#generative-search News & Analysis

3 articles tagged with #generative-search. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 27/10

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Characterizing Web Search in The Age of Generative AI

Researchers systematically compared generative search systems (Google, OpenAI, Perplexity) with traditional Google search, revealing fundamental differences in retrieval strategies, source diversity, and output stability. Generative search synthesizes web information into coherent responses but exhibits significant variation in reliance on internal knowledge, consistency across executions, and evaluation metrics, necessitating new assessment frameworks.

🏢 OpenAI🏢 Perplexity

AIBearisharXiv – CS AI · May 297/10

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GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization

Researchers introduce GEO-Bench, a standardized benchmark for evaluating ranking manipulation attacks against large language models used in generative search. The study compares black-box and white-box adversarial attacks, revealing that simpler content-rewriting methods can match gradient-based approaches while remaining more difficult to detect.

🏢 Perplexity🧠 Llama

AINeutralarXiv – CS AI · May 275/10

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Plans for Evaluating Structured Generative Search Summaries

Researchers propose a framework for evaluating structured generative search summaries—AI-generated overviews with sections and source citations that appear above traditional web search results. The work outlines plans for implementing and testing this evaluation methodology to assess the quality and reliability of LLM-generated search summaries.