Google Ads AI Video Ads: New Transparency Labels, AI Mode Placements, and Video Expansion in 2026

Google’s New AI Transparency Labels for Video Ads

The key change is that Google now requires advertisers to disclose when generative AI was used to create or alter an ad, including video ads on YouTube and other surfaces. This disclosure appears in a new “How this ad was made” panel within My Ad Center, accessible via the three-dot menu on ads across Search, YouTube, and Discover. The feature started rolling out in early July 2026, as announced on the Google Ads & Commerce Blog.

Advertisers using Google’s own generative AI tools (e.g., Performance Max with AI assets or Demand Gen with AI video creation) will have ads automatically labeled. Those using third-party AI tools must manually mark their assets as AI-generated or edited via new settings in Google Ads, Display & Video 360, and related platforms. Detailed instructions are available in Google Ads Help.

TechCrunch covered the announcement, noting that the policy shift comes amid broader scrutiny of AI-generated content in advertising. The auto-labeling applies to any ad created or altered with generative AI, not just video, but video ads are especially impacted given the prevalence of AI tools for video creation. As TechCrunch reports, the feature aims to build trust with viewers who want to know if an ad was made by a human or an algorithm.

How It Works for Video Ads

For video ads on YouTube, the process is straightforward:

• Auto-labeling: If you create a video using Google’s generative AI tools within Google Ads, the system automatically adds a disclosure. This includes AI-generated scripts, voiceovers, or video clips.
• Manual labeling: If you use third-party generative AI tools (e.g., Runway, Synthesia, or custom models), you must check a box in the ad settings to declare the use of AI. Failure to do so could result in policy violations.
• Disclosure display: Users see a “How this ad was made” label on the ad, which opens a panel explaining which parts involved AI. An example screenshot from the SERoundtable article shows a consumer electronics ad with the disclosure “This ad was created with generative AI.”

The labels are gradually rolling out worldwide, and advertisers should update their workflows now to avoid compliance gaps.

Expanded Video Ads Across Search, Shopping, and Image

In another major development, Google is expanding video advertisements across Search, Shopping, and Image results. This shift creates new opportunities for advertisers to use video earlier in the buying journey, beyond traditional YouTube placements. According to a Yext summary of search news, this expansion allows marketers to engage users with immersive, brand-focused content before they click through to a landing page.

For instance, a video ad for a travel destination could appear in Search results when a user searches for “best beach vacations,” or in Shopping results for a specific product. The Image expansion means that image search results may now include video thumbnails that autoplay. This is a significant change because video ads were previously limited to YouTube and Display Network placements.

Implications for Advertisers

Advertisers need to:

• Create video assets optimized for non-YouTube surfaces (e.g., shorter, visually striking, with captions for auto-play).
• Adjust bidding strategies for video view vs. conversion goals on these new placements.
• Ensure video content complies with the new AI transparency labels, as any AI-generated video used across these surfaces must be disclosed.

The exact rollout timing varies by market, but early adopter reports indicate availability in English-language markets from July 2026.

Google Ads Appearing in AI Mode

Google Ads are now surfacing inside AI Mode, the company’s AI-powered conversational search experience, as testing expands. This is a strategic shift in how Google integrates sponsored content with AI-generated answers. The Yext search news post highlights that this development reshapes visibility and click-through rates, as users interacting with AI Mode see ads alongside AI-synthesized information.

For video ads, this means that a user asking “Which hiking boots are best for wet conditions?” might see an AI-generated answer with a sponsored video ad from a hiking boot brand. The ad appears in a separate section from the AI answer but is clearly labeled as sponsored.

What This Means for Video Advertisers

• Video ads in AI Mode are currently limited to text and image ads, but Google is testing inline video ads that play within the AI response.
• Advertisers should consider creating video content that answers specific questions, as AI Mode surfaces ads based on semantic matching rather than exact keywords.
• The transparency labels will apply here too, so any AI-generated video in AI Mode must be disclosed.

AI Max Search Match Type Offers New Transparency

Google Ads has introduced an “AI Max” search match type in the Search Term Report. This new match type gives advertisers enhanced visibility into performance data for AI-driven keyword matching, which previously was less transparent. The Yext summary notes this allows better optimization strategies. For video ad campaigns that use broad match or dynamic search, AI Max helps advertisers see which queries triggered video ads, enabling more refined audience targeting.

This is particularly useful for video ads in Search and Shopping because it shows exactly how Google’s AI interpreted the ad’s intent and matched it to search queries. Advertisers can then adjust video thumbnails, titles, or targeting to improve performance.

Google Ad Manager’s AI Chatbot: Ask Ad Manager

To help publishers navigate the evolving ad landscape, Google Ad Manager has launched “Ask Ad Manager,” a Gemini-powered chatbot in beta. The tool helps diagnose campaign delivery issues, analyze performance, and navigate the platform efficiently. As reported by Agile Brand Guide, the chatbot aims to reduce support time and improve publisher self-service. For video ad publishers, this means faster troubleshooting when video ad fill rates drop or delivery anomalies occur.

Comparison of Google’s AI Ad Disclosure Requirements

Element	Auto-Labeled (Google AI Tools)	Manual Label (Third-Party AI Tools)
Trigger	Ad creation via Google’s generative AI (e.g., Performance Max, Demand Gen)	Any third-party generative AI used in creation or alteration
Disclosure Location	“How this ad was made” in My Ad Center	Same panel, but advertiser must declare
Ad Formats Affected	Video, image, text, responsive ads	All formats, especially video
Compliance	Automatic; no action needed	Mandatory manual checkbox in Google Ads settings
Verification	Google confirms AI usage internally	Advertiser attests to AI use; Google may audit

What Advertisers Need to Do Now

To stay compliant and take advantage of the new features, advertisers should:

1. Update labeling workflows: Ensure all team members using third-party AI tools know how to mark assets. Refer to the Google Ads Help guide.
2. Audit existing campaigns: Check current video and image ads for undisclosed AI content. Retroactively label where needed.
3. Create video for new surfaces: Start producing short, impactful video ads optimized for Search, Shopping, and Image placements.
4. Monitor AI Mode placements: Test video ads in AI Mode in early adopter markets to learn click-through rates and conversion patterns.
5. Leverage AI Max reporting: Use the new match type to refine video ad targeting based on search query data.

As the July 2026 rollout continues, advertisers who act early will have a competitive advantage. The combination of expanded video real estate and mandatory transparency is likely to increase trust among consumers while enabling more precise targeting.

For a weekly wrap-up of these changes and more, see the SERoundtable video recap, which covers AI labels, video expansion, and other Google Ads news.