Pranjal Aggarwal
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Last updated 13 Nov 2026 · Named in 8 answers across 3 engines
Bing AI Mode starts a separate baseline. Copilot remains a separate public engine and keeps its history; changes across the switch are not like-for-like growth.
How AI engines see them
All engines agree that Pranjal Aggarwal is the lead author of the foundational research paper GEO: Generative Engine Optimization, presented at the ACM KDD 2024 conference, which formalized techniques for optimizing content in AI-generated answers. Gemini and Google AI Mode emphasize the creation of the GEO-bench benchmark and findings showing up to 40 percent visibility gains. ChatGPT uniquely lists the specific paper co-authors and notes Aggarwal's affiliation with IIT Delhi. The cited domains include metaflow.life, arxiv.org, and 5wpr.com.
- ChatGPTNot named
Pranjal Aggarwal is an AI researcher who was the first author of the research paper titled GEO: Generative Engine Optimization.
Known for- GEO: Generative Engine Optimization research
- Generative Engine Optimization foundation
- GeminiNot named
Pranjal Aggarwal is a researcher who co-authored seminal academic work introducing Generative Engine Optimization and the GEO-bench framework.
Known for- GEO: Generative Engine Optimization paper
- GEO-bench framework
- quantifying AI visibility tactics
- Google AI ModeNot named
Pranjal Aggarwal is a researcher known for co-authoring the foundational academic paper GEO: Generative Engine Optimization presented at ACM KDD 2024.
Known for- Landmark GEO study
- GEO-bench benchmark
- quantified visibility gains
- PerplexityNot named
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- Bing AI ModeNot named
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- CopilotNot named
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- #33Generative Engine Optimization (GEO)of 54Named in 13 answers
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