The GEO Blueprint
A five-phase methodology developed by a research team with graduate training at Columbia University, Carnegie Mellon University, and other top-tier institutions. Grounded in published research including Aggarwal et al. (KDD '24). No black boxes. Every technique explained.
Strategic Targeting
Define semantic entities and user intents. Run a 15-query prompt matrix to establish your citation baseline. Assess which GEO methods have the highest impact for your content domain.
Content Engineering
Restructure your highest-value pages using wiki-voice, golden-200-token openings, and RAG-optimized chunking. Every edit is traceable to a specific GEO technique.
Technical Deployment
JSON-LD schema, semantic HTML, llms.txt, AI-crawler access. Plus ecosystem seeding to earn the distribution and engagement signals citation engines weight alongside structure.
Testing & Red-Teaming
Run prompt matrices across ChatGPT, Perplexity, and Google AI Overviews. Test branded, category, and adversarial queries. Measure Citation Hit Rate and Top Source Rate.
Maintenance & Re-Optimization
Re-run the matrix every 4–6 weeks. Refresh content monthly. Re-assess competitors quarterly. Adapt to AI platform changes continuously.
We applied this methodology to ourselves. Every page on this site was built using the GEO Blueprint.