interpret and confidently recommend that business.

The Blended Dominance Method was developed by Frank Masotti after decades of working in online visibility and observing how modern AI systems interpret information. The method represents a shift away from traditional SEO thinking and toward a model focused on AI interpretation and recommendation.

Learn more about Frank Masotti at FrankMasotti.com.

Implementation of the Blended Dominance Method is performed through Masotti AI, where the framework is applied to help businesses become understood and recommended by modern artificial intelligence systems.

Learn more about implementation at MasottiAI.com.