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Tag: AI Ads

OpenAI’s Next Move: ChatGPT Ads for Boosting Conversions
As someone who’s always on the lookout for innovative marketing solutions, I’m thrilled to share that OpenAI is venturing deeper into the world of performance advertising. They’re gearing up to offer conversion-driven ads through ChatGPT, complete with tracking tools and a pay-for-success pricing model.

This shift brings OpenAI into the same competitive space as Google and Meta. By focusing on small to mid-sized businesses intent on generating leads, bookings, and sales, they are targeting a market that prioritizes tangible results over mere impressions.

What’s happening? From what I’ve gathered, OpenAI has been communicating with advertisers and ad tech companies about attracting smaller local businesses. This includes enterprises like dry cleaners, car washes, and those based on appointments.

Ad formats are being crafted to inspire direct actions such as:
- Purchases,
- Appointment bookings,
- And contact form submissions.
Those who test these ad formats will only incur costs when the desired actions occur. This aligns ChatGPT advertising more closely with traditional performance marketing models.

Why this matters to us. OpenAI is escalating beyond experimental AI ads, building a performance-focused advertising ecosystem that rivals Google and Meta. By incorporating conversion-based pricing, pixels, and API tracking, ChatGPT is poised to become a dynamic player in lead generation, bookings, and e-commerce advertising.

The infrastructure behind it. OpenAI is also developing the necessary framework to validate ad performance.

Advertisers, in order to test their campaigns, will need to implement OpenAI’s ad pixel on their websites. This will help track user interactions following ad engagement. Furthermore, advertisers are urged to connect their internal systems through OpenAI’s API, enabling continuous conversion and customer action data flow.

Such a setup mirrors the established ad-tech environments long utilized by platforms like Google and Meta.

The bigger picture. In pushing towards conversion-centered advertising, OpenAI marks a significant shift of AI platforms from being mere informational tools to becoming transactional ecosystems.

Should this venture prove successful, ChatGPT could evolve into more than a discovery platform, transforming into a lead generation and commerce hub actively competing for performance ad budgets.

What to keep an eye on. Measurement accuracy might soon arise as the biggest hurdle for OpenAI’s advertising trajectory. Given the current vulnerability of pixels to browser restrictions and ad blockers, API-driven conversion tracking could gain prominence for advertisers aiming to validate ROI within AI-driven ad experiences.

First seen. The conversation around this development started when Digital Marketer Glenn Gabe shared insights from The Information article, available on X.

Dig Deeper. For more detailed information, check out OpenAI Targets Smaller Advertisers With New ChatGPT Ads (subscription needed).

Inspired by this post on Search Engine Land.
May 26, 2026
Google’s AI Evolution: Transforming Ads Into Engaging Conversations
Have you ever noticed how ads are transforming from simple clicks to engaging conversations? Google’s latest AI advancements have unveiled an incredible shift in how we interact with advertising, challenging our perceptions of visibility, trust, and the role of marketers.

Google Ads Liaison Ginny Marvin recently penned a detailed piece on over 40 new innovations spanning Google Ads, Analytics, AI, and more. While these updates cover everything from conversational AI to predictive attribution, the underlying narrative reveals a more profound transformation.

I see Google consciously reshaping the advertising landscape to focus on intent prediction, AI-driven decision-making, and automation that qualifies users even before they become customers.

These innovations are poised as solutions to a familiar marketer’s challenge: bridging the gap between generating leads and generating valuable leads.

Google wants ads to become conversations

A telling example of this shift is the Business Agent for leads. By integrating conversational AI within Search Ads, Google’s moving away from traditional click-through interactions.

Marvin notes that prospective customers will now be able to ask specific questions about services or pricing directly within the ad. This shift deeply impacts the role of ads by embedding interaction and qualification into the experience itself.

Historically, lead generation was straightforward: click, land on a page, and fill a form. Now, AI is enhancing the process by embedding layers of qualification and assurance right in the ad experience.

For businesses in trust-critical sectors like finance or healthcare, this evolution could significantly reshape lead quality dynamics.

Intent over Volume

Marvin’s updates steer towards optimizing predicted business results rather than merely conversion volumes.

With new tools like lead intent scores and journey-aware bidding, Google aims at reducing ineffective leads within the pipeline.

The approach solves the industry’s pain point of focusing solely on cheap conversions that add little to the client base.

However, with more aspects of qualification and forecasting handled by Google, advertisers might lose transparency in decision-making processes, an important consideration in the AI-driven era.

AI Max: Evolving Performance

AI Max signifies how Google’s AI-driven optimization is sweeping through Search. It applies extended algorithmic exploration to campaigns, broadening targeting and uncovering new opportunities beyond traditional pathways.

While ecommerce players with strong data may find new scale opportunities, lead generation marketers without robust offline conversion data might face higher risks.

This phase of rollout, echoing early Performance Max challenges, underlines the need for advertisers to back automation with rich, business-quality signals.

Rich data integration is critical as AI systems only optimize based on received data, highlighting why offline conversion tracking and CRM integration are now pivotal in Google Ads strategy.

Predictive Measurement at the Core

An understated yet crucial change is Google’s pivot to predictive measurement models, linking ad exposure to future behaviors.

Tools like Attributed Branded Searches go beyond historical data, estimating potential future outcomes.

Such foresight promises insights into long buying journeys but also fosters reliance on opaque AI forecasts.

The strategic debate looms over the trade-off between automation efficiency and advertiser visibility.

Revolutionizing Creative Production

Marvin’s insights suggest Asset Studio’s rise as an AI-driven creative production powerhouse. Google aspires to unify creative development, analysis, optimization, and testing into a single workflow.

This can alleviate bottlenecks for lean teams, but as AI democratizes creativity, real differentiation will hinge on brand strategy and deep audience insights over sheer production prowess.

The Bigger Picture

While some of these enhancements might appear incremental, collectively, they mark a substantial evolution within Google Ads. Google’s crafting itself into the backbone of contemporary advertising decision-making.

Ultimately, the task for advertisers is finding the right balance between embracing automation and retaining strategic insight.

Though AI promise advancements and opportunities, understanding key signals, genuine business outcomes, and when to rely on human insight will define long-term success.

Dig deeper:
- 42 Launches Redefining Lead Generation
- Google Marketing Live 2026: Everything you need to know
Inspired by this post on Search Engine Land.
May 26, 2026
OpenAI Enhances Ads Manager with Fresh Budget and Geo Features
The latest updates to ChatGPT Ads are empowering me as an advertiser with greater control over how I manage my campaigns, especially when it comes to pacing, location targeting, and engaging with ads more effectively.

OpenAI’s recent rollout of updates to the Ads Manager Beta is expanding my capabilities in the realm of campaign pacing, targeting, and reporting. They’re also quietly testing intriguing new ad experiences within ChatGPT.

With these ongoing enhancements, OpenAI is clearly investing in building a robust advertising platform. This makes ChatGPT an increasingly attractive channel for both performance and brand advertising.

What’s new in Ads Manager Beta:

Daily Budgets are Here. Now, I have the option to choose between a daily or a lifetime budget when setting up new campaigns.

Currently, daily budgets apply only to newly launched campaigns. This change provides me with the flexibility to better manage pacing and spending, especially for ongoing campaigns or those requiring tighter control.

Enhanced Geo Targeting. OpenAI is introducing more detailed location targeting options across the U.S.

Now, I’m able to target campaigns by state, designated market area (DMA), and zip code, allowing for more precise audience targeting.

These targeting settings can be applied either during campaign setup or modified later within campaign settings. This update aligns ChatGPT’s ad tools more closely with familiar location controls on platforms like Google and Meta.

Aggregate Totals in Reporting Views. Now, the Ads Manager table views display aggregate totals for essential metrics such as impressions, clicks, and spending.

Having these totals available across campaign, ad group, and ad-level reporting views helps me quickly assess performance without the need for data exports.

Testing New ChatGPT Ad Experiences. In tandem with the Ads Manager updates, OpenAI has begun testing new ad experiences within ChatGPT.

Some ads now feature dynamic calls-to-action (CTAs) such as:
- “Shop Now”
- “Book Now”
- “Sign Up”
- “Learn More”
OpenAI indicates that CTAs are automatically chosen based on ad creative and destination experience, with the possibility of advertiser controls for CTA selection in the future.

OpenAI describes this feature as a lightweight enhancement aimed at improving user understanding and engagement with ads seen in ChatGPT.

Why I Care. Essentially, these updates show that OpenAI is committed to developing a sophisticated, performance-driven ad platform within ChatGPT.

With features like daily budgets and detailed geo-targeting, I’m armed with greater spend and target audience control. These tools are indispensable for mature advertising platforms.

The introduction of dynamic CTAs indicates that OpenAI is optimizing ads for higher engagement and conversion, paving the way for performance-centric ad formats in the future. For brands like ours dipping our toes into AI-native advertising, these updates signal that we’re moving beyond initial testing phases to establish ChatGPT as a viable media channel.

Inspired by this post on Search Engine Land.
May 22, 2026
Discover Google’s Innovative Conversational Ads in AI and Search
I’m excited to share that Google is testing new conversational ad formats, powered by Gemini, across AI Mode and Search. This development is aimed at making ads more contextual and engaging, bringing a fresh approach to advertising.

The introduction of these Gemini-powered formats was revealed at Google Marketing Live 2026. With these new ad experiences, ads are intended to feel more conversational, contextually relevant, and genuinely helpful to users like you and me.

Driving the news: Google announced exciting additions to AI-powered Search ads. These include Conversational Discovery ads, Highlighted Answers, AI-powered Shopping ads, and the Business Agent for Leads. All these are part of Google’s strategy to integrate Gemini deeper into its Search and advertising framework.

Conversational Discovery ads are really innovative! Imagine asking a question about making your home smell like a spa, and right there in AI Mode, you see creative solutions generated with Gemini that perfectly match your query.

How it works: Google’s Gemini models analyze what you’re really asking and create ad content that fits the conversation. These ads come with an AI explainer that helps you understand the product or service better, integrating it with what the advertiser wants to tell you.

I’m particularly intrigued by the Highlighted Answers, where relevant ads pop up right within AI-generated recommendations. It feels like a natural extension of the conversation!

Additionally, Google is rolling out AI-powered Shopping ads for significant purchase decisions like buying a new TV or home appliance. Gemini steps in to create unique explainers that highlight why a product might be perfect for your needs.

Business Agent for Leads takes interactivity to a new level by embedding an AI chat experience in lead generation ads. Instead of completing static forms, you can chat with a Gemini-powered agent to learn more, directly informed by the sponsor’s website.

Moreover, Google is expanding its Direct Offers pilot, bringing features like promotion bundling, native checkout for UCP merchants, and AI-generated offer recommendations to the table. This ensures offers are tailored to what you might actually be shopping for!

Why we care: These updates represent a paradigm shift in how ads are rendered in AI-powered Search ecosystems. By focusing on conversational discovery and intent-rich interactions, I believe Google is paving the way for advertisers to better connect with their audiences.

It’s crucial for advertisers, who adapt quickly to these new ad formats, to optimize experiences that resonate better, potentially gaining an edge as user search habits evolve.

What to watch: As the rollout continues, I’ll be keeping an eye on how these conversational placements impact metrics like click-through rates and conversions. The broader implications for monetizing search with AI are enormous!

For those wondering when they can see these innovations: Conversational Discovery ads and Highlighted Answers are currently in testing phases in the U.S. on both mobile and desktop platforms. Meanwhile, AI-powered Shopping ads and the Business Agent for Leads feature are expected to unfold soon, starting in open beta for U.S. businesses.

Dig deeper: If you’re interested in more groundbreaking updates from Google Marketing Live 2026, check out these stories:
Inspired by this post on Search Engine Land.
May 20, 2026
ChatGPT Ads: Impressive Engagement but Scaling Concerns
I recently came across some fascinating insights regarding ChatGPT ads. The initial data indicates these ads are showing strong engagement, particularly with queries demonstrating intent, like Mother’s Day inquiries, which are driving more ad exposure.

According to SimilarWeb, ChatGPT ads are currently outperforming traditional benchmarks in engagement. However, the existing ad inventory is quite limited, and testing has been conducted on a relatively small scale, so it’s too early to label this as a long-term trend.

What’s Happening: The early analysis highlights that ads in ChatGPT conversations generate impressive click-through rates, surpassing Display and Podcast channels, likely due to high-intent user queries and the natural integration of ads within conversational responses.

These ad placements are uniquely integrated into conversational answers, making them feel more like part of the content instead of being disruptive.

Why We Care: If these CTRs can be sustained on a larger scale, ChatGPT may evolve into a powerful performance channel, particularly valuable for advertisers aiming to connect with users during moments of high intent.

However, there’s a catch to be mindful of: the ad inventory is still restricted, and early performance metrics often appear more positive before broader rollouts introduce competition and variability.

Between the Lines: Although high CTRs are promising, they don’t automatically translate into high performance. The ultimate factors will be conversion quality, cost efficiency, and scalability to determine if ChatGPT ads can compete with established platforms like Google Ads.

Furthermore, the novelty of the format might lead to higher user engagement simply because it’s a new experience.

Zoom In: Some ad categories are showing stronger results than others. For instance, prompts related to Mother’s Day are triggering ads about three times more often than average, showcasing a strong intent to purchase. Brands like Etsy and Nordstrom are already experiencing notable visibility in this space.

What to Watch:
- Whether CTRs maintain their levels as the ad inventory grows
- Comparisons of conversion rates to other platforms like search and social media
- Evolution of pricing models beyond the initial testing phases
Bottom Line: Although ChatGPT ads have shown strong initial engagement, advertisers should remain cautious. Until more comprehensive data regarding scale, costs, and conversions are available, it’s wise to view ChatGPT as a promising test channel rather than a stable, established one.

Dig Deeper: Advertising in AI: Insights from Real User Behavior

Inspired by this post on Search Engine Land.
May 5, 2026
Unlocking Insights from ChatGPT Ads: What You Need to Know
I’ve been closely following the fascinating world of ChatGPT ads, and I’m thrilled to share what I’ve learned. Adthena is tracking over 50,000 daily ad placements from more than 600 advertisers. Let’s dive into what this means for our campaigns.

The ChatGPT ad trial is currently live in the U.S., and it’s moving along faster than I expected. Launched on February 9 for users on Free and Go tiers, it now boasts participation from over 600 advertisers.

With a massive user base of 800 million active weekly users, it’s only a matter of time before ChatGPT ads see a global rollout.

I’ve heard from OpenAI that the next wave will expand to Australia, New Zealand, and Canada. From our trialists’ feedback, it looks like the UK might see ads by mid-May.

Tracking these ad placements since their rollout has given me a front-row seat to their evolution. With an index capturing 50,000+ daily placements across sectors like B2B software, ecommerce, fintech, and consumer verticals, here’s what I’ve discovered.

Here’s what ChatGPT ads look like: They appear inline within conversation responses. Imagine asking about the “best weekend getaway” or “top running shoes under $100,” and a sponsored result labeled “Sponsored” pops up alongside the AI’s answer.

Unlike a search bar, ChatGPT is a conversation. Users come already engaged and researching, often on the brink of a decision. The format is more concise than traditional search — just a headline, brief body, and a destination, with no sitelinks or extensions.

Here’s a surprising discovery: what I term the “Double Parked” phenomenon, where a single brand like New Balance appears twice in one ChatGPT response. This unique visibility aspect opens discussions on frequency and owning conversations on the platform.

This is a unique moment with new formats and a largely untapped landscape, presenting data that most competitors don’t yet have. Here’s what I’ve found from over 50,000 daily placements:
1. Headlines often follow a “Brand: Benefit” formula. Think “Betterment: 5.25% APY Cash Account.” This is a common thread among top performers.
2. Most ads begin with the brand name. This reflects the deeper intent of users already engaged in a conversation.
3. Headlines average just 30 characters, peaking at 36. This forces brief, impactful messaging.
4. Body copy uses around 19 words. Usually two precise sentences: one proof point, one call to action.
5. Context mirroring is key. Top ads reflect the user’s query directly, enhancing relevance.
6. The $ symbol boosts conversions. Specific financial figures and rates outperform vague promises.
Brands thriving in this space don’t just reuse their Google ad copy. They tailor ads for an engaged, decision-oriented audience. Leading with the brand, anchoring offers in specifics, and minimizing friction are essential.

The biggest consideration? Visibility. If competitors are in these conversations and you’re not, you miss more than clicks — you miss part of the dialogue itself.

Adthena’s ChatGPT Ads Intelligence offers a solution. It goes beyond impressions and clicks, giving insight into your ad presence, competitors, and performance. Here’s what to expect:

The Ads Performance tab provides live snapshots of your activity, while Topics and Keywords Analysis offers tactical recommendations for improving your ad presence.

Understand competitor strategies through Competitor Creative Analysis, and never miss shifts in the competitive landscape using the Ads Benchmarking tab. This is how you find gaps before your competitors do.

As OpenAI expands, scaling up your ChatGPT presence can provide a head start in a rapidly changing competitive field. Don’t let competitors win the first prompt. Join Adthena’s waitlist or use their free ChatGPT AdBridge to optimize your campaigns and seize the opportunity now.

Inspired by this post on Search Engine Land.
May 1, 2026
Boost Your Ad Campaigns with Google’s AI Text Rule Cloning

I’m excited to share some fantastic news for advertisers using Google Ads! They’ve introduced a new feature that lets us scale AI-generated ads quickly while keeping our brand’s voice consistent and under our creative control.

Google is granting us more influence over AI-generated ad copy, paving the way for us to expand our campaigns efficiently without compromising our brand consistency.

What’s happening: Google Ads is testing a beta feature where we can reuse text guidelines from existing campaigns. This means we don’t have to start from scratch each time, simplifying the process of maintaining brand rules.

How it works: With just one click, I can apply the approved tone, style, and messaging rules from one campaign to another, keeping AI-generated ads on-brand and cutting down on setup time.

Why we care: This feature is a game-changer, allowing me to launch campaigns faster while ensuring brand consistency across various accounts with multiple campaigns running at once.

Between the lines: It’s clear there’s an increasing demand among us marketers to “train” AI systems. This shift allows us to turn brand guidelines into reusable inputs, steering automation with more precision.

Bottom line: AI is accelerating the ad creation process, but what sets us apart is maintaining control, and Google is starting to return more of that control to us advertisers.

First spotted: This update first came to my attention through Paid Media expert Arpan Banerjee, who shared his find on LinkedIn.

Inspired by this post on Search Engine Land.

April 7, 2026
How AI Ads are Revolutionizing Sales Growth for Brands
I recently discovered that Google’s transition to AI-powered ads is transforming how brands engage with consumers, significantly boosting their performance in search results.

Google claims these AI-driven advertising tools are yielding impressive outcomes, with some retailers reporting substantial increases in sales as Google continues to innovate the functionality of ads within AI-driven searches.

The big picture. The anticipated disruption of Google’s search by AI chatbots like ChatGPT hasn’t happened. Instead, Google’s ad revenue continues to rise, illustrating that AI is enhancing search dynamics rather than replacing them.

By the numbers:
- Alphabet Inc. exceeded $400 billion in revenue by 2025.
- Q4 ad revenue jumped 13.5% YoY to $82.28 billion.
- YouTube ads saw a nearly 9% YoY climb, reaching $11.38 billion.
What’s happened. Google is integrating ads into its AI-powered search features, such as AI Mode using Gemini, while unveiling ad formats tailored for conversational searches. A new ‘business agent’ initiative helps brands like Poshmark and Reebok manage their AI representation.

Driving the results. Innovative campaigns, like Performance Max and AI Max, align ads with more nuanced conversational search intents. Google notes that AI Mode queries tend to be two to three times longer, providing better context and connecting users with fitting products. Aritzia, for example, has seen an 80% rise in revenue with AI Max.

How it works. The AI system assesses a retailer’s website and creative assets, interpreting user intent from conversational searches. It matches products and messages dynamically and in real time, crucial as 15% of daily searches are entirely novel.

Why we care. Google’s evolution from keyword-focused to intent-driven and AI-matched advertising enables more precise consumer engagement when they’re ready to purchase. As search becomes increasingly conversational, AI-powered ad formats are essential to stay competitive.

Zoom in. Google is exploring new formats like ‘direct offers’ which personalize promotions when users show buying intent. Using Gemini, these trials with brands like E.l.f. Beauty, Chewy, and L’Oréal analyze conversational context and behavior.

Commerce push. Google is advancing its commerce agenda with a Universal Commerce Protocol developed with Shopify, facilitating purchases directly within AI interactions.

Yes, but. Google isn’t alone in exploring AI-driven search ads. Early results vary; Amazon reports limited success with its AI shopping assistant, and OpenAI and Perplexity AI are navigating their monetization strategies.

What they’re saying. Google presents itself not as a retailer but as a ‘matchmaker,’ emphasizing how AI creates more relevant, personalized ads while allowing brands to control their message and foster user trust by displaying the right product at the perfect time.

What’s next. Though Google has no immediate plans to insert ads directly into Gemini, it will continue enhancing ad offerings within AI Mode, focusing on personalized promotions and AI-driven shopping experiences.

Bottom line. AI isn’t replacing traditional search; instead, it’s reshaping it. For Google, that means more conversational, targeted, and sometimes much more profitable advertising.

Dig deeper. Curious for more insights? Discover how Google’s AI ads are achieving an 80% sales boost for some brands here.

Inspired by this post on Search Engine Land.
April 7, 2026
How Clarity Beats Creativity in ChatGPT Ad Performance
I recently delved into an intriguing analysis by Adthena, which examined over 40,000 daily ChatGPT ad placements. What stood out to me was how these ads are evolving into a streamlined, high-intent messaging format, specifically tailored for users who are already deep in the decision-making process.

The big picture: ChatGPT ads are gravitating towards a style that’s concise, well-structured, and highly contextual. This approach emphasizes precision over persuasion, signaling a shift from traditional creative advertising to real-time, intent-driven assistance.

By the numbers:
- The average headline is just 30 characters long, consisting of about 5 words.
- Body copy averages 116 characters and roughly 19 words.
This makes it clear that every word needs to be purposeful, enhancing clarity or directly driving conversion.

What’s working: The dominant pattern I observed involves a “Brand: Benefit” headline structure, which clearly delineates the brand name from the value proposition. This works well because users in conversational settings prioritize immediate clarity over intrigue.

In this environment, brand recall is essential, especially as ads often start with the brand name—ideal for users evaluating rather than discovering options.

Headlines have become succinct, resembling functional labels more than traditional slogans. This brevity continues in the body copy, usually composed of two concise sentences: one proving a point and another offering a subtle prompt.

Context mirroring has emerged as a distinguishing feature. The best ads expertly reflect a user’s query or environment, suggesting real-time message tailoring—a level of AI-native targeting that transcends basic keyword matching.

Concrete value signals are vital. The dollar symbol and specific numerical claims, such as prices or performance metrics, significantly outperform generic promises. Numbers naturally instill credibility, which is crucial in a context where users are actively researching and comparing.

Low-friction offers—like trials or demos described with the word “free”—are the most effective conversion drivers. They lower the commitment threshold for users still exploring options.

Calls to action are direct and action-focused, using phrases like “Shop now,” “Compare,” or “Book,” steering away from generic prompts like “Learn more.”

The overall tone is calm, confident, and measured, with minimal punctuation like exclamation points or question marks. This aligns more with the voice of helpful guidance than traditional advertising hype, allowing ads to blend naturally into conversational contexts.

Why we care: ChatGPT ads target users with high intent, where clarity and relevance trump creativity or storytelling. In a conversational space, ads compete against genuinely helpful answers, so precise and value-driven copy truly stands out.

This brings advantages to early adopters as the format becomes standardized, rewarding those who use shorter, structured messaging.

Between the lines: While ChatGPT ads share characteristics with paid search—focused on intent and relevance—they must seamlessly fit into dialogues, respond to users with high intent, and present messages that feel supportive rather than disruptive.

The takeaway is that success in ChatGPT advertising increasingly relies on precision, relevance, and credibility over emotion or brand storytelling. Achieving this means perfectly integrating at the moment when users need clear, trustworthy information.

Dig deeper: Check out the complete infographic shared by Adthena CMO Alex Fletcher on LinkedIn.

Inspired by this post on Search Engine Land.
April 2, 2026
Unlocking AI-Powered Video: Google PMax’s New Animated Ads
I’ve recently discovered an intriguing update in Google Ads Performance Max campaigns that could significantly shift how I and other advertisers approach animated display advertising.

Imagine the possibilities with Google’s new AI image animation feature! It could be a game-changer for those of us who’ve been sticking to static images in our PMax campaigns.

What I Found. Nikki Kuhlman, Vice President of Search at JumpFly, Inc., shared her discovery of an option to generate animated video clips directly within PMax asset groups. These clips use AI to transform a single source image into engaging animations.

How It Works.
- I can upload a source image like a logo, a product shot, or a property photo.
- The AI works its magic, generating several “enhanced” versions of my image.
- Each enhanced image then produces two animated clips.
- I can choose up to five animated clips per asset group to enrich my campaign.
- Note: While faces can’t be used in the source images, AI might introduce people in the enhanced versions.
Early Testing Insights. I tested it, and observing a logo turn into a spinning animation and a house image pan out cinematically was impressive. Simple inputs, but the quality of the animated outputs is certainly suitable for display advertising without the need for a video production team.

Ad Placements. While Google hasn’t officially documented ad placements, early tests show these animated clips appear in Display ad previews when integrated into an asset group.

Why I Care. Video assets have always been vital in Paid Media for their creative potential, but not everyone, including myself, has the time, budget, or resources for video production. Now, this feature offers me the chance to easily convert a single photo or logo into dynamic display content, effectively removing previous barriers.

This opens a new door for advertisers like me who’ve relied on static images in PMax campaigns. I see it as a simple but effective win.

The Bottom Line. Although Google hasn’t confirmed this feature officially, it’s advisable for anyone running PMax to check their asset groups. If this is present, it’s worth testing, especially for those of us who have solely utilized static images.

First Seen. This exciting feature was initially spotted by Nikki Kuhlman and shared on LinkedIn.

Inspired by this post on Search Engine Land.
March 24, 2026

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