Stock Markets January 26, 2026

YouTube Overtakes Reddit as Top Social Source for LLM Citations, Adweek Data Shows

Video content and associated transcripts are increasingly informing large language model outputs, shifting how AI systems reference social information

By Jordan Park RDDT
YouTube Overtakes Reddit as Top Social Source for LLM Citations, Adweek Data Shows
RDDT

New data compiled from four sources and reported by Adweek indicate that YouTube has surpassed Reddit as the most-cited social platform in responses generated by large language models. Improved processing of video-related text such as transcripts and explainers has made YouTube content more accessible to LLMs, while metrics from Bluefish show YouTube cited in 16% of answers versus 10% for Reddit over the past six months. The change has implications for marketers and content strategists who previously emphasized forum-based SEO. Reddit shares were reported up 0.4% in afternoon trading on Monday.

Key Points

  • Adweek, using data from four sources, reports YouTube has overtaken Reddit as the most-cited social platform for large language models.
  • Bluefish data show YouTube cited in 16% of LLM answers over the past six months, versus 10% for Reddit.
  • Sectors impacted include digital marketing, online media, and technology companies that rely on social content discoverability.

Adweek, citing fresh data drawn from four separate sources, reports that YouTube has eclipsed Reddit Inc (NYSE:RDDT) as the leading social platform cited by large language models. The development marks a clear change in which social channels supply the human-generated material that AI systems reference when constructing responses.

Reddit had long held a dominant role because of its text-forward, forum-style format. The new report, however, finds that YouTube now appears more frequently in LLM outputs. According to metrics highlighted by Bluefish, YouTube was referenced as a source in 16% of LLM answers over the past six months, compared with 10% for Reddit over the same period.

Adweek’s coverage points to advances in how machines process video content as a key factor. Where LLMs once struggled to incorporate information from visual media, the availability of video transcripts, explainer segments, and other text-based material tied to YouTube videos has made the platform more readily readable by language models. These ancillary text artifacts have allowed video to serve as an effective channel for conveying searchable, machine-consumable knowledge.

The shift has strategic ramifications for organizations that have prioritized forum-driven search engine optimization. Brands and marketing teams that historically focused on text forums may need to reassess their content pipelines to ensure expertise is captured within the searchable and transcript-rich environment of the world’s largest video site. The data reported by Adweek suggests content strategy - particularly for firms seeking visibility in AI-generated responses - may increasingly favor video-derived assets.

Market movement tied to the report was modest: Reddit stock was described as steady and was up 0.4% in afternoon trading on Monday.

The report also includes promotional performance claims for an investment product, noting that, year to date, two out of three global portfolios are outperforming their benchmark indexes with 88% of holdings in the green. It additionally states that a flagship strategy doubled the S&P 500 within 18 months and lists past winners such as Super Micro Computer (+185%) and AppLovin (+157%).

As video-derived text becomes more accessible to LLMs, the channels that feed AI reference frameworks appear to be evolving. The reported data indicate a measurable reordering of social-platform influence in AI citations, with potential implications for content production and digital marketing priorities.

Risks

  • LLM citation patterns may shift again as processing capabilities and platform content formats evolve - this uncertainty affects marketing and advertising strategies.
  • Companies that continue to prioritize forum-based SEO without adapting to video-derived text risk reduced visibility in AI-generated outputs, impacting digital media and marketing effectiveness.

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