About Us
The SPAR Framework is a proprietary system for Generative Engine Optimization (GEO) and Large Language Model Optimization (LLMO) proposed and used by Samuel Anan.
It is a design he uses to help brands move their products beyond traditional search rankings to become directly cited, referenced, and trusted within AI-generated answers.
Outcome: To make your content, product, or services the answer AI systems choose to deliver.
Optimizing discovery and update latency.
Clarity of entities and data accuracy.
Reinforcing trust signals and authority.
Aligning with AI-driven queries and intent.
Raw content, brand identifiers, and existing web presence are audited.
Structured entity mapping, schema design, and AI-aligned restructuring.
High-probability inclusion in LLM-generated answers and direct citation.
GEO Specialist & Architect
Samuel Anan is a Google-certified strategist specializing in AI search visibility and structured content systems. As the creator of the SPAR methodology, he bridges the gap between traditional marketing and generative engine optimization.
“In my becoming of a marketer, I realized I wanted to solve real-time challenges and position for the future rather than following traditional paths. The answer was AI.”
Owned and operated by Samuel Anan, Yieldberg Studios is the GEO powerhouse that translates the SPAR methodology into tangible results. The studio focuses on building AI-optimized content systems and developing strategies for visibility in a post-search engine landscape.