Tag: Ad Positioning

  • Uncovering the Hidden Flaw in a ‘Perfect’ PPC Campaign

    Uncovering the Hidden Flaw in a ‘Perfect’ PPC Campaign

    I recently sat down with Veronika Höller for an enlightening discussion on PPC campaigns in an episode of PPC Live The Podcast. We delved into a scenario where a seemingly flawless campaign was secretly underperforming, uncovering the real issue beneath the surface.

    From “perfect” campaigns to zero revenue

    Initially, Veronika encountered an impeccably organized account. It had all the right elements: a clean structure, compelling creatives, and well-allocated budgets with conversions rolling in. But there was one glaring omission—it wasn’t generating any revenue.

    This discrepancy prompted us to investigate further, revealing that while surface metrics such as impressions, clicks, and conversions appeared promising, the true business impact was lacking. The unraveling began here.

    The real issue: nothing stood out

    The breakthrough came not from within the account but by stepping outside it. During competitor research, Veronika noticed that the brand’s messaging was indistinguishable from its competitors. There was no compelling reason for users to choose their products over others.

    From a user’s perspective, the ads weren’t incorrect; they were simply forgettable. In a saturated market, being simply “good” wasn’t enough. The revelation was not about performance but positioning.

    Starting again — from scratch

    Veronika boldly decided to reconstruct everything from the ground up. This involved crafting new messaging, developing fresh creatives, and establishing a comprehensive strategic blueprint. A pivotal change was identifying not only the ideal customer but also defining who they were not targeting, utilizing anti-ICPs to refine the messaging.

    This reset also incorporated enhanced localization, creating tailored landing pages for different markets, and formulating platform-specific strategies instead of simply recycling campaigns across channels. It was much more than optimization—it was a complete overhaul, and it succeeded.

    The mistake that nearly broke everything

    Looking back at earlier times in her career, Veronika recalled a major misstep that will resonate with many PPC professionals. She had implemented a recommended target CPA but failed to adjust the budget accordingly.

    This oversight led to a halt in campaign delivery and a significant drop in performance, all of which went unnoticed over the weekend. By Monday, the damage was done, and the client was understandably upset.

    Owning the mistake — and fixing it fast

    Veronika didn’t shy away from the situation. She promptly admitted her mistake, provided an explanation, and took full responsibility. This transparency shifted the client’s initial frustration into collaboration, as there was no defensiveness, only a structured plan for resolution.

    The takeaway was invaluable: one must never apply recommendations blindly and should always consider the entire context before implementing changes.

    Why failure is part of getting good

    For Veronika, mistakes aren’t something to avoid—they’re a stepping stone to mastery. “You can only be good if you fail,” she asserted.

    This philosophy now influences her work approach and mentorship style. Mistakes signal progress, experimentation, and improvement.

    Furthermore, sharing these experiences helps others steer clear of similar pitfalls.

    The biggest issue she still sees today

    Despite evolving PPC landscapes, tracking remains a persistent issue. Many setups suffer from flawed implementations, reliance on micro conversions, and misconfigurations in tools like Google Tag Manager.

    In a world dominated by smart bidding and automation, inaccurate data not only constrains performance but leads it astray. Even the most stellar campaigns can falter without precise tracking.

    AI won’t fix average marketing

    Veronika emphasized that AI isn’t a magic bullet for improving outcomes. Feeding it mediocre data yields mediocre results.

    Many marketers erroneously rely on AI tools for account analysis without a proper understanding of the necessary enhancements. AI can’t create uniqueness; it can only optimize existing inputs. Distinctive strategies still demand human ingenuity.

    The mindset that matters now

    The most significant takeaway isn’t about tactics; it’s about mentality.

    Perfection isn’t the goal. Avoid following recommendations blindly, and don’t assume tools will think for you. Instead, rely on your instincts, experiment, and accept that mistakes are a valuable part of the journey.

    In performance marketing, the real hazard isn’t failure but becoming invisible by playing it safe.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Boost Your App’s Visibility: Apple’s New Search Ads in 2026

    Boost Your App’s Visibility: Apple’s New Search Ads in 2026

    I’ve heard that Apple plans to launch more ads within App Store search results in 2026, enhancing their ad inventory but maintaining their focus on relevance, not bid amount.

    What’s changing? New ads are set to appear in-line with App Store search results, sitting alongside organic listings. Existing top-result ads will remain. And guess what? There’s nothing we need to do to get into these new placements — bidding won’t help.

    What Apple is saying: According to guidance Apple shared with Apple Insider, relevance remains key: “If your app isn’t relevant to what the user is searching for, it won’t be displayed — no matter how much you’re willing to pay,” an Apple rep said.

    They also mentioned that apps irrelevant to a user’s query won’t even make it to the auction, regardless of bid size. While relevance and bids matter, relevance is the real gatekeeper.

    Why I care: As Apple expands its ad inventory, the competition might heat up, and this could affect how often ads show up during user discovery. Their relevance-first policy suggests that mere bidding isn’t enough, putting a premium on keyword strategy and creative finesse.

    Without placement control, aligning closely with user intent seems to be the winning strategy for better exposure.

    What I can control: The creative side still matters a great deal. Preparing multiple ad variations to align with different audiences or keyword themes can be a game-changer. If there’s no custom creative, Apple will auto-generate ads from the app’s product page.

    Billing stays the same: Apple confirmed no pricing changes. We’ll continue to pay per tap or per install, depending on our current setup.

    The big picture: Apple has been ramping up its ads business steadily. It added ads to the Today tab in 2022 and recently rebranded Apple Search Ads to Apple Ads, signaling its broader ambitions despite resisting traditional auction dynamics found elsewhere.

    The bottom line: Apple is increasing ad density in the App Store search but not advertiser control. More ads are on the way — just not the ability to buy your way into better positions.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Elevate Your LinkedIn Ads: Reserved Slots Now Available

    Elevate Your LinkedIn Ads: Reserved Slots Now Available

    Recently, I’ve been exploring LinkedIn’s Reserved Ads feature, which is now open to all managed advertisers. This exciting update lets me secure the prized top-of-feed placement, fundamentally boosting visibility and engagement for my B2B campaigns.

    LinkedIn has now made Reserved Ads accessible to all managed accounts, allowing me to grab the first ad slot in the feed. This prime location guarantees premium visibility for my advertising efforts.

    What’s new. With Reserved Ads, I can secure top-of-feed placement at a consistent rate, ensuring predictable delivery and enhanced reach. According to LinkedIn, this format drives up to 75% higher dwell time, 88% higher view-through rates, and achieves 99% of forecasted impressions, making it a powerful choice for my marketing strategy.

    How it works. These ads appear in the most visible ad slot on LinkedIn’s feed and support a variety of Sponsored Content formats like Video, Single Image, and Carousel Ads. My LinkedIn account representative assists me in reserving this valuable inventory and setting the pricing strategy.

    Why we care. For me, LinkedIn Reserved Ads are a game-changer, providing guaranteed top-of-feed placement. This increases my campaign’s visibility and engagement, helping me stand out in the competitive B2B space. The premium positioning enhances brand recall and influences potential leads early in the funnel.

    LinkedIn feed showing a digital advertisement for a payment system called Oustia, with a visual of a card reader.
    Explore the future of payments with Oustia's sleek new card reader! Secure, stylish, and efficient — the perfect tool for modern businesses.

    The predictable delivery and fixed pricing models mean I can plan my campaigns with more certainty, while also building high-quality retargeting audiences for future conversions.

    The big picture. By utilizing Reserved Ads, I’m effectively bridging brand awareness and demand generation. Anchoring my campaigns at the top of LinkedIn’s feed enables me to create higher-quality retargeting pools, with LinkedIn reporting up to a 101% increase in mid-funnel engagement as a result.

    The bottom line. LinkedIn’s Reserved Ads provide me, as a B2B marketer, with a predictable way to command attention and transform it into significant demand.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • How Google AI Overviews Transformed Search in 2025

    How Google AI Overviews Transformed Search in 2025

    I’ve been captivated by how Google AI Overviews shifted the search landscape in 2025. Since then, I’ve delved into a detailed analysis by Semrush, which evaluated over 10 million keywords, revealing significant volatility, an increase in ads, stronger click-through rates (CTRs), and AI Overviews venturing beyond purely informational searches.

    The year witnessed a rapid expansion of AI Overviews in Google’s search functions, which eventually tapered off as they began appearing in commercial and navigational inquiries. Between January and November, Semrush’s analysis identified these dynamic changes.

    AI Overviews surged, then retreated. The deployment of AI Overviews was far from linear. Google introduced them at a rapid pace, peaking mid-year, then scaled back based on user data and feedback:

    • January: AI Overviews appeared in 6.5% of all queries.
    • July: Their presence peaked, appearing in nearly 25% of searches.
    • November: By this time, their appearance was retracted to less than 16%.

    Zero-click behavior defied expectations. Contrary to initial beliefs, I noticed that click-through rates for searches with AI Overviews have increased steadily. It seems that rather than reducing clicks, AI Overviews may actually encourage them.

    • AI Overviews are more common on searches that generally lead to no clicks.
    • But when examining the same keywords pre and post-introduction of an AI Overview, the zero-click rates decreased from 33.75% to 31.53%.

    Informational queries no longer dominate. At the start of 2025, AI Overviews predominantly served informational purposes:

    • January: 91% informational
    • October: 57% informational

    Eventually, I observed AI Overviews appearing in commercial and transactional searches:

    • Commercial queries: Jumped from 8% to 18%
    • Transactional queries: Increased from 2% to 14%

    Navigational queries are rising fast. Interestingly, there’s a noticeable increase in AI Overviews intercepting brand and destination searches:

    • Navigational AI Overviews rose from under 1% in January to over 10% by November.

    Google Ads + AI Overviews. Earlier this year, ads rarely appeared next to AI Overviews. Now, their presence is much more common:

    • Ads alongside AI Overviews grew from about 3% in January to around 40% by November.
    • Roughly 25% of AI Overview SERPs now show ads at the bottom.

    Science is the most impacted industry. In terms of keyword saturation, Science tops the list with AI Overviews appearing in 25.96% of searches. This is followed by Computers & Electronics at 17.92%, and People & Society at 17.29%.

    • Since March, Food & Drink has experienced the fastest growth among all categories in AI Overview usage.
    • In contrast, sectors like Real Estate, Shopping, and Arts & Entertainment see AI Overviews in less than 3% of queries.

    Why we care. With AI Overviews persistently reshaping click behaviors, commercial visibility, and ad placements, I believe it’s important to keep a close eye on these shifts and adapt accordingly.

    The report. For a deeper dive, you can explore the full Semrush AI Overviews Study: What 2025 SEO Data Tells Us About Google’s Search Shift.

    Dig deeper. Earlier, in May, I reported on the initial findings of Semrush’s study in Google AI Overviews now show on 13% of searches: Study.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Boost Your Reach with Shopify’s New Product Network

    Boost Your Reach with Shopify’s New Product Network

    I’ve just come across some exciting news from Shopify. They’ve launched something called the Product Network, which essentially allows advertisers to connect with potential shoppers across various merchant sites using contextually relevant products. It’s a game-changer!

    What’s amazing is that this system can suggest products from other merchants, even when I’m shopping at a store that doesn’t have what I’m looking for. For instance, if I search for “organic cleaning supplies” and the store doesn’t carry them, the Product Network might still offer me alternatives from different merchants. This means I can add everything to a single cart, without even realizing some items come from other merchants.

    Here’s how Shopify is positioning themselves: It reminds me of ad platforms like Google Performance Max or Meta Advantage+ Shopping, where advertisers set a cost-per-acquisition goal, and the platform handles the rest. But Shopify is focusing more on the merchandising aspect rather than traditional advertising, which I find quite refreshing.

    Amanda Engelman, who’s their advertising product director, summed it up nicely by saying, “It’s just a different approach to the world.”

    Historically, Shopify has shied away from profiting heavily off advertising. Their Audiences program is a good example; it creates customer segments for various channels like Google and Meta, but doesn’t take a share of the ad spend.

    For merchants, there’s an added incentive to join the network. They earn commissions on the sale of products from other merchants, either in cash or Shopify ad credits. It’s like getting extra ad budget support without the usual upfront investment.

    In the early stages, placements in the Product Network are determined by context rather than being driven by revenue targets, though there’s potential for optimization in favor of higher commission items.

    The reason this is relevant is that Shopify’s Product Network now allows brands to extend their reach with ease. Shoppers are introduced to relevant products seamlessly, as these can be featured on search results or even on different stores’ homepages.

    Unlike typical ads, the focus here is on driving conversions through relevant, context-driven placements rather than simply filling ad space. This could mean better traffic quality and merchants benefiting from third-party sales commissions, thereby expanding the network’s reach and impact.

    Looking ahead, Shopify is planning to further enhance the personalization and monetization of this network, all while keeping users within their ecosystem. The whole aim is to support merchants in selling more, even if the products aren’t their own.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Boost Holiday Sales with YouTube Shorts’ New Interactive Ads

    Boost Holiday Sales with YouTube Shorts’ New Interactive Ads

    Recently, I’ve discovered that YouTube Shorts has updated its ads, making them more interactive and creator-focused. These enhancements are aimed at helping advertisers engage more effectively during those important holiday seasons.

    I’ve noticed that the new advertising features are particularly designed for Shorts, offering brands a chance to maximize their holiday marketing budgets by riding the short-form video trend.

    So, what’s new?

    First, advertisers can now allow comments on eligible Shorts ads, which brings the ad experience closer to organic content. This opens up new ways for real-time engagement with audiences.

    Additionally, creators who share branded content on Shorts can link directly to a brand’s website. This provides viewers with an easy path from discovery to action.

    Finally, YouTube is expanding Shorts ad placement to the mobile web, allowing advertisers to reach viewers as they move across different devices, such as TV, desktop, and mobile apps.

    Why does this matter? These updates make Shorts ads not only more engaging and native but also more actionable. This is crucial for improving performance in the crowded holiday market. Ads with comment features increase engagement signals and allow brands to understand audience reactions in real time.

    Link-outs from creators can shorten the path from discovery to purchase, effectively transforming creator influence into measurable traffic. The expanded placement to mobile web ensures a broader reach during busy shopping periods.

    The bigger picture? As more of us are watching short-form videos across various screens, YouTube is positioning Shorts as a platform that marries creator authenticity with measurable results. This strategy is directly aimed at advertisers planning for the holiday season.

    Looking ahead, advertisers might find these new, more interactive Shorts ads on YouTube beneficial in cutting through the noise and converting viewer attention into holiday sales.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Accelerate B2B Optimization with Proxy Metrics

    Accelerate B2B Optimization with Proxy Metrics

    Embarking on the complex B2B journey can feel like navigating a labyrinth. I know this from firsthand experience, especially when it comes to optimizing campaigns amidst long sales cycles and low conversion volumes.

    In the realm of selling high-value items, waiting for months to see tangible results can be frustrating. That’s where I discovered the power of proxy metrics, or micro-conversions, to drive faster optimization.

    Let’s dive into the specifics of proxy metrics and their transformative impact on B2B campaigns.

    Understanding Proxy Metrics

    From my perspective, proxy metrics are like the early indicators of success that help predict final outcomes. Think of them as a weather vane pointing towards future achievements.

    Engagement rates hint at potential conversions, while add-to-cart events often precede sales. Watching these early signs allows me to course-correct campaigns sooner and optimize budget allocations.

    Proxy metrics also prove invaluable when navigating Google’s 90-day latency window. I’ve learned to identify key predictors within this time frame to maintain tracking efficiency.

    Dig deeper: How to use GA4 predictive metrics for smarter PPC targeting

    Enhancing Algorithmic Bidding with Proxy Metrics

    In my work with digital ad platforms like Google and Meta, I’ve seen the crucial role of machine learning in campaign optimization. Feeding these systems with early signals like micro-conversions enhances their ability to target quality users effectively.

    ```json
{
  "alt": "Digital illustration of a correlation funnel showing predictors like engaged sessions, newsletter signups, and add to cart leading to sales.",
  "caption": "Unlocking Sales Success: A visual guide to the correlation funnel, showcasing how online activities like engagement and signups drive sales.",
  "description": "This image illustrates a correlation funnel concept, displaying predictors such as engaged sessions, newsletter signups, and cart additions funneling into sales. The diagram highlights the importance of each component in the digital sales process. Keywords: correlation funnel, predictors, sales strategy, digital marketing."
}
```

    With metrics like time on site and scroll depth, I can refine targeting even when conversion data appears sparse, creating training signals that define algorithms’ paths.

    Building Audiences and Gaining Insights with Proxy Metrics

    Segmentation through proxy metrics opens up smarter audience building. By identifying engaged users, I craft lookalike audiences that mirror high-value customers, shifting focus from mere click-through metrics.

    I’m also able to expedite testing cycles by employing leading indicators instead of waiting for long-term data, thereby speeding up hypothesis validations and subsequent decisions.

    Proxy metrics frequently offer more robust statistical significance in models than distant revenue markers, enabling reliable market assessments.

    Evaluating the Trustworthiness of Proxy Metrics

    I’ve learned that not all proxy metrics pack the same punch. Some signal genuine interest more effectively than others. Newsletter signups, for example, often predict engagement, whereas add-to-cart events can be misleading due to frequent abandonment.

    To choose the right proxies, I measure correlation strength, timeliness, actionability, and stability to ensure they provide reliable guidance for strategic decisions.

    By focusing on these factors, I navigate the intricate path of B2B optimization with confidence, leveraging insights to drive impactful outcomes.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Google’s Ad Tech Dilemma: EU Market Test Unfolds

    Google’s Ad Tech Dilemma: EU Market Test Unfolds

    I’ve been following Google’s plan to address its ad tech issues closely, and now their proposed solutions are under the spotlight of an EU ‘market test.’ This is a critical step to ensure they truly bring back fair competition in the industry.

    The European Commission is actively seeking feedback from industry leaders, and I’ve noticed that they have reached out to a significant group of stakeholders, including publishers, advertisers, and rival ad tech firms, to gauge their reactions to Google’s latest proposal.

    Officials are emphasizing that the feedback gathered will play a key role in determining if Google’s commitments will really ensure fair play in the EU’s digital ad market.

    Personally, I’m intrigued by the background of this situation. Google was hit with a hefty fine of €2.95 billion and was instructed to cease favoring its own ad tech services. In an effort to resolve these issues, Google has suggested several changes, which include allowing publishers more control over setting minimum bid prices in their Ad Manager platform.

    They also promise improved interoperability between their tools and those of competitive ad tech providers, along with broader choices and flexibility for advertisers and publishers alike.

    Why does this matter to me and you? The unfolding ‘market test’ could significantly influence how Brussels approaches Google’s offer, potentially ending a pivotal tech rivalry case. If Google’s suggestions are approved, we could see fairer auctions that provide better returns on investment and reduce Google’s inherent advantages in their ad tech operations.

    Reading between the lines, this market test represents a potential turning point. If it goes well, the EU could be on the brink of concluding the case, relieving Google of prolonged regulatory pressures. However, Thursday’s developments also highlight the EU’s broader mission to regulate major tech giants while dealing with external pressures from U.S. authorities.

    Meanwhile, I’ve noticed that the EU is also setting its sights on Meta, as they’re starting a new examination of its AI features within WhatsApp and examining whether these might skew the competition.

    It’s crucial to remember that antitrust breaches can incur penalties up to 10% of global revenue, although such severe fines are uncommon. Meta is now under pressure to present solutions, although WhatsApp insists that the concerns are unwarranted.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • Mastering Paid Media Budgets in an AI-Driven World

    Mastering Paid Media Budgets in an AI-Driven World

    As someone deeply involved in PPC marketing, planning and managing budgets across various paid media channels has become a vital skill in my toolkit.

    I’m perpetually tasked with determining how to allocate spending across channels, handling significant budget fluctuations, and deciding whether to set total or daily budgets.

    In the world of AI-driven ad platforms, campaign budgets are one of the few areas I still have full control over, and so they demand thoughtful attention.

    Depending on my business model, I may have varying degrees of input into the overall paid media budget, but I usually have the reins when it comes to distributing that budget across channels and campaigns.

    My strategy begins with assessing the total budget available. It’s unwise to spread a modest budget across too many campaigns, as this limits the platforms’ capacity to gather data and drive effective results.

    However, with a larger budget, exploring new testing channels or campaign styles becomes feasible.

    Dig deeper: PPC budget planning: Aligning business goals, ad spend, and performance

    For instance, if my efforts in paid search are maxed out and additional budget is available, I might allocate some to Google Demand Gen or social channels to see how they perform.

    Considering the brand’s current awareness level is crucial. If building credibility is still ongoing, focusing on social prospecting could enhance visibility and audience building for future retargeting.

    Another factor is my ability to support campaigns requiring creative assets. If getting creative approved is challenging, keeping budget in paid search might be more pragmatic, with plans to expand to other channels once assets are ready.

    When making budget decisions, I ensure not to view individual channels or campaign types in isolation. It’s important to understand how they might affect each other and leverage data to guide these decisions.

    For instance, if I launch a YouTube campaign that raises product awareness, I might notice improved conversion rates in search, with video viewer remarketing audiences performing well.

    Even if direct conversions from YouTube are minimal, data might show improved overall conversion efficiency, justifying an ongoing budget for both YouTube and search.

    When mapping out annual budgets, aligning them with peak buying times or potential slumps specific to the industry at hand is vital.

    Ecommerce brands may raise budgets around holiday seasons, while B2B brands might choose to invest earlier in the year.

    Historical data can be a guide, and tools like Google Trends offer insights into monthly trends for relevant keywords.

    Unexpected budget shifts are common, whether due to financial constraints or last-minute fiscal year decisions. I’m prepared to adapt by pausing campaigns or reallocating budgets where they’ve proven efficient.

    Opportunities to increase budgets prompt a focus on campaigns that are currently capped and performing efficiently. However, I avoid increasing budgets too rapidly, to prevent inefficiencies.

    Dig deeper: How to manage a paid media budget: Allocation, risk and scaling

    Finally, selecting between total or daily budget types is a frequent consideration. Short campaigns or ones with strict budget limits benefit from a total budget, while ongoing campaigns are better suited to daily budgets.

    I’m mindful of spending spikes and aim to avoid overspending, especially when adjusting budgets mid-month.

    Dig deeper: How to optimize B2B PPC spend when budgets and confidence are low

    Having a budget strategy that’s adaptable to ongoing and exploratory efforts, while considering the unique nuances of each platform, is key to successful paid media campaign management.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot
  • How AI Revolutionizes Ad Rankings: Winning the Top Spot

    How AI Revolutionizes Ad Rankings: Winning the Top Spot

    The position of ads is more crucial than ever. I’ve recently come across new data that underscores how Google AI Overviews are reshaping paid search visibility and click-through rates (CTR).

    In my experience, Google’s AI Overviews have dramatically altered the search landscape almost overnight. As someone deeply invested in paid search, I’ve noticed the battle for visibility isn’t just about ad rank anymore—it’s about appearing above the AI results.

    This change is part of a rapid surge in AI Overviews, which I discovered in Adthena’s earlier study. My analysis found that AI Overviews are now trespassing into short, high-volume commercial searches.

    The underlying mechanism causing this is pretty clear to me: AI Overviews intercept user attention, slash CTRs, and push both organic and paid listings lower down the page. As a result, clicks and revenue take a hit.

    From what I’ve seen in Adthena’s latest research, it accurately identifies how often advertisers secure top ad positions above AI Overviews across seven major industries, device types, and query categories. The research highlights clear leaders and provides actionable strategies for the rest of us in paid search.

    The topline reality: Ad position visibility is lost 25% of the time

    The industry benchmark table below reveals how fierce the fight is for the top spot. It shows us the percentage of ads that appear either above or below AI Overviews across seven industries.

    ```json
{
  "alt": "Industry performance chart showing percentage above and below average for Automotive, Energy, Financial Services, Gaming, Healthcare, Retail, and Travel sectors.",
  "caption": "Discover how different industries stack up in performance, with percentages showing which sectors lead and lag relative to the average.",
  "description": "This image is a chart detailing the performance of various industries, measuring percentages above and below average. It covers sectors such as Automotive, Energy, Financial Services, Gaming, Healthcare, Retail, and Travel. Automotive (62.3% above), Energy (76.9% above), and others are analyzed, with variables like Healthcare showing 35.4% above and 64.6% below. The chart is branded by Adthena for marketing and analysis insights."
}
```

    Strategic implications from the topline data

    • The leaders: Industries like Travel, Energy, Financial Services, and Retail consistently land above the AI Overviews in more than 75% of cases. However, I’ve noticed that even in these sectors, 1 in 4 paid ads are still affected. When keywords drive major revenue, that 20% to 30% exposure is a direct threat to ROI.
    • The runners-up (the risk of being hidden): Healthcare is a major outlier. Ads in this field often appear below AI Overviews 64.6% of the time, given the high-stakes nature and research-heavy aspect of healthcare searches. Google’s AI prioritizes “expert” information first, meaning healthcare ads see significantly less visibility.
    • The volatility: The gaming sector shows a clear 50/50 split. Visibility feels like flipping a coin, demonstrating to me the need for agile bidding strategies.

    The device divide: Why mobile is your biggest threat

    From what I’ve gathered, device-specific data indicates that ads are more likely to be displaced by AI Overviews in a mobile setting due to limited screen space.

    Strategic implications on device differences

    • Automotive’s Mobile Problem: Although Automotive shows strong “Above %” placement overall, daily trends are worrying. On mobile, ads are frequently buried by AI Overviews, making them invisible without extensive scrolling. This leads to diminishing visibility and CTR for us marketers.
    • The “double whammy”: In healthcare, desktop ads generally appear below AI Overviews, although mobile sometimes performs slightly better. It seems the AI Overviews box might be designed for mobile screens, occasionally allowing one or two ad slots to remain visible. However, desktop visibility still suffers greatly.
    • Actionable insight: Mobile is where AI Overviews present the greatest challenge. For industries like healthcare and gaming, where this is a significant problem, securing top ad positions is vital for survival.

    The query intent test: Where does AI Overviews win and lose?

    Generally, I’ve observed that long queries tend to be more informational and thus more likely to activate AI Overviews, while shorter ones are typically transactional. The table below unfolds a surprising industry pattern related to this.

    This table reveals the connection between query complexity (or user intent) and AI Overviews’ dominance, spread over query lengths from one to ten words.

    ```json
{
  "alt": "Heatmap showing percent above and below benchmarks for various industries and devices from 11/11/2025 to 11/17/2025.",
  "caption": "Explore industry trends with this heatmap displaying percentage data across devices from November 11 to 17, 2025, illustrating performance benchmarks.",
  "description": "This heatmap visualizes percentage data for industries like Automotive, Energy, and Gaming across desktop and mobile devices. It spans from November 11 to 17, 2025, showing percentages above and below benchmarks. Each cell is color-coded to reflect performance, providing a clear view of industry trends. Created by Adthena, this chart is useful for analyzing market variations and device-specific engagement with specific focus on sectors such as Financial Services, Healthcare, Retail, and Travel."
}
```

    Strategic implications on query intent

    1. AI Overviews dominance on the fringes:
      • Healthcare shows that as queries get longer (up to 10 words), ad positions above AI Overviews drop to 0%. Google clearly prioritizes complex health questions, relegating commercial interests lower.
      • Gaming reveals the opposite: short terms (1-2 words) have 0% visibility above AI, suggesting organic results or features claim the top spot. However, for longer terms (7-9 words), ads dominate above AI Overviews, a golden opportunity to engage users deeply researching.
    2. The unexpected paid search opportunity (Automotive & Travel):
      • Automotive and Travel ads excel with longer informational queries rather than short, high-volume ones. For example, Automotive’s “Ad Above AI Overviews” rate leaps from 21.9% (one word) to over 74% (four words).
      • Strategic implication: This upends conventional PPC strategy, suggesting we should be bidding eagerly on mid-to-upper-funnel terms where AI Overviews are present, intercepting the user’s journey before their final decisions.

    Next steps for paid search marketers

    Adthena’s research highlights that the threat of Google AI Overviews is fragmentary. Precision is key: know when and where your ads can outrank AI Overviews, adjust your bids and content accordingly.

    From my ongoing observations, as the frequency of AI Overviews rises, these ad position percentages might swing. I advise regularly auditing profitable keywords to effectively handle changes in the AI-driven search landscape.

    Here are three game-changing steps we can take:

    1. Have you explored testing a device-specific strategy?

    I’ve realized that mobile often amplifies visibility loss from AI Overviews, notably in sectors like automotive.

    I recommend considering a device-specific strategy, especially for campaigns severely impacted by AI Overviews.

    2. Have you identified quick wins in keyword coverage?

    Data on word counts reveals unexpected possibilities. Industries like Gaming and Automotive often see robust ad placements with long-tail queries (four words or more) above AI Overviews.

    ```json
{
  "alt": "Heatmap table showing word count in search queries across industries like Automotive, Energy, and Retail.",
  "caption": "Explore the trends in search query word counts across industries such as Automotive and Healthcare. This heatmap reveals insights into percentage distributions above and below average.",
  "description": "This image is a heatmap table illustrating the word count distribution in search queries for various industries, including Automotive, Energy, Financial Services, Gaming, Healthcare, Retail, and Travel. Each industry's search query percentages are categorized as above or below the average, with varying word counts from 1 to 10. Darker shades indicate higher percentages. This data is presented by Adthena and provides insights into how different industries perform in search result metrics."
}
```

    This signals high-visibility traffic in mid- to upper-funnel searches that our competitors may be ignoring.

    3. Have you reviewed your ad copy against the AI answer?

    AI Overviews can miss out on brand nuances and emotional resonance.

    To captivate users, ads must deliver what AI can’t: a strong, compelling reason to choose you over Google’s summary. Using messaging that includes trust, guarantees, or urgency can clearly differentiate from AI’s generic style.

    Convey transactional incentives like deals, free shipping, or scarcity (“Limited stock, grab yours!”), and use emotional elements like customer testimonials to build trust and convey your unique brand narrative.

    The search landscape has evolved. Adthena’s data suggests that marketers who rapidly analyze and adjust their ad strategies in response to AI Overviews will thrive.

    Ready to see where your ads sit today?

    Adthena gives you the precise data on ad appearances in relation to AI Overviews, helping you adapt to changes in AI search performance. Book a demo to see where your ads rank today.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot