YouTube Expands Ask YouTube AI into Gemini-Powered Shopping Companion

Ask YouTube is YouTube's conversational AI search feature that has been enhanced with custom Gemini models to provide shopping assistance including product comparisons and follow-up questions on watch pages.

YouTube announced significant expansions to its Ask YouTube AI conversational search feature on September 23, 2026, during the Made On YouTube event. The updates transform the tool into a shopping companion by incorporating personalized product comparisons and the ability to ask follow-up questions on video watch pages. These enhancements are powered by custom Gemini models developed by Google. The move comes as the feature has seen substantial user adoption, highlighting the growing integration of AI in video platforms for practical tasks like shopping. Industry observers note that this positions YouTube as a more direct competitor in the e-commerce space by leveraging its vast library of product review videos. The announcement builds directly on existing usage patterns and aims to make video-based research more efficient for consumers evaluating purchases.

What is the background and growth trajectory of Ask YouTube?

Ask YouTube was introduced as a way for viewers to ask questions about video content and receive conversational responses. Its usage has grown rapidly, reaching over 140 million users who engaged with the feature on the watch page in June 2026. This figure represents more than 500% growth since December 2025, according to statements from Alphabet's earnings calls. The rapid adoption indicates strong interest in AI-driven interactions with video content. Sundar Pichai highlighted this growth during Alphabet’s Q2 call, underscoring the feature's popularity among users seeking instant answers from videos. The expansion into shopping builds on this foundation by applying the same conversational capabilities to product research and purchasing decisions. Search Engine Journal reported the connection between the executive announcement and the measured user engagement numbers.

The growth can be attributed to the underlying technology that allows for natural language queries and relevant video segment identification. Users have been using it for various topics, but the new shopping focus aims to capitalize on the abundance of review and unboxing videos on the platform. This context sets the stage for the latest announcements that aim to make the experience more useful for everyday shopping needs. The feature's evolution reflects broader trends in AI where conversational interfaces are being applied to vertical use cases like commerce. YouTube's decision to expand the tool aligns with increasing demand for integrated experiences that combine content consumption with decision support tools.

What new shopping capabilities are being added to Ask YouTube?

The new capabilities focus on organizing search results for product reviews into comparison tables. These tables display product attributes and categories tailored to the user's stated preferences. For example, if a user is looking for headphones, the system might compare battery life, sound quality, and price across different models based on what the user values most. This organized presentation helps users quickly evaluate options without sifting through multiple videos individually. The feature aims to streamline the decision-making process for shoppers who rely on video reviews for information. The YouTube blog post detailed how these tools support an interactive experience that includes asking questions and follow-ups as needed through the platform.

Additionally, once a user selects a video from the recommendations, they can continue the conversation on the watch page itself. This allows for follow-up questions about the product, such as specifics on durability or comparisons to other items mentioned in the video. The interactive experience keeps users engaged with the content while providing targeted assistance. According to the YouTube blog, these tools are designed to make the shopping journey easier through an interactive experience that includes asking questions and follow-ups as needed. The approach reduces friction between discovering a review and obtaining additional details.

Overview of new Ask YouTube shopping features announced in September 2026

Feature	Description	Benefit
Comparison Tables	Organizes video recommendations into tables with attributes like price and ratings based on preferences	Quick evaluation of multiple products without manual review of each video
Watch Page Questions	Enables asking follow-up questions directly on the selected video's page	Deeper interaction without leaving the video or losing context
Personalized Recommendations	Tailors results to user preferences for product categories	More relevant shopping assistance that matches individual priorities

How do users interact with the updated shopping tools?

The interaction begins with a user posing a question about a product review through the Ask YouTube interface. The system then processes the query and presents organized video recommendations in the form of a comparison table. Users can review the attributes listed and decide which video to watch based on the summarized information. This step reduces the time spent searching and increases the efficiency of finding suitable products. The personalization aspect ensures that the tables reflect what matters most to the individual user. TechCrunch covered the announcement and emphasized how the feature turns the AI tool into a dedicated shopping companion.

1. Search for a product review using Ask YouTube by typing a question about desired items.
2. Receive a comparison table with product attributes and categories matched to preferences.
3. Click on the most relevant video to open the watch page.
4. Ask follow-up questions about the product directly on the watch page.
5. Receive answers that reference specific moments in the video for precise information.

This ordered process turns a typically passive viewing experience into an active shopping session. The ability to stay on the watch page for questions enhances convenience and maintains context from the video content. Creators of review videos may see increased engagement as users spend more time interacting with their content through these AI tools. The structured flow also encourages repeated use as shoppers refine their preferences across multiple sessions.

What technical role do custom Gemini models play in these features?

The expansions leverage custom Gemini models specifically tuned for YouTube's needs. These models handle the mapping of complex user questions to the exact second in a video that provides the relevant answer. This capability transforms passive search into an instant connection with the video content and the creator. The technology allows for precise timestamping, which is crucial for long review videos where specific details might be discussed at different points. By using these advanced models, YouTube can deliver more accurate and contextually relevant responses. The custom tuning ensures the AI understands video-specific language and aligns outputs with user intent in shopping scenarios.

Behind that growth is a custom Gemini model that maps the viewer’s most complex questions to the exact second that the video provides the answer, turning a passive search into an instant, meaningful connection with the video and with the creator.Emily Moxley, VP of Product Management for Viewer AI at YouTube

The custom nature of the Gemini models allows for better performance on video-specific tasks compared to general-purpose AI. This includes understanding the nuances of spoken content in reviews and aligning it with user queries about product features. The integration demonstrates the application of frontier AI models in real-world consumer products. TechCrunch reported on the use of these models in the context of the shopping companion announcement. The approach highlights how specialized model training can unlock new use cases in content platforms.

What are the market and stakeholder implications of this update?

For users, the update means a more seamless shopping experience integrated into their video consumption habits. Shoppers who watch product reviews can now get structured comparisons and immediate answers without switching apps or sites. This could increase the time spent on YouTube and potentially drive more informed purchasing decisions. Stakeholders in the e-commerce space may need to consider how video platforms are encroaching on traditional shopping search engines. The changes also create opportunities for brands to optimize their review content for AI-driven discovery.

Creators who produce review content stand to benefit from higher engagement as the AI directs more traffic to their videos and encourages longer interactions. The feature could incentivize more detailed and timestamped review videos to maximize the utility of the question mapping. YouTube as a company strengthens its position in the AI and shopping sectors by building on its existing user base and content library. The announcement aligns with broader industry moves toward AI-assisted commerce. Sundar Pichai's earlier comments on growth provide context for the strategic direction.

Market analysts might view this as part of Google's strategy to embed AI deeply into its services, following Sundar Pichai's comments on user engagement. The 500% growth in Ask YouTube usage suggests a receptive audience for such innovations. However, the success will depend on the accuracy of the comparisons and the relevance of the AI responses in diverse product categories. The platform's scale offers significant data advantages for refining the models over time.

How have YouTube executives and experts reacted to the new features?

Johanna Voolich, VP of Product Management for Viewer Products at YouTube, described the shopping update in detail. Her explanation highlights the organized video recommendations and the continuation of questions on the watch page. This reflects the company's focus on enhancing the viewer experience through interactive tools. The executive's comments provide insight into the intended user journey from search to purchase assistance. The statements were covered extensively in industry reporting following the event.

When searching for reviews of a specific product, you may receive organized video recommendations, such as a comparison table that includes product attributes and categories based on your preferences. Once you click on a video that interests you most, you can continue asking more questions about the product directly on the video’s watch page.Johanna Voolich, VP, Product Management, Viewer Products at YouTube

Emily Moxley emphasized the role of the custom Gemini model in driving the growth and enabling the new functionalities. Her statement points to the technical innovation behind the feature. The reactions from these leaders underscore the strategic importance of AI in YouTube's product roadmap. Search Engine Journal covered the executive announcements and tied them to the user growth metrics. The executive perspectives illustrate the internal priorities driving the product development.

What developments can be expected next for Ask YouTube and similar AI tools?

Following the September 23, 2026 announcement, further refinements to the shopping features are anticipated as user feedback is incorporated. The focus on custom models suggests ongoing investment in AI capabilities tailored to video content. YouTube may expand the types of questions supported or integrate additional data sources for more comprehensive comparisons. The platform's large user base provides ample opportunity for iterative improvements. Continued development will likely emphasize accuracy and breadth across product categories.

Stakeholders should monitor how these tools evolve in response to regulatory considerations around AI in commerce and data privacy. The success of the current rollout could lead to similar features in other Google products or expanded partnerships with retailers. Overall, the trajectory points toward deeper integration of frontier AI models like Gemini into everyday consumer interactions on video platforms. The combination of conversational search, product organization, and precise video navigation represents a significant step in making AI shopping companions practical and accessible.

As more users engage with the feature, data from interactions will likely inform future enhancements to the comparison tables and question handling. This positions YouTube at the forefront of applying advanced AI to the intersection of content and commerce. The updates demonstrate how frontier models can be customized for specific platform needs, potentially influencing similar developments across the industry. Long-term success will hinge on maintaining user trust through reliable and helpful responses.