What Google SERPs Will Reward in 2026 [Webinar] via @sejournal, @lorenbaker

The Changes, Features & Signals Driving Organic Traffic Next Year

Google’s search results are evolving faster than most SEO strategies can adapt.

AI Overviews are expanding into new keyword and intent types, AI Mode is reshaping how results are displayed, and ongoing experimentation with SERP layouts is changing how users interact with search altogether. For SEO leaders, the challenge is no longer keeping up with updates but understanding which changes actually impact organic traffic.

Join Tom Capper, Senior Search Scientist at STAT Search Analytics, for a data-backed look at how Google SERPs are shifting in 2026 and where real organic opportunities still exist. Drawing from STAT’s extensive repository of daily SERP data, this session cuts through speculation to show which features and keywords are worth prioritizing now.

What You’ll Learn

  • Which SERP features deliver the highest click potential in 2026
  • How AI Mode features are showing up and initiatives to prioritize
  • The keyword and topic opportunities that still drive organic traffic next year

Why Attend?

This webinar offers a clear, evidence-based view of how Google SERPs are changing and what those changes mean for SEO strategy. You will gain practical insights to refine keyword targeting, focus on the right SERP features, and build an organic search approach grounded in real performance data for 2026.

Register now to understand the SERP shifts shaping organic traffic in 2026.

🛑 Can’t make it live? Register anyway and we’ll send you the on demand recording after the event.

Why Your Small Business’s Google Visibility in 2026 Depends on AEO [Webinar] via @sejournal, @hethr_campbell

AI Assistants Decide Which Local Businesses Get Recommended

In 2026, local visibility on SERPs is no longer controlled by traditional search rankings alone. 

AI assistants are increasingly deciding which businesses get recommended when customers ask who to call, book, or trust nearby. 

Tools like Google Gemini, ChatGPT, and Siri are shaping these decisions in ways that leave many small businesses unseen.

AI-powered search is already influencing your shoppers’ choices without a website click ever happening. 

Your future customers are relying on answer engines to surface a single recommendation, not a list of options. 

Yet most small businesses remain invisible to AI because their Google Business Profile information is incomplete, inconsistent, or structured in ways these AI chat systems cannot confidently interpret. The result is fewer calls, missed bookings, and lost revenue.

In this upcoming webinar session, Raj Madhavni, Co-Founder, Alpha SEO Pros at Thryv, will explain how AI assistants evaluate local businesses today and which signals most influence recommendations. He will also identify the common gaps that prevent businesses from being selected and outline how to address them before 2026.

What You’ll Learn

  • How to implement AEO to improve local business visibility
  • The ranking signals AI assistants use to select local businesses
  • A practical roadmap to increase AI driven visibility, trust, and conversions in 2026

Why Attend?

This webinar gives small business owners and marketers a clear framework for competing in an AI driven local search environment. You will leave with actionable guidance to close visibility gaps, strengthen trust signals, and position your business as the one AI assistants recommend when customers ask.

Register now to prepare your business for local AI search in 2026.

🛑 Can’t attend live? Register anyway, and we’ll send you the on demand recording after the session.

The State of AEO & GEO in 2026 [Webinar] via @sejournal, @hethr_campbell

How AI Search Is Reshaping Visibility & Strategy

AI search is rapidly changing how brands are discovered and how visibility is earned. 

As AI Overviews, ChatGPT, Perplexity, and other answer engines take center stage, traditional SERP rankings are no longer the only measure of success. 

For enterprise SEO leaders, the focus has shifted to understanding where to invest, which strategies actually move the needle, and how to prepare for 2026.

Join Pat Reinhart, VP of Services and Thought Leadership at Conductor, and Lindsay Boyajian Hagan, VP of Marketing at Conductor, as they unpack key insights from The State of AEO and GEO in 2026 Report. This session provides a clear look at how enterprise teams are adapting to AI-driven discovery and where AEO and GEO strategies are headed next.

What You’ll Learn

Why Attend?

This webinar offers data-backed clarity on what is working in AI search today and what to prioritize moving forward. You will gain actionable insights to refine your strategy, focus resources effectively, and stay competitive as AI continues to reshape search in 2026.

Register now to access the latest guidance on growing AI visibility in 2026.

🛑 Can’t make it live? Register anyway, and we’ll send you the recording.

The New AI Marketplace: How ChatGPT’s Native Shopping Could Rewrite Digital Commerce via @sejournal, @gregjarboe

When OpenAI quietly added native shopping to ChatGPT – alongside a partnership with Walmart – it marked more than another AI feature rollout. It signaled a fundamental shift in how consumers discover, compare, and purchase products online.

For the first time, shoppers can browse and buy directly inside an AI conversation – no search results, no scrolling, and no marketplace middleman.

To understand what this means for the future of search, marketplaces, and digital marketing, I spoke with Tim Vanderhook, CEO of Viant Technology, who recently shared his perspective on LinkedIn. Vanderhook believes this move could redefine the entire digital commerce ecosystem, breaking down the “gatekeeper dynamic” that platforms like Amazon and Google have long relied on.

In this direct conversation, he explains why LLM-powered shopping could reshape the funnel, rewrite the rules of attribution, and open the door to a new kind of AI-native marketplace.

The Beginning Of A New Marketplace

Greg Jarboe: You called this “the beginning of an exciting new kind of marketplace.” How do you see LLM-powered commerce evolving over the next few years, and what will make it fundamentally different from search- or marketplace-driven models like Google or Amazon?

Tim Vanderhook: We see LLM-powered commerce as a foundational shift, not just in how people discover, but in how they interact with products, services, and brands. Traditionally, platforms like Google, Amazon, or Walmart served as digital commerce gatekeepers, where visibility is controlled by rankings, algorithms, or marketplace dynamics. In an LLM-powered future, the interface becomes conversational, personalized, and far more dynamic.

This model re-centers discovery around intent, not just keywords. Rather than a one-size-fits-all search result, consumers will have AI-driven shopping assistants that understand context, including where, when, why, and for whom they’re buying. This collapses the “search → click → checkout” funnel into a single, intelligent conversation.

For marketers, that means success will be driven by the quality of engagement and product fit, not just ad spend or ranking. In many ways, it’s the inverse of the search economy: Instead of bidding for space, brands will need to earn their way into relevance via storytelling, brand-building, and trust.

Breaking Down The Gatekeepers

Greg Jarboe: You wrote that OpenAI’s move could “break down the gatekeeper dynamic” that Amazon, Walmart, and others rely on. Is this the start of a real power shift in digital commerce? Or will the incumbents adapt fast enough through partnerships and integrations to maintain their dominance?

Tim Vanderhook: Absolutely, and it’s already underway. Legacy players like Amazon have long benefited from their control of both inventory and discovery. That changes when the discovery interface shifts from their search bars to independent, intelligent LLMs like ChatGPT.

That said, don’t count them out. These incumbents have built massive infrastructure and trust. Many will adapt – and fast – by integrating with LLMs or embedding their services into new ecosystems. But the power dynamic will shift: from owning the funnel to participating in a more open, orchestrated marketplace.

In that new environment, the advantage goes to whoever can deliver the best outcome, not just whoever owns the shelf.

The New Role Of Brands And Marketers

Greg Jarboe: If the LLM becomes the new interface for discovery and transactions, what does that mean for brands and marketers? How should they rethink SEO, paid media, and retail media strategies when product visibility depends on conversational AI rather than rankings or ad placements?

Tim Vanderhook: It’s a seismic change. When product discovery becomes conversational and personalized – not driven by static rankings or paid placements – traditional media strategies need a new playbook. Brands must optimize not just for keywords, but for context. That will elevate the importance of full funnel advertising, tailoring paid media strategies around intent and ensuring retail media campaigns can be activated, optimized, and measured in real time.

And in an LLM-driven world, one of the only ways to guarantee visibility is to be the brand consumers ask for by name. Most marketers still spend nearly 70% of their paid ad budgets on channels like search and social that harvest existing intent or “Demand Capture” and only 30% ad spend on long-term brand-building channels like Connected TV and streaming audio that drive real “Demand Generation” and new business growth. That ratio made sense in a keyword-driven world. But in an AI-driven one, marketers have the power to shape the very conversations that define their brands.

The brands people already know and trust are the ones most likely to appear in an LLM’s response. The companies that win in the LLM era will flip that script, and invest MORE in brand, in CTV, in storytelling, the work that generates demand before the consumer ever types (or prompts) a query. In this new landscape, brand storytelling becomes a visibility strategy.

Partnerships Now, Disintermediation Later

Greg Jarboe: You mentioned that in the short term, marketplaces will partner with OpenAI, but in the long term, OpenAI won’t need them. What incentives or business models could sustain those partnerships – and what happens when smaller retailers can plug in directly to ChatGPT?

Tim Vanderhook: In the short term, it’s symbiotic. Marketplaces provide supply, fulfillment, and customer trust – things LLMs need to deliver on the last mile. OpenAI provides access to intent at scale. Both sides benefit.

But long-term, LLMs could grow to be able to connect directly with retailers, cutting out the middle layers. That creates new business models. Think “preferred placement” fees in conversations, affiliate commissions, or verified product data partnerships.

Smaller retailers especially stand to benefit. They’ve historically lacked the ability to compete on page one of Amazon or Google. In a conversational model, they can plug into the system via APIs and win on merit, product value, or relevance – not just ad spend.

The Future Of Attribution And Advertising

Greg Jarboe: How does AI-native commerce change the way marketers should approach attribution, targeting, and customer acquisition when the “search” and “purchase” phases collapse into one step?

Tim Vanderhook: In an AI-native model, the traditional funnel collapses. Search and purchase happen in the same moment, so attribution must evolve. Brands need systems that can measure the full path from prompt to purchase, across channels and devices.

In this new world, marketers must stop chasing last-click metrics and start optimizing for true incrementality. What drove the purchase intent in the first place? How can we replicate that upstream influence? That’s the future, and we’re building for it now.

Trust, Transparency, And Brand Safety

Greg Jarboe: If ChatGPT becomes a transactional interface, how will issues like brand safety, product authenticity, and trust be handled? Will consumers rely on AI-driven recommendations the same way they currently rely on ratings and reviews?

Tim Vanderhook: They will, if and only if, the system earns that trust. That’s why brand safety, transparency, and authenticated data will be non-negotiable.

LLMs will need accountability controls: where the product came from, how it was vetted, and whether it’s real. They’ll need to show their reasoning, not just “what,” but “why.” Consumers are already skeptical of black-box recommendations. AI must be explainable and accountable.

For brands, this means owning your presence in the AI ecosystem. Provide structured data. Ensure your offers and inventory are verifiable. And align with partners who take identity, measurement, and integrity seriously.

As AI reshapes the interface of commerce, I believe those values will only become more essential.

What Marketers Should Do Next

As Vanderhook points out, the rise of LLM-driven shopping doesn’t just introduce another channel – it redefines how intent, discovery, and conversion intersect. For marketers, that means preparing for a world where visibility depends less on search rankings or ad placements and more on how effectively your data, product information, and brand trust are integrated into AI ecosystems.

The winners in this new landscape won’t be those who chase algorithms, but those who make their brands intelligible – and indispensable – to intelligent systems.

More Resources:


Featured Image: SvetaZi/Shutterstock

Top 10 Emotionally-Engaging Holiday Ads Of 2025 (With A Bonus One) via @sejournal, @gregjarboe

Every December, brands battle for something far more valuable than views: emotional resonance. And according to new data from DAIVID, 2025 may be one of the strongest holiday seasons yet for emotionally engaging advertising across North America.

This year shows an acceleration of trends I’ve long argued shape effective holiday storytelling: nostalgia, warmth, joy, and authentic human narratives. These insights echo themes from my other articles on nostalgia marketing, John Lewis, and the full spectrum of 39 emotions that digital marketers can use to deepen engagement.

Let’s break down the list and analyze what each ad teaches us about crafting emotionally resonant creative.

1. Disney, Best Christmas Ever

Directed by Oscar winner Taika Waititi, Disney’s spot leads the 2025 list with a commanding emotional profile: It got 169% more adoration, 149% more nostalgia, 125% more warmth, and 115% more joy than the average U.S. ad.

The story, a young girl’s doodle magically comes to life after Santa mistakes it for a Christmas wish, pulls on the intersection of childhood imagination and holiday wonder.

This kind of warm, universal narrative aligns with what I’ve previously identified in nostalgia-driven campaigns, including the emotional DNA found in John Lewis’s best Christmas ads. Disney proves once again that if you can trigger both memory and magic, audiences respond.

Strategic takeaway: Emotional universality beats demographic targeting. A timeless story, well told, surpasses segmentation.

Score:  58.2% of viewers likely to feel intense positive emotions.

2. Chevrolet, Memory Lane

Chevrolet continues its tradition of leaning into family history, shared rituals, and Americana. “Memory Lane” is a deeply human piece, evoking the kind of reflective nostalgia that has long powered the auto industry’s strongest holiday ads.

This year’s showing demonstrates something I discussed in “Emotions Digital Marketers Can Use in Advertising”: nostalgia isn’t a single emotion. It’s a bundle (longing, warmth, appreciation, bittersweetness) all working together.

Strategic takeaway: When your product has a long lifecycle, storytelling should reference the past to add emotional depth to the present.

Score:  57.5% of viewers likely to feel intense positive emotions.

3. Subaru Support Charities Like Make-A-Wish When You Get A New Subaru

Subaru leans into purpose marketing, reinforcing its “Share the Love” identity. Charity-driven campaigns often rank high on DAIVID’s emotional indices, but Subaru’s strength is its consistency. The ad doesn’t feel opportunistic; it builds on years of brand equity in social good. 

Strategic takeaway: Authenticity is measurable. Audiences can detect whether a brand’s social message aligns with its long-term behavior.

Score:  56.5% of viewers likely to feel intense positive emotions.

4. Publix, Merry Birthday From Publix

Publix has mastered the art of “quiet emotional power.” Its ads rarely rely on spectacle. Instead, they focus on family dynamics, cultural rituals, and everyday moments that feel lived in.

The 2025 entry blends two celebrations (Christmas and a birthday) into a single heartfelt narrative.

Strategic takeaway: Small stories often outperform big concepts. Audiences crave relatability as much as creativity.

Score:  55.6% of viewers likely to feel intense positive emotions.

5. Lego, Is It Play You’re Looking For?

Lego continues to position imagination as its emotional currency. The ad combines fantasy sequences with grounded holiday moments, appealing to both children and nostalgic adults, a dual audience Lego has long excelled at engaging.

This reflects a key insight from my analysis of holiday campaigns in 2024: brands that empower the audience, rather than simply entertain them, create deeper emotional bonds.

Strategic takeaway: Invite viewers into the story. Ads that celebrate creativity encourage emotional participation.

Score:  55% of viewers likely to feel intense positive emotions.

6. Real Canadian Superstore, Bringing The Magic Of The Holidays With The Moose

This ad stands out because it doubles typical U.S. ad levels for warmth and gratitude, two emotions that consistently predict brand affinity.

A whimsical moose may sound silly, but DAIVID’s data tells a bigger story: high-performing retail ads use metaphor and magic to elevate everyday shopping messages.

Strategic takeaway: Unexpected characters can deliver familiar feelings if they serve a strong emotional narrative.

Score:  54.4% of viewers likely to feel intense positive emotions.

7. Teleflora, The Boy And The Bot

One of the most interesting entries, Teleflora’s film blends technology with humanity. A boy befriends a robot, only to discover the emotional meaning behind giving, and receiving, flowers.

For a category traditionally rooted in romance or sympathy, Teleflora’s pivot to holiday sci-fi is bold.

Strategic takeaway: Emotional relevance can come from genre-bending storytelling, when the payoff still ties back to the brand’s purpose.

Score:  54.2% of viewers likely to feel intense positive emotions.

8. Gap, Give Your Gift

Gap has been rediscovering its brand voice in recent years, and this year’s holiday ad continues the trend. Music, movement, and human connection anchor the campaign, familiar territory for Gap, but executed with contemporary warmth.

Strategic takeaway: Legacy brands can win big by refreshing, not reinventing, their core emotional themes.

Score:  53.7% of viewers likely to feel intense positive emotions.

9. Walmart, WhoKnewVille

Walmart goes whimsical with a fictional holiday town and an ensemble cast. While the ad leans more comedic and fantastical than emotional heavyweights like Disney, it still ranks high for joy and warmth.

Strategic takeaway: Joy is an underrated emotional driver. When executed well, it performs nearly as strongly as nostalgia or empathy.

Score:  53.5% of viewers likely to feel intense positive emotions.

10a. Crayola, Blue Christmas (Tie)

Crayola continues to position creativity as emotional healing. “Blue Christmas” plays with color metaphor to tell a story of sadness lifted by artistic expression, a message that resonates with both kids and parents.

Strategic takeaway: Emotional arcs matter. Audiences respond strongly when ads move from negative to positive feelings.

Score:  53.4% of viewers likely to feel intense positive emotions.

10b. Uber, An Uber Holiday Story (Tie)

Uber’s holiday narrative focuses on connection, highlighting moments when rides bring people home, or help people show up for one another. It’s a subtle but effective adaptation of holiday storytelling to the gig economy.

Uber’s presence in the top 10 reinforces what Barney Worfolk-Smith, Chief Growth Officer at DAIVID, said: “The mood of holiday advertising shifts slightly each year, but this festive season we’re seeing an even stronger push toward storytelling over functional messaging. One thing remains constant, though: to win the hearts, minds, and crucially, the wallets of consumers, brands need the emotional lift that only great storytelling can deliver. Those emotional peaks are what ultimately drive real business outcomes.”

Strategic takeaway: Service brands can achieve deep emotional impact when they focus on the human moments they enable, not the service itself.

Score:  53.4% of viewers likely to feel intense positive emotions.

Final Thoughts: The Return Of Big-Hearted Holiday Storytelling

The 2025 rankings reinforce one overarching truth: Emotion, not budget, not celebrities, not media spend, is what drives holiday advertising effectiveness.

  • Disney won because it told the strongest story.
  • Chevrolet and Subaru succeeded because they tapped deep cultural values.
  • Publix and Lego connected through relatability and imagination.
  • Teleflora and Crayola proved that inventive storytelling still wins.

As we enter the final stretch of the holiday season, this year’s ranking offers one more important lesson:

Even in an AI-driven media landscape, human emotion remains the ultimate competitive advantage.

If you want your campaigns to break through the noise, holiday or otherwise, start with emotion, build with authenticity, and let story be your strategy.


Methodology

DAIVID evaluated 176 holiday campaigns, ranking them by the percentage of viewers predicted to feel intense positive emotions. They use a hybrid approach to compile this data. Combining computer vision, audio analysis, facial coding, eye tracking, and tens of millions of human responses to predict emotional impact and brand lift.

For marketers, this matters because:

  1. Emotion is the single most reliable predictor of effectiveness.
  2. AI now makes emotional testing scalable, rather than relying solely on expensive panels.
  3. The 39 emotions DAIVID tracks align closely with modern behavioral science.

Data source: DAIVID’s AI-powered Creative Data API

More Resources:


Featured Image: Roman Samborskyi/Shutterstock

The Top 10 Digital Marketing Trends For 2026 via @sejournal, @gregjarboe

As we head into the new year, the age of experimentation is giving way to the age of execution. The past few years have been about “Can we do it?” – generative AI, the decline of cookies, retail media networks (RMNs), shoppable video, immersive experiences. Now, the question is: “Are we doing it, and doing it well?”

I’m going to walk through the top 10 digital marketing trends that I believe every forward-looking marketer must own in 2026. These aren’t just buzzwords; they reflect profound shifts in how consumers behave, how platforms operate, and how marketers must integrate strategy across data, media, and creativity.

What you’ll see: Conversational search rewriting SEO; video turning fully into commerce; privacy and data ownership as competitive advantage; retail media networks moving from niche to mainstream; creators and communities driving co-creation; AI becoming the operating system of marketing; measurement morphing as attribution crumbles; immersive gamification emerging; and above all, the human edge – the talent and culture that will decide who wins.

Let’s dive in, trend by trend.

1. Conversational Search Redefines SEO

The evolution of search is accelerating from keyword-based queries to conversational queries, away from clicks to answers inside the engine, and from “search” to “wherever people ask questions.” Platforms such as Google LLC (with AI Overviews), Bing Copilot, and other generative-search interfaces are rewriting what “visibility” means.

Search Everywhere Optimization – influence audiences in all the places they go to consume content about your topic – is no longer optional.

From the stats side: Digital marketing industry growth is forecast at a ~13.9 % CAGR over the next years.

For SEO practitioners: Shift from creating pages for keyword rankings to creating authoritative answer-centered content, structured with schema, designed for featured snippets, voice devices, and even generative AI-powered answer boxes. Also, anticipate more “zero-click” scenarios where users get answers without visiting your site.

Takeaway: Optimize for intent, structure for conversational and multimodal search, and measure outcomes beyond clicks (e.g., brand lift, FAQ visibility, conversational voice assistant triggers).

2. The Video-Commerce Boom

Short form, live video, interactive video – the convergence of video and commerce is now in full swing. Social platforms long treated video as engagement; now they’re treating it as transactional.

From recent stats: An IAB study found that 86% of advertisers are already using or plan to use generative AI for video ad production, and projected adoption suggests Gen AI-created video ads will represent ~40 % of all video ads by 2026.

In parallel, social commerce revenues continue to climb, for example, via live-shopping, shoppable posts, and in-stream checkout.

For brands: The key is to treat video not just as storytelling but as a direct path to purchase. That means interactive elements, product overlays, live shopping, shoppable end cards, integration with ecommerce platforms. And from a measurement perspective: Tie views to actions (add-to-cart, check-out) rather than just vanity metrics (views, likes).

Takeaway: Convert video from brand engagement to commerce engagement. Build video assets with embedded purchase triggers and assign them full-funnel measurement.

3. The Privacy-First Data Revolution

The demise of the third-party cookie, increased regulation, and heightened consumer sensitivity around data mean you must look inward: Your first-party data, consent-based profiling, and data architecture become your competitive center.

Recent forecasts by WPP Media suggest global digital advertising will hit north of US$1 trillion in 2025, with digital representing 73.2% of global ad revenue. And according to EMARKETER’s forecast from May 2025, “BUS advertisers are expected to allocate 66% of their digital budget to mobile in 2025.”

What this means: If you rely solely on third-party data or on open-web cookies for targeting and measurement, you’re exposed. You need to build a “data spine” – consent capture, a robust customer data platform (CDP), conversion event APIs (such as from paid platforms), identity resolution, and integrate offline + online signals.

Takeaway: Make first-party data and measurement architecture a foundational pillar of your 2026 strategy. Without it, media investment and optimization will degrade rapidly.

4. Retail Media Networks Go Mainstream

Once the playground of major ecommerce players, retail media networks (RMNs) are now becoming central to brand media planning. Because they combine rich first-party purchase or transaction data with premium placement, they offer one of the few “full-funnel” channels where exposure, consideration, and conversion can be directly tied to real SKU-level outcomes.

According to recent reporting by Business Insider, RMN ad spend is projected to reach roughly $62 billion in 2025, representing about 17.9% of all digital media spend – and the expectation is that share will exceed 20% in 2026.

What this means for marketers: You cannot treat RMNs as an afterthought or “just another display buy.” They deserve full-funnel planning, dedicated measurement (e.g., via conversion APIs and offline attribution), and coordination with your broader media mix. If you’re still viewing RMNs as tactical or experimental, then you risk lagging behind brands that build internal capabilities now.

Takeaway: Build your RMN strategy today. Integrate product data, media planning, and measurement, and align with ecommerce/pricing/product teams to maximize return on investment (ROI).

5. The Creator Economy Evolves Into Co-Creation

Influencer marketing has matured. In 2026, the shift is from paying creators to post, to co-creating with creators – product, campaign, community. Creators are becoming strategic partners, not simply reach vehicles.

Academic research confirms that influencer marketing remains important, yet the landscape is shifting toward deeper partnerships and ownership of creative strategy. Brands will increasingly structure programs where creators ideate product features, create limited-edition lines, or participate in campaign planning. The value: authenticity, niche affinity, and stronger performance than generic sponsorship.

Takeaway: Shift from “influencer as amplifier” to “creator as partner.” Embed creators in product, marketing, and measurement cycles, and treat them as co-owners of the brand experience.

6. Community + Authenticity = The New Brand Moat

In 2026, audiences don’t just want to buy; they want to belong. And they demand authenticity. That means brand engagement built on community, and authenticity built on internal voices (employees, leadership) and genuine brand purpose.

Reports highlight that consumers increasingly seek interaction, transparency, and ethics in brand communications.

From a marketing operational standpoint: Companies will invest more in owned channels (forums, apps, micro-communities), user-generated content, peer-to-peer (P2P) mechanisms, and internal advocacy (employee social, leadership content).

Takeaway: Build and nurture community; activate internal voices; make authenticity measurable (engagement, membership retention, referral), not just “brand good feeling.”

7: AI As The Strategic Operating System

We often talk about AI in creative terms – generative text, images, videos. But the true breakthrough in 2026 is AI as the operating system behind marketing: analytics, optimization, media buying, workflow automation, customer journeys.

According to Reuters, media powerhouse Meta Platforms aims to fully automate advertising with AI by end of 2026. Brands may soon supply a product image and budget and let the AI build the ad, target it, optimize it.

Gartner also emphasizes that marketing’s future is built around data prepared for automated interactions.

For SEO professionals, digital marketers, and content writers: The decision is no longer “Should we use AI?” but “How do we govern, integrate and scale AI across planning, creative, measurement and optimization?” It means human-in-the-loop becomes essential – humans set strategy, guard for bias, ensure brand safety – while AI executes at scale.

Takeaway: Treat AI as your marketing OS. Design your workflows, data architecture, and governance accordingly. Upskill teams accordingly (see Trend 10).

8. Relearning ROI Through Marketing Mix Modeling

With traditional attribution (last click, multi-touch) collapsing under the weight of privacy, walled gardens, and cross-device fragmentation, marketing mix modeling (MMM) is regaining prominence as the lens through which brands measure business impact.

According to stats on EMARKETER, “by 2026, programmatic methods will account for 90% of all digital display ad spending worldwide,” And given these volumes, brands need robust measurement frameworks that go beyond platform-provided attribution.

Open-source tools such as Meta’s Robyn, or other MMM solutions, are being deployed to link media spend to business outcomes – revenue, margin, customer lifetime value. For 2026, you should build or refine your MMM engine and ensure it integrates both online and offline, as well as walled-garden signals.

Takeaway: Invest in MMM infrastructure, align media teams with finance/analytics, and report marketing performance in business terms (incremental lift, ROI), not just vanity metrics.

9. Immersive Experiences And Gamification Redefine Engagement

The boundary between entertainment, engagement, and commerce continues to blur. Augmented reality (AR), virtual reality (VR), gamified campaigns, live-interactive formats – all move marketers beyond static ad formats into memory-creating experiences.

A 2025 Digital Media Trends survey by Deloitte Insights shows that hyperscale social-video platforms are reshaping consumption habits, decidedly moving away from passive to interactive.

For brands: It’s no longer enough to show an image of a product and hope for clicks. Successful immersive programs will incorporate tangible utility (e.g., AR try-ons, live quiz/gamified product launches, metaverse showroom visits) and strong measurement frameworks (engagement → store visits → purchases).

Takeaway: Allocate a portion of media/experience budget to immersive, interactive formats; prioritize real utility and tie back to conversion metrics, not just “wow” experiences.

10. The Human Edge: Upskilling For An AI Era

At the heart of all these shifts is your team. Technology moves fast; people and culture move slower. In 2026, the brands that win will be those who invest in training, hybrid talent, decision-making agility, and cross-disciplinary skills (data, creative, media).

A McKinsey report found that while 92% of companies plan to boost AI investments in the next three years, only 1% consider themselves fully mature, having AI deeply integrated into their operations and delivering significant business results.

So, your 2026 mandate: Build your internal marketing capability around three pillars: data literacy (understanding analytics, measurement, first-party data), AI fluency (how to use, govern, and scale AI), and cross-channel orchestration (media, product, commerce, owned-community). Without that, your strategy may be robust on paper but fragile in execution.

Takeaway: Make upskilling, talent, and culture as important as technology and media. Build a team that can move quickly, learn continuously, and collaborate across functions.

Conclusion: The Age Of Integrated Authority

What ties these trends together? Two words: integrated authority. Marketers in 2026 must move beyond channel silos (search vs. social, media vs. commerce, data vs. creative) and build integrated systems that deliver unified experiences. At the same time, they must earn authority – through first-party data, community-based trust, creator partnerships, and measurable business impact.

As you plan and execute your 2026 marketing strategy:

  • Treat media as conduit to business outcomes (not just impressions).
  • Treat data as capital (not just input).
  • Treat AI as engine (not just experiment).
  • Treat measurement as proof (not just dashboard).
  • Treat talent and culture as differentiation (not just overhead).

The brands and teams that master this discipline will not only keep pace, but they will also define the next wave of digital marketing. The question isn’t which of these trends you pick; it’s how deeply you embed them in your organization and operations.

So, here’s to 2026, the year where strategy becomes execution, complexity becomes clarity, and digital marketing becomes truly business-driven.

While others may see new things and declare, “We’re toast,” we will continue to analyze, synthesize, and examine the top 10 digital marketing trends and declare, “We’re on it.”

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Featured Image: beast01/Shutterstock

Addressing The B2B Trust Deficit: How To Win Buyers In 2026 via @sejournal, @alexanderkesler

We have entered a new buyer era, one defined not by hesitation, but by a fundamental trust deficit in vendor promises.

Buyers are almost twice as likely to do business with vendors they trust; yet many have not established that trust before the crucial moment when shortlists are formed. 85% of buyers choose from their day one shortlist, with 90% having prior experience with at least one of the vendors they considered.

In short, if trust is not established early, you become invisible.

This shift demands a buyer-led approach that prioritizes enablement over lead generation and emphasizes consultative selling and outreach to demonstrate a genuine responsiveness to buyer needs.

In this article, I share a practical blueprint for embedding trust into your go-to-market (GTM) strategy using a layered trust framework as well as actionable tactics to build buyer confidence across every stage of the journey.

Buyer Behavior Has Shifted From Due Diligence To Instant Validation

What we recognize as traditional buyer behavior is centered on extended validation cycles and comprehensive reference checks. While still complex, buying journeys begin invisibly in the dark funnel, and are guided by AI to enable faster decisions.

B2B buyers spend nearly three-quarters of their buying journey researching anonymously before ever contacting a vendor, consuming up to 15 pieces of content before making a purchase decision, much of which resides outside an organization’s direct control.

This is due, in part, to buyers no longer tolerating generic, sales-led conversations. They seek experiences that address their specific challenges and provide personalized guidance through their research process.

The pressure intensifies when evaluating AI-driven solutions. Buyers must distinguish between genuine capability and marketing hype while navigating rapid technological evolution.

This may account for why 78% of buyers select products they had heard of before starting their research; for enterprise buyers, this rises to 86%. Brand awareness and preference carry a premium.

Recognition translates to consideration, consideration to evaluation, evaluation to selection.

Vendor Promises Face A Crisis Of Confidence

A significant trust gap has emerged between vendor promises and buyer confidence. Buyers express deep skepticism about return on investment (ROI) projections, business case assumptions, and sales engagement authenticity.

Only 45% of sellers claim they have fully mastered their client’s pain points and challenges. When salespeople lack confidence in their own value propositions, buyers notice.

This gap manifests in extended decision cycles and increased scrutiny of vendor claims. Buyers seek validation through multiple channels before committing to expensive, high-stakes purchases that affect their professional trajectory.

Where Buyers Place Their Trust

In North America, B2B business buyers rank competence (30%), dependability (19%), and consistency (17%), as the most important trust levers across industries, purchase contexts, and buyer roles.

Data on where buyers place their trust vary, yet all have one point of commonality; they do not include vendors as trusted sources of information:

  • 59% trust consultants and subject matter experts.
  • 68% trust referrals.
  • 71% trust third-party opinions.
  • 82% trust coworkers and internal management.

Vendors cannot control all these channels directly, but they can create strategies to influence their brand presence and reputation, and tailor how they appear in the invisible, AI-driven buying journey.

What This Means For B2B Marketers

Placement on the day one shortlist requires systematic signaling of credibility.

The opportunity lies in closing the trust gap early through content, clarity, and demonstrated value before buyers raise their hand or appear in your client relationship management (CRM) platform. This requires leaning into risk management and brand awareness strategies to establish presence in this invisible discovery process.

Organizations that enable discovery and build confidence outpace competitors who wait for inbound interest.

Building Trust Through Comprehensive Trust Architecture

Effective trust architecture addresses buyer needs across three essential layers:

  • Technical trust.
  • Peer trust.
  • Continuous value.

Technical Trust: Integration Compatibility And Compliance

Technical trust addresses fundamental questions about implementation feasibility, security standards, and operational compatibility.

Buyers need confidence that solutions integrate with existing systems without creating technical debt or security vulnerabilities.

Embed technical trust into your trust architecture by:

  • Deploying comprehensive documentation, implementation guides, and self-service tools that allow technical evaluators to assess compatibility independently.
  • Providing clear information about security certifications, compliance frameworks, and data governance.

Technical stakeholders prioritize clarity, accuracy, and proven results over promotional language.

Peer Trust: Validated Success From Similar Organizations

Peer trust emerges from evidence that similar organizations have achieved measurable outcomes using your solution.

Embed peer trust into your trust architecture by:

  • Facilitating access to case studies, benchmark data, and social proof that speaks to specific use cases and vertical nuances.
  • Aggregating data that demonstrates typical implementation timelines, adoption curves, and outcome ranges, providing buyers with realistic expectations.
  • Enabling direct conversations between prospects and existing clients when appropriate.

Peer validation carries more weight than vendor claims.

Continuous Value: Ongoing Innovation And Client Success Engagement

Continuous value demonstrates commitment beyond the initial sale.

Buyers evaluate whether vendors invest in product evolution, maintain responsive support structures, and enable ongoing optimization.

Embed continuous value into your trust architecture by:

  • Establishing proactive communication cadences that surface relevant product updates, industry insights, and optimization opportunities.
  • Demonstrating commitment through transparent product roadmaps, user communities, and accessible client success resources (e.g., success stories, implementation guides, templates).

Trust Enablers Across The Buying Journey

Your trust architecture requires consistent deployment of these enablers:

  • Show up before the search begins: Brand awareness campaigns, thought leadership content, and industry participation establish recognition before buyers enter active evaluation.
  • Deliver context-aware content that reflects specific use cases and vertical nuances: Generic positioning undermines credibility with buyers who need solutions tailored to their unique challenges.
  • Shift GTM strategy from generating leads to creating confidence: Prioritize buyer enablement over lead generation metrics. Success is measured by influence on buyer decisions, not form completions.
  • Create brand memory links that make your organization unforgettable before the first sales conversation: Distinctive points of view, valuable frameworks, and consistent presence build lasting recall.

How To Create A Systematic Trust Blueprint

A trust architecture defines the layers of buyer confidence.

A trust blueprint puts this into action, providing a scalable system to embed trust across the entire buying journey.

Together, they form a unified strategy: the architecture sets the vision, and the blueprint makes it real, enabling trust where it matters most.

Below is a structured approach to establishing credibility at scale:

1. Create A Unified Trust Document

A centralized trust summary consolidates critical information buyers need to evaluate your solution. This document should address:

  • Security architecture and compliance certifications: Provide clear explanations of data handling practices, encryption standards, and regulatory adherence. Include industry-specific compliance (e.g., SOC 2, ISO, GDPR).
  • Implementation framework and integration approach: Detail typical implementation timelines, resource requirements, and technical prerequisites. Address common integration scenarios with specificity.
  • Proof of outcomes with quantified results: Present aggregate performance data across your client base. Include distribution curves showing typical, strong, and exceptional results rather than highlighting only best-case scenarios.
  • Support structure and escalation paths: Explain how clients access assistance, typical response times, and how critical issues are prioritized and resolved.

Make this document easily accessible and ungated. When buyers can open, read, and share it freely, they circulate it across teams to build internal consensus. Every barrier to access slows that process and reduces momentum toward a deal.

2. Build An Enablement Resources Hub

Each individual member of a buying group evaluates solutions through their functional lens. Develop enablement resources tailored to common stakeholder roles:

  • For technical evaluators: Provide API documentation, integration specifications, security architecture diagrams, and performance benchmarks.
  • For financial stakeholders: Create Total Cost of Ownership (TCO) models, ROI frameworks, and payback period calculators grounded in realistic assumptions. Finance leaders scrutinize economic models.
  • For operational leaders: Demonstrate implementation approaches, change management frameworks, and adoption acceleration strategies.
  • For executive stakeholders: Synthesize strategic alignment, risk mitigation, and competitive positioning.

3. Design Consensus-Building Tools

Facilitate internal consensus rather than requiring target buying group champions to build it independently.

  • Provide comparison frameworks that help buying groups evaluate alternatives systematically. These frameworks should acknowledge strengths and limitations across solution categories, not just promote your offering.
  • Create decision criteria worksheets that guide stakeholders through solution requirements. When buyers use your frameworks to structure their evaluation, you shape the decision criteria.
  • Develop internal presentation templates that champions can customize for stakeholder conversations. Reduce the effort required to socialize solutions internally.

4. Provide Progressive Validation Mechanisms

Enable buyers to validate claims incrementally throughout the evaluation process.

  • Offer technical proof of concepts (POCs) with clear success criteria defined collaboratively. POCs that demonstrate specific capabilities under realistic conditions build confidence more effectively than broad demonstrations.
  • Provide access to existing client references who match the prospect’s profile. Facilitated peer conversations accelerate trust development.
  • Share transparent product roadmaps that acknowledge current limitations alongside planned enhancements. Honesty about product gaps builds trust more than overstating current capabilities.

5. Ensure Explainable AI And Decision Transparency

For AI-driven solutions, explainability is not optional. In the E.U., the AI Act already establishes requirements for explainability mechanisms that make decision criteria transparent, with implementation phases beginning in September 2026.

  • Document how AI models make decisions, what data they use, and how accuracy is validated. Provide transparency about training data principles, model limitations, and ongoing performance monitoring.
  • Build dedicated trust centers that consolidate information about AI systems, security practices, and compliance adherence. Make these resources accessible to all stakeholders without requiring sales engagement.

Organizations leading in the AI buying era recognize that trust is increasingly a transparent product feature, not just a sales promise.

Fast-Tracking Trust Across The Buying Journey

Embedding trust across your GTM strategy requires deliberate architectural decisions at each stage of the buying journey.

Dark Funnel Phase: Build Recognition

70% of the B2B buying journey happens in the dark funnel, long before brands are ever contacted or sales conversations begin. Deals are won or lost before providers know they even exist.

Visibility in hidden channels establishes initial awareness and shapes early perceptions. Below are ways to build recognition:

  • Deploy thought leadership content that educates buyers about category dynamics, evaluation criteria, and implementation considerations. Content that helps buyers think more clearly about their challenges builds credibility and recall.
  • Participate actively in industry communities, forums, and review sites where buyers conduct research. Third-party validation carries more weight than owned content.
  • Invest in SEO, GEO/AEO (Generative/Answer Engine Optimization), and content discoverability so buyers encounter your perspective during organic and AI-led research. Being present when buyers search for solutions to their challenges creates initial touchpoints.

Awareness Stage: Confirm Rather Than Convince

When buyers initiate contact at the awareness stage, they have typically completed the dark funnel phase of their research independently and are now seeking confirmation for their initial assumptions.

The goal at this stage is to reinforce, not sell. Buyers are looking for validation that their research aligns with reality and that your solution fits the conclusions they’ve already drawn.

  • Replace calls to action focused on convincing with approaches focused on confirming (e.g., “validate,” “confirm fit” over “schedule a demo,” “contact us”).
  • Provide additional detail, clarify specific questions, and connect buyers with descriptive resources (e.g., guides, roadmaps, FAQs) rather than launching into standard pitches.

Listen more than present. Understanding where buyers are in their thinking allows for targeted responses that address genuine questions rather than generic positioning.

Consideration Stage: Enable Comparative Evaluation

During consideration, buyers evaluate multiple vendors systematically. They need resources that facilitate comparison across options.

  • Provide objective comparison frameworks that help buyers assess alternatives across relevant criteria.
  • Acknowledge category tradeoffs honestly. Buyers appreciate transparency about where different solutions excel and where they face limitations.
  • Facilitate technical validation through POCs, technical deep dives, and architecture reviews.
  • Remove friction from the evaluation process rather than adding sales-imposed hurdles.

Decision Stage: Accelerate Consensus

At the decision stage, buyers must achieve internal consensus across diverse stakeholders. This is where deals most often stall.

  • Equip champions with resources they can use to build internal agreement. Provide stakeholder-specific materials, objection-handling frameworks, and implementation guides.
  • Offer to facilitate stakeholder conversations when helpful. Executive briefings, technical workshops, and finance discussions that address specific concerns accelerate decisions.
  • Address product risks proactively. Deployment risk and concerns about ROI and performance often stall decisions more than functional gaps.

Revenue And Beyond: Demonstrate Continuous Value

Trust does not end at contract signature. 80% of buyers are dissatisfied with the provider they choose at the end of the purchase process. Post-sale, client success-led experience determines renewal, expansion, and referenceability.

  • Establish clear success metrics collaboratively during onboarding. Define what success looks like and track progress against those metrics systematically (e.g., product usage rate, NPS score).
  • Provide proactive communication about product enhancements, industry developments, and optimization opportunities. Demonstrate ongoing investment in client success.
  • Create opportunities for clients to share experiences with prospects. Peer advocacy is the most powerful trust accelerator.

Key Takeaways

  • The risk-averse buyer did not disappear, but their trust has been eroded in an environment saturated with unsubstantiated or exaggerated claims.
  • Build instant credibility to power your growth engine. Vendors that establish trust systemically earn earlier engagement, faster sales cycles, and stronger margins.
  • Demonstrate competence through transparent frameworks, validate claims through peer proof, and maintain trust through continuous value delivery.
  • Brand recall, demonstrated proof, and organizational maturity have become the new sales pitch. Enablement outweighs lead generation when buyers control most of their journey before vendor contact.
  • Create repeatable trust frameworks that scale with speed and scrutiny. Make trust a GTM feature embedded across every buyer touchpoint, not a post-sale promise delivered inconsistently.

More Resources:


Featured Image: eamesBot/Shutterstock

Negativity Bias: Why Customers Don’t Want Anything To Do With You (And What To Do About It) via @sejournal, @SequinsNsearch

Picture this: You’re sitting on a train to see a friend of yours you haven’t seen in a long time, sipping your favorite coffee order, and looking at a beautiful landscape outside the window. Everything is going great. Right up until someone sits right next to you, chatting loudly on the phone and ruining that peaceful journey of yours. Even though the train gets to its destination on time and without a hiccup, do you think you are most likely to mention the coffee, the landscape, and the quiet of the first part of the journey, or that annoying seatmate, when you friend asks how the journey’s been?

If you chose the latter, it’s not because you are a particularly pessimistic person. It’s all very normal, part of a common phenomenon known as negativity bias.

What Is The Negativity Bias?

The negativity bias is defined as an overattention to the negative aspects of an experience as compared to positive ones that carry the same emotional load. It affects the way we process and remember information, but also the way we interpret the world around us and make decisions. In short, it makes us value and remember the “bad” much more than the “good.”

The origins of the negativity bias are still under debate, and different theories have been raised, but one thing seems clear: It’s so ingrained in our biological profile that it even shows up as a functional asymmetry in our brain. That means that certain regions involved in emotional processing (like the amygdala and the pregenual anterior cingulate cortex) tend to process negative stimuli faster, or respond to them in a stronger way, showing that a greater weight is assigned to averse stimuli and situations as compared to neutral and positive ones. This has been corroborated by electroencephalography (EEG) studies isolating larger late positive potential amplitudes, which are a measure of stimulus significance, for negative rather than positive stimuli.

These neurobiological markers translate in a negative overattention that can be seen at the behavioral level from a very early age, which tends to rule out the possibility of the bias as a learned behavior. According to evolutionary theories, the bias might be tied to an early and adaptive response to threat, which hardwired us to be wary of negative or ambiguous stimuli in order to safeguard our species’ survival.

The Negativity Bias In Marketing

Given the power of negativity in shaping the perception of the world and, most importantly, our impressions and judgements, it is only natural that our industry has learned to leverage this bias as a way to get more content traction online. Think about those TikTok videos that start with a deceptive hook along the lines of “Why I’ll never buy [brand]” to then list only positive aspects of the experience. Or the way clickbait headlines still work, despite the fact we know exactly what the media are doing.

Several marketing studies have shown that CTRs are higher across different channels (including SEO) when we use negative superlatives as compared to neutral or positive ones, something that has been confirmed in a large Nature study on the consumption of negative news.

So, it is a known fact that, from the first touchpoints until the very last, negativity is a way to capture and retain the most precious commodity of today’s age, attention. However, what a lot of brands fail to acknowledge is that it can be a double-edged sword as well.

Because if it is true that our curiosity is piqued when we see something negative, it is also true that we are very quick at abandoning the journey when we realize we’ve been tricked into a click that wasn’t worth our time. And once people drop a journey, they are not likely to give it a second chance, particularly if they’re not already invested in the brand.

This doesn’t only have to do when brands are not delivering on their early promises (such a discount claimed on a title that ends up only being available under certain caveats, or an outdated pricing), but also includes the later stages of the experience, too.

An annual study by Baymard analyzing reasons for cart abandonment (when users have already put energy and time into evaluating offers and deciding to convert) found that a large portion of these blockers have to do with UX issues such as no guest check-out, insufficient information, and too long processes, rather than a misalignment of expectations:

A study on check-out abandonment by Baymard, 2025
Screenshot by author, November 2025

And most times, these “bad portions” of the journey are the ones that tend to be remembered, rather than all the positives that users have encountered before the blockers. One bad experience can taint a website’s reputation in the prospects’ eyes, and represent a threat to the brand as a whole (see, for example, what happened with Coca-Cola and its AI ad recently).

How Can Brands Avoid Losing Customers To The Negativity Bias?

Even when a decision is made on the basis of rational arguments, it’s often the way someone feels about a product or brand that seals the deal. That’s the reason why you want to account for negative experiences (and how to fix them) in your customer acquisition and retention strategy.

Here are my top three tips to put in the agenda for a negativity-free 2026:

1. Removing Ambiguity

First of all, brands need to commit to transparency. The balance between negative and positive is skewed unfavorably when there is insufficient information.

Anytime someone needs to validate a brand’s legitimacy online, or the reliability of their processes and services, it’s an indicator of something that needs to be made clearer or more prominent earlier on in the journey. Isolating brand queries from internal analytics or social listening tools is a good starting point to really figure out what might be the ambiguity that becomes a blocker in the path from awareness to transaction.

2. Minimizing Unnecessary Frustrations

We have seen how the journey can be cut short even when the user is very motivated to complete an action, and how this can be tied to very specific negative experiences that outweigh all the positive aspects of an online journey. Sometimes, the mishaps we come across a website can be the equivalent of that annoying seat mate in our journey from intention to action. It can even drive us to change carriage.

So, in order to prevent dropouts, we don’t only need to fix the reported issues – we need to proactively remove the barriers our users have yet to encounter: cognitive load that produces decision paralysis, distractors that affect purchase intention, intrusive pop-ups that block a natural navigation, and much more.

Ultimately, your job has to help make the journey as smooth as possible and provide the path of least resistance to the action your users want to take.

If you’re looking for ways to get started on this, you can start by isolating behavioral data and potential friction points via surveys, CX logs, heatmapping tools, and ngram analysis from platforms that collect first-hand experiences belonging to both the awareness and the post-purchase stages.

3. Turning Flaws Into Ways To Connect With Customers

You know what’s a perfect example of this? 404 pages.

No one cares about them, especially when they’re a fraction of the millions of URLs a user can land on, but for some, they will be their first impression of a business. This is a particularly likely scenario when we know that AI assistants make up URLs and send users to broken pages more often than it would occur with a traditional search engine.

While we know that first impressions tend to last, particularly if they’re negative, the very last stages are equally important and should be given just as much attention.

If a user lands on a 404 page after evaluating all the offers that are relevant to them, that one annoyance has the potential to be pervasive of the entire experience, affecting the perception of the brand or service as a whole.

But here’s the thing: If you take that opportunity to turn that one frustration into a chance for connecting with your user, you might still come out on the winning end of that interaction. Negative is memorable because it makes us feel a certain way  – so we need to find ways to produce another emotion that can compete with it.

You can do so by acknowledging users’ frustration in a way that makes them smile, and providing them with an alternative path to reach the same goal, like on this page by Tripadvisor:

Tripadvisor 404 page
Screenshot of Tripadvisor, November 2025

Or switching it up completely, and turning the experience into a positive one by leveraging surprise, delight, excitement.

Chrome Dino Game
Chrome Dino Game. Source: Shutterstock (Image from author, November 2025)

It might seem almost too simple, but we need to remember that humans are much less complicated than we make them out to be. Deep down, most people just want to be understood and have reason to trust whoever they are placing their bets and time on – face to face, but mostly online.

Don’t make things harder for them, make them feel good, and most of all, do not trick them, as it will most likely backfire.

More Resources:


Featured Image: Vitalii Vodolazskyi/Shutterstock

The 2026 AI Search Benchmark Every SEO Leader Needs [Webinar] via @sejournal, @lorenbaker

See Where Your Brand Stands in the New Search Frontier

AI search has become the new gateway to visibility. As Google’s AI Overviews and Answer Engine Optimization (AEO) reshape discovery, the question is no longer if your brand should adapt, but how fast.

Join Pat Reinhart, VP of Services and Thought Leadership at Conductor, and Shannon Vize, Sr. Content Marketing Manager at Conductor, for an exclusive first look at the 2026 AEO and GEO Benchmarks Report, the industry’s most comprehensive study of AI search performance across 10 key industries.

What You’ll Learn

  • The exclusive 2026 benchmarks for AI referral traffic, AIO visibility, and AEO/GEO performance across industries
  • How to identify where your brand stands against AI market share leaders
  • How AI search and AIO are transforming visibility and referral traffic

Why Attend?

This is your opportunity to see what top-performing brands are doing differently and how to measure your own visibility, referral traffic, and share of voice in AI search. You’ll gain data-backed insights to update your SEO and AEO strategy for 2026 and beyond.

📌 Register now to secure your seat and benchmark your brand’s performance in the new era of AI search.

🛑 Can’t make it live? Register anyway and we’ll send you the full recording after the event.

How Founders Are Turning Their LinkedIn Posts Into Larger Sales Deals [Webinar] via @sejournal, @itsduhnise

Build Influence, Drive Revenue, and Grow Faster

Your voice is your most underused business asset. 

Founders who post at least 10 times a year on LinkedIn: 

  • Generate 33% more leads.
  • Close deals that are 3.7x larger. 

The data speaks for itself.

In this live webinar, a rockstar team from LinkedIn will share new insights and proven strategies from their latest research on founder-led marketing. You’ll see how the most successful founders are transforming expertise into trust, reach, and revenue.

What You’ll Learn

  • The 3 story types that resonate most with buyers and how to capture ideas without adding hours to your week.
  • A proven approach for creating consistent, high-impact posts that don’t lead to burnout.
  • Which metrics actually matter and how to track real influence across your sales cycle.

Why You Should Attend

You’ll hear how brands like Aligned generated 65% of their leads through founder-led marketing, how Hootsuite’s CEO influenced $15M in pipeline, and how Wynter drove 80% of demo signups through this strategy.

Whether you’re pre-seed or scaling to Series B, this webinar will help you turn your own perspective into your strongest lead-generation engine.

Register now to learn how to use your voice to grow trust, visibility, and deal size.

🛑 Can’t make it live? Register anyway, and we’ll send you the on-demand recording.