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By Gene Marks

A couple of years ago I attended an excellent conference in Seattle by a well known firm that provides online search and marketing tools. They had a line up of top notch speakers who are experts in digital marketing from the largest corporations, brands and agencies in the country. The theme was Search Engine Optimization (SEO) and how to drive the most clicks to a website, ecommerce store or content page.

The conference was basically all about Google. Why? Because, even in 2025, Google controls 90 percent of search in the world. To get found you need to please the Google Gods. So what advice did the greatest and smartest people in the online marketing world have for conquering Google search? They all pretty much said the same thing: “beats me.”

No one knows. That’s because Google’s search algorithm is a secret more closely guarded than the recipe for Coke or U.S. nuclear launch codes. Everyone there was trying to figure out what Google was going to do next, where Google may change its algorithm and how these changes would affect traffic to their site.

AI is now changing that. AI is already starting to save small business owners like me from Google’s monopoly on search. And it’s doing so in three ways.

More Options

For starters it’s giving our potential customers more choices to find us. Yes, studies show that Google still dominates search. But already you can see ChatGPT and others like it begin to make headway.

So far, even if ChatGPT’s 1 billion messages per day were search-related, its total share of the search market would be less than 1 percent. Google saw approximately 373 times as many searches as ChatGPT in 2024 and Google searches actually grew in 2024 compared to 2023.

But things are changing. Gartner predicts that by 2026, traditional search volume will drop by about 25 percent, with AI chatbots and virtual agents capturing a growing share of user attention and behavior Others project that AI-powered searches will grow annually by up to 35 percent starting in 2025, reaching an estimated 14 percent of search market share by 2028, with Google declining modestly to about an 86 percent share. I’m betting that decline will be more pronounced. But regardless it’s heading in the right direction.

I’ve tried Google AdWords and for a small business like mine it’s useless. My company sells customer relationship management software and the big players in this industry already have search results locked up. They spend more money than me. They buy up all the good keywords. People searching for products I sell won’t find me unless they click through to page 8 of their search results and no one does that. Of course, that doesn’t stop Google – the fox guarding the henhouse – from drawing down on my ad budget with their dubious claims of “impressions” and clicks. How can I even verify this? I can’t. They have the monopoly.

AI is solving this problem. As other chatbots take away search market share from Google I’ll be offered more ways for customers to find me. I predict that many small businesses – equally frustrated with the Google monopoly – will gravitate to these chatbots. ChatGPT and Perplexity have already announced their own browsers to compete with Chrome and collect data. Good for them. More competition means more choices and less costs for small businesses like mine.

Less Clicks, Better Clicks

Most have noticed that Google has introduced an “AI View” into their results where search answers are summarized. Some believe that this will result in fewer clicks on links to websites and they’re right. Smart marketing people, like Jason Rose – senior vice president of digital sales and marketing at HR firm Paychex believes that this will have greater benefits for small businesses like mine.

“People are reading the AI summary and kind of getting what they need and moving off,” he said. “But it’s not all doom and gloom because these visitors actually convert at a much higher rate.”

To date SEO has been all about getting visitors to your website. Websites are ranked based on their traffic. But how genuine is this traffic? In 2023, bots made up 49.60 percent of internet activity, almost catching up to human traffic, which was at 50.40 percent. Meanwhile we’re paying Google to send this nonsense to us. AI is fixing this too. It is changing the way people use the web for research, be it academia or shopping.

Rose is right. By reading an AI overview a visitor who clicks through to a website has given some thought to their action and is therefore a more qualified prospect, a better visitor. Google and others will likely charge more for this. I’ll pay. It’s worth it.

Content Creation Opportunities

To be included in an AI overview your content has to be relevant and useful. Unfortunately, a great deal of today’s content isn’t. At the Seattle conference I attended some of the sessions talked about SEO tricks and games you can play with content (keyword stuffing, hidden links, showing different content to search engines than what is shown to users) to get noticed by Google. AI will help to stop this. As it gets smarter it will be better able to root out this nonsense so that it’s displaying the best answers possible.

Which means that the best content will be included in AI overviews and the websites with the best answers will have a better chance of being found. No games. No tricks. Just good, valuable content. And not content generated by AI because AI will be able to figure that out too.

This will be an opportunity for quality content providers – writers, bloggers, creators, etc. – to step up their game and prove their value. The best ones will rise to the top, unburdened by the crawlers and spiders, that held them down. People worry that AI will replace content providers. It’s actually the opposite. It’s creating more opportunities for them.

“AI is reading the same content that the human would have and building summaries based off of that,” Rose said. “So again, you need great content. Content is still king.”

All of this is happening now. But we’re still early days. Google is still Google. ChatGPT and other chatbots are infants in the search world and still hallucinate too much. But you can easily see the future. And the future is a world where, thanks to AI, Google no longer monopolizes search. For a small business owner like me, that world can’t come soon enough.

Feature image credit: Getty Images

By Gene Marks

Find Gene Marks on LinkedIn and X. Visit Gene’s website. Browse additional work.

Sourced from Forbes

By Tom Goodwin

Tom Goodwin believes marketing has lost its way and that many of the ‘modern’ lessons are taking us backward. Here, he explains himself and shares what lessons we should salvage from the performance-heavy playbook.

I lost my temper on a podcast the other day. I was exhausted, jacked on espresso, and ended up ranting pretty hard about how messed up advertising has become.

Now that I’ve slept, petted a puppy, and bought a nice plant, I feel calmer.

But. I still stand by everything I said.

Now I just want to offer solutions to the chaotic mess I described.

No other industry has declined so badly in the past 20 years as marketing. I don’t think any other industry has so much fraud, as many lies, and as much general intellectual flimsiness as marketing.

If your doctor told you to try homeopathy, you’d laugh in their face, unless you were old and French. Yet at conferences, people parrot slogans like “people buy the why” or “working at the speed of culture” and get met with nods of gormless approval.

We’ve lost the plot.

The gap between what advertising promises and what it delivers is embarrassing. Be it automatically generated or not, there is an absolute sea of irrelevant ugly crap that we are served. It is a disgrace, and it seems, a growing problem.

But here’s the good news: brands aren’t dead—they’re more essential than ever. Marketing should be driving innovation, growth, and understanding. Instead, it’s become tactical, short-term, and aimless.

I don’t think any industry is as lost as marketing.

In the last 20 years, we’ve tossed out centuries of knowledge and replaced it with buzzwords, A/B tests, and shallow metrics. We worship data, even when it’s irrelevant. We change things constantly, but rarely stop to think.

The modern playbook is great if you’re a niche brand with a small budget and an online store. But for most companies?

It’s useless.

This playbook became the entire modern playbook. We have mass market brands that boast about the need to have one-on-one conversations with people at scale.

We have endless conversations about click-through rates in categories that are irrelevant.

We optimize against things that don’t matter.

We completely ignore the things that do, like whether humans see the ad, like it, remember it, or think it looks nice.

We are absolutely and tragically lost.

So, here are six ways to fix it:

1. Almost everything we knew about marketing in 1920 is still incredibly true today. If you write down a list of how to best do marketing: market orientation, targeting, positioning, propositions, target audiences, segmentation, the need for consistency, the need for salience, 99% of the rules are the same and absolutely vital.

2. Also learn everything in the “new marketing” playbook. Know how to retarget, create lookalike audiences, understand the power of retail media, understand attribution, creative optimization, programmatic audience buying, and play around with marketing dashboards.

3. Establish your personal criteria for success. Realistically, are you just trying to keep your job by utilizing bullshit data and helpful lies? Or is it important for you to grow your business via branding over the long term? Are you trying to be proud, flog a company, get a promotion to a tech startup, or know what you actually want to do?

4. Based on all of this, figure out what to take from the new and the old. Quite a lot of the new marketing playbook, and the stuff that people drone on about, is absolute nonsense. Most companies really don’t need that much data to target people well.

Most performance data is actually incredibly unhelpful. CTRs are irrelevant, ROAS is a lie, and attribution is the art of finding people who were going to buy, not creating success. Provably, most forms of advertising personalization are entirely ineffective. They waste money on data and technology and, at best, perform about the same. Almost all of advertising’s impacts take a really long time to happen, but they are lost a really long time.

The new marketing playbook was based on a complete lack of understanding about how advertising works. Advertising generally works on consistency. The new advertising playbook that wants to change copy 25 times, and see what works best.

Advertising generally works on a shared understanding, brands become cultural elements by being known by a large group of people, far beyond the target audience. Expensive advertising is far more effective; it conveys trust, confidence, and creates appeal.

Almost everything that companies are striving to do, from constant measurement to real-time agility, microtargeting, buying efficiency, and AI optimization, is the antithesis of what is successful for most brands that we work with.

At the very best, they do a fantastic job of taking credit for existing interest, converting efficiently and immediately from a tiny pool of people, while doing nothing to expand the brand appeal over geography or time.

5. Work around the incredible opportunities that new devices and new technology allow. We have the best screens we’ve ever had, we have the best contexts for marketing that we have ever had, we have the most sophisticated canvas of opportunity that we could imagine, and we have tended to replicate most easily things we’ve done before. Now is the time to re-imagine what marketing could actually be around the change parameters of this era.

6. Persuade your board to trust you. This is the hard part. The great tragedy of this moment in time is that the boards have been lied to and told that marketing is a science and can be measured precisely. We have an arithmetic culture, where data is valued more than experience and instinct.

If you are to do your job well, and to be proud of what you accomplished, you have to be prepared to go into the board and say trust me this will work, it will work for a really long time, it will work in a large number of ways, and its impact will not be easy to measure, and nor will it happen immediately, or directly.

Because that’s how advertising, most of the time, for most brands, and most situations, works.

So do we want to hide behind spreadsheets and point to precise ratios in a dashboard, or do we want to make work that we feel proud of.

Do we want to make a difference, call out bullshit, and make advertising feel great again?

Do we want to feel good about what we do? Do we want to trust our instincts?

Do we want to fight for what we know to be true?

Watch the full episode here.

Feature image credit: Adobe Stock

By Tom Goodwin

Tom Goodwin is a globally recognized expert in marketing trends, AI, and digital transformation. He is the founder of All We Have Is Now, author of Digital Darwinism, and a keynote speaker at events all over the world. His work emphasizes “nowism,” a pragmatic approach to futurism that advocates using existing technology to drive meaningful change.

Get in touch with Tom on LinkedIn.

Sourced from The Drum

By Jill Standish

Retailers are navigating relentless disruption—and nowhere is the impact more acute than in merchandising.

Merchandising is the heart and soul of retail—the bridge between product selection and customer engagement, shaping both sales and brand loyalty. From sourcing at the right price to planning where and how to sell, merchants partner with planning and inventory teams to forecast trends and position stock.

Historically, success was measured by margins, turns, and sales. Merchants won by reading seasonal trends, cultivating supplier relationships, and interpreting market dynamics.

At the same time, merchants face economic headwinds, geopolitical challenges, inflation, and supply chain disruptions that have shifted from exceptions to assumptions.

With more than half (54%) of consumers viewing uncertainty as the new normal (Accenture’s Latest Consumer Pulse Survey), retailers must build resilience and expand what “consumer-focused” means. It’s no longer just selling products—it’s building true consumer intimacy.

This demands that merchants immerse themselves in the whole person: their needs, their desires, their and their world. Because consumer behaviours shift quickly, static plans give way to real-time adjustments and rapid test-and-learn—ready to pivot when the unexpected happens.

With retail more complex than it’s ever been, and merchandising at the centre of it all, the question is whether the merchant role evolves—or is redefined entirely.

A New Way Forward: The ‘Consumer Visionary’

We’re already seeing merchants evolve into Consumer Visionaries—leaders who blend deep human understanding with technology to make fast, informed calls. They prioritize sustainability, know how to create engaging experiences and content, and build partnerships that go beyond traditional supplier relationships.

However, it’s not just what people buy—it’s why. Curiosity about psychology and culture, paired with technology, turns insight into action that benefits customers and the business.

Consider social commerce: platforms like TikTok Shop have erased the line between content and commerce. Feeds now feature live demos, shopping events, and creator recommendations.

The Dual-Mode Merchant

To succeed as consumer visionaries, retail merchants must excel at two complementary skills.

First, act as content curators, blending online and offline experiences to collapse barriers between merchant and consumer. It requires acting as an influencer—actively posting on social media about products and showcasing brand personality by sharing content to test new ideas, drive sales, and influence behaviour. It also means a closer, more symbiotic relationship with marketing, whether within the retailer’s own walls or through external partners.

Fully integrating across emerging platforms and payment methods, from third-party marketplaces to payment facilitators, delivers a seamless, cohesive journey from awareness to purchase and beyond. This requires carefully curating product presentation, experience touchpoints, and logistics into a single, seamless performance; delivering a unified brand experience that earns trust and inspires loyalty.

Second, orchestrate the ecosystem to manage the entire consumer experience from start to finish by using AI and other technologies to make teams more effective, while creating unique interactions that shape how people discover and buy products. This is more than just deciding what products to carry; it’s about coordinating suppliers, technology platforms, and partners to create experiences that feel seamless and exciting. It’s also about using live data and insights to adapt instantly to trend, market, inventory, and consumer factors—dynamically adjusting curated assortments, layouts, and pricing to enhance local relevance and customer satisfaction.

Four Pillars To Consider

Success as a consumer visionary comes down to getting four foundational areas right.

  1. Decode The Customer
    Reveal motivations, emotions, and jobs-to-be-done—not just purchases. Track emerging signals and anchor every decision (assortment, content, service) in what feels timely, relevant, and resonant.
  2. Automate To Elevate
    Use AI and automation to absorb routine work so merchants focus on strategy. Connect digital and physical journeys, and build data capabilities for real-time decisions on content, pricing, inventory, and experience.
  3. Orchestrate Connected Offers
    Craft value propositions that differentiate through engagement and emotion. Deliver a consistent brand across online, store, and social channels, with curated assortments that serve distinct missions and needs.
  4. Delight At Speed
    Adopt a continuous test-and-learn rhythm. Move fast on trends and signals, iterate quickly, and create breakthrough moments that surprise, delight, and build loyalty.

Making It Happen

As retailers prepare for the future, those that invest in developing these capabilities will create durable advantages beyond traditional differentiation.

Successful consumer visionaries will cut through complexity by staying anchored in consumer value. They blend data, imagination, and technology with an authentic grasp of human desire, and in doing so, position the future merchant to know what customers want—often before they do.

Feature image credit: getty

By Jill Standish

Find Jill Standish on X.

Sourced from Forbes

By Maria Greaves,

Marketing leaders from Microsoft Advertising, Skoda, Unilever, Samsung, Philips and more gathered to confront the AI shift head-on. Are CMOs truly ready to lead in a machine-shaped world? This is what they said – unfiltered, relevant and urgent.

“We’re not just adapting to technology: we’re adapting to a completely new marketing paradigm,” says Globant Gut’s managing director, Marwa Khalife. She was speaking at The Drum and Globant Gut’s roundtable, to kick off the new AI Marketing Pulse editorial series.

It’s a stark warning – and one that lands hard in a room full of global marketing leaders from Microsoft Advertising, Skoda, Unilever, Samsung, Philips, Channel 4, Babyshop, Carwow, ESL Faceit, Okta.

This isn’t another polite panel about AI hype. It’s a candid, unscripted reality check that proves AI is no longer a curiosity – it’s the engine beneath the hood of modern marketing. It’s reshaping everything from content production and media targeting to how brands build trust and stay relevant. And so marketers are no longer just brand storytellers. They’re being asked to evolve into hybrid creative-technologist-business architects.

So the question on the table is, are CMOs truly ready for all that AI is offering them? And what does it take to lead, not lag, in an AI-powered era? What follows is a bracingly honest – and often philosophical – discussion that proves AI’s impact goes far beyond productivity hacks.

Build to last – AI for brand transformation

At Unilever, the promise of AI isn’t about the flashy future – it’s foundational. “We created this tool called Brand DNAi. We’re programming [it] to be like a brain for our brand assets,” says Selina Sykes, vice-president of digital marketing and social first at Unilever Beauty & Wellbeing: “Anyone producing content anywhere in the world can access it, talk to it, and ensure what they’re creating is truly part of the brand’s equity.”

Meredith Kelly, head of marketing at Škoda, echoes the importance of control and consistency across markets as AI fast becomes a connector for legacy automotive brands facing global fragmentation: “We use a kind of ChatGPT-style tool to help make sure ideas are understood across markets and interpreted through the right lens.”

Meanwhile, at Microsoft Advertising, the transformation is deeper than brand assets – it’s strategic intelligence. “We’re using [AI] to cover knowledge gaps,” says Ryan Miles, director of international marketing, going on to explain how it uncovers strategic insights that would normally take weeks or months to identify.

For CMOs, the shift is not just operational: it’s existential. As Ben Carter, global chief customer and marketing officer at Carwow, puts it, it’s about freeing up humans to do the smarter things: “It requires a cultural mindset shift… thinking ‘model-first’ rather than ‘human-first’.”

Marketing to the unseen – audiences in the agentic age

But in a world of disappearing signals and fragmented attention, it’s not just about how AI helps brands. It’s about who those brands are even talking to. Enter the age of agentic audiences: hyper-individualized, highly fluid, and often invisible in traditional datasets.

Claudia Calori, vice-president, head of marketing at Philips, describes how synthesized personas are redefining targeting. “Large language models actually work best when they have a persona to refer to. It gives teams a human reassurance,” and helps them test ideas at scale, she says.

Khalife has seen this play out across clients, with brands beginning to use the different personas as “real-time testing within a very tailored focus group.”

But synthetic insight isn’t always pure insight. As Mads Peterson, managing director of Globant Gut Copenhagen warns: “You can get some very serious hallucinations, if you don’t structure your data [correctly]. And then there’s privacy – can we even use this data?”

These nuances reflect a deeper challenge: bias. While AI can uncover hidden patterns in vast datasets, it can also reinforce outdated assumptions and inherited flaws.

“If you don’t train the model with diversity, you get predictable, one-note results,” warns Fabio Tambosi, senior brand marketer, former Nike, Nokia and Adidas.

For Mitin Chakraborty, head of marketing at Babyshop, that’s a strategic red flag: “What if it’s helping you repeat mistakes that were relevant 10 years ago, but aren’t now?”

Iain Walters, head of marketing at Channel 4, puts it more bluntly: “If people see a piece of AI-generated content pretending to be the real thing and then realize it’s AI, they literally switch off.” That viewer instinct underscores the human test every brand must pass: trust, relevance and emotional connection.

Creative courage – AI as the new creative muse

If brand and audience are transforming, so too is the creative process. But does AI enhance creativity, or dilute it?

“AI is a facilitator, not a creative boss,” says Antonia Faulkner, senior director of corporate comms, ads marketing and insights, Samsung Ads, explaining that “it helps brands be more experimental” in a fragmented media landscape.

But true creative courage lies in pushing AI beyond tropes. That means not just accepting the first answer but taking it to where the magic happens in the second iteration and beyond. It’s a team sport between human and machine, explains Nicolas Rodet, senior vice-president global head of digital, Okta: “It’s an extra asset for validating the experience” but the human is still the one who defines it.

That interplay between automation and intuition is a recurring theme. “A well-phrased prompt is very similar to a well written brief,” says Calori: “And if you really challenge yourself dialectically, that’s where GPT can really help you to stretch your thinking further.”

The new CMO mandate

So where are CMOs really on the adoption curve? The answer is: building, questioning, experimenting, and, most of all, adapting.

“I always think about AI as a foundational technology, the same as electricity [and] the printing press,” says Sykes: “It’s not about the AI – it’s what you do with it.”

As the conversation wraps, the group is left not with all the answers, but with better questions. Questions about ethics, creativity, inclusivity and meaning. In short, the kind of questions that define leadership in the AI era. Because AI might help you do more. But only humans can decide what matters.

To hear the full, unfiltered conversation, including candid takes on creativity, culture change in the age of AI and actionable advice for marketers, watch the highlights video from the roundtable above and on The DrumTV.

By Maria Greaves,

Sourced from The Drum

By Francesca Pezzoli

VP Marketing at Looper Insights. Writing about how AI is transforming marketing strategy, visibility, and long-term growth planning.

For decades, search engine optimization (SEO), pay-per-click (PPC) advertising and paid media strategies have been grounded in one central truth: If you could optimize your content to appeal to Google’s algorithm, you could climb the ranks, earn visibility and influence discovery. Whether it was organic reach or ad placement, it revolved around Google’s ecosystem. That ecosystem has shaped how most companies structure their marketing strategies, hire teams and allocate budget.

But with generative AI tools changing how people search, that centre of gravity is changing. This shift is happening faster than most in our industry are ready to admit.

The Shift From SEO

At the time of writing, Google still holds its dominant position in search. Gemini, despite being integrated into some search experiences, has not yet meaningfully disrupted that dominance. But what users encounter when interacting with Gemini through standard Google Search feels significantly different—less intuitive and less capable—than the experience within the standalone Gemini app or other generative tools. The first issue is usability. The second—and more complex—is trust.

Most generative tools currently offer unsponsored results. For now, when I ask a model like ChatGPT, “Which are the best analytics platforms in media and entertainment?” I get a list shaped by public data and contextual relevance, not paid placements. That is a major contrast to traditional search, where we have spent years fine-tuning search engine marketing (SEM) strategies that would help position our companies near the top of the results page.

This shift means companies, including ours, are pausing to rethink. At Looper Insights, we have started reducing investment in SEO and PPC—not because they are suddenly worthless, but because we need time to understand how this new search behaviour works and where it is heading. When the rules change, it is smart to slow down and observe before going all in.

For others looking to follow suit, I recommend reinvesting some of that budget into activities that feel less volatile and more value-driven, such as live events and well-placed PR. These are hardly new tactics, but they are gaining new relevance. In a fragmented search environment, you need credibility to travel with the user wherever they go. A thoughtful piece of press coverage or a face-to-face conversation builds trust in ways no keyword strategy ever could.

A New Phase In Marketing

What’s tricky is that many agencies and consultants are already rushing to sell AI-driven SEO strategies, and it’s easy to see why. When your role depends on staying ahead of change, there’s pressure to appear as though you’ve already cracked the code. But the reality is, no one has. Not yet. The platforms are still evolving. Monetization models remain unsettled. And most importantly, user behaviour is still shifting, sometimes week by week.

Will generative tools eventually introduce sponsored recommendations? Most likely. If you look at how Google evolved, it is a familiar pattern. Trust first, monetize later. Once a tool becomes embedded in how we work, shop, travel and even diagnose our health, the influence it holds becomes exponential. When that time comes, the marketing playbook will change again, but we are not there yet.

We are, however, seeing clear early signals. According to Similarweb, about 60% of Google searches now end without any external clicks. Users are increasingly finding what they need directly in search summaries without ever visiting a site. Data shared by Barron’s (registration required) shows Google-generated traffic has already dropped by 20% for travel sites, 17% for news outlets and 9% for e-commerce platforms. This is a measurable decline that reflects real behavioural change.

For marketers, this is both exciting and uncomfortable. We are entering a new phase. For the first time in a long while, we are not optimizing incrementally. We are facing a foundational shift in how visibility is earned.

The old frameworks are not being improved—they are being replaced. That does not mean we need to panic, but it does mean we need to pay close attention and be willing to experiment without expecting familiar returns.

Closing Thoughts

I believe there has never been a better time to be in marketing. The past decade gave us refinement. The next 10 years will bring reinvention. The unknown brings some hesitation, but mostly, it brings energy. I feel fortunate to be doing this work right now.

This article is the first in a series about the pillars of marketing that are being reshaped. Next, I will explore how the shift toward hyper-personalized content capsules could upend everything we thought we knew about content creation, messaging and what relevance really looks like in this new environment.

Feature image credit: getty

By Francesca Pezzoli

COUNCIL POST | Membership (fee-based)

VP Marketing at Looper Insights. Writing about how AI is transforming marketing strategy, visibility, and long-term growth planning. Read Francesca Pezzoli’s full executive profile here.

Find Francesca Pezzoli on LinkedIn. Visit Francesca’s website.

Sourced from Forbes

By Meera Navlakha

More AI-powered ads are coming to your search results.

Google is pushing advertisers to buy ads in AI mode, according to a report from AdAge. The publication caught onto slides from Google pitching AI Mode ads to potential buyers.

“Be part of our most powerful AI search experience, as customers explore their biggest questions with AI Mode,” read one slide in the presentation. “As we apply the power of Generative AI to Search, Ads will continue to play a critical role in helping consumers find helpful information and enabling businesses to be discovered online.”

Google reportedly told advertisers that the new ads would come in the form of text and shopping ads with product details within AI Mode chats. The ads would be presented in response to user queries.

From a mock-up in the presentation, the ads appear in banners under AI search queries, indicated by a “Sponsored” label. The slides describe the AI Mode advertisements as an “experiment.”

According to AdAge, Google will roll out ads in AI mode before the fourth quarter. The tech giant told AdAge that they have already started showing more ads in AI mode and have seen “incredible results.” In May 2025, Google announced that it was testing these ads, writing in a blog post, “Where relevant, ads may appear below and integrated into AI Mode responses.”

Google’s revenue from ads was estimated to be $96.5 billion in the fourth quarter of last year alone. So far, advertisements have been rare in AI chatbots like Google Gemini and ChatGPT. But as Google shifts away from traditional search and toward AI search, the company’s massive ad inventory could shift as well.

Google has a big head start when it comes to AI search, and so far it has 30 times more traffic than its rivals. Its AI search results surpassed those of rivals like ChatGPT, with 16.5 billion visits in December 2024.

Google inserting ads into its AI search tools is just the beginning. Spending on AI-powered search advertising is projected to reach nearly $29 billion by 2029, according to Reuters.

 

Feature image credit: Google.

 By Meera Navlakha

Meera is a journalist based between London and New York. Her work has been published in The New York Times, Vice, The Independent, Vogue India, W Magazine, and others. She was previously a Culture Reporter at Mashable.

Sourced from Mashable

By Gabriel Shaoolian Edited by Micah Zimmerman

Emotional branding is no longer enough. Today’s consumers reward functionality, not just familiarity.

32% of customers say they would walk away from a brand they love after just one bad experience, no matter how long they’ve been loyal

Brand loyalty isn’t dead, but it is evolving. At Digital Silk, we’ve worked with hundreds of growing brands across industries, and the pattern is clear: emotionally driven loyalty is losing ground to functionality-first experiences. Consumers don’t just want to feel something — they want things to work.

And that’s a shift both in sentiment and in economics.

A decade ago, brands poured resources into storytelling and emotional resonance. But today’s consumers, especially Gen Z and Millennials, are loyal to experiences, not just feelings.

As McKinsey notes, more than 75% of consumers have changed buying behaviour since the pandemic began, with many switching brands due to availability, value or digital service quality.

To stay competitive, brands need to rethink loyalty not as a marketing campaign but as a product feature.

Functionality now defines loyalty

Amazon is continuously ranked as the most trusted brand in the retail and eCommerce category in the U.S., and that’s not because of its logo or brand promise. It’s because Amazon delivers, literally and metaphorically. Free returns, one-click ordering and fast shipping are tangible functions that keep customers coming back.

And it’s not just Amazon. In a Deloitte study, 84% of consumers ranked “program simplicity and ease of use” as one of the most important loyalty attributes. This shifts the narrative. While emotional connection once held sway, today the true battleground for loyalty is built on functional design—loyalty programs and platforms must work seamlessly, not just look or feel good.

Convenience is the new brand personality.

Loyalty programs are being re-engineered for utility

Traditional points-for-purchase loyalty programs are fading. Today’s leaders are embedding rewards directly into product functionality. Starbucks is a prime example, not because of stars and freebies alone, but because of how the program powers frictionless ordering, payment and personalization through its mobile app.

As of September 2024, the company reported $1.7 billion in deferred revenue tied to stored value cards and loyalty activity, with over $1.6 billion expected to be redeemed within a year, according to its annual report. That is proof that users are consistently engaging with the platform, placing mobile orders, customizing drinks and redeeming offers as part of their daily routine.

This level of functionality doesn’t just improve convenience. It reinforces habit loops that make the app, not just the coffee, the sticky part of the brand experience.

Uber takes a similar approach. Through its free Uber Rewards program and paid Uber One membership, the brand rewards active users with friction-reducing perks like priority pickups, price-protected routes, free deliveries and cashback on rides.

These benefits are functional. Uber One members now account for 40% of Uber Eats U.S. bookings, spend four times more per month, and show 15% higher retention than non-members. Loyalty, in this case, is a consequence of daily usefulness.

This shift away from symbolic rewards toward integrated utility reinforces the point: the most effective loyalty programs today earn attention; they don’t ask for it.

What this means for your brand

Stop thinking about loyalty as a brand halo. Think of it as friction reduction. Ask:

  • How easy is it to reorder or renew?
  • Do your top customers get better service, faster responses or deeper insight?
  • Is your loyalty program integrated into the daily flow of your product?

If not, you’re leaving equity on the table. Loyalty shouldn’t live in a separate system, but in your UX.

Almost 90% of customers say the experience a company provides is as important as its products or services. That experience starts with functionality: seamless logins, fast checkout, accurate personalization and responsive support.

AI personalization is reinforcing functional loyalty

AI is accelerating this shift. Brands are now using real-time behavioural data to offer smarter, faster and more relevant experiences.

Netflix’s content suggestions, Spotify’s Discover Weekly and Amazon’s product recommendations all operate on this principle. These platforms don’t ask for loyalty. Instead, they earn it through predictive personalization and time-saving interfaces.

AI serves customers, but it also trains them to return.

The emotional layer still matters — but it’s built on function

To be clear, emotional affinity still matters, but only after functional trust is built.

Apple users may love the brand, but they wouldn’t stick around if the devices stopped syncing. Netflix wouldn’t survive on content alone without its intuitive interface and hyper-personalized recommendations.

Functional loyalty is the gateway to emotional connection, and not the other way around.

Make loyalty invisible

The most successful loyalty strategies are the ones customers don’t notice. They just work. They’re embedded in your product, reinforced by your service and rewarded by your infrastructure.

Brands that still chase emotional loyalty without delivering on functional expectations risk becoming irrelevant. The future belongs to businesses that treat loyalty not as a feeling to inspire, but as a function to engineer.

By Gabriel Shaoolian Edited by Micah Zimmerman

CEO and Fouder of Digital Silk and OysterLink

Gabriel Shaoolian is a serial entrepreneur. His latest ventures include Digital Silk, a leading global agency specializing in growing brands online, and OysterLink, a platform dedicated to job opportunities in the restaurant and hospitality sectors.

Sourced from Entrepreneur

By 

Have you ever wished you could create stunning, professional-grade product ads without spending hours behind a camera or shelling out for expensive design software? Here’s the fantastic option: with advancements in artificial intelligence, you can now produce polished, eye-catching visuals in just minutes. Yes, minutes. Imagine uploading a simple photo of your product and watching AI transform it into a sleek, market-ready ad that looks like it came straight from a high-end studio. This isn’t just a time-saver; it’s a creative revolution. Whether you’re a small business owner, a social media marketer, or an e-commerce entrepreneur, the ability to craft high-quality ads quickly and affordably is a powerful tool for levelling the playing field.

Corbin Brown walks you through how to harness AI tools like Runway to create customized product ads that align with your brand’s identity and marketing goals. You’ll discover how to take a simple product photo and, with just a few clicks, transform it into visuals tailored for platforms like Instagram, Pinterest, or your website. From defining your aesthetic vision to experimenting with dynamic backgrounds, this guide will show you how to unlock creativity without technical barriers. Whether you’re looking to save time, cut costs, or simply elevate your marketing game, this process offers a glimpse into the future of advertising—one where innovation meets accessibility.

AI-Powered Product Ad Creation

TL;DR Key Takeaways :

  • AI tools like Runway simplify the creation of professional-grade product ads, eliminating the need for expensive equipment or professional expertise.
  • Users can transform basic product images into polished visuals by uploading them to AI platforms and customizing them with prompts for lighting, backgrounds, and styles.
  • AI-generated visuals can be tailored for various marketing platforms, such as social media, e-commerce, and website banners, making sure optimized dimensions and cohesive branding.
  • Post-editing with tools like Photoshop or Figma allows for additional refinements, such as adding text overlays, aligning with brand colours, or incorporating design elements like logos.
  • AI tools offer speed, precision, and cost-efficiency, allowing businesses to quickly produce high-quality visuals while maintaining brand consistency across all marketing channels.

Transforming Product Photography with AI

AI has transformed product photography by allowing you to convert simple images into professional-grade marketing visuals. Start by capturing a clear photo of your product, ideally against a plain, uncluttered background. Upload this image to an AI platform like Runway, where you can use prompts to define the desired aesthetic. For example, you might specify lighting conditions, background themes, or stylistic effects that align with your brand’s identity.

These tools offer exceptional flexibility. Whether you need a clean, studio-style image, a vibrant outdoor setting, or a bold and dramatic colour palette, AI can generate visuals tailored to your specific marketing goals. This adaptability ensures your ads resonate with your target audience while maintaining a cohesive and professional appearance.

Step-by-Step Guide to Creating AI-Generated Ads

Creating AI-powered product ads is a straightforward and efficient process. Follow these steps to get started:

  • Capture a photo: Take a clear, high-resolution image of your product against a simple background to ensure the AI has a clean base to work with.
  • Upload to an AI tool: Use platforms like Runway to upload your image and access their suite of editing and enhancement features.
  • Define your vision: Input prompts to guide the AI. For example, specify “bright natural lighting,” “sleek modern backdrop,” or “vibrant outdoor scene.”
  • Experiment and refine: Test multiple prompts to explore different styles and select the output that best fits your brand and marketing objectives.

This process not only saves time but also eliminates the need for costly equipment or professional photography services, making it accessible to businesses of all sizes. By using AI, you can focus on creativity and strategy rather than technical execution.

Easily Make AI Product Ads Quickly

Customizing Visuals for Marketing Platforms

One of the most powerful features of AI tools is their ability to customize visuals for specific platforms and purposes. For instance, you can adjust image dimensions to fit the requirements of various platforms, such as Instagram posts (1:1), Facebook banners (16:9), or Pinterest pins. This ensures your visuals are optimized for maximum impact on each channel.

AI tools also allow for dynamic background customization. Replace plain backdrops with settings that align with your product and audience. For example:

  • A pet product could feature a lively park scene with pets in action.
  • A luxury item might benefit from a sleek, minimalist studio environment.
  • A fitness product could be showcased in an energetic gym setting.

These adjustments help create a cohesive and visually appealing brand identity across all marketing channels, making sure your ads stand out and effectively engage your audience.

Enhancing Visuals with Post-Editing

While AI tools generate high-quality visuals, post-editing can further refine your product ads. Software like Photoshop or Figma allows you to add finishing touches, such as text overlays, colour adjustments, or minor corrections. For example:

  • Add promotional messaging, such as discounts or limited-time offers, directly onto the image.
  • Align the visuals with your brand’s colour palette to maintain consistency across campaigns.
  • Incorporate design elements like logos or call-to-action buttons to enhance engagement.

These final adjustments ensure your product ads are polished, professional, and ready for publication, helping you make a lasting impression on your audience.

Applications Across Marketing Channels

AI-generated visuals are versatile and can be applied across a wide range of marketing platforms. Here are some common use cases where these tools can make a significant impact:

  • E-commerce: Create consistent, professional product listings for online stores, making sure your products look appealing and trustworthy.
  • Social media: Design platform-optimized posts for Instagram, Facebook, Pinterest, or TikTok to engage your audience effectively.
  • Placeholder images: Generate visuals for products not yet available for traditional photography, allowing you to market them ahead of time.
  • Website banners: Produce customized promotional assets for your website, such as hero images or seasonal campaign banners.

By using AI, you can maintain brand consistency while reducing the time and cost associated with traditional photography. This versatility ensures your marketing efforts remain efficient and impactful across all channels.

Efficiency and Precision in AI Tools

AI tools like Runway excel in delivering both efficiency and precision, making them invaluable for modern marketing. For example, if your product packaging includes intricate details or text, the AI can replicate these elements with remarkable accuracy. This ensures your visuals maintain brand integrity, which is especially critical for e-commerce and advertising.

The speed of AI tools is another significant advantage. You can produce high-quality visuals in minutes, allowing quicker turnaround times for marketing campaigns. This is particularly beneficial for businesses that need to respond rapidly to market trends, seasonal demands, or promotional opportunities. By streamlining the creative process, AI allows you to focus on strategy and execution rather than production.

Elevating Your Marketing with AI

AI tools have fundamentally reshaped the way product ads are created, offering a fast, accessible, and cost-effective solution for businesses of all sizes. By combining customizable prompts, advanced image enhancement, and post-editing options, you can produce professional-grade visuals tailored to your marketing needs. Whether you’re designing e-commerce listings, social media posts, or promotional banners, AI ensures consistency, precision, and efficiency. Embrace these tools to streamline your workflow, reduce costs, and elevate your brand’s visual identity across all platforms.

Media Credit: Corbin Brown

By 

Sourced from Geeky Gadgets

By Keith Turco

The future belongs to performance-first strategies.

Traditional advertising, as we know it, will be dead by 2030.

A harsh prediction, maybe, but the truth is that today’s modern buyer has evolved and so must our industry. Now, more than ever, we are witnessing a signficiant shift from passive exposure to performance-based engagement, from reach to relevance, and from assumptions to intelligence. Traditional marketing and its old model built on impressions, eyeballs, and generalized awareness, is out. Performance marketing is in, as the go-to marketing approach. Here’s how we’ll continue to see this evolution take shape.

Move from just a tactic to a mindset

Let’s clear up an incorrect assumption: Performance marketing is not a bottom-of-funnel activity focused on lead generation, paid media, or last-click conversions.

It’s also not about chasing clicks. It’s about driving business outcomes using data to make smarter decisions, engaging accounts with the right message at the right time, and constantly refining the approach based on what’s working and what’s not. And it’s doing all of this while still building the brand. When approached this way, performance marketing transforms from a tactic to an operating system and mindset for driving growth by empowering marketers to prove value, accelerate outcomes, and align every effort to business performance.

Prioritize precision and personalization at scale

If you’ve been in this industry for decades like I have, you’ll have seen a number of performance marketing versions, e.g. database, direct, and one-to-one marketing. And although the name has changed, the core of performance marketing has not. It has, and always will be, about efficiency and about getting the most return for every dollar spent. However, effiency doesn’t necessarily mean automation for automation’s sake.

In the age of intent data, AI, and multi-channel orchestration, it means smarter targeting, more relevant messaging, and engagement that actually resonates. This is important in today’s performance-driven world where relevance is also vital for today’s buyer.

When orchestrated and implemented correctly, the highest-performing marketing programs:

  • Use real-time data to prioritize in-market accounts
  • Personalize content messaging to real-time behaviors
  • Reach all buying group members across trusted touchpoints
  • Measure influence at the account and buying group level—not just the lead level

When done right, performance marketing allows brands to scale without sacrificing precision and deliver the kind of high-value experiences that build trust and moves business forward. It’s how we move from noise to relevance—and from campaigns to conversations.

Remember that brand still matters, but it must perform

In this evolved model, performance marketing isn’t about chasing the lowest cost per lead—it’s about driving full-funnel impact.

Brand and performance are no longer separate. Brand creates demand and performance captures it. This is also known as branded response. Every piece of thought leadership, every display impression, every awareness ad must ladder up to a larger objective: building momentum with the right audience. Every communication both builds the brand and elicits a response.

A strong brand strategy helps open doors, but performance marketing ensures those doors lead somewhere. It’s not just about being memorable; it’s about being measurable. Great branded response campaigns can, and should, be evaluated based on their ability to influence pipeline, move buyers through the funnel, and ultimately impact revenue.

The marketers who understand this will be the ones who future-proof their programs. They won’t treat brand as a “top-of-funnel” checkbox, but as a foundational layer that supports and amplifies performance across the entire journey.

Brand done right fuels performance. Performance done right amplifies brand.

Measuring without context is misleading

We’re swimming in data, but too often it’s disconnected from real outcomes. A spike in engagement means nothing if it doesn’t translate to progress. A “lead” isn’t a measurement of success if the buying group never converts.

We can no longer afford to celebrate empty signals. Effective marketing requires aligning performance metrics to business outcomes, not just channel-level outputs. True performance marketing moves beyond vanity metrics with attribution models that reflect how buying decisions are made: collaboratively, over time, and across multiple touchpoints.

The future belongs to performance-first marketers

Marketers today are under more pressure than ever to prove their value. But that pressure also presents an opportunity to reframe performance not as a siloed function, but as a strategic lever for growth.

As B2B buying continues to evolve, the marketers who succeed won’t be those chasing the lowest cost per lead. They’ll be the ones building intelligent, data-driven programs that connect, convert, and contribute to real business outcomes.

That’s why traditional advertising as we know it won’t survive. The future belongs to performance-first strategies that deliver relevance, speed, and ROI in real time. Marketers who embrace this shift won’t just survive the next decade—they’ll define it.

Let’s stop chasing clicks and start delivering outcomes. Real performance marketing is just beginning.

Feature image credit: Getty Images

Keith Turco is CEO of Madison Logic.

Sourced from Fast Company

 

By Rodney Mason,

Working with creators is no longer a bolt-on marketing tactic in digital commerce; creators are the strategy. As we move through the second half of 2025, I’m seeing three big creator-led trends transforming how consumers discover and how brands must respond to stay ahead. Whether it’s in store aisles or on TV screens, creator content has become a powerful driver of discovery, trust and conversion.

1. Creator-Generated Content Is The New Standard

User-generated content (UGC) was once the golden ticket to authenticity, but now, many consumers want trusted voices with taste, and that’s where creators shine. Research from Matter Communications found that 69% of consumers trust recommendations from creators, alongside those from family and friends, more than branded content.

Shoppers now expect a personalized experience that feels authentic, relatable and tailored to their preferences. And creators are delivering.

Creator content is also extending beyond digital. According to our recent study (download required), three in four consumers want to see creator content while they shop. They’re engaging with creator content at nearly every step of the path to purchase, even inside the store. A staggering 92% of our platform users say they’ve made an in-store purchase based on a creator’s video, and they would prefer to engage with creator content in four key ways while shopping in store: looking up content on social media, checking brand websites in real time, scanning QR codes and viewing content on in-store tablets or signage.

For brands, this means that integrating creator content into the full shopping journey, both online and offline, is no longer optional. It’s essential. Start by partnering with creators who authentically align with your audience, and then map their content to key decision moments like trending videos to spark discovery or a product demo in-person to bridge the gap between online and offline.

2. Bigger Screens, Bigger Impact

A Pew Research Center study found that 83% of U.S. adults are now using streaming services, and a study by Shopsense AI and EMARKETER found that after being inspired by something on TV, almost three-fourths of viewers (registration required) search online and consider a purchase, make a purchase or do both.

As streaming platforms are becoming storefronts, creators can play a significant role in messaging. According to a Deloitte study, 49% of Gen-Z and 40% of Millennial consumers say they want to see their favourite online creators in TV shows and movies.

Sixty-one percent of our platform users report being influenced by trends they see on streaming shows, and then searching for and purchasing those items through creators. The connection between entertainment and commerce is accelerating, and creators are the bridge.

This shift presents a massive opportunity for brands: Integrating creator-led content into streaming and connected TV not only boosts visibility but also can build deeper emotional connections. As Gen-Zers increasingly rely on creators for recommendations, integrating creators into what they’re watching feels more like a natural extension of entertainment than an ad, and that’s where the magic happens.

To successfully integrate creator-led content into streaming and connected TV (CTV), start by identifying top-performing creators and content for your brand or category.

Once you’ve partnered with a creator, don’t script the CTV spots. Instead, provide a brief that includes front- and back-end branded bumpers delivering the opening and closing, and allow the creator to deliver their message in their own voice, similar to their top-performing content. Or pull their top-performing content directly and edit it down into the spot format.

Once the spot is complete, align CTV to your audiences with characteristics similar to the creator’s followers.

Establish a clear window with no CTV in advance of airing the spot for a period of time equivalent to the time the spot will run, and also provide a clear window with no spots for the same length of time as the CTV air dates. Compare performance during the run and the next period for engagement versus the initial clear window period.

3. Welcome To The Era Of ‘Me Media’

Today’s consumers aren’t just looking for inspiration; they’re looking for themselves in the content they consume. We found that 67% of our platform users return to search for the same creators again and again. Why? Because those creators reflect their style, preferences and even their zip code.

This hyper-personalized, identity-driven behaviour is fuelling what can be called the rise of “me media”: content that reflects each consumer’s personal style, values and daily life.

The connection between consumers and creators is increasingly local as well: 58% of Gen-Z consumers trust gift recommendations from local or micro-influencers.

The takeaway here? Relatability has become the new reach.

What All This Means For Brands

Brands that want to win in the second half of 2025 need to do more than just work with creators. They need to build and scale with creators, and embed them across multiple consumer touchpoints—from creator collaboration campaigns to digital and social ads, streaming and CTV, audio and retail media network channels and in-store merchandising.

To do that, start identifying all touchpoints and assets across your complete customer journey. Then, work with creators to develop messaging to test in collaboration campaigns. Identify which creators and messages generate the best response and engagement. Once you’ve identified the top performers, go back to those creators to expand the winning content across the customer journey in the correct formats and length, with the right messaging.

As we enter the busiest retail months of the year, creators aren’t just influencing what’s trending. They are the trend.

Feature image credit: Getty

By Rodney Mason

Find Rodney Mason on LinkedIn and X. Visit Rodney’s website.

COUNCIL POST | Membership (fee-based). Rodney Mason is Head of Marketing Brand Partnerships at LTK with extensive creator, marketing and research experience for leading brands. Read Rodney Mason’s full executive profile here.

 

Sourced from Forbes