Generative Engine Optimization (GEO): The Complete AI-Era Playbook
How to structure answers, format quotable chunks, and win brand citations across Google AI Overviews, Perplexity, and ChatGPT.
Read publication →Praveen Sharma is a search strategist and technical growth engineer based in India with over a decade of hands-on experience scaling organic properties. Since the advent of large language models in search (Google SGE / AI Overviews, Perplexity, and conversational agents), Praveen has focused on reverse-engineering multi-modal retrieval pipelines, semantic entity graph architecture, and brand citation velocity.
At seohack.in, Praveen oversees all original testing methodologies, ensuring every case study is grounded in raw data, verifiable screenshots, and strict human-in-the-loop editorial standards.
How to structure answers, format quotable chunks, and win brand citations across Google AI Overviews, Perplexity, and ChatGPT.
Read publication →Our first-party study investigating the relationship between 40-60 word direct definitions and generative answer inclusion.
Read publication →Tracking 1,420+ AI crawler hits to measure whether machine-readable markdown context improves semantic entity accuracy.
Read publication →The strict 100-point rubric and human-in-the-loop verification rules that govern content production on seohack.in.
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