4 entries
Keyword: profoundArticle:Jen Cornwell
A study by Tinuiti and Profound examines how seven major AI platforms cite web sources across commercial search queries. The findings reveal sharp divergences among platforms, distinct behaviors across Google surfaces, and the strategic implications of platform crawler blocks by players like Amazon.
From Video: Weekly AI Updates: Local Models, GPT-6 Astra, and Agent Architectures
Article:Nick Lafferty
An analysis of 680 million citations by Profound examines where ChatGPT, Google AI Overviews, and Perplexity sourced information between August 2024 and June 2025, revealing starkly different sourcing strategies across the platforms.
From Video: Weekly AI Updates: Local Models, GPT-6 Astra, and Agent Architectures
Link:Josh Blyskal
Josh Blyskal, Head of AI Strategy & Research at Profound, shares data-driven research exploring how AI search engines like ChatGPT, Claude, and Gemini source, evaluate, and cite brands.
From Video: The State of GEO: Profound's Josh Blyskal on Tracking Frequency, Attribution, and AI Search
VideoVideo:Content and Conversation
Josh Blyskal from Profound joins Ross Hudgens to dissect current realities in Generative Engine Optimization (GEO). He discusses why prompt tracking frequency is often a distraction, how forward-thinking teams model AI attribution from server logs, and the structural retrieval differences between models like Claude and ChatGPT.
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