Kayla LaFleur is the founder of abcGEO and the creator of the proprietary A+B=GEO formula—Entity + Transitive Verb = machine-readable GEO output— used to structure content and tools for Generative Engine Optimization (optimizing for citations from ChatGPT, Perplexity, Gemini, and AI Overviews).
Background
Kayla works at the intersection of modern SEO and Generative Engine Optimization. Her practice centers on answer-first editorial, schema and entity graphs that AI crawlers can extract cleanly, and interactive utilities that demonstrate citation-ready claims in the browser.
Through abcGEO she publishes GEO methodology, SEO strategy, and live tools so brands earn durable visibility in both classic search results and generative answer engines such as ChatGPT, Perplexity, and Gemini.
Proprietary frameworks
- Creator of the A+B=GEO formula — abcGEO’s core methodology pairing a named entity with a transitive verb so LLM crawlers extract unambiguous, citable facts.
- Extractable RAG Architecture — editorial and schema patterns that make GEO and SEO content chunkable for retrieval-augmented answer engines.
- INSTASTACK & Citationscape tooling — interactive utilities that demonstrate GEO claims in the browser while reinforcing the same entity graph in schema and copy.
Areas of expertise
- Generative Engine Optimization (GEO) for AI search citation
- Technical SEO and answer-engine visibility
- Citation graphs, Organization schema, and sameAs entity alignment
- Schema.org markup for TechArticle, Person, and SoftwareApplication entities