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Mastering AI Video Ads: Top Strategies for PPC Success

As I delve into the world of digital advertising, I realize that AI is more than just a buzzword; it’s a fundamental component of our strategies in 2026. Especially with video ads, where visuals speak louder and clearer than text, leveraging AI has become crucial not just for creating content but for innovating how we connect with audiences.

The power of video in advertising is undeniable as it allows consumers to process information rapidly. With the drop in creative costs, using video is more viable and impactful than ever. The real question I find myself asking is not if PPC teams should use AI, but how to optimize its usage to maximize results and ensure our content remains compelling and governed well, safeguarding against pitfalls like hallucinations that might disrupt performance.

Why has AI adoption in PPC alone become insufficient to enhance performance? Nearly 90% of marketers now integrate AI for creating or modifying video ads—a testament to its widespread use, though it does not guarantee success. Being successful in this domain now hinges more on our ability to feed AI the right creative inputs, data signals, and monitoring practices instead of relying on outdated manual bidding strategies.

Here are five AI-backed strategies that I believe are key to enhancing video PPC campaigns effectively:

1. Embrace Modular Asset Libraries Over Perfection

Historically, we have approached video production with a mindset tailored for TV-style advertising. However, in this new age of Performance Max, providing a rich library of modular assets allows AI to dynamically craft video experiences, tailored to user behavior, device, and intent. Flexibility in creative elements does not hinder, but rather enhances, performance by offering multiple hooks, bodies, and CTAs that AI can creatively assemble.

2. Move Beyond Keywords to Intent Orchestration

In today’s AI-driven ad environment, keywords are more about nuances rather than triggers, aimed at helping systems understand audience themes. Rather than allowing AI to optimize within broad, unguided targets that may reduce quality, it’s imperative to guide it toward understanding and targeting true intent, using negative keywords and first-party data to inform its decisions.

3. Optimize With Value-Centric Data

One common pitfall we face is feeding generic or low-value conversion signals to AI systems, which misdirects efforts toward less fruitful outcomes. By aligning AI optimization strategies with value-based conversions through enhanced and offline data imports, we can refine how AI perceives and prioritizes user actions, ensuring a focus on quality over mere quantity.

4. Opt for Lift Measurement Over Last-Click Attribution

In assessing the impact of AI-driven video formats like YouTube Shorts, adopting advanced attribution models becomes crucial since traditional models fall short. By employing media mix modeling or simple tests that monitor consistency in spend and revenue growth, we can better understand and demonstrate the true value ads deliver across channels.

5. Cater to Silent Viewers

Many viewers start by watching videos on mute, especially during initial discovery phases. Therefore, ensuring that visual elements of a video are clear and engaging without the necessity of sound can effectively maintain audience interest and ensure message retention from the first visual frame onward.

Shaping the Future of PPC

The role of the PPC manager resembles that of an architect, structuring the framework in which AI operates. The emphasis has shifted from direct control to strategic input planning and data management, allowing for scalable and efficient AI-guided campaigns that propel brands toward success.

Inspired by this post on Search Engine Land.

January 16, 2026
Discover Google’s Universal Commerce Protocol: Revolutionizing AI Shopping
Have you heard the news? Google has just launched the Universal Commerce Protocol (UCP), an innovative open standard that integrates AI agents throughout the entire shopping experience. From discovering products to making purchases and even receiving support after the sale, UCP facilitates it all.

In exciting developments for retailers, Google is also rolling out new AI tools. These include branded shopping agents and ad formats that enhance AI-driven discovery, making the shopping experience more streamlined and engaging.

About UCP

This protocol offers a common language for AI agents and commerce systems, greatly simplifying the need for custom integrations across different platforms.
- UCP is compatible with existing standards like Agent2Agent and the Model Context Protocol.
- The protocol was co-developed with prominent partners such as Shopify, Etsy, Wayfair, and Target.
- It’s already endorsed by over 20 additional companies in the retail and payments sectors.
What’s Changing

The UCP is set to enhance the checkout experience for Google product listings via AI Mode in Search and the Gemini app. Shoppers can make purchases through Google Pay, with options to use saved payment and shipping details. Integration with PayPal is also on the horizon.
- Google aims to lower cart abandonment and provide retailers with tailored integration options suited to their needs.
- Upcoming features include loyalty rewards and personalized shopping experiences.
Business Agent

In tandem with UCP, Google is unveiling the Business Agent, a branded AI assistant that provides shoppers with direct interaction opportunities on Search. Think of it as a virtual sales associate offering real-time responses in your brand’s own tone.
- Major retailers like Lowe’s, Michael’s, Poshmark, and Reebok are already on board. Future capabilities may include deeper customization, data training, and a seamless agent-led checkout.
Direct Offer

Google is also testing Direct Offers, a fresh initiative within Google Ads tailored for AI adoption. When AI senses that a shopper is likely to make a purchase, a special discount can be presented.
- This pilot will soon expand to incorporate offers such as product bundles, complimentary shipping, and more enticing incentives.
Why It Matters

The rise of agent-led shopping reshapes where and how buying choices are made. Google’s new AI tools and protocols are taking the lead, allowing advertisers to influence these pivotal moments during an AI-driven shopping journey.

Tools like Direct Offers and branded agents create new pathways for advertisers to finalize sales efficiently, all while safeguarding profit margins. The balance between conversion improvements and losses in direct site traffic remains an open discussion.

Bottom Line

According to Google, agentic shopping is unstoppable. With innovations like UCP and its complementary retail tools, Google ensures that AI-driven commerce remains inclusive and accessible, keeping retailers engaged as agents transform the buying landscape.

Inspired by this post on Search Engine Land.
January 11, 2026
From Mailroom to PPC CEO: Anthony Higman’s Journey of Redemption
I recently spoke with Anthony Higman, the CEO of AdSquire, on episode 336 of PPC Live The Podcast. Anthony’s remarkable journey took him from the mailroom of a law firm to the helm of his own company with a panoramic view of Philadelphia. His story exemplifies how dedication, learning from missteps, and perseverance can forge a successful career path.

Learning from Client Missteps

Anthony opened up about one of his early blunders with a client, where he allowed them to chase after quick-win promises in numerous emails. Though some were outright scams, others were genuine but unaligned with the client’s goals. His decision to let a client engage with an ineffective SEO agency resulted in subpar outcomes and a revolving door of agencies for the client.

The lesson learned was clear: building trust with clients is vital, but it’s equally important to provide them with strategic guidance. Striking a balance between educating them and respecting their autonomy is key.

A Career Lesson from ‘Cowboy Moves’

Recalling another early career incident at a large advertising agency managing car dealership accounts, Anthony described how he took independent action to correct widespread account mismanagement, considerably enhancing results. However, his proactive steps clashed with company norms, leading to his dismissal.

This taught him invaluable lessons: knowing one’s values and finding workplaces aligned with them is crucial. Moreover, balancing client success with company expectations is crucial. Today, at AdSquire, he emphasizes consistent account management and clear communication within his team.

Managing Client Expectations in a Complex Industry

Anthony highlighted the challenges of managing expectations in competitive industries like legal marketing. While clients often seek various services like SEO and social media, focusing on core strengths rather than spreading resources thin is essential for achieving the best results.

The Role of Mistakes in Growth

He believes that mistakes are fundamental to growth. At AdSquire, he encourages his team to learn from their errors without fear of losing their jobs, as long as they remain honest and aligned with the company’s vision. This approach cultivates a culture of learning, accountability, and innovation.

Common Mistakes in Modern Paid Search

With AI advancements in Google Ads, Anthony has noticed frequent mistakes such as improper search partner and location settings, automated assets misuse, and auto-apply recommendations. While AI can streamline processes, strategic oversight is essential to avoid undermining performance.

Key Takeaways from Anthony’s Stories

Anthony’s experiences offer two main insights:
1. Guide clients strategically, steering them away from scams while presenting genuine growth opportunities.
2. Understand your values and choose environments where your ethics and skills align. Never compromise on your principles.
His philosophy illustrates that mistakes can lead not to failure but to redemption, innovation, and enduring success.

Looking Ahead: AI and the Future of Google Ads

Anthony envisions continued AI integration in Google Ads by 2026. While some tools may falter or conflict with specific needs, maintaining strategic oversight and adding a personal touch will remain crucial. Misguided use of AI, such as automated video inventory creation, can yield inconsistent results and demands vigilant monitoring.

Conclusion: F-Ups Lead to Redemption

Reflecting on his career, Anthony draws parallels with The Shawshank Redemption. Every misstep contributed to future opportunities, eventually enabling him to establish AdSquire and earn recognition as a top PPC influencer. The overarching lesson: embrace your mistakes, learn from them, and let them serve as pathways to success.

Inspired by this post on Search Engine Land.
January 9, 2026
Revolutionize Your Marketing with AI: Discover Genmark Flow

Have you ever imagined a marketing approach where the emphasis is on outcomes rather than just the tools? Let me introduce you to Genmark Flow, a groundbreaking concept in AI marketing that is more than just software; it’s a comprehensive service.

Genmark Flow is an AI Service as Software solution that delivers results through expertly managed growth strategies. This revolutionary system prioritizes delivering tangible results over merely providing tools. AI-powered and expertly managed, it ensures your marketing goals are not just met, but exceeded.

With Genmark Flow, you’re not only accessing cutting-edge technology, but you’re also leveraging a service that supports you in achieving your growth ambitions. Get ready to transform your marketing strategies and witness significant outcomes.

Inspired by this post on genmark.ai Blog.

January 9, 2026
Master Brand Mentions for Ultimate AI & SEO Boost

I remember when link building was the cornerstone of SEO. While it’s still relevant, its role has evolved as Google set clearer standards, focusing more on quality, relevance, and intent.

Today, in our AI-driven search world, the focus has shifted towards brand mentions, which have become a critical SEO initiative. Brand mentions provide references similar to citations, but in AI search, they explain how brands appear in LLMs (Large Language Models).

Brand mentions are now influential factors for AI search strategies and are gaining more weight in traditional SEO algorithms. Focusing on them should be a priority in 2026 to ensure lasting organic visibility.

Let me guide you on how we can prioritize and benefit from brand mentions.

How and Why to Prioritize Brand Mentions

Brand mentions have become essential in our AI search environments, moving beyond just backlinks. LLMs focus on analyzing mentions, context, and the recurring links between your brand and your target topics.

These mentions form a competitive advantage, especially as they accumulate over time, creating a protective ‘ranking moat’ when competitors don’t invest similarly.

To properly prioritize, ensure your brand’s technical and content fundamentals are solid. This includes crawlability, structured data, and clear on-page content. Afterward, focus on brand mentions before engaging in large-scale content production without an existing citation footprint.

Dig deeper: In GEO, brand mentions do what links alone can’t

Finding High-Priority Brand Mention Opportunities

When seeking impactful brand mentions, it’s crucial to examine their sources. My agency goes beyond standard tools, looking for opportunities through systems like Profound that highlight relevant brand mentions aligned with key topics.

We also review AI Overview links for SEO queries and dive into top-ranking Reddit threads to identify frequently mentioned entities related to important keywords.

You can uncover links to source articles in AI Overviews by selecting the chain-link icon, enhancing your brand’s topical visibility.

Driving Passive Brand Mentions

Passive brand mentions come when your content naturally fills an informational gap. The aim is to become the go-to reference for certain topics, achieving this by creating assets that are easily referenced.

These can include original data, insightful reports, or highly scannable explanatory pages. By establishing your brand as the primary source, you’re better positioned for more mentions.

Actively Soliciting Brand Mentions

For proactive outreach to earn brand mentions, focus on building genuine relationships and providing valuable information. Start by sharing assets that offer clear benefits, without immediately asking for something in return.

When contacting journalists or content creators, make your pitches relevant and timely, with a clear angle that increases your inclusion chances. Combining outreach with thought leadership, through podcasts or panels, enhances discovery possibilities.

Our goal is to establish a robust outreach engine, nurturing relationships so that those individuals may naturally reference your brand in the future, potentially leading to collaborative content opportunities.

Deciding When to Engage a PR Resource

PR support is particularly beneficial when you have compelling stories or data but face distribution challenges. It’s also crucial for quick scaling of brand mentions, especially during fundraising, launches, or when competing in aggressive markets, like health or AI.

However, if foundational SEO or assets are lacking, focus on establishing those first. Once ready, PR will accelerate visibility across search engines and LLMs.

Dig deeper: How to build search visibility before demand exists

Building Brand Mentions That Compound

The core tenets of link building still apply: aim for quality over quantity and avoid low-impact sources. By keeping a clear focus on key sources and strategy, your brand can achieve significant improvements in search visibility.

Inspired by this post on Search Engine Land.

January 5, 2026
Google’s Blue Send Button: Revolutionizing Search Experience

As I type my search query in Google, I’ve noticed an interesting change. The usual AI Mode button is sometimes replaced by a striking blue ‘Send’ button right in the search box.

Google is currently testing this new feature. Traditionally, the AI Mode button appears on the right side of the search box, but it seems this might be changing. As soon as I start typing, the ‘Send’ button takes its place.

What it looks like. Recently, I came across a post by Shameem Adhikarath, who shared a video of this new feature on X.

From the video, it’s clear that when I start typing my query, the AI Mode, Lens, and Microphone buttons vanish, leaving behind this new blue ‘Send’ button.

Interestingly, the familiar plus sign remains unaffected, sticking around as always.

Why this matters. While this is currently just a test, it could have significant implications. If implemented, it might mean fewer users are directed to Google’s AI Mode, prompting more straightforward searches.

For those of us who rely on AI Mode, this change could make accessing it a bit more challenging, urging us to adjust how we initiate searches.

Inspired by this post on Search Engine Land.

January 2, 2026
Unveiling 2025’s Top PPC Updates: Exciting Shifts in Advertising

2025 was a whirlwind year for those of us in the pay-per-click (PPC) marketing world, with changes coming fast and growing increasingly complex.

I noticed how significant many of Google’s updates were throughout the year, from the introduction of deeper automation with AI Max to ads being integrated directly into AI Overviews and more transparency and control being offered with Performance Max campaigns.

There were also key updates to Google Tag Manager and conversion tracking that really changed how I trust and collect data, not to mention the effects of policy shifts, automatic content extraction, and major advertisers like Amazon and Temu pulling back from Google Shopping, shaking up auction dynamics.

Now that 2025 is coming to a close, let me walk you through the headlines that caught my attention, ranked by pageviews.

10. Google changed how Tag Manager works with Google Ads

On March 10th, Google updated Google Tag Manager, ensuring that the Google tag would load before any events, thereby improving tracking accuracy and data collection from April 10th onwards. For me, this meant GTM automatically loaded the Google tag for containers with Google Ads and Floodlight tags, allowing simplified access to Enhanced Conversions and cross-domain tracking directly within tag settings.

9. Google Performance Max campaign API placement exclusions

On January 28th, Google revealed we can actually control Performance Max campaigns using API-based placement exclusions, overturning prior documentation and support guidance that stated otherwise. I found research from ad tech firm Optmyzr confirming that these API exclusions effectively blocked spending on excluded placements, providing stronger programmatic control over PMax campaigns.

8. Search Terms visibility in Google Performance Max campaigns

On March 21st, Google gave us the ability to see which search terms were triggering ads in Performance Max campaigns and introduced the option to add negative keywords directly from the Search Terms report, enhancing transparency and giving us more control.

7. Google Ads AI Max for Search campaigns beta

On May 6th, Google introduced AI Max, a one-click enhancement for Search campaigns, offering us the power of advanced AI to expand reach and dynamically generate ads, while adapting creative elements in real time.

6. Google AI Overviews ads

Starting May 22nd, Google began placing ads directly within AI Overviews, marking a significant shift in monetizing its generative search experience. This new feature was confirmed during Google Marketing Live 2025.

5. Google Ads allowed multiple ads for the same business on one results page

On March 31st, Google allowed the display of multiple ads for the same business on a single results page, provided they appeared in different locations, thereby opening up opportunities for larger brands to increase their visibility.

4. Google launched automatic marketing content extraction

On April 3rd, Google introduced a feature that automatically pulls existing marketing content from merchants to boost visibility across Search, Shopping, and Maps. Merchants were auto-enrolled, but could opt-out anytime?

3. Temu pulled its U.S. Google Shopping ads

On April 14th, Temu’s abrupt withdrawal of its U.S. Google Shopping ads revealed the heavy reliance on paid acquisition. This move, coinciding with increased tariffs and strict enforcement of import regulations, significantly impacted its market presence.

2. Amazon pulled out of Google Shopping ads

On July 25th, Amazon’s unexpected cessation of Google Shopping ads shook the market, given its historical role in driving auction competition and ad revenue. A month later, it resumed internationally but remained absent in the U.S.

1. Google Ads simplified conversion tracking with new tag manager feature

Google Ads, on February 5th, simplified conversion tracking within Google Tag Manager by introducing a wizard-style setup for creating conversion events without manual coding, revolutionizing my approach to tracking and optimization.

PPC in 2025 was undoubtedly dominated by major headline-worthy updates, largely centered around Google’s changes. Moving forward, I expect 2026 to bring even deeper AI integration. The real game-changer will be how expertly we can apply AI strategically.

Inspired by this post on Search Engine Land.

December 30, 2025
Boost Your Website’s AI Visibility: Overcome Crawling Hurdles

Have you ever wondered why your site isn’t getting the attention it deserves from AI crawlers? I know how frustrating it can be to feel overlooked in the digital world. Often, Cloudflare might be the culprit blocking access.
Let me guide you through diagnosing these issues, providing solutions, and optimizing your site for better LLM (Large Language Model) visibility. Together, we’ll ensure your site is primed for the AI-age and ready to capture its rightful place in search rankings.

Inspired by this post on HiGoodie Blog.

December 29, 2025
Discover the Most Impactful SEO Insights of 2025: A Must-Read Guide

Wow, what a whirlwind 2025 was in the ever-evolving world of SEO! I found myself constantly amazed at the pace of change, especially with the rise of GEO and AI-driven discoveries.

The incredible advances—from multi-platform searches to innovative AI applications—made this year truly groundbreaking. As I dove into these shifts, Search Engine Land remained my trusted guide, helping me navigate what’s happening, what’s on the horizon, and, most importantly, what really matters.

I’m thrilled to share with you the 10 most-read SEO columns of 2025. These pieces, penned by some of the best minds in the field, captivated and informed readers like never before.

10. Will GEO replace SEO – or become part of it?

Roslyn Ayers explores the vibrant world where SEO meets GEO, showing us how AI powers this multi-dimensional experience. (Published Aug. 8)

9. Meet llms.txt, a proposed standard for AI website content crawling

Rob Garner dives deep into the mechanics of llms.txt, shedding light on its impact—it’s an indispensable read to stay ahead. (Published March 28)

8. SEO vs. GEO: What’s different? What’s the same?

Join Dan Taylor as he unpacks the synergy between SEO and GEO strategies, unlocking new opportunities for visibility. (Published July 28)

7. How AI Mode and AI Overviews work based on patents and why we need new strategic focus on SEO

Michael King offers a fascinating analysis of patents that is a must-read for anyone interested in the future of SEO. (Published June 2)

6. How to get cited by AI: SEO insights from 8,000 AI citations

James Allen provides key insights into how AI models like ChatGPT trust strategic content to shine in search results. (Published May 12)

5. AI search is booming, but SEO is still not dead

Lily Ray highlights the intersection of AI and foundational SEO practices, emphasizing the enduring power of core strategies. (Published July 18)

4. 11 free Chrome extensions you need for SEO

Stephanie Wallace shares her toolkit for efficiency, introducing extensions that complement traditional SEO tools. (Published Jan. 16)

3. AI traffic is up 527%. SEO is being rewritten.

David Bell interprets the Previsible AI Traffic Report, urging us to adapt as AI revolutionizes site traffic dynamics. (Published Aug. 5)

2. AI optimization: How to optimize your content for AI search and agents

Jed White delves into optimizing sites for AI, stressing the need for clean HTML and quick response times. (Published Jan. 29)

1. The end of the web? Goodbye HTML, hello AIDI!

Mario Fischer ponders the monumental shift toward AI interfaces, contemplating the implications for SEO and digital commerce. (Published Nov. 14)

Inspired by this post on Search Engine Land.

December 29, 2025
Unveiling 2025’s Top SEO Changes: Google’s AI Revolution
Reflecting on another year in the world of search, I’ve seen how Google labeled 2025 as year three of a 10-year transformative shift. This change, centering on AI, became undeniably evident. No longer just an experiment, AI has now firmly integrated into the core processes of search.

Here, I’ll share the most significant SEO news stories of 2025 from Search Engine Land.

Note: This overview excludes Google algorithm updates, which Barry Schwartz has covered in a separate recap published today.

10. Perplexity Ranking Factors and Systems

Diving into the intricacies, independent researcher Metehan Yesilyurt examined browser-level interactions, revealing how Perplexity scores, ranks, and sometimes drops content. His findings uncovered a three-layer machine learning system reordering entity searches, manual authority whitelists, and many engagement signals.

He also observed that authoritative domains, early strong performance, and tech-focused topics received boosts. The ranking further mirrored time decay, interconnected content clusters, and trending YouTube content that amplified visibility.
- How Perplexity ranks content: Research uncovers core ranking factors and systems
9. Google Search Console Query Groups

In a move all about clarity, Google introduced Query groups to the Search Console Insights report. By employing AI, it groups similar search queries into distinct audience topics. These don’t influence rankings but make performance trends more apparent, especially for high-volume sites.
- Google Search Console adds Query groups
8. HubSpot’s SEO Decline

I was surprised to see HubSpot’s organic traffic plummet from 13.5 million to 8.6 million within a month, mainly impacting its blog. This followed several Google updates, with SEOs pointing to thin, broad content not aligned with HubSpot’s core expertise.
- HubSpot’s SEO collapse: What went wrong and why?
7. SEO vs. GEO

The ongoing identity debate in SEO continues as Google rejects new terminologies like GEO (generative engine optimization) and AEO (answer engine optimization). They maintain that strong SEO practices are also effective for GEO, underpinning AI Overview rankings’ fundamentals.

Yet, as AI answers replace clicks, traditional search still plays a vital role in discovery, despite search behavior evolving with users seeking AI for quick answers but relying on Google for extensive research.
6. Google AI Mode

The expansion of Google AI Mode from a trial to an almost default, comprehensive search experience was rapid. It incorporated more in-depth research, agentic activities, personalization, and the advanced Gemini 2.5—a drastic evolution toward complex search behaviors.

This AI Mode initially struggled with transparency, breaking referral tracking and merging its performance data with standard Search Console reports, sparking concerns over visibility and attribution in a more AI-centric search landscape.
5. Cloudflare vs. Google

When Cloudflare CEO Matthew Prince spoke about AI disrupting the web’s search-driven business model, it resonated with many. He highlighted the disproportionate relationship—Google and AI companies scrape extensive content while returning minimal traffic, jeopardizing original publishing unless the economic model adapts.
- Cloudflare CEO: AI is killing the business model of the web
4. Google Search Market Share Drops

Seeing Google’s search share dip below 90% globally for the first time since 2015 was significant, driven by shifts in Asia and the U.S. This opened opportunities for Bing, Yandex, and Yahoo to capture some of Google’s shrinking share.
- Google’s search market share drops below 90% for first time since 2015
3. AI-Generated Content

Google’s stricter stance on AI-generated content was clear when it instructed quality raters to assign the Lowest ratings to predominantly auto-generated pages. The expanded spam definitions targeted scaled, low-effort AI implementations.

Concurrent tests of AI-generated and AI-summarized search snippets indicated a future where AI not only critically examines content but also influences its presentation in searches.
- Google quality raters now assess whether content is AI-generated
- Google testing AI-generated descriptions for search snippets
2. Impact of Google AI Overviews on Clicks

I noticed analysis from various sources showing a troubling trend: Google Search offered more impressions and AI Overview visibility but resulted in fewer clicks. This was especially evident with non-branded, informational queries where AI Overview overshadowed classic results.

Brands mentioned in AI Overviews saw improved CTR, whereas those outside these features lost prominence, emphasizing that AI visibility is pivotal in driving successful outcomes.
1. R.I.P., num=100

Google’s removal of the &num=100 search parameter has widely impacted the SEO industry, disrupting rank-tracking tools and coinciding with a noticeable decrease in Google Search Console impressions and query counts.

Initial evaluations suggested that the majority of sites experienced reduced visibility, especially beyond Page 1, hinting at historic overreported metrics and a more realistic view of organic performance going forward.
Inspired by this post on Search Engine Land.
December 29, 2025

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