YouTube overhaul broadens search with ‘Ask YouTube,’ adds Gemini Omni to recreate someone else’s Shorts

Andrew Romero· May 19, 2026 · 5:53 PM UTC ·3 min read · 0 reactions · 0 comments · 27 views

TL;DR · WeSearch summary

YouTube is introducing a new feature called 'Ask YouTube' to enhance its search capabilities. This feature will allow Premium users to ask more complex questions and receive relevant video results. Additionally, the Gemini Omni model will enable users to creatively remix other creators' Shorts with generative edits.

Key facts

▪Gemini Omni will be integrated into YouTube's Shorts Remix tool, allowing users to add their own spin to other creators' videos.
▪The 'Ask YouTube' feature aims to provide a more contextual search experience, moving away from traditional keyword-driven searches.
▪Remixed videos will include AI metadata linking back to the original source, and creators can choose to disable the remix feature on their channels.

How this story was covered

2 outlets in our directory ran this story, first to last over 12 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1

▪ ‘Ask YouTube’ brings AI-powered conversational search to video, adds Gemini Omni to Shorts — TechCrunch

About this source

9to5Google files mainly under tech. We currently carry 246 of its stories.

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Original article

9to5Google · Andrew Romero

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Story provenance

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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisher	9to5Google
Canonical URL	https://9to5google.com/2026/05/19/youtube-search-adds-ask-youtube-gemini-omni-for-shorts-remix/
Publication time	Tue, 19 May 2026 17:53:00 +0000
Retrieval time	2026-05-19T17:54:57.876Z
Last seen	2026-05-19T17:54:57.876Z
Headline source	Publisher (no WeSearch rewrite)
Excerpt source	publisher body
Excerpt method	First ~120 words (~800 chars) of extracted publisher body, fair-use limited.
Summary	WeSearch · cerebras-chat (WeSearch summarizer)
Summary source text	contentText
Citation coverage	Summary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster	GlP9TwrPs32f · 2 stories
Cluster logic	Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reason	Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visit	Yes — open original
Substitutes article?	No — link-out required for full text

Rights status (four layers)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing	May the item be indexed (stored, ranked, made findable)?	Allowed
Snippet	May a short excerpt of the publisher's text be shown?	Allowed
AI summary	May WeSearch generate its own short summary of the article?	Limited
Retrieval / RAG	May the content be exposed for third-party retrieval-augmented generation?	Not asserted
Model training	May the content be used to train AI models?	Not asserted
Commercial reuse	May the content be reused commercially?	Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

// Make sure that nineto5ads exists, it will load ad once google tag exists window.nineto5ads = window.nineto5ads|| []; if (typeof adSizes === 'undefined') { var adSizes = {"leaderboard":{"mobile":[[320,50],[320,100]],"tablet":[[728,90],[320,100]],"desktop":[[970,250],[728,90],[970,70],[970,90]]},"sidebar":{"mobile":[300,250],"desktop":[[300,600],[300,250]]}}; } function getLeaderboardApstagSlotsSizes() { if ( window.innerWidth < 768 ) { return adSizes.leaderboard.mobile; } else if ( window.innerWidth < 1024 ) { return adSizes.leaderboard.tablet; } else { return adSizes.leaderboard.desktop; } } window.nineto5ads.push(function() { apstag.fetchBids({ slots: [{ slotID: "div-gpt-ad-1436850350386-0", slotName: "\/1049447\/9to5google-Top", sizes: getLeaderboardApstagSlotsSizes() }], timeout:…

Excerpt limited to ~120 words for fair-use compliance. The full article is at 9to5Google.

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