A measurement study of 602 prompts across ChatGPT, Google AI Overview, and Perplexity finds that citation selection breadth and absorption depth diverge, with high-influence pages being longer, structured, and evidence-rich.
GEO: Generative engine optimization
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
AI coding agents produce identifiable HTTP behavioral signatures and compress multi-page navigation into one or two requests, rendering standard engagement metrics unreliable.
Deterministic multi-agent intent routing can reduce hallucinations in generative engines to near zero by limiting LLMs to intent routers and handing off tasks to specialized agents.
citing papers explorer
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From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
A measurement study of 602 prompts across ChatGPT, Google AI Overview, and Perplexity finds that citation selection breadth and absorption depth diverge, with high-influence pages being longer, structured, and evidence-rich.
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Developer Experience with AI Coding Agents: HTTP Behavioral Signatures in Documentation Portals
AI coding agents produce identifiable HTTP behavioral signatures and compress multi-page navigation into one or two requests, rendering standard engagement metrics unreliable.
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Beyond Retrieval: Modeling Confidence Decay and Deterministic Agentic Platforms in Generative Engine Optimization
Deterministic multi-agent intent routing can reduce hallucinations in generative engines to near zero by limiting LLMs to intent routers and handing off tasks to specialized agents.