Your Q4 Budget Is Built On 2024 Search Data – 3 New Reports That Should Reshape It via @sejournal, @gregjarboe

A year ago, I argued that CMOs were facing a perfect storm of challenges and needed an economist on staff, real market research, and a “Search Everywhere Optimization” mindset to get ahead of it. Judging by how many Q4 plans are still being built without any of that, it appears most CMOs didn’t take the advice, which means the digital marketing leaders, SEO experts, content strategists, and entrepreneurs who are doing this planning now are still doing it the hard way.

Three pieces of data landed within days of each other this month, and none of them were written with the other two in mind. Put together, they sketch a more useful picture for Q4 2026 planning and 2027 budgeting than any one of them does alone.

The first is the University of Michigan’s preliminary Consumer Sentiment Index for June 2026, which ticked up 9% on the back of falling gas prices but remains 19% below a year ago. The second is Anthropic’s new Public Record survey, released the same day, which is the first wave of an ongoing series tracking how Americans feel about AI, based on nearly 52,000 respondents fielded in November and December 2025. The third is SparkToro’s new clickstream data showing that 68% of U.S. Google searches now end without a click, and only 23% of all searches send a visitor to the open web, down from roughly 37% two years ago.

Each of these is a real story on its own. Together, they’ll significantly improve your odds of successfully navigating the perfect storm.

What Each One Actually Tells You

The Michigan number is the economic backdrop. Consumer sentiment moving up 9% sounds like good news, and directionally it is, but it’s recovering from a record low and remains well below where it stood a year ago, with inflation expectations still elevated. For Q4 budgets, the practical read is that household spending caution isn’t going away just because one month ticked upward. If your Q4 campaigns assume a confident consumer, this is the number that says: not yet, and maybe not by Q4 either.

The Anthropic Public Record data is the audience-attitude layer, and the headline number worth attention is that AI-induced job loss is the most common AI-related fear in every single state, at 64% nationally. That “every single state” detail matters more than the topline. Because the sample is large enough to break out by state, it’s genuinely useful for anyone running local or regional campaigns. You can see whether job-loss anxiety runs higher or lower in your specific market than the national average, and adjust how AI-related messaging is framed accordingly. What this data can’t do is forecast anything. It’s a snapshot from a single survey wave fielded six months ago; attitudes about AI are moving quickly, and Anthropic itself is positioning this as the first of an ongoing series precisely because one wave isn’t a trend line yet.

The 23%-to-the-open-web number is the search-behavior layer, and it’s the one with the most direct budget implications. Two years ago, roughly 37 of every 100 searches sent a visitor somewhere on the open web. Now it’s closer to 23. That’s not a slow drift; it’s a structural reallocation of where attention goes after someone searches, and it’s been happening alongside the AI Overview rollout and now the I/O 2026 search overhaul. If a meaningful share of your 2026 budget was allocated based on where clicks went in 2024, that allocation is now built on a search landscape that’s roughly two years out of date.

Why These 3 Belong In The Same Meeting

The Michigan data says consumers are still cautious with money. The Anthropic data says a majority of them, in every state, are also carrying some anxiety about AI itself, which shapes how they respond to AI-forward messaging once they do arrive. The SparkToro data says fewer of those consumers are landing on your site, even when they’re looking.

None of these three data points predicts Q4. But a Q4 plan that doesn’t account for all three, a cautious consumer, an audience with real AI-related anxiety, and a shrinking share of open-web traffic, is a plan built on 2024’s map of a 2026 landscape.

3 Steps For Planning Season

First, before allocating the 2027 budget across channels, pull your own analytics and compare the share of traffic and conversions coming from organic search now versus two years ago. The 23% figure is a national average; your own number may have moved more or less, and that gap is the actual planning input, not the national figure itself.

Second, if your market has more than a handful of customers in a single state or region, look up that state’s job-loss-fear figure in the Anthropic data and use it as a sense-check on AI-forward messaging in that market specifically, not as a national rule applied everywhere.

Third, build your Q4 spending assumptions around the Michigan trend line, not the single month. One month of improvement after a record low is not the same as a recovery, and campaigns that assume discretionary spending is back may be planning for a consumer who hasn’t arrived yet.

Each of these three sources updates on a different schedule: monthly for Michigan, ongoing for Anthropic’s new series, and periodically for SparkToro’s open web click data. None of them is the whole picture by itself. That’s the point.

More Resources:


Featured Image: N Universe/Shutterstock

Web Push Advertising 2026: Market Trends, Challenges & Opportunities via @sejournal, @rollerads

This post was sponsored by Roller Ads. The opinions expressed in this article are the sponsor’s own.

Why did my Web Push CTR drop after Google’s 2024 update?

Are Web Push subscriber lists still worth building in 2026?

How do I keep Web Push unsubscribe rates down under the new Android rules?

Web Push notifications have long been one of the most direct and immediate marketing channels in digital advertising. But is this the case in 2026, considering Google’s increasing focus on privacy and user experience?

Well, the short answer is yes: Web Push notifications do work, but they are not the same as they used to be due to stricter platform policies, evolving user expectations, and an overall emphasis on greater content engagement.

Let’s delve into the Web Push ad market to see its key developments and implications, and discuss the opportunities that still exist for those who adapt to this evolving environment.

Push Notification Market Size & Growth Outlook

The global market for Web Push advertising is projected to grow steadily from $3.22 billion in 2026 to $3.61 billion in 2030, representing a 2.88% CAGR (Compound Annual Growth Rate).

While the market is still expanding, its growth is relatively slow and steady, suggesting that Web Push advertising is moving into a mature, stable phase rather than continuing its earlier pattern of rapid, performance-driven growth.

Regional dynamics show similar patterns of steady but tempered growth:

  • Americas: ~US$1.53 billion (2026) → ~US$1.69 billion (2030), CAGR ~2.52%
  • G7 countries: ~US$1.85 billion (2026) → ~US$2.03 billion (2030), CAGR ~2.32%
  • MENA region: ~US$59.08 million (2026) → ~US$64.45 million (2030), CAGR ~2.20%
  • EAEU markets: ~US$29.71 million (2026) → ~US$32.81 million (2030), CAGR ~2.51%

All these figures indicate that the growth becomes more structured, where efficiency and sustainability matter more than ever, more than just scale.

Key Developments Reshaping The Ecosystem (2024–2025)

Let’s walk down memory lane and go through the major updates that have reshaped the Web Push advertising market. The most significant changes came in late 2024 with a few Google updates:

These changes were driven by legitimate concerns around user experience. Over time, push notifications have become associated with intrusive or low-value messaging, particularly from lower-quality sources. Platforms responded by giving users easier control and raising the bar for what gets delivered.

Unsurprisingly, the unsubscribe rate grew; for example, on RollerAds it reached 30–40%. A wave of domain restrictions and bans followed for those unable to meet the new quality thresholds.

This was not a typical seasonal fluctuation. It marked the beginning of a structural adjustment in the Web Push ecosystem: one that continues into 2026.

What This Means For Industry Players

All these changes affect the line of work, but how exactly? Well, it’s all about relevance and real value for users. Here’s a more elaborate answer:

Quality dominates. Success is no longer about reach, but about precision—how well messaging aligns with intent and context. Better targeting and stronger creative approaches now directly translate into higher engagement and long-term profitability.

Compliance becomes an ongoing process. While the absence of a fixed “set-and-forget” framework for compliance may feel like a drawback, following established best practices ensures continued stability and performance. These include transparent consent flows, well-defined frequency caps, and messaging aligned with current policy requirements.

Real permission has become genuinely valuable. With privacy regulations tightening everywhere, a properly opted-in audience is becoming one of the most important assets. Users who subscribed by accident don’t stick for long anymore, but those who do are actually ready to convert.

That’s why Web Push remains one of the few channels with clear user intent—users have explicitly said, “yes, talk to me.” As a result, advertisers focused on long-term value and LTV rather than one-time clicks are in the strongest position to succeed.

Summing Up: The Road Forward

What we are seeing is not a sudden disruption, but a gradual shift in how the channel operates. Short-term performance fluctuations are a natural part of this transition and should not be viewed as a decline. Instead, the market is moving toward higher-quality traffic and, ultimately, better CTRs.

The reason is simple: as the volume of messages decreases, users become less overwhelmed and more responsive to the ads they receive. Over time—typically within about a year—this results in more stable engagement and improved click-through rates.

We are already seeing this trend on the RollerAds platform. Over the past two years, CTR has increased by 1.5–2x, suggesting that user engagement is steadily improving. While these are still our internal observations, broader market trends appear to point in the same direction.

In this evolving environment, those who adapt early are likely to benefit the most from the ongoing changes. With RollerAds as a partner, adjusting to new market conditions and scaling effectively becomes much easier.


Image Credits

Featured Image: Image by Roller Ads. Used with permission.

In-Post Images: Images by Roller Ads. Used with permission.

Why Your AI Ad Strategy Is Only As Good As Your Data via @sejournal, @gregjarboe

Stop trying to out-calculate the machine and start feeding the machine better signals was the theme from Ginny Marvin, Google’s Ads Product Liaison, during a recent episode of the Ads Decoded podcast she hosts. To many, it sounded like a victory lap for automation and seemed to set the industry on fire. To others, it felt like a final surrender of the steering wheel.

We are currently navigating a mass handover of campaign control to automated systems, and the speed of this transition is frequently outpacing our understanding of what we are surrendering. The numbers confirm that this isn’t just a trend; it is the new baseline for performance marketing. More than 1 million advertisers have now adopted Google’s Performance Max globally. On Meta, Advantage+ campaigns now account for 35% of all U.S. retail ad spend. Even TikTok has seen its Smart+ automated solutions jump from a mere 9% to 42% of performance campaigns in a single year.

The platform narrative is seductive. Google recently rolled out new steering and reporting updates for Performance Max, including audience exclusions and budget reporting, to address the long-standing “black box” criticism. According to Meta’s own engineering data, advertisers who adopted Advantage+ creative features saw an average 22% increase in return on ad spend, although results vary significantly based on first-party data quality and campaign maturity. But there is a dangerous gap between these platform claims and real-world performance that every SEO and paid media specialist needs to acknowledge.

A new report from Adtaxi hits the nail on the head: AI does not replace strategy; it magnifies it. If you provide the algorithm with strong data inputs and a clear definition of business value, then you get powerful outcomes. If you provide weak inputs, then you simply produce “accelerated inefficiency.” The machine will spend your budget with incredible speed, but it cannot navigate the strategic complexity that exists outside its training data.

In the era of GEO and entity-based search, the discipline required to feed ad platforms accurate, high-quality signals is the same discipline that builds brand authority in organic and AI-driven search results. When we talk about “the machine,” we are really talking about an interconnected ecosystem of data. If your ad campaigns are optimizing for surface-level metrics rather than true business outcomes, then you are essentially training the platforms to misunderstand your most valuable customers. If your SEO campaigns don’t include the prompt topics that your target audience is using, then read this.

For instance, Google’s latest April 2026 updates for Performance Max allow for first-party audience exclusions. This sounds like a technical setting, but it is actually a strategic pivot. It allows marketers to stop wasting acquisition budget on existing customers and focus on true growth. However, this exclusion is only as good as the CRM data behind it. If your first-party data is messy, your “automated” efficiency is an illusion.

We see this in the attribution gap on platforms like TikTok, where traditional last-click models fail to capture up to 79% of the conversions that automated systems are actually driving. Without a human expert to validate and measure these systems against real-world goals, we are just watching the algorithm spend money in a vacuum.

I contacted Jennifer Flanagan, vice president of Marketing at Adtaxi by email, and she countered that the lack of transparency in these systems creates a genuine risk where systems optimize for platform-defined metrics rather than business health. She correctly identified human experts as the “steadying hand” of strategy that machine learning cannot replicate.

The Lesson For 2026

It’s a clear lesson that you cannot “set and forget” your way to market leadership. The most successful marketers follow a strict rule of resource allocation: Invest the vast majority of your energy into human talent and strategy, and let the remaining fraction go toward the tools themselves. AI is running more of your advertising than you probably realize. The only question that matters now is whether you are running the AI, or if you are simply watching it spend your budget.

More Resources:


Featured Image: Master1305/Shutterstock

How To Measure AI Search: Current KPIs You Need To Know [Webinar] via @sejournal, @hethr_campbell

If your organic traffic is down but your pipeline looks fine, you’re not imagining it. AI-generated answers are intercepting the journey earlier, meaning users are getting what they need from a citation or a recommendation before they ever hit your site. The click never happens. But the influence did.

That’s the measurement problem most marketing teams haven’t solved yet, and the KPIs they’re reporting on weren’t designed to catch it.

Your Brand Can Appear In 1,000 AI Responses & GA4 Shows Nothing

Citations, brand mentions, and AI recommendations don’t pass through your tag manager. They don’t fire an event in GA4 or register a session in your CRM. They happen in the interface of the AI tool, and by the time a user reaches your site, or doesn’t, the influence has already occurred.

Tracking these signals requires monitoring AI outputs directly: which queries surface your brand, in which tools, and with what frequency and context.

That’s a different data collection layer entirely from what most teams have in place.

Learn more in our upcoming SEO webinar.

Ways To Connect AI Signals To Business Outcomes Across Every Channel

Once you’re capturing AI visibility signals, the next problem is connecting them to outcomes.

Last-click and even multi-touch attribution models weren’t designed for journeys where the most influential touchpoint leaves no clickstream trace.

Learn: Incrementality testing, which lets you isolate the lift that AI visibility is actually driving by comparing performance across exposed and unexposed segments.

Learn: Media mix modeling, which takes a broader view, quantifying AI’s contribution alongside paid, organic, and direct channels in a single revenue model.

Used together, they give you a defensible number to bring into a budget conversation.

The Three-Layer Stack That Makes AI Search Defensible in a Budget Review

The stack works in sequence.

At the top, you’re monitoring AI visibility: citation rate, share of voice in AI responses, and brand mention frequency across tools like ChatGPT, Gemini, and Perplexity.

In the middle, incrementality and MMM translate that visibility into estimated conversion impact.

At the bottom, you’re tying those estimates to pipeline and revenue data so the whole chain holds up under scrutiny. The teams getting this right aren’t using one new metric. They’re connecting three existing disciplines, SEO, media measurement, and analytics, around a shared data model.

DAC’s Felicia Delvecchio, VP of Media, Vincent DeLuca, Director of SEO, and Gavin Bowick, Lead Web Analytics are running through exactly how that model is built in a free live session.

What This AI Search & Revenue Webinar Covers

  • How to track AI visibility signals: citations, mentions, and recommendations, across the full funnel
  • Which incrementality and cross-channel models connect AI influence to actual revenue outcomes
  • Which KPIs to retire in 2026 and which metrics reflect real performance across SEO, paid, and AI channels
  • How to build a reporting structure that aligns across SEO, media, and analytics teams, and holds up when you’re presenting to leadership

This one is worth showing up live for.

How Brands Are Increasing AI Visibility By Up To 2,000% [Webinar] via @sejournal, @hethr_campbell

The answer is Reddit, and yes, this 90-day strategy is worth your time.

Most brands treat Reddit as an afterthought.

However, Reddit is where buyers finalize their purchase decisions.

Reddit is where human trust gets built.

Therefore, Reddit serves as a trust signal for how AI search tools determine which brands are worth recommending.

AI Mentions & Cites Brands Based On Trust Signals, Across Channels

When ChatGPT, Perplexity, or Google AIO recommends a brand, it’s drawing on a web of signals that indicate the brand is credible, relevant, and mentioned by real people in real contexts.

Reddit is one of the most authentic of those signals.

Your opportunity: not Reddit instead of other channels, but Reddit as a meaningful addition to the multi-channel trust footprint AI reasons from.

One brand OGS Media worked with saw 2,000% AI visibility growth in 90 days after building a genuine Reddit presence. That’s the strategy Bartosz and Brent are unpacking on May 5.

What You’ll Learn In This AI Search Webinar

  • How Reddit community content contributes to the multi-channel trust signals AI uses to evaluate and surface brands
  • The 5-stage framework behind OGS Media’s 2,000% AI visibility result
  • The 7 most common Reddit mistakes brands make
  • What authentic subreddit engagement looks like when it’s actually working
  • How to find and engage in Reddit conversations that influence both buyers and AI

About the Speakers

Bartosz Goralewicz is the CEO of OGS Media and one of the most experienced Reddit marketing practitioners in SEO. Brent Csutoras is a Reddit Official Advisor and the Owner of Search Engine Journal, with nearly two decades of hands-on Reddit strategy for brands across every major vertical.

What 1,000 Businesses Reveal About Growth in 2026 [Webinar] via @sejournal, @hethr_campbell

Learn The Signals Shaping Marketing, Efficiency, and AI Planning

As 2026 rolls on, many teams find themselves adjusting how they approach overall business and marketing growth. 

What is the most efficient use of this year’s tighter budgets? 

Priorities are shifting across industries. Understanding how peers are responding can help teams make better strategic decisions.

Join Jeff Hirz, EVP of Business Development at OuterBox, as he shares early findings from 2025 Performance Insights From 1,000 Businesses Planning for 2026

Based on survey data from nearly 1,000 businesses, this session highlights where confidence is rising, where caution remains, and how companies are balancing growth, efficiency, and focus.

What You’ll Learn

  • How business like yours will fund marketing, sales, and efficiency initiatives 
  • What AI readiness looks like in practice for businesses like yours
  • Where business confidence is increasing, and what teams are prioritizing

Why Attend?

This webinar provides a practical benchmark for evaluating your 2026 plan against peer data. You will leave with clear context and takeaways to help refine growth, efficiency, and AI strategies for the year ahead.

Register now to see what real business data says about planning for 2026.

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

YouTube CEO Reveals Your Video Marketing Strategy For 2026 via @sejournal, @gregjarboe

Every January, YouTube’s CEO publishes a letter outlining where the platform is headed. In most years, these updates read like a product roadmap. Neal Mohan’s 2026 letter reads more like a strategic manifesto.

“YouTube is the epicenter of culture,” Mohan writes, arguing that creators are now “reinventing entertainment and building the media companies of the future,” while YouTube becomes the infrastructure powering that transformation.

For digital marketers, this matters because YouTube is no longer simply a distribution channel for video ads or brand content. It is simultaneously:

  • A global television network.
  • A creator marketplace.
  • A commerce platform.
  • A discovery engine powered by AI.

Each of these identities has direct implications for how SEOs, content marketers, social media managers, and executives should plan their video strategies in 2026 and beyond.

Mohan organizes YouTube’s priorities around four themes: reinventing entertainment, building the best place for kids and teens, powering the creator economy, and supercharging and safeguarding creativity. When examined through a marketing lens, these themes reveal a clear message: The future of video marketing is integrated, creator-led, commerce-enabled, and increasingly measurable.

Creators Are Now Studios – And Brands Must Think Like Co-Producers

Mohan states bluntly that the era of dismissing YouTube content as “UGC” is over. Many creators now operate like full-scale studios, purchasing production facilities, hiring teams, and developing episodic series that rival traditional television.

This is more than a branding exercise. It represents a structural shift in how entertainment is financed, produced, and distributed.

Historically, brands approached creators as distribution partners. A product placement, a sponsored segment, or a one-off integration was often sufficient. But when creators control their own intellectual property and audience relationships, that transactional model breaks down.

The more effective model is co-production.

In a co-production model, brands are involved from the very beginning in shaping content formats, creative development is approached as a collaborative process, and campaigns are designed to unfold across multiple episodes or even entire seasons rather than as one-off executions.

This approach aligns with my coverage of the rising performance of long-term creator partnerships compared to short-term influencer activations.

From a business standpoint, this also improves efficiency. Instead of briefing dozens of creators on the same campaign, brands can focus on a smaller number of deep partnerships that generate recurring assets usable across organic, paid, and owned channels.

Practical actions:

  • Identify creators whose content themes align with your product category and brand values.
  • Propose multi-video or episodic collaborations rather than single integrations.
  • Negotiate usage rights so creator content can be repurposed in paid media.

Why this helps you work smarter:

One strong partnership can outperform 10 shallow ones.

Shorts At 200 Billion Daily Views Has Redefined Discovery

Mohan revealed that YouTube Shorts now average 200 billion daily views and that YouTube plans to integrate additional formats, such as image posts, directly into the Shorts feed. This confirms what many marketers have already observed: Shorts are now YouTube’s primary discovery surface. But the strategic implication goes deeper.

Shorts are not just a short-form video product. They are evolving into a multi-format social feed that blends elements of TikTok, Instagram Reels, and traditional social posts. For marketers, this means Shorts should be treated as the front end of a larger content system.

A high-performing ecosystem works by guiding audiences through different layers of engagement: short-form content introduces an idea, long-form videos explore it in depth, community posts and livestreams sustain engagement, and paid ads are used strategically to amplify what’s already working.

My guidance on optimizing YouTube Shorts emphasizes hook-driven openings, concise storytelling, and native formatting. Mohan’s roadmap reinforces that these are not “nice to have” best practices; they are essential for visibility.

 Practical actions:

  • Build Shorts in clusters around a single topic.
  • Include subtle prompts directing viewers to long-form content.
  • Repurpose Shorts into vertical ads.

Why this helps you work smarter:

One long-form video can generate dozens of Shorts that extend its lifespan.

YouTube Is The New TV – Plan Accordingly

Mohan cites Nielsen data showing YouTube has been #1 in streaming watchtime in the U.S. for nearly three years. He also highlights YouTube TV innovations like customizable multiview and specialized subscription plans.

This reinforces a critical point: YouTube now dominates living-room viewing. For marketers, this collapses the old distinction between digital video and television.

If YouTube is increasingly functioning like television, production quality starts to matter again, long-form storytelling becomes a more viable format, and episodic content begins to make far more sense as a sustainable strategy.

This does not mean every brand needs a Netflix-style series. But it does mean brands should consider developing signature formats rather than only campaign-based videos.

Examples of this approach include monthly shows hosted by subject-matter experts, structured series focused on product education, and documentary-style content that showcases real customer success stories.

YouTube ads increasingly resemble connected TV buys, making YouTube an essential component of omnichannel planning.

 Practical actions:

  • Develop at least one recurring video series.
  • Test YouTube Select or CTV placements.
  • Optimize thumbnails and titles for large-screen browsing.

Why this helps you work smarter:

A consistent series builds audience equity over time.

YouTube’s Commerce Push Turns Video Into A Direct Revenue Channel

Mohan’s emphasis on YouTube Shopping and frictionless in-app purchases signals a major evolution: YouTube is becoming a transactional platform. Historically, video excelled at awareness and consideration. Conversions often happened elsewhere. That model is changing.

With in-app purchasing, attribution becomes clearer, funnels shorten and return on investment (ROI) improves.

For performance marketers, this means YouTube deserves a seat alongside search and social in lower-funnel planning.

I previously covered YouTube’s shoppable ad formats and best practices for measuring performance-driven video campaigns.

 Practical actions:

  • Integrate product feeds with YouTube.
  • Tag videos with product links.
  • Use retargeting to reach viewers who watched product-related content.

 Why this helps you work smarter:

Video can now drive measurable revenue, not just brand lift.

AI Will Multiply Output – But Strategy Will Separate Winners

Mohan notes that over 1 million channels use YouTube’s AI creation tools daily and that new capabilities will allow creators to generate Shorts using their own likeness and experiment with music and games. At the same time, YouTube is actively combating low-quality “AI slop.”

This dual message is important: AI is welcome, but quality is non-negotiable. For marketers, AI should be treated as an accelerator, not a replacement for thinking.

AI excels at handling many of the executional tasks in content creation, such as drafting scripts, generating multiple variations, translating content into different languages, and automating captions at scale.

Humans, however, continue to lead where deeper judgment and creativity are required, understanding audiences, crafting compelling narratives, and defining a clear, authentic brand voice.

It’s widely reported that AI-generated content without differentiation struggles to perform in search.

 Practical actions:

  • Use AI for ideation and first drafts.
  • Apply human editorial oversight.
  • Maintain clear brand voice guidelines.

 Why this helps you work smarter:

AI reduces production time so you can focus on strategy.

Measurement Is Shifting Toward Business Impact

Mohan’s focus on diversified monetization signals YouTube’s broader emphasis on outcomes. For marketers, this means moving beyond surface-level metrics.

Rather than defaulting to surface-level questions like “How many views did we get?”, it’s more useful to ask whether watch time increased, brand lift improved, and conversions actually rose.

I’ve previously outlined frameworks for measuring video ROI that connect engagement to revenue.

 Practical actions:

  • Track watch time and retention.
  • Use brand lift studies.
  • Attribute conversions where possible.

 Why this helps you work smarter:

You optimize based on results, not vanity metrics.

The Strategic Bottom Line

Neal Mohan’s 2026 roadmap reveals that YouTube is evolving into a unified ecosystem where creators, commerce, AI, and entertainment converge. For digital marketers, the opportunity is not to chase every new feature. It is to design integrated systems that:

  • Use Shorts for discovery.
  • Use long form for depth.
  • Use creators for trust.
  • Use paid media for scale.
  • Use commerce integrations for conversion.

The marketers who succeed in 2026 will not be the ones who produce the most videos. They will be the ones who build the smartest video ecosystems.

More Resources:


Featured Image: hmorena/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

Why Strategic Review Is The Missing Layer In Many SEO Campaigns via @sejournal, @coreydmorris

Whether you call your SEO efforts a strategy, campaign, or channel, many SEO programs start strong but slowly drift. That could be in the form of reports getting routine, dashboards taking over for thinking, and moving into a mode of “doing SEO” versus challenging and building it.

In many cases, there’s an initial audit, roadmap, and then turn to implementation. Those are all good things, and I strongly advocate for the right level of strategy, research, and planning before moving into any level of ongoing work. However, monthly reports or dashboards, and little reflection can lead to stale tactics.

When activity, tactics, and implementation are the biggest part of what is reported on and/or measured, I question if enough strategic thinking and approach exist.

A strategic review and approach included a structured, periodic checkpoint within the process to assess performance. That includes a mixture of team (and resource/partner/vendor) alignment, execution, and continued connection to overall business goals that SEO is mapped out to impact.

Similar to a retrospective or ending a sprint in agile methodology, it is time for a look backwards at what worked, what didn’t, and where we need to go next in the overall SEO investment. This is different than just a set of reports and metrics; it is time for true reflection and recalibration beyond just measurement.

Why Strategy Is Often Missing

There are some common reasons SEO teams and resources skip strategic review and don’t have the layer fully in place. At times, SEO can seem like an ongoing checklist of things to audit, crawl, fix, and optimize. It can also feel like something that is always on or never-ending.

While all of those things are true to some degree, I think with SEO being a longer-term discipline before seeing return on investment (ROI), there’s pressure to show activity as progress before seeing tangible results, and this can be hard to change after habits and patterns form are embedded in the process.

Agency and client relationships can become rooted in deliverables and lose strategic direction over time. Or, a lack of ownership can exist where no one person or entity truly feels accountable for stepping back and considering if the strategy is still right and delivering.

Risks Of Skipping Strategy

When teams lack or drift from strategy, they run the risk of optimizing for the wrong things. Whether that is the topics, content, context, or even chasing the wrong key performance indicators (KPIs). Going for traffic and things that show activity and progress alone, and are disconnected from the bottom line, lead to danger when they can’t convert at some point.

Additionally, silos can exist, and insights can stay within the silos. When SEO is reduced to activities, tactics, and just actions, learnings from content, dev, brand, product development, customer service, leadership, and other functions aren’t shared with SEO, and vice versa.

Plus, in a world where new information, strategies, and opportunities seemingly emerge daily with how SEO works, AI search, and other areas of change, it is easy to get outdated quickly with assumptions about intent, audience behavior, and connections to the bottom line.

Strategy Integrated Ongoing SEO

Establish A Cadence

The ideal timing for how often to revisit strategy or how it integrates into the ongoing SEO effort is different for everyone. Whether it is quarterly, monthly, or on some frequency that matches the speed at which SEO can and will be implemented, along with the speed of the rest of the moving parts in digital marketing, it is important to lock it in. And, adjust where necessary, but do not keep pushing it down the road.

Since SEO is often an indefinitely ongoing investment, I like the use of sprints and agile thinking, and in this case, building into the agile process. Ultimately, the goal is to not drift or move into a void far enough where strategy problems start happening, yet are missed or ignored.

Dig Deep Enough

However and whenever you build in the strategic review part of the process, there are some key questions to ask however formally you format the process.

This starts with strategy alignment. Are our current goals still the right ones to anchor to? Do they map out to business outcomes versus indicators or vanity metrics? Can we get deep enough in measurement of impact and attribution?

From there, execution and focus are important to review. This includes looking at the tactics that had an impact versus those that didn’t. And, to fully understand why.

Now, we can set our sights on the next sprint or period, looking forward. Consider the opportunities ahead, including trends, SERP features, audience behaviors, AI, and anything else that has emerged that needs to be factored into the effort.

Bring People Together

A tale as old as time in SEO having the best plans stalled out by a lack of resources or a strong resource plan. This means we need to make sure we have the right people, whether they are on the team, in another department, freelance, or at a vendor company, booked and lined up to help us implement.

Better yet, if you can have them in the room with you at any part of the strategic review to learn from the insights you’re seeing and help shape the plan, sharing out of their subject matter expertise and perspective, even better. This is your chance to break down silos and get more integration of SEO with other functions.

Be Structured

I have to confess that I love to iterate and try new things with processes. That’s part of what drew me into SEO over 20 years ago. However, I think that there has to be consistency in the approach and process. You don’t want to spend too much time overdoing it in ongoing strategic reviews. At the same time, you don’t want to be too shallow and gloss over it.

I recommend borrowing some agile retrospective agenda formats and structures to look at what to start, stop, continue, and plan what’s next. Borrow from that if you are struggling to come up with a simple enough, yet powerful review criteria and process.

Revise The Plan

It might feel like a given that you’ll take the work you did and integrate it into your plan and efforts. I simply want to wrap up here by stating the obvious that you need to feed insights into the next period’s plan. That could also include adjusting goals, KPIs, and tactical priorities.

The key is to take things from talk and spreadsheets to action. Especially if your efforts have multiple layers, integrations of teams, or client/agency relationships.

Wrapping Up

SEO is a long game, but progress happens in shorter cycles. It can become a routine, a checklist, or a thing to “do” over time. Often, outdated strategies and tactics come from a lack of frequent enough critical strategic review and adjustment.

My goal for you is to not encounter these issues or find out later than you wished that your SEO has been drifting or gotten stale and isn’t delivering (and hasn’t for some time). The most strategic SEO efforts aren’t always the busiest or most activity-filled with quantity, but are focused on quality and have the mechanisms in place and often enough to adapt intentionally.

The best SEO teams and efforts aren’t just executing; they’re evolving.

More Resources:


Featured Image: Master1305/Shutterstock

Measuring Visibility When Rankings Disappear [Webinar] via @sejournal, @hethr_campbell

Learn How to Track What Really Matters in AI Search

Tools like ChatGPT, Perplexity, and Google’s AI Mode no longer deliver ranked results; they deliver answers. So what happens when traditional SEO metrics no longer apply?

Join AJ Ghergich, Global VP of AI and Consulting Services at Botify, and Frank Vitovitch, VP of Solutions Consulting at Botify, for a live webinar that reveals how to measure visibility in the new search era.

What You’ll Learn

Why Attend

This session will help you move beyond outdated ranking metrics and build smarter frameworks for measuring performance in AI search. You’ll walk away with a clear, data-driven approach to visibility that keeps your team ahead of change.

Register now to learn how to track success in AI search with confidence and clarity.

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