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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

By Katelyn Chedraoui

AI is the new social media intern, even if it isn’t creating the posts and images we see on our feeds.

You don’t have to be chronically online to know that generative AI has infiltrated nearly every part of our online lives. Social media is no exception: Meta’s AI chatbot pushes its way into search on Instagram and Facebook, and Grok offers chat and content creation on X. AI video generation features have emerged on SnapchatYouTube and TikTok.

Beyond its reach to users, artificial intelligence is increasingly significant behind the scenes as a professional tool for social media brands and creators.

According to a new global survey from the social platform management company Metricool, the majority of social media managers (96%) use AI tools to help them with their work. Nearly three-quarters of social media marketers use AI every day.

“All of us are trying to figure out the best way to use [AI], the right tools, and how to really hone it into our own brand voice,” said Anniston Ward, US PR events and education manager for Metricool. “Everyone’s trying to understand the best way to use it.”

While AI can bring time-saving benefits to the people behind the posts, generative AI comes with worrisome risks in shaping our online and offline realities. As our favourite brands and creators find new ways to harness AI, it’s bound to reignite the debate around how to take advantage of valuable AI use cases while prioritizing human connection.

An AI-enabled social media future also raises concerns around deterring AI slop — mass-produced, junky and superficial content that clogs up the web and social media accounts.

Here’s how creators are using AI and what pitfalls lurk.

How AI is used in social media marketing

In many cases, social media jobs involve several roles in one: content creator, customer service representative, data analyst, trends spotter, and external communications. As teams and budgets shrink, social media professionals are bound to feel more stretched, as they face high expectations to post multiple times a day on several different platforms. The industry is no stranger to burnout.

And therein lies the great appeal of AI, which promises to speed up workflows and automate mundane tasks.

“The reality is, if you’re managing multiple accounts and churning out endless content, you do need an extra pair of hands. I think AI has basically become that extra pair,” said Matt Navarra, a social media industry expert and founder of the Geekout newsletter.

AI can be thought of as a “super-powered intern,” Navarra said.

According to the Metricool survey, the most common use of AI is content idea generation or brainstorming (78%), followed by writing posts, captions, and copy (72%), and adapting existing text for different tones or channels (68%). Reflecting those use cases, most of the popular AI tools are chatbots. ChatGPT nabbed the top spot, followed by Canva, Gemini and Perplexity.

Professional photographer Gissel Arbelaez relies heavily on social media to reach new customers for her business in Buenos Aires. To make sure those channels are picture-perfect, she uses AI to correct and improve her English.

“Since English is my second language and around 70% of the people I work with are English speakers, I need to make sure my grammar is spotless. Nothing goes on my social media without being checked by AI first,” Arbelaez said via email. She also occasionally turns to AI editing tools in Adobe Creative Cloud, like generative fill and remove.

AI has also come into play among bigger teams focused on social media and marketing. Alba Benítez, director and founder of marketing firm Plural Agency, said her team uses AI to unify their knowledge bases and files to “save us from the small frictions” and streamline processes.

“[AI] has freed up mental space for creativity. I can now dedicate more energy to developing fresh projects and pushing our communication further, instead of being stuck in the noise of operations,” Benítez said.

Creating original content through photo and video shoots can be expensive and time consuming. AI can help stretch or adapt one piece of content to work for multiple channels, whether that’s clipping a video, resizing visual assets or generating different versions of the same message to match the tone of each platform’s audience.

This behind-the-scenes AI usage isn’t immediately apparent in the feeds of scrolling viewers. Just as AI can alleviate administrative burdens for creators, it can also elevate our social media experiences, if managed appropriately.

When (and why) not to use AI

AI is not always suitable or useful for social media professionals. Quality is a big concern, with 45% of Metricool’s survey respondents reporting it as the primary reason they hold back on AI.

Quality issues can range from chatbots hallucinating and making up false information to more dangerous things like replicating biases in their training data. A content creator wouldn’t use an AI-generated product image if the program misspelled the company’s name, for example.

“There’s a constant battle of ‘Is AI-generated content the same quality as human voices?'” Ward said.

Even if AI tools improve accuracy and match content quality, maintaining a unique voice and personality is key for big brands and small creators. If they rely too heavily on AI for content creation and editing, they risk losing their individuality. As Navarra put it, AI can draft, but humans must polish.

“If a brand sounds the same because they’re all using the same [AI] model, social media becomes incredibly boring and ceases to be a platform for connection,” said Navarra.

If the entirety of your X or Instagram feed is AI-generated garbage, you’re more likely to miss posts you find valuable and eventually be persuaded to ditch the platform. Even as social media gets more fragmented, we’re still looking to be informed, entertained and connected. Badly done AI threatens that.

Reputational harm and backlash

Apart from AI slop, which is pretty widely hated, there’s an inherent risk in using the tech at all. Generative AI is controversial, from worries about job security to legal, ethical and environmental concerns. Using AI for content creation or marketing comes with the risk of alienating an AI-wary audience, especially since not all platforms require labels to be added to AI content, and many can’t flag AI usage on their own. It’s not just low-quality, biased or misleading AI content that can upset users; it’s more subtle AI usage and a lack of disclosures.

Recently, Duolingo announced an internal AI initiative, prioritizing AI over human translators. Vogue included a Guess ad in its July print edition, and readers later learned that the model wasn’t real but created with AI. Followers and fans of both brands immediately took to social media to tell the brands directly why they were so unhappy with those pivots to AI.

“We’re all in this limbo period right now where we’re pressured to use AI. It does help a lot with the content ideation and generation, but I think there are some missing gaps in how to use it thoughtfully,” said Ward.

Those gaps can quickly become obvious and detrimental to a brand. To put it in perspective, Arbelaez said all her social media efforts are to build trust with potential and existing customers. Any social media expert will tell you that it’s easy to lose an audience’s trust and much harder to earn it back.

Finding the right balance of AI for everyone

Every creator I spoke with highlighted places in their work where they wouldn’t use AI. The specific tasks varied, but the common denominator was drawing the line before AI could infringe upon or replace human creativity. Strategy, decision-making and sensitive communications are areas where AI has no place, Benítez said. Navarra echoed that sentiment, adding that AI might be the intern, but it shouldn’t be the creative director.

We’re in a new reality where the internet seems to be as much human as AI. While AI slop is pretty widely hated, there is a new spectrum gauging how much AI we will tolerate on our feeds. A big part of that is if we know AI is being used, whether the platform labels it as such or the creator discloses it themselves.

There is a not-small segment of social media users who won’t tolerate any AI. Some are totally pro AI. Finding the right balance is the challenge for social media managers.

For the rest of us, we have to hope and trust that brands and creators understand that we don’t want them all to sound and look the same.

“Social media’s always been about connection, and I think AI can help with the media part, but the social part, the trust, the humour, the empathy, that’s still human,” said Navarra. “Brands that remember that will be the ones that serve their customers well and win.”

Feature image credit: Andriy Onufriyenko via Getty Images

By Katelyn Chedraoui

Sourced from CNET

 

By Mike Balducci

To find the best influencers for your affiliate marketing program, look for posting frequency and links, not likes and followers, says Mike Balducci (general manager affiliate, e-commerce and payment solutions, CreatorIQ).

The skyrocketing growth in e-commerce that took place during the pandemic is over.

After enjoying 20%+ growth rates for over five years, e-commerce activity is falling back to earth, forecast to sink into the single digits thanks to a combination of a post-pandemic shift back into brick-and-mortar stores and an overall pullback in discretionary spending due to a pending recession.

As a result, marketers of all stripes are under pressure to deliver results tied to the bottom line, what some call “performance marketing.” In the creator-led marketing space, that means expanding the goal of creator-led campaigns from general awareness to lower-funnel results – specifically, sales.

Creators to the rescue

One tactic gaining traction is merging creator-led campaigns with affiliate marketing programs, using publisher partners who can promote a brand’s product and earn a commission for the sales that result. Our recent trends report found that 69% of brands incorporate discount codes and other affiliate links in connection with influencer collaborations, and 84% found this to be either a very or somewhat successful strategy.

So while brand awareness will always play an important role and drive tangible value, justifying investment in creator-led campaigns will require more, like ROAS and other metrics that directly correlate to performance outcomes like sales and revenue.

What’s more, social commerce is expected to pose a significant challenge to traditional e-commerce channels. A January 2022 report from Accenture predicted that the global social commerce industry could grow three times as fast as e-commerce, from $492bn in 2021 to $1.2tn by 2025. Driving that growth is the primary audience for creator-led campaigns Gen Z and Millennials — which the same report says will account for 62% of social commerce spending worldwide by 2025.

Fans over followers

But what drives these trends are still organic, authentic experiences generated by creators with loyal, engaged followers. That reality is dictating how brands execute creator-led affiliate campaigns.

For instance, historically brands would evaluate creator partners based on their content and number of followers. But as we examine the results of successful creator-led affiliate campaigns, that’s no longer the primary metrics to evaluate potential creator partners. When it comes to affiliate creator partnerships, other social media metrics have a stronger correlation with sales results.

Our data consistently shows that the smaller the following, the more influence the creator has over their audience and the more likely that associated affiliate campaigns will succeed. Put another way, working with one mega influencer with millions of followers will ultimately net lower affiliate link clicks than working with 100 influencers each with one-tenth the following. The smaller the creator, the better they will likely perform as an affiliate publisher.

We’re talking absolute numbers here, not relative to total following. Some of the top performing creators fall into that nano category with less than 10,000 followers. They’re producing tens if not hundreds of thousands of dollars in sales results through their affiliate partnerships. They might not have the most followers, but they frequently produce video content that gets viral distribution on Instagram and TikTok. And the more frequency and reach of video on those platforms, the more sales results you get.

Links over likes

When diving deeper into the social metrics for top-performing affiliate influencers across our platform we see some other surprising results. The average number of likes and comments a creator gets on posts typically is the least important factor for affiliate performance. More important is the number of recent posts and the creator’s willingness to work with brands as evidenced in their past posts.

Most traditional influencer marketers will quickly pass over a creator profile containing lots of recent posts with some sponsored posts mixed in, but a very low engagement rate. Yet this could be exactly the kind of high-performing creator profile that affiliate marketers should be inviting to their affiliate creator program, because frequency of posting content and links are a bigger indicator of affiliate performance than follower counts, likes and comments.

What this means for brands pursuing affiliate creator campaigns is the need to work with a powerful influencer discovery tool that can also help manage and partner with hundreds if not thousands of creators at a time based on an affiliate partnership model.

This requires a number of things.

Transparency and integration

First, it requires the ability to integrate your creator management platforms with your affiliate marketing platform so that there’s consistent tracking between them. Tracking clicks and sales is all well and good, but to scale and replicate that success requires granular visibility into what’s driving those sales and clicks. The only way to achieve that is by owning and operating a complete, end-to-end affiliate/creator network yourself.

Affiliate platforms will tell you which creator drove what sale so you know who to pay a commission to. But it can’t tell you much more than that. If all you’re doing is tracking sales, you’re not learning much about how they’re achieved.

A full-funnel view of the complete picture requires integrating your affiliate and creator platforms. Seeing what creators are doing across different social platforms, how they’re promoting your content, and then tracking the results of that activity gives you a much broader view of the social media activity that is driving your conversion results.

It combines the upstream activity of social media activity, publishing, reach, frequency and awareness of the creator’s content, with the lower-stream view of their clicks, sales and performance. That’s full transparency.

Finding and managing creator partners

Second, it means using the intelligence gained from these integrated platforms to discover and recruit more creators to your affiliate effort. Once you’ve identified the creators and the content that drive sales, then you can use creator discovery tools to find other creators with similar audience and social profile characteristics and recruit them into your affiliate creator program.

Remember, it’s a volume game. Working with 100 nano-influencers rather than one mega-influencer requires more search, discovery, and management, but as the numbers show, that effort pays off. The more creators in your program, the better.

But competition is going to be fierce. Recruiting creators is like acquiring customers: they only work with the few brands they love and use every day. Many, if not most, nano-creators are hobbyists. They have loyal followers, but they’re not professional publishers, and they’re certainly not professional affiliate marketers.

They’re not joining affiliate networks and looking for brands to work with, and those who might try are unlikely to succeed. There are too many unfamiliar questions, and confusing interfaces. They don’t know how to find and work with brands inside the affiliate network environment.

Integrating an affiliate network with a creator management platform that’s built with a creator-first mentality not only eases these frictions, but provides a better experience for the brand, the creator, and ultimately the customer. It simplifies and centralizes all the technical components required to deliver a successful creator marketing program for performance objectives, giving brands an easy way to measure and validate creator marketing and grow the number of creators they work with.

By Mike Balducci

General Manager affiliate, e-commerce and payment solutions

Sourced from The Drum

BY ANNABEL BURBA

This content lends brands much-needed authenticity, says creator economy expert Keith Bendes.

TikTok, Instagram, and X posts are familiar sights in text conversations, news articles, and even Slack messages. Soon, they’ll also become mainstays of TV and billboard advertisements, according to creator economy expert and Linqia chief strategy officer Keith Bendes.

“We’re entering influencer 3.0,” he says. During the first era of influencer marketing—which Bendes calls “1.0”—companies started paying content creators to post branded content on their popular social-media pages. Influencer 2.0, he says, came about once brands started posting creator-made content on their own pages and paying to promote it.

Bendes characterizes the third era of influencer marketing as brands realizing creator content does better than their own “in basically every single channel” and starting to use it “literally everywhere.”

Some brands have already done this. Better-for-you soda maker Poppi put flattering X posts on billboards for its “Soda’s Back!” campaign in 2023. McDonald’s debuted a TV commercial in Switzerland last year made “entirely” from TikTok videos about its limited-edition sauce containers, according to advertising agency TWBA, which created the campaign.

Bendes adds that Dunkin’, luggage brand Away, canned water brand Liquid Death, and social-media management platform Hootsuite have also used social-media content for real-world ad campaigns.

He says brands are using this content as “social proof of, like, these people really love our product. They’re talking about it online—like you should do—they look just like you, they act just like you. These aren’t hired celebrities.”

Anticipating demand for this kind of ad campaign to grow, Linqia recently released a tool that helps businesses leverage creator-made content across different mediums. TikTok introduced a tool with a similar function in 2023.

“The world wants more authenticity,” Bendes says. “Trust of brands is at an all-time low. Trust of creators and influencers is at an all-time high. Brands realize, ‘OK, maybe I want to put people on every screen that look and act more like the everyday person.’ ”

Feature image credit: Getty Images

BY ANNABEL BURBA

Sourced form Inc.

By Annaleis Montgomery,

When someone searches on social, what do they really want? Annaleis Montgomery at Tug Agency explains how AI is helping brands to deliver on customer expectation.

Social search has moved beyond just a concept and into an actuality that agencies are fighting to nail. It’s becoming a primary way audiences discover brands and products, with search behaviours shifting from traditional engines like Google to platforms like TikTok, Instagram, and YouTube. In fact, according to a study by Tint, over 75% of consumers have used social media to search for or discover new brands and products.

AI is at the heart of this transformation. Gone are the days when a simple keyword match was enough to surface relevant content. Today, AI delves into the very essence of user intent, context, and human emotions to deliver a more nuanced, effective experience. This shift means marketers can’t afford to stick to traditional SEO strategies, but need to embrace an intent-focused approach to authentically connect with audiences at all steps of their user journey, which includes social searches on social media platforms.

Deciphering intent

A sophisticated interplay of data analysis ius needed to go beyond surface-level queries. AI reviews user behaviour, engagement patterns, and content to paint a big picture. AI can detect user intent in a number of ways.

One of these is through sentiment analysis. This allows AI to understand the emotional tone behind a user’s language. Are they expressing frustration, curiosity, excitement, or a need for information? Sentiment analysis identifies nuances in phrasing, emojis, and even the pace of interaction to infer underlying emotions and ultimately intent.

Then there are contextual cues. AI doesn’t just look at individual keywords; it considers the surrounding conversation, the user’s past interactions, and their demographic information. If someone consistently engages with content about sustainable fashion, AI understands their ‘search’ for a new pair of jeans isn’t just about finding a piece of clothing, but likely one that aligns with their eco-conscious values.

And lastly, there’s behavioural data. Every click, like, share, comment, and reach provides valuable data. AI algorithms analyse these engagement patterns to understand what resonates with a user. If a user consistently watches long-form videos on a specific topic, AI learns they prefer in-depth content for that subject, influencing future search results.

Although keywords still play a role in the initial analysis, they can’t capture the fluidity and complexity of human communication on social platforms. A user searching for ‘best coffee’ might be looking for a local cafe, a recipe for brewing at home, or even a review of a new coffee machine. Traditional keyword matching would struggle to differentiate these intents, leading to less relevant results.

Content for intent

Given this strategic evolution, marketers must shift their focus from stuffing keywords to creating content that truly resonates with diverse user intents.

What exactly does this involve? Firstly, SEO teams need to understand the ‘why?’ behind the search. Instead of asking what users are searching for, they need to focus on why they’re searching for it. What problem are they trying to solve? What aspiration are they pursuing? What emotions are being expressed?

Secondly, thorough user journey mapping needs to happen. Teams need to acknowledge that users have different needs, questions, and intentions at different points in their search journey. Because of this, different stages of the user journey require different types of content. For example, a user in the awareness phase might need informative blog posts, while another in the consideration phase might be looking for product comparisons or testimonials.

And lastly, there needs to be a prioritization of value and empathy. Content that provides genuine value and demonstrates empathy for the user’s situation will perform better in an AI-driven search environment. SEO teams must focus on solving problems, answering questions, and inspiring action.

Measuring success requires moving beyond traditional KPIs. SEO teams now need to look at metrics like sentiment shifts (as mentioned earlier, we’d want to prioritize content that had a ‘positive’ sentiment), as well as the more classic metrics like comments and shares that help understand engagement. We can draw similarities between a ‘like’ and a ‘click’, which we use to measure SEO performance, and ‘estimated reach’, which is similar to an organic impression, as it shows how many unique users have seen the content without it being paid for.

Like SEO, social search comes with a whole host of performance metrics and touchpoints we need to understand to help us pinpoint gaps, opportunities, and instances of growth.

Stay relevant

AI-driven social search is the new way to connect with users by understanding their deeper motivations. To truly succeed, marketers need to know how to achieve this. Traditional marketing and SEO no longer accurately represent a user’s search journey. Going beyond the norm and exploring other organic search methods, as well as using AI-powered searches, can help us understand a user’s intent and facilitate that journey to conversion.

If your content isn’t optimized for this intent-driven AI, you’re essentially invisible to a significant portion of your target audience. Users are increasingly interacting with search in conversational ways, expecting immediate, relevant answers, often directly within the search interface itself. Additionally, if your brand isn’t producing content that AI can ‘feature’ – such as structured FAQs, how-to guides, or comparative analyses – you’re sacrificing your visibility.

For Tug, understanding and leveraging this shift is paramount to keeping our competitive streak and clients happy. Our proprietary Helpful Content Tool allows us to audit content at scale, score helpfulness, and identify areas to optimize in line with how AI search algorithms reward helpfulness with greater search visibility. Providing users with a specific scoring criterion, the tool helps overlay content optimization efforts with search and business performance KPIs.

As we look forward, social search is no longer a prediction but our reality. By embracing the evolution of AI-powered search and adapting our strategies, marketers can unlock opportunities to connect with their audiences on a deeper, more meaningful level.

By Annaleis Montgomery,

Sourced from The Drum