
YouTube doubles down on video shopping with AI-powered ‘Ask YouTube’ feature
“Ask YouTube,” the video site’s newer AI-powered conversational search feature, will become a shopping companion, the company announced on Wednesday at its Made on YouTube event. Ask YouTube began as an experiment in conversational search, before becoming a larger part of the YouTube experience. The feature allows anyone to search YouTube using natural language requests, including with queries that are more complex and detailed than in traditional search.
- ▪“Ask YouTube,” the video site’s newer AI-powered conversational search feature, will become a shopping companion, the company announced on Wednesday at its Made on YouTube event.
- ▪Ask YouTube began as an experiment in conversational search, before becoming a larger part of the YouTube experience.
- ▪The feature allows anyone to search YouTube using natural language requests, including with queries that are more complex and detailed than in traditional search.
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Story provenance
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 | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/23/youtube-doubles-down-on-video-shopping-with-ai-powered-ask-youtube-feature/ |
| Publication time | Wed, 23 Sep 2026 14:30:00 +0000 |
| Retrieval time | 2026-09-23T14:34:30.866Z |
| Last seen | 2026-09-23T14:34:30.866Z |
| 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 | S9yep0Ti2__F · 1 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)
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.
Opening excerpt (first ~120 words) tap to expand
“Ask YouTube,” the video site’s newer AI-powered conversational search feature, will become a shopping companion, the company announced on Wednesday at its Made on YouTube event. Ask YouTube began as an experiment in conversational search, before becoming a larger part of the YouTube experience. The feature allows anyone to search YouTube using natural language requests, including with queries that are more complex and detailed than in traditional search. YouTube will then compile a set of results that may include both Shorts and long-form videos, guiding you through topics like step-by-step travel plans, guides to learning a new skill, or a series of recommedations around a particualr topics.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.