Meta Doesn’t Know What Business It’s In & The Traffic Data Shows It via @sejournal, @gregjarboe

On Friday, May 8, 2026, The New York Times published a guest essay by investigative journalist Julia Angwin with a headline that demands attention: “Meta Is Dying.” She highlights that Meta lost daily active users in Q1 2026, falling from 3.58 billion in Q4 2025 to 3.56 billion.

Angwin sees this as the beginning of a long, slow decline, comparing the company’s trajectory to AOL in 2003 and Yahoo in 2015: technically alive, still profitable, but entering what she bluntly calls the “zombie era.”

She may be right. And if she is, Theodore Levitt told us exactly why this would happen, 66 years ago.

The Lesson Meta Never Learned

In 1960, Harvard Business School professor Theodore Levitt published “Marketing Myopia” in the Harvard Business Review. His central argument was that companies fail not because demand disappears, but because they define their business too narrowly. Railroads collapsed because they thought they were in the railroad business rather than the transportation business. Trolley car companies were replaced by automobiles they could have pioneered. “People don’t want a quarter-inch drill,” Levitt wrote. “They want a quarter-inch hole.”

Now look at Meta’s six major pivots over 22 years and ask: What business did Mark Zuckerberg actually think he was in?

In 2021, he declared the answer was “the metaverse business” – a bet whose Reality Labs division has since accumulated roughly $80 billion in operating losses. Users didn’t agree. In 2023, he pivoted to generative AI and has since committed over $100 billion to building models that, as Angwin notes, currently perform worse than the competition. Q1 2026 results show record revenue of $56.3 billion, up 33% year over year, but also $33.44 billion in total costs, a 35% increase, and an AI spending outlook that has rattled investors.

The revenue looks strong. The trajectory looks like a company that keeps pivoting to new product definitions while its core users quietly disengage.

What The Traffic Data Actually Shows

This is where opinion meets evidence, and the Similarweb traffic for March 2026 is instructive.

Google leads the world with 86.9 billion monthly visits. YouTube follows with 29.3 billion. Facebook comes in third at 11.9 billion, and Instagram comes in fourth at 7.1 billion. That gap between Google and Facebook, is the data equivalent of what Levitt was describing. Google defined itself as being in the information access business. Facebook defined itself as being in the social network business. One of those definitions scales indefinitely. The other runs out of room.

The AI category data is even more pointed. ChatGPT records 5.7 billion monthly visits globally, with year-over-year growth of 28.5%. Gemini is growing sharply at 283.8% YoY. Claude.ai jumped 423.7% to 613.7 million visits YoY.

Meta.ai does not appear in the top 100 most-visited websites.

Meta spent $100 billion entering the AI race. It is not winning it.

The Squeeze Play Angwin Describes

When an aging platform’s user base starts to shrink, the immediate response is almost always the same: monetize harder. Angwin documents this clearly. Meta’s Q1 ad impressions increased 19% year over year while average ad prices rose 12%. Revenue per user jumped 27%. The company is cramming more ads onto its platforms and charging advertisers more for each one.

This is the move that maximizes short-term revenue while accelerating long-term decline. More ads mean a worse user experience. A worse experience means slower growth. Slower growth means the ad inventory eventually stops expanding. Levitt described this as the trap companies fall into when they focus on selling their current product harder rather than understanding what customers actually need.

For digital marketers and SEO professionals, this creates a near-term concern. Meta’s Advantage+ advertising suite delivers genuinely strong performance data – a $4.52 return per dollar spent, 22% higher than comparable manual campaigns, according to Meta’s own earnings reports. But those returns depend on a healthy, engaged user base generating meaningful behavioral signals. If the user base contracts and ad load increases simultaneously, signal quality degrades, and performance follows.

The Counterargument Worth Taking Seriously

Angwin’s essay is persuasive, but she is writing opinion, not analysis, and the full Q1 picture is more complicated than “dying” suggests. Year-over-year, Meta’s daily active user base still grew 4%. The quarter-over-quarter decline has a partially verifiable explanation in internet disruptions in Iran and Russia’s WhatsApp ban. Revenue growth of 33% is not the profile of a company in terminal decline.

What it is, is the profile of a company spending at a scale that requires the growth to continue, while its AI investments have not yet produced meaningful new revenue streams. As the Wall Street Journal‘s Asa Fitch observed this week, “the spending growth looks increasingly unsustainable.”

Levitt’s lesson wasn’t that myopic companies always die quickly. AOL and Yahoo lingered for years. The lesson was that once a company loses the plot on what business it’s actually in, recovery becomes structurally difficult. Every dollar spent defending the wrong definition is a dollar not spent understanding the customer.

The question Levitt would ask isn’t whether Meta is dying. It’s whether Meta has ever clearly understood what business it was actually in. Across six pivots in 22 years, the answer appears to be: not consistently.

That uncertainty is now visible in the traffic data. And traffic data doesn’t lie.

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HubSpot Stock Crashed 19% – What It Means For Partner Agencies via @sejournal, @gregjarboe

On Thursday, May 7, 2026, HubSpot CEO Yamini Rangan announced that the company was changing how it charges customers for AI agent features. Instead of charging for compute usage regardless of outcome, HubSpot would switch to outcome-based pricing. Customers would only pay when an AI agent actually resolves a support ticket or delivers a useful sales lead. The company also cut prices for its AI customer service agents and started offering a 28-day free trial.

Wall Street’s reaction was immediate. HubSpot shares closed down 19% on Friday, May 8, at $197.35, having touched $180.50 during the session. The stock has now fallen roughly 40% year-to-date and sits about 70% below its all-time high set in 2021. William Blair downgraded the stock. Cantor Fitzgerald dropped its rating to Neutral.

And yet, Q1 revenue grew 23% to $881 million, beating estimates. Customer count climbed 16% year over year to nearly 300,000. Full-year guidance was raised. The AI customer service agent resolves tickets about 70% of the time. Over 9,000 customers have activated it.

This is the kind of moment that causes people to reach a hasty conclusion. The 3,954 agencies in HubSpot’s Solutions Partner Marketplace, thousands of which specialize in SEO and website design, will be watching this closely and asking whether to double down, hedge, or quietly diversify their platform dependencies.

My advice: Before doing any of that, go watch a film. 

The Counter-Intuitive Case For Quackser Fortune 

Quackser Fortune Has a Cousin in the Bronx is a 1970 film starring Gene Wilder. The title character makes his living collecting horse manure from the streets of Dublin and selling it to gardeners. He is good at his job. He has loyal customers. He works hard and knows his craft. He is also watching his entire livelihood approach extinction. The Irish government is about to replace the horse-drawn delivery wagons that supply his inventory with motor vehicles. The horses disappear. Quackser has nowhere to go.

The film’s lesson is not about Quackser’s skill. His skill is real. The problem is that his skill is completely coupled to a single delivery mechanism that the world is quietly phasing out.

Now read the paragraph buried in Aaron Pressman’s Boston Globe story that most readers will skip past:

“Investors were already worried that HubSpot’s customers might start coding their own business software using AI tools such as Claude Code, cutting into sales. HubSpot Chief Executive Yamini Rangan has noted that customers have too much valuable data stored in her company’s software to abandon its apps.”

That is the entire strategic situation in two sentences. And the question it raises for HubSpot’s partner agencies is not whether the stock will recover. It’s whether their own business model is more Quackser than it looks. 

The Distinction That Matters

An agency that sells HubSpot implementations is not in trouble because the stock dropped 19% in a day. Rangan is right that customers with years of CRM data, pipeline history, and contact records embedded in HubSpot’s platform are not going to rip it out because Claude Code exists. Data gravity is real, and it keeps enterprise software sticky even when alternatives look appealing.

The more interesting risk is subtler. HubSpot’s move to outcome-based pricing signals something about where the AI era is taking software broadly away from seat-based licenses and toward measurable results. An agency that has built its value proposition around configuring HubSpot, building workflows, and training client teams is in a fundamentally different position than it was two years ago. If HubSpot’s own AI agents can now resolve 70% of customer service tickets without human intervention, how much of that configuration and training work still needs to be done by an outside agency?

The question is not “is HubSpot dying?” – Q1 revenue growth of 23% does not suggest a dying company. The question is whether the work that partner agencies do is more like Quackser’s genuine craft, understanding customers and designing systems that serve them, or more like his bucket and shovel, specific tactical execution that was always a means to an end.

The professionals who have separated those two things in their own minds are in a much stronger position than those who haven’t yet asked the question. 

What The Earnings Report Actually Tells Partners

Buried beneath the stock drop are several data points that matter more than the share price for agencies thinking about the next 18 months.

HubSpot’s AI customer agent now has over 8,000 active customers and a 70% resolution rate. The company is expanding its CRM architecture to allow external AI agents to connect via API, meaning the platform is becoming infrastructure for AI-native workflows rather than a destination in itself.

If that trajectory continues, HubSpot’s ecosystem needs a different kind of partner than it did in 2022. Less implementation, more strategy. Less training users on menus and workflows, more architecting the data inputs and outcome definitions that determine whether AI agents perform well or drift. That is a pivot that requires asking uncomfortable questions now, while the current business model is still working. Quackser’s tragedy was not that horses disappeared. It was that he waited until he had no leverage left. 

The Practical Takeaway

HubSpot has 299,000 customers and raised its full-year guidance even as its stock fell. That is not a company in collapse. It is a company in genuine transition, and transition creates short-term uncertainty. Short-term uncertainty is exactly when the businesses that think clearly about the distinction between durable expertise and current tactics build long-term advantage.

The durable expertise in this ecosystem: understanding what customers actually need, designing systems around outcomes rather than features, and knowing how to measure whether AI-driven tools are delivering real business value or cheaper noise.

The tactic that may not transfer: billing for hours configuring workflows that the platform’s own agents now handle automatically.

In the end, Quackser finds something new, not without pain, and not before hitting rock bottom. The question is whether he found it in time.

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Google’s AI Announcements Are Events, The New Search User Is The Trend via @sejournal, @gregjarboe

Google’s Keyword Team published their recap of the biggest AI announcements from April 2026. Cloud Next ’26 introduced the Gemini Enterprise Agent Platform and Google’s eighth-generation TPUs, built for agentic workloads. Google also released Gemma 4, described as byte-for-byte the most capable open model available, along with Deep Research Max for advanced autonomous data synthesis and a new coding tutor in Colab.

The infrastructure numbers are real. Models now process more than 16 billion tokens per minute via direct API use, up from 10 billion last quarter, with nearly 75% of Google Cloud customers using AI products. Developers have downloaded Gemma over 500 million times, according to Google’s April 2026 AI update.

The Trend: A New Kind Of Search User Is Emerging

In a recent piece based on a Search Off the Record episode with Google’s Martin Splitt and Nikola Todorovic, Google revealed there’s a new wave of people doing things with Search that is markedly different than in the past, and that this is an upward trend. Splitt noted that AI in search has always been there behind the scenes, assisting in organic results. It’s only recently been moved to the forefront, where it now assists users with increasingly complex multimodal queries.

That distinction matters enormously. These aren’t power users discovering a new feature. They’re mainstream users developing new search behaviors, and those behaviors are compounding. New users are crafting longer conversational queries, and while AI has democratized access to information, it has simultaneously made experience-based insights more valuable – something AI cannot easily replicate.

The supporting data reinforces the scale of this shift. BrightEdge research found that AI Overviews coverage grew 58% in the 12 months through February 2026, with B2B technology queries triggering AI results jumping from 36% to 82% and education queries from 18% to 83%. Those aren’t incremental changes. Those are structural ones.

What Bill Ziff Has To Teach Us

Early in my career, I worked for William B. Ziff Jr., the publisher who built the Ziff-Davis empire into one of the most influential media companies in American technology. He had a saying I’ve never forgotten: “People pay too much attention to events and not enough to trends.”

He built his business on that distinction. While competitors chased the shrinking audience of general-interest magazines, Bill Ziff identified a massive, structural shift toward specialized technical knowledge and built PC Magazine and a dozen other titles that shaped how an entire generation learned about computing. He wasn’t reacting to news. He was tracking where the audience was going.

That framing is exactly what SEO professionals, content marketers, and entrepreneurs need right now.

The Google Keyword blog serves a purpose. It keeps practitioners informed, signals where engineering resources are flowing, and occasionally contains genuinely useful tactical information. Read it. But don’t confuse it with strategy.

The Gemini Enterprise Agent Platform is an event. Developers downloading Gemma 500 million times is an event. A new generation of searchers learning to treat Search as a conversational research tool – and expecting answers instead of links – is a trend.

Bill Ziff’s contrarian insight was that while events are dramatic, trends dictate where money, audience, and influence actually go over time. The structural shift happening in search right now is behavioral, not infrastructural. Google can ship eighth-generation TPUs and a million-token context window, but what matters for content strategy is that users are transitioning to researching topics, where a link to a website does not provide the clear answers, they are gradually becoming conditioned to ask for.

What This Means For Your Strategy

If a new wave of users is discovering that search can handle complex questions, and that discovery is an upward trend, three things follow for practitioners.

First, content that serves those users well – direct, experience-grounded, specific, structured for machine comprehension – will matter more than content optimized purely for traditional ranking signals. AI is making basic informational content commoditized. What it cannot replicate is perspective earned through actual experience.

Second, the audience itself is changing. Users who ask complex conversational queries behave differently from users who type three keywords. They have higher expectations, longer sessions, and different conversion patterns. Understanding that shift through your own analytics is more valuable than reading about it in a product recap.

Third, the metrics that matter are shifting. Citation frequency in AI-generated answers is becoming as strategically important as keyword rankings were in 2015. That’s not speculation – it’s a measurable, trackable signal.

Google’s April announcements tell you what the infrastructure looks like. The new wave of AI users tells you where the audience is going. Follow the audience.

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How We Use AI To Run A 90-Day Growth Audit

Most growth audits are a performance. Someone shows up with a slide deck, interviews a few stakeholders, and delivers a 40-page PDF that lives in a drawer. The team feels busy for three weeks, and nothing changes. I’ve been on both sides of that transaction, and I got tired of it.

At my growth consultancy, we run 90-day growth sprints for venture-backed and private equity (PE)-backed companies. The audit is the first phase. It used to take two to three weeks of manual work just to get a clear picture of what was happening inside a company’s marketing organization. Now, with AI woven into every step, we compress that discovery into days and spend the remaining time actually fixing things.

Here’s exactly how we do it.

Why Traditional Growth Audits Fail

The classic consulting audit has a structural problem. The people conducting it are incentivized to find complexity because complexity justifies a bigger engagement. So the deliverable becomes a laundry list of everything that could be improved, ranked by nothing in particular, with no connection to what the business actually needs in the next quarter.

I ran marketing at companies ranging from Fortune 200 to early-stage startups before starting my own firm. At one company, a 30-minute meeting with the CEO required two or three pre-meetings just to polish the deck. The decision was made in minutes. The deck went into a drawer. All those hours, gone.

That experience shaped how I think about audits. The output has to be a working document that becomes the blueprint for what happens next. Not a souvenir.

The AI-Assisted Audit Framework

Our audit covers three areas: the marketing org itself, the tech stack, and what I call AI readiness. That last one didn’t exist two years ago. Now it’s arguably the most important piece, because it determines how much of the roadmap a company can actually execute without hiring five more people.

Each area follows a specific process, and AI shows up differently in each one.

Phase 1: Intake And Context Building

Before we talk to anyone on the client’s team, we feed everything we can get our hands on into Claude. Investor decks. Board presentations. The company’s public marketing. Competitor creative. Job postings from the last six months. Glassdoor reviews. Product screenshots. Pricing pages.

Two years ago, synthesizing all of that required a senior strategist spending a full week reading, annotating, and building a briefing document. Now, we build a comprehensive context package in a day. Claude processes the raw material and produces a structured brief that includes the company’s positioning gaps, messaging inconsistencies across channels, competitive white space, and the questions we should be asking in stakeholder interviews.

The output isn’t a summary. It’s a diagnostic framework tailored to that specific company. We review it, challenge it, add our own operator instincts, and walk into discovery calls with a point of view instead of a blank notepad. That changes the conversation immediately. Clients notice when you’ve done the homework.

Phase 2: Tech Stack And Workflow Mapping

This is where things get specific. We pull a full inventory of all of the tools the marketing team uses. Customer relationship management (CRM). Email platform. Analytics. Attribution. Ad platforms. Content management. Design tools. Project management. The average mid-stage startup has between 15 and 30 marketing tools, and in almost every audit, at least a third of them overlap or go mostly unused.

We document every workflow: how a campaign goes from idea to live, how leads get routed, how reporting happens, who touches what, and when. Then we map each workflow against what’s now possible with AI-native alternatives.

A real example: One client had three people spending a combined 40 hours per week on creative production for paid social. Briefing a designer. Waiting for rounds of revisions. Resizing for different placements. Exporting. Uploading. We replaced that workflow with a combination of AI creative tools and a custom automation that handled asset generation, versioning, and platform-specific formatting. The same volume of creative now takes roughly eight hours of human time per week, and most of that is strategic review rather than production.

Tools like HeyGen and ElevenLabs handle video and audio production that used to require a studio. Custom AI agents built on open-source AI harnesses like OpenClaw and Hermes automate research, competitive monitoring, and content drafts. The point isn’t to name-drop software. It’s that the landscape of what can be automated has expanded dramatically in the last 18 months, and most marketing teams haven’t caught up.

Phase 3: AI Readiness Assessment

This phase is the one that surprises clients the most, because it’s less about technology and more about people.

We evaluate three things. First, does the team have the curiosity and willingness to adopt AI tools? Some teams are eager. Some are terrified. Knowing where people stand before you start pushing new workflows prevents the kind of resistance that kills transformation projects. I spoke about AI readiness to a group of senior marketers at a hyper-growth consumer app, and the first question asked was: “Isn’t the magic in our human work and interactions?” They were afraid.

Second, does the company’s data infrastructure actually support AI-driven optimization? If your CRM is a mess, your attribution is broken, and your analytics are built on vanity metrics, no AI tool is going to save you. Garbage in, garbage out still applies. We flag the data hygiene issues that need to be fixed before any AI implementation will produce reliable results. And the audit acknowledges the data gaps and how (and why) to fix them.

Third, where are the highest-leverage automation opportunities? Not everything should be automated. Creative strategy still requires human judgment. Brand decisions still need a human with taste and context. The audit identifies which workflows will benefit most from AI and which ones need a human firmly in the loop. AI readiness is not about replacing all humans with AI tools and agents.

What The Deliverable Actually Looks Like

We don’t hand over a deck. We produce a shared document with four sections: current state diagnosis, prioritized opportunity map, 90-day implementation roadmap, and a tool-by-tool recommendation list with estimated time and cost savings.

The roadmap breaks the 90 days into three phases. The first month focuses on quick wins, the workflows where AI can be plugged in with minimal disruption and immediate impact. Month two tackles the structural changes, things like rebuilding attribution models or redesigning the content production pipeline. Month three is about training and handoffs, ensuring the team can run the new systems independently.

The document is collaborative. Clients can comment, push back, and reprioritize. It becomes the working blueprint for the engagement, not a PDF that gets emailed and forgotten.

Where The Real Savings Show Up

The savings are rarely where people expect them. Most founders assume AI will cut their ad spend or reduce their agency fees. Sometimes it does. But the bigger wins tend to be in time recaptured.

A marketing team that was spending 60% of its week on production and reporting and 40% on strategy gets those numbers flipped. Humans focus on the work that actually requires taste, judgment, and relationship-building. The AI handles the repetitive execution that was eating their calendars.

One engagement reduced a client’s creative production cycle from three weeks to four days. Another automated their weekly reporting entirely, freeing up a senior analyst to focus on actual analysis instead of pulling numbers into slides. A third rebuilt their email lifecycle from scratch using AI-generated segmentation and content, which cut their cost per acquisition by 30% in the first 60 days.

None of those outcomes required firing anyone. They required moving people from low-leverage tasks to high-leverage tasks. That’s the part of the AI conversation that gets lost in the layoff headlines.

What I’d Tell Any Marketing Leader Reading This

You don’t need to hire a firm to start. Pick one workflow on your team that is repetitive, time-consuming, and doesn’t require deep creative judgment. Map it out step by step. Then ask whether an AI tool could handle any of those steps today.

Begin by tackling reporting. Next, focus on competitive research. Consider first-draft content production as an early win. Finally, initiate the process wherever the pain is loudest and the risk is lowest. Get a win. Show the team what’s possible. Then expand.

The companies that will struggle are the ones waiting for someone to hand them a playbook. The companies that will win are the ones running their own experiments right now, even clumsy ones, and learning what works inside their specific context.

The audit is just a structured way to do what every marketing team should already be doing: looking honestly at how time gets spent and asking whether there’s a better way. AI just made “better” a lot more accessible than it was 18 months ago.

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AI Just Handed PR Its Best Opportunity In SEO & Most Teams Are Missing It via @sejournal, @gregjarboe

A recent Linkedin post by Jim Yu flagged that BrightEdge’s AI Catalyst team analyzed citation and brand mention patterns  from prompts across Finance, Healthcare, Education, and B2B Tech in five AI search engines: ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews. The finding that mattered most was buried in the data. Despite wildly different source preferences, every engine tends to surface the same brands. Source overlap across engine pairs runs from 16% to 59%. Brand overlap lands in a much tighter band, 35% to 55%. The engines wander far on what they cite. They hold fast to who they recommend.

“Review sites, comparison content, trade press, retailer listings, and finance data are the sources AI most frequently reaches for. Investment in PR, trade coverage, review site visibility, and category comparison content translates into visibility across every engine, not just one.”

I sent that takeaway to Katie Delahaye Paine, as I have watched her track the collision points between data and communications longer than most people in this industry have been alive. She sent back a link to a press release that looks like a Yahoo Finance story with one question: “What do you think of this?”

In the link, Zen Media argued that AI tools are giving PR teams measurable citation data for the first time – a genuine breakthrough for a profession that has historically struggled to tie its work to business outcomes. I told her I thought PR had a new opportunity, if there were communications professionals brave enough to seize it. Unfortunately, too many are so service-oriented that they have become servile.

She responded, “Sad, but true.”

The Opportunity Is Real

The data backing this shift is not subtle. According to new Stacker research, earned media distribution can increase AI citations by a median lift of 239%. Brands with review profiles on platforms like Trustpilot, G2, and Capterra are three times more likely to be cited by ChatGPT than brands without them.

Lily Ray, while vice president of SEO Strategy & Research at Amsive, found that digital PR and YouTube optimization have become essential tactics for AI discovery. Amsive’s research showed ChatGPT most frequently cites Wikipedia, Perplexity leans on Reddit and YouTube, and Microsoft Copilot gravitates toward Forbes and Gartner. The implication is that being discussed in credible third-party sources, exactly what good PR has always produced, now feeds directly into the sources AI trusts most.

Research from Muck Rack’s Generative Pulse platform found that earned media still accounts for 25% of all AI citations. Press coverage, authoritative reviews, third-party writeups. The raw material of traditional PR. Being mentioned in a Wirecutter roundup or a TechCrunch feature, their team noted, does more for AI visibility than almost anything a brand publishes on its own site.

PR Has The Raw Material. It Lacks The Ambition

Here is the maddening part. Everything that matters for AI citation, third-party credibility, trade press coverage, review site presence, expert mentions,  is work that PR professionals are already positioned to do. They understand how to cultivate relationships with the publications and journalists that AI engines trust. They know how to place stories in the outlets that show up as authoritative sources. What they have lacked, historically, is a measurable link between that activity and business outcomes.

That link now exists. AI engines create a citation trail. Brand visibility in AI responses can be tracked, measured, and attributed. Katie has spent her career making the case that PR’s contribution to business value must be expressed in persuasion, trust, and credibility, which are all imminently measurable, she has argued for decades, if the profession would simply demand better tools. The tools now exist. The measurement imperative is sharper than ever.

So, why isn’t the initiative to combine SEO and PR coming from PR? Because far too many practitioners remain reactive. They wait to be briefed, execute campaigns, report outputs, and repeat. The organizations most likely to move first on this are the ones where someone outside the PR function, such as an SEO professional who understands earned media, a digital marketer watching their traffic erode from AI Overviews, a content strategist, or an entrepreneur tracking every conversion, recognizes that the citation graph and the PR strategy map are now the same document.

What A Unified Strategy Actually Looks Like

BrightEdge made the point clearly: Build for three source layers, not five LLM playbooks. Every AI engine draws from authoritative sources, commercial and editorial content, and user-generated content. They weigh the mix differently, Perplexity and Gemini lean toward authority, Google AI Overviews lean toward UGC, ChatGPT and AI Mode lean toward commercial content, but all three layers matter in every engine.

That means the practical work is, earn placement in trade press and analyst reports that are relevant to your category. Generate real customer reviews at scale. Produce comparison and category content that review aggregators and editorial sources want to reference. Get on the podcasts and YouTube channels that AI engines are already pulling from. None of this requires a new discipline. It requires PR and SEO professionals to stop treating their work as separate and start treating the citation graph as shared territory.

The brands that establish citation authority now are building something that compounds. Entity authority is slow to build and slow to decay. Early movers in AI visibility are capturing ground that late movers will find increasingly expensive to reclaim.

AI has handed PR the measurement framework it never had and the strategic mandate it always deserved. The question is whether the profession will recognize the moment, or wait for someone else in the organization to seize it first.

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How To Run A Webinar Program That Actually Drives ROI

A good webinar program does three things at once: It teaches the audience what they want to learn. It produces an asset that keeps generating leads. And it captures behavioral data you can act on to generate revenue.

A weak program does only the first one. The teaching is good, and the chat fills up, but qualified attendees never become paying customers.

The difference between a successful webinar and a failure is in the work that happens before and after the live presentation. That’s where this playbook focuses.

The most consequential decision happens weeks before the live event, when you choose what the webinar is about.

Pick Topics That Match Business Goals

The most consequential choice in a webinar program is the topic, and the fastest way to get it wrong is to pick something that sounds interesting in a marketing meeting. The right starting point is the business goal: net-new pipeline, product education, account warming, or thought leadership.

There are several sources of information that can help you hone in on the needs of your audience:

  • Sales calls and CRM notes surface your customers’ objections, concerns, and pre-close questions.
  • Google Analytics shows which pages and topics on your website are most likely to convert.
  • AI analysis of call transcripts or customer interviews can reveal recurring pain points in your buyers’ own words.

Use whichever combination fits your goals and setup best. The point is to ground the topic in evidence of what your audience wants to know, rather than making assumptions. Search Engine Journal’s Heather Campbell and Jennifer McDonald walk through the full discovery framework in their recap of how to turn webinars into your best lead gen channel in 5 phases.

Choosing the title of the webinar follows the same logic. Create a title that focuses on the outcome your audience desires. Outcome titles pre-qualify the room. People without that problem and desired outcome self-select out, which improves attendance quality and conversion.

Run two quick tests on every title before publishing the landing page. The first: Can someone outside your team read the title and tell you what they’ll learn? If they hesitate, rewrite. The second: Would your audience trade an hour of work time to fix the problem this title names? If the answer is no, sharpen the topic.

A sharp topic and title only land, though, when the right person delivers them.

Pick The Speaker To Meet Your Goal

Speaker selection comes down to two questions: Who has expertise in the topic you selected? How much audience does the speaker bring with them?

You need a subject-matter expert with credibility in the topic. Ideally, the speaker already has a following that overlaps with your ideal customer.

The best speakers come with engaged audiences. An operator with 8,000 engaged LinkedIn followers overlapping your ideal customer profile will outperform a C-suite title without that audience.

If the perfect speaker isn’t available, tap a happy customer who has lived both the pain and the win. Another option is to moderate the webinar by interviewing an expert, rather than recruiting one to present on their own.

Once you’ve chosen the right speaker, you need the ability to capture the leads they generate. Choose a platform with features to support interactivity and CRM integration.

Choose A Platform With CRM Integration

The right question to ask of a webinar platform is narrow: Does this tool push clean attendee data into your CRM as scorable events?

Three platform features matter more than the rest:

  • Breakout rooms that let high-intent attendees self-segment into topic-specific sessions.
  • Structured polls that generate answers your sales team can score.
  • Gated handout downloads that flag active research behavior.

Each of these features produces data you can act on. A breakout attendee is a different lead from a passive watcher. Someone who downloads the implementation checklist is closer to purchase than someone who doesn’t.

Most enterprise-focused platforms (Livestorm, Demio, ON24, Zoom Webinars, BigMarker) offer native integrations with HubSpot and Salesforce. Check that the integration writes individual engagement events, not just attendance, before committing.

Of course, a webinar is no fun if you have low attendance. Drum up interest and sign-ups by creating a great landing page.

Build A Landing Page That Shows Up In Search

Your landing page has three jobs: Rank in Google, surface in AI answer engines, and convert visitors. The good news is that the vast majority of current SEO best practices remain fully valid for answer engine visibility.

Build the page around what users are actually searching for, and structure the page to answer those questions directly. That structure pays off.

ChatGPT, Perplexity, and Google’s AI Overviews pull from pages that read as clear, organized answers. A landing page built that way attracts qualified leads actively searching for solutions. This brings in registrations to view the on-demand video after the live event ends.

Pair your landing page with the recap article published shortly after the session. The recap is your durable organic asset, optimized for the same keywords and linked to the gated on-demand recording to drive leads.

The landing page captures organic demand, while active promotion brings the rest.

Promote To A Targeted Audience

Blasting your full email list is the lowest-yield promotion strategy still in wide use. It pads registration counts with people who will never convert, and it teaches your list to ignore your sender name.

Replace a volume play with three targeted layers.

Speaker-led distribution. Your speakers might be your highest-converting channel if they have an engaged audience who wants to hear from them. Have them send a reminder to their audience a week out. One good LinkedIn post from a credible voice beats most paid promotion.

Niche communities. Engage with private Slack groups, industry subreddits, partner newsletters, and targeted LinkedIn communities that offer audiences of people who match your ideal customer.

Segmented email. Hone your email send list by behavior, such as landing page visits, opens on related content, and job titles that match the ICP. Send each segment a version of the invite that speaks to why they specifically should care.

Once they register, keep the sequence simple: confirmation, one-week reminder, day-of.

After the webinar is over, repurpose the content to promote the on-demand replay. Your webinar can produce five to ten short-form clips for LinkedIn and YouTube. Plan on featuring some promotional spin-off material in your newsletter feature. Your most impressive clips can be sent to warm leads.

Run The Live Webinar As A Scoring Event

Teach, don’t sell. That principle holds. The opportunity lies in what you do with the engagement data you collect while teaching. The webinar offers a chance to capture scorable signal on every attendee in the room.

Four signals are worth collecting actively:

  • Breakout opt-ins show evaluation stage.
  • Poll responses reveal specific pain points or needs.
  • Handout downloads flag active research.
  • Q&A questions expose exact phrasing in your buyers’ own words.

All four only matter if the data reaches your CRM. A poll answer stuck in your webinar platform is noise. The same poll answer written to the contact record is sales intelligence.

Prepare for the hour itself. Have pre-written seed questions ready in case the Q&A goes quiet. Keep the call-to-action page open and ready to drop into chat. Rehearse any speaker handoffs or topic transitions to avoid awkward silences.

Focus Digital’s 2026 analysis across more than 10 industries found that 60-minute webinars hit a completion crisis: only 40% of attendees reach the closing CTA, and drop-off accelerates to 8 to 12% per segment after the 45-minute mark. Put your strongest argument and your offer before minute 45.

The signals you capture during your webinar are only valuable if you act on them with a follow-up.

Segment The Follow-Up By Behavior

A simple “thanks for attending” email with a link to the replay loses deals. The solution is to segment follow-up emails and customize them based on engagement signals.

Enthusiastic engagers get the personal touch via direct outreach. Identify these prospects by their behavior during the live. Maybe they joined a breakout, answered a poll with a clear buying signal, or asked a thoughtful question. These people should receive a personal communication within 24 hours, referencing exactly what they did. A rep who begins a call already knowing the prospect’s objection has a completely different conversation from one who has no clue what the buyer is thinking.

Everyone else goes into different nurture sequences matched to their behavior. These contacts may not be as warm. The nurture program keeps you in mind when they’re finally ready to buy.

All of this work needs to add up to numbers you are happy to report to leadership.

Report The Metrics That Tie To Revenue

While it’s tempting to flatter yourself based on a high number of registrations, leadership wants numbers they can tie to your pipeline:

  1. Sourced and influenced revenue: the dollar value of opportunities and closed deals that touched a webinar asset, tracked through UTM and CRM attribution.
  2. Closed deals with webinar influence: the revenue figure that justifies the line item.
  3. Cost per qualified lead: Contrast’s 2026 data puts the average at $72, with a range from $45 to $98. This is a useful benchmark, as long as you’re weighting by lead quality rather than raw volume.
  4. Post-live consumption: on-demand views, repurposed content performance, sales-enablement usage. Contrast’s 2026 survey of 524 B2B SaaS marketers found that 42% of total webinar viewership happens after the live event, so a meaningful share of your audience lives here.

Heather Campbell and Jennifer McDonald run SEJ’s webinar program. They’ve put the system this article draws from through 300+ webinars and 350,000+ leads, and they’re running a hands-on workshop where you’ll build your own webinar program alongside them. Details and registration are open now.

While the hour onstage gets all the attention, there is a lot more work that goes into a webinar that drives return on investment. The topic was selected carefully based on real data. The landing page attracted your ICP. You get to engage directly with your warmest leads because your team took the time to wire the poll responses to the CRM. Programs that get those right turn webinars into the channel that fills the sales pipeline.

SEJ Webinar Cohort - Join us May 14

More Resources:


Featured Image: ImageFlow/Shutterstock

How to Turn Webinars Into Your Best Lead Gen Channel in 5 Phases via @sejournal, @hethr_campbell

A few weeks ago, we sat down with marketers running webinar programs at agencies and in-house teams, all B2B. We asked them what was working, what wasn’t, and where they felt stuck.

Three pain points came up in nearly every conversation:

“Webinars are a heavy lift with little proven ROI.”
“We’re not generating enough qualified leads.”
“Without clear attribution, leadership isn’t seeing the value of webinars.”

If you’ve said any version of those things, you’re not alone, and you’re not the problem. The system around it is.

Topic selection, promotion, follow-up, and measurement are where the pipeline leaks.

And those gaps are what we covered live last week in our 60-minute tell-all webinar. We showed attendees how to make webinars their best performing lead gen channel.

Here’s the system we use to run 50+ webinars a year on a 3-person team.

The 5 Phases Of A Webinar That Converts

  1. Attract The Right ICP: topic, speaker, title.
  2. Make Setup Easy: platform and landing page.
  3. Content That Qualifies: copy, promotion, emails, handouts.
  4. Going Live: generating pipeline signals.
  5. Follow-up & Convert: segment, repurpose, measure.

Here are a few of the bigger takeaways from each phase. Watch on demand for the nuances to help you drive more qualified leads on your next webinar.

It’s worth the watch, as one live attendee pointed out: Great information, I had several takeaways as we did our first webinar on Tuesday. Thanks!

Here’s what she learned.

How To Choose Your Webinar Topic Based On Business Needs, Not Just A Fun Idea

Before any of the tactics matter, get clear on how the webinar can support business objectives. Who is the target audience that best fills that business objective? Then, finally, what does that target audience need before they can convert?

Start by asking yourself:

  • Are you driving net new pipeline to showcase your brand as a thought leader?
  • Building credibility for a new product line, or warming an account list for sales?

We share a few more webinar topic identification questions in the on-demand webinar, so be sure to check that out.

But, as you can begin to see, each goal points to a different topic, a different speaker, a different promo plan, and a different follow-up.

The key is to stop picking topics based on what you want to talk about (and this includes leadership).

5 Tools That Identify High-Conversion Topic Gaps For Webinars

The best marketing strategies are built on data, not just excitement.

  1. Sales Team
  2. CRM (Learn the key events to track.)
  3. Google Analytics 4 (We have a GA4 exploration report for webinar ideation.)
  4. Transcripts (Process and isolate common pain points with AI)
  5. Interviews (AI can isolate common pain points.)

So, your first stop is to go to your sales team, if you have one, and ask one question: “What’s the number one thing prospects are struggling with right now?”

You’ll get your next three webinar topics from that conversation.

If you don’t have a sales team, we share 4 ways to use data to pick your webinar topic during our session.

Now that we have the personalized webinar topic, we can proceed with the rest of the webinar creation process.

Phase 1: Choose A Formulated Title That Specifically Attracts Your Target Audience

The title is your first impression and it is the most impactful for driving the right ICPs, the ones you and sales agreed on.

A great webinar title tells the reader you understand their pain, and what they can expect from giving you their time.

For context, one interviewee let us know that 1 change to their webinar title doubled attendance.

Best Webinar Title Formulas

We also have 2 webinar title tests you can try to make sure your webinar title attracts leads:

Phase 2: How To Make Webinar Setup Easy

The teams that run profitable webinars at scale setup once, and refine as new tests prove successful. Utilize templates as much as you can.

From templating the platform set up, to emails and landing page copy, and duplicating nurture sequences, this is where you can ease your time to market, and the load on the team.

In that setup, look for our recommended webinar platform functionalities:

  • Breakout rooms for high-intent conversations.
  • Polls and Q&A that help qualify leads during the presentation.
  • CRM integration so engagement data flows automatically.
  • 1 way to keep key audiences engaged.
  • 5 ways to extend your reach and gain more potential pipeline.

The most impactful element to template is a conversion-optimized landing page that really speaks to their pain.

Your webinar landing page should do three things: hook them with the title, build trust with the speaker and the outcome / benefit they’re going to get, and make registering feel like the obvious next step. Every element on that page should earn its spot.

See how we’ve optimized our webinar landing pages.

Phase 3: How To Create & Distribute Content That Qualifies

This phase is where content for promotion gets created, which is simultaneously where lead quality gets decided.

Most webinar programs frame promotion as a seat-filling exercise, but the real job is filtering for intent.

The wrong title and channel mix pulls a wide audience with no buying signal. The right ones bring the ICPs your sales team actually wants to talk to.

That comes down to three leverage points:

  • a promo cadence built on relevance instead of frequency,
  • a multi-channel mix that doesn’t lean entirely on email,
  • messaging that mirrors your target audience’s language to attract the right lead in the first place.

Get those right and your webinar program will stop chasing volume and start producing pipeline.

Phase 4: What To Do When Going Live To Warm Your Target Audience

This is what you planned for, and this is where most presenters need coached to teach, not pitch. B2B buyers convert on trust and this is your time to show your expertise and thought leadership.

Your webinar should mirror their pain (based on that research you did earlier) and walk them through actionable takeaways. Sell thru education, focus on their needs, tell them how to do something, and then show why they need your solution.

The live hour isn’t just content delivery. It’s where intent shows up.

Every poll response, every Q&A entry, every breakout room opt-in is behavioral data your sales team can act on, often more reliable than a form-fill or a download.

Done right, the live hour produces a list of high-intent leads sales is already eager to chase.

Phase 5: How To Follow-Up After A Webinar & Convert Attendees

First, consider the 5% Rule.

Reach out to them immediately.

The other 95% aren’t ready to buy. Stop selling to them. Push value, share the takeaways, send a related framework. When they move into market, you’re the brand they already trust.

If you treat both groups the same, you lose both.

How To Measure What Leadership Cares About

If your CMO thinks webinars are a “nice to have,” it’s almost never a webinar problem. It’s a measurement problem.

Stop reporting on registrations, attendance rates, and recording views. Start reporting on breakout room opt-ins, MQL conversion rate, pipeline influence in dollars, and closed-won deals tied to webinar engagement.

When you put the right stats in front of leadership, webinars stop being a line item and start being a revenue channel.

Watch the Full Webinar Session

The recording goes deeper on each phase, includes the live polls and audience Q&A, and walks through how we built and promoted this exact webinar as a worked example.

Build Your Next Webinar With Us – Cohort Starts May 11

Reading about a system is not the same as running one. Our four-week cohort fixes that.

You’ll work through all five phases with us, from topic selection, landing page, promo plan, live execution, through follow-up. You leave with a shipped webinar that drives real attendee registrations, and a repeatable playbook for the next one.

Seats are limited to 20 so we can give every team direct feedback.

Reserve your seat. Cohort starts May 11 →

The SEO Skills Gap: Why Technical Expertise Alone Won’t Cut It Anymore

The SEO industry has spent the last couple of decades perfecting the art of looking productive while delivering value some might describe as questionable.

Armed with an extensive suite of analytical tools, SEO is an incredibly data-rich and metric-rich industry. It was easy to generate reports that, on the surface at least, looked impressive to a C-suite eager for more of that “data-led decision making” everyone kept talking about.

These days, the C-suite is less interested in metrics like rankings, traffic, and sessions. They’re finally asking: “So what?”

It’s the same question that killed the “likes and followers” era of social media marketing. Eventually, boards stopped caring about follower counts and started demanding conversion rates, customer acquisition costs, and a measurable return on their investment.

Now it’s SEO’s turn for a reckoning. And answering that question requires a very different skill set from how many SEOs have been trained. Too many SEOs lack that wider business awareness and marketing aptitude to understand how they fit into the bigger picture.

In short, we’re faced with an SEO skills gap which, if left unaddressed, risks SEO teams and agencies falling out of step with the expectations of senior leadership and clients.

Rankings and traffic are still important, don’t get me wrong. But they’re not business outcomes; they’re contributory factors. Yet SEOs continue to cross their fingers in the hope that growth in these metrics will magically translate into sales or some other form of measurable business value. Who measures that value and how it comes about is usually someone else’s problem.

Sales and marketing can fret over the wider strategy. If the vanity metrics continue to show growth, the SEO team sits back, content they’ve done their bit.

Except, with zero-click search on the rise as customers turn increasingly to AI tools, many organizations are seeing their search traffic trending down. That focus on volume over strategy is no longer working.

Connecting The Dots To Business Outcomes

I’ve been watching this shift play out in real time. Over the past few years, I’ve noticed clients focus less on “Can you improve our rankings,” and more on “Can you prove how this contributes to our business growth.”

But as much as I’d like to trust my gut, personal experience hardly qualifies as unequivocal evidence. Unfortunately, I lack the resources to conduct a comprehensive five-year longitudinal analysis to see how employer/client expectations might have changed. So, I conducted a quick straw poll of my network instead.

It’s a small data sample, so apply the appropriate pinch of salt. I simply wanted to get a sense of whether what I’m seeing holds true beyond my business.

It seems it does.

I asked respondents how confident they were in their SEO team’s ability to explain SEO’s contribution to business outcomes like customer acquisition cost (CAC), lifetime value (LTV), and pipeline. Scored on a scale of 1 to 10, the overall average is a smidge over 6.7. Not terrible, but not great either.

But in an environment where budgets are shrinking, a score of just “okay” when it comes to demonstrating business value is potentially fatal.

Simply saying, “Trust us, it helps,” will never survive a CFO review.

SEO’s New Critical Skills

I also asked respondents which skills they consider to be most critical when hiring future SEOs. Unsurprisingly, the top result was:

1. Technical SEO (83%)

Of course, it is. You can’t tune a car without knowing your way around an engine. So no; crawling, indexing, load times, schema … none of it is going away.

But that near-ubiquitousness also means that technical SEO is the price of admission. It’s table stakes. It’s the bare minimum requirement. Being great with technical SEO will get you in the door, but it won’t keep you in the room.

What’s more telling is how many respondents selected critical skills that most SEO teams I encounter still treat as “someone else’s job.”

2. Content strategy and creation (61%)

3. Business acumen – CAC, LTV, revenue forecasting (50%)

4. Communication and stakeholder management (39%)

While the market still needs technicians, it’s increasingly hiring commercial operators. Knowing how to do something is only useful when you can also clearly articulate why.

Meanwhile, the skills that SEOs would normally consider part of their job description languished nearer the bottom of the results.

=5. Data analytics and reporting (33%)

=5. AI/machine‑learning and automation (33%)

That’s not to say SEOs don’t need to worry about these skills. It’s just that they’re less likely to sway an employer or client’s hiring decisions. Like vanity metrics, they’re simply the means to an end. An aptitude for data analytics isn’t a replacement for business acumen, but it helps inform those strategic decisions. AI and automation are useful tools, but they’re no replacement for human-led content creation.

Today, what separates high-performing teams from the rest isn’t their aptitude with technical SEO or their skill with data, but whether they can connect execution to outcomes and defend it in the language of business.

Marketing Fundamentals Matter Now More Than Ever

As SEO evolved into its own discipline, it apparently forgot that search visibility is just one component of a much larger strategic puzzle.

Most SEO teams operate as if their job is to “optimize websites.” It’s not. Their job is to help businesses grow profitably. And you can’t do that without understanding the fundamental building blocks of marketing strategy that have been hammered into every marketing graduate for over 60 years.

The four Ps of Marketing: Product, Price, Place, and Promotion.

Product: Do You Even Know What You’re Selling?

When brothers Michael and Marc Grondahl launched Planet Fitness in 1992, their strategy struck many as completely irrational. They set out to actively repel the industry’s most valuable customers.

The reason was actually quite simple. The brothers wanted to go after the 80-85% of people who didn’t belong to a gym. They realized that a gym full of well-muscled gym junkies lifting heavy weights and posing in front of mirrors is intimidating for casual users.

This insight completely shaped the gym’s launch strategy. Remove heavy weights. Ban string tank tops. No posing mirrors. And because casual users don’t overuse the facilities, gym memberships could be more affordable.

Every decision reinforced the same positioning: This is a judgment-free zone for normal people, not a stage for bodybuilders.

Most SEO teams create content without spending sufficient time trying to understand product positioning or brand messaging. With pressure on to show results quickly, they jump straight to execution, following the usual methodologies and repeatable processes to target the most obvious industry keywords.

And here’s the problem: while you can use SEO tools or AI to generate comprehensive and prioritized keyword lists, they can’t tell you who you should be selling to or how to position the product against competitors. That requires human insight, commercial understanding, and strategic thinking.

  • What problem does this product solve?
  • Who is it for (and who is it deliberately not for)?
  • What differentiates it from the available alternatives?
  • What’s the positioning strategy: premium, value, specialist, or generalist?

Price: Understanding Value, Not Just Cost

Pricing isn’t just a number. It’s a strategic signal about quality and positioning to your target market.

For example, the Van Westendorp Price Sensitivity Meter, introduced in 1976 by Dutch economist Peter van Westendorp, helps businesses to determine the price range customers will find most acceptable. It does this by asking four questions:

  • At what price would the product be too cheap to trust?
  • At what price is it a bargain?
  • At what price is it getting expensive but still acceptable?
  • At what price is it too expensive to consider?

This methodology is particularly useful when launching a new product that doesn’t (yet) have any obvious competitors. It gauges how much value consumers place on the innovation.

A pricing strategy can fundamentally change who to target and what messaging to use. Yet SEOs don’t always consider a client’s pricing strategy when deciding on an approach.

If the product is positioned as a premium expense, it makes no sense to chase high-volume keywords likely to attract price-sensitive customers. You’re bringing in people who won’t convert because they’re looking for the cheapest option, not the best option.

Place: Digital Shelves And Strategic Positioning

Place focuses on making the product available to customers in the right location and at the right time. In retail, this science is well-established.

According to recent NielsenIQ research, shoppers typically make in-store purchasing decisions in under six seconds. Hence, best-selling items are placed at eye level while less profitable products are relegated to higher or lower shelves.

Online, this decision window widens, as 44% of shoppers take at least three minutes to find a product. But while a website doesn’t have shelves, the principles are otherwise identical. By the time someone is ready to buy, they’re far more likely to default to a brand they’re already familiar with.

In search results, you’re effectively competing for digital eye level: a top three ranking, a featured snippet, an AI overview citation.

But placement extends far beyond search rankings. Can your content be cited by AI tools? Are your conversion paths obvious? Do you appear in comparison articles? Are you positioned alongside competitors in ways that favor your value proposition?

Effective placement isn’t just about identifying the channels where the business wants to be visible. It’s also about developing an interconnected content ecosystem. Just as supermarkets place complementary products together, your content should create logical pathways that guide customers forward.

Promotion: Where SEO Forgets It’s Supposed To Persuade

While Placement is about getting your content and messaging in front of the right people, Promotion is about influencing what happens next. Promotion is the persuasion part.

Imagine someone researching project management tools, comparing Asana, Monday.com, and Basecamp. A landing page titled “Asana vs. Monday.com for agencies” isn’t just informational; it’s promotional. You’re deliberately influencing how they evaluate options and steering them toward a specific conclusion.

Imagine you’re the CMO for a fictional project management tool called …  oh, I don’t know … Taskaroo. (I’m no branding expert.) Someone researching project management tools would likely want to compare Taskaroo alongside other likely options: Asana, Monday.com, and Basecamp.

Comparison pages are popular SEO tactics because they target valuable keywords at a key part of the research journey. But a landing page titled “Asana vs. Taskaroo for agencies” has even more value as a promotional tactic. The content on that page is your opportunity to shape how potential customers evaluate their options, framed to favor your own value propositions, of course, in the hope that more people will put Taskaroo into active consideration.

That’s how promotional content should work: meeting people wherever they are in the customer journey and providing the ideal information and messaging to move them forward.

The Friction That Kills Conversion

Promotion is where I see most SEO strategies fall apart. Not because SEOs don’t create content, but because they’ve forgotten that promotion isn’t the same as visibility.

When SEOs don’t think in terms of content ecosystems, mapped to the customer journey, they create unnecessary friction at exactly the moment someone might be ready to move forward.

For example, an ecommerce site publishes an article about running shoes. It’s a handy primer for anyone who’s just getting interested in running, with brief overviews of all the different types: trail running shoes, track shoes, road running shoes. It’s well-written, ranks nicely, and targets someone at the top of the funnel.

But once the reader starts wondering whether they should get a pair of trail running shoes, there’s nowhere for them to go. No suggested further reading on trail running to develop the reader’s interest; no links to guides on what to look for in trail running shoes; no connection to product recommendations. In short, there’s no next step for someone entering the consideration phase of the journey.

Actually, if there is a link, it’s probably in the form of a CTA pointing to the product page in the hope of boosting that page’s rankings. But is it really likely that someone might miraculously jump from awareness to costly conversion in a single bound after only reading a hundred heavily optimized words?

The reader has hit friction. Any further research will mean leaving your site, searching again, and potentially landing on a competitor with a better understanding of their needs. Your SEO team may have done the hard work of attracting the right audience and exciting their interest, only to abandon them at the exact moment they’re ready to go deeper.

This is why content marketing strategy and business acumen are now considered essential SEO skills. While SEO is mostly about building rankings and attracting traffic, content marketing is about nurturing and directing that traffic towards genuine, measurable business outcomes.

And that requires a comprehensive ecosystem of interlinked content spanning the entire journey from initial awareness to conversion and beyond, addressing as many relevant questions, objections, and barriers to purchase as possible along the way.

Flipping The Script On SEO

At the heart of the SEO skills gap sits a fundamental misunderstanding:

The purpose of your content isn’t to boost your SEO. The purpose of SEO is to boost your content.

SEOs use content to rank. Marketers create content to convert. If it’s possible to tell which assets were created for SEO and which were created for Marketing, then you have a problem.

When an SEO creates content purely to rank for a keyword, they’re not thinking about what the customer ultimately hopes to achieve. They’re not thinking about the journey and what happens next. They’re not anticipating what questions might arise. They’re not proactively addressing barriers and concerns that might prevent a purchase decision.

By understanding the four Ps, SEO’s role becomes much clearer. Forget chasing volume with vanity metrics. Truly effective SEO is about building experiences tailored to the customer journey, removing friction at every touchpoint, so that the next step is always obvious and effortless.

The companies that understand this don’t just rank. They convert.

Stop hiring “SEO Specialists” and start hiring growth marketers with SEO expertise who understand how their work contributes to customer acquisition efficiency, pipeline growth, and profitability.

More Resources:


Featured Image: Na_Studio/Shutterstock

How To Set Up AI Prompt Tracking You Can Trust [Webinar] via @sejournal, @lorenbaker

Getting Real About AI Visibility Tracking

If you’re on the search or marketing team right now, you’ve probably been asked some version of: “Are we showing up in ChatGPT?” or “What’s our visibility in AI Overviews?”

And honestly? Most of us are still figuring that out.

Answer engines like ChatGPT, Perplexity, and Google AI Overviews have changed how people discover and evaluate solutions. Yet, we still see a lot of teams approaching AI visibility tracking the same way they’ve approached keyword tracking, and they’re just not the same.

Improper tracking leads to bad data that’s being used to make decisions. And bad decisions can be expensive.

That’s why we’re bringing in Nick Gallagher, Sr. SEO Strategy Director at Conductor, to walk through how to set up AI prompt tracking the right way. The goal is to walk away with a tracking framework you can actually trust.

What You’ll Learn

  • How AI prompt tracking works, and why the setup matters more than the volume of prompts you’re monitoring.
  • Best practices for choosing the right topics, prompts, and answer engines to track.
  • How to avoid common mistakes that lead to inaccurate or misleading AI visibility data.

Why This Matters Right Now

A lot of the conversations I’ve been having with SEOs and in-house marketers lately come back to the same thing: they know AI search is important, but they don’t trust the data they’re getting. Nick is going to break down why that’s happening and give you a clear framework to fix it for smarter decision-making. 

If you’re trying to measure AI visibility and want to make sure you’re not building strategy on bad data, please join us.

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

15 Smarter Interview Questions For Hiring Digital Marketers In 2026 via @sejournal, @brookeosmundson

Hiring a digital marketer is no longer about finding someone who knows a few platforms well.

Most candidates can talk through Google Ads, social media, or analytics tools at a surface level. That is table stakes now. What separates a strong hire from a risky one is how they think when performance shifts, privacy rules change, or the data does not point to an obvious answer.

Marketing leaders today need people who can connect tactics to business outcomes, explain tradeoffs clearly, and adapt without panicking when the playbook changes. That is hard to uncover with generic interview questions.

The goal of this list is simple. These questions are designed to help you understand how a candidate approaches real-world problems, not just how well they have memorized terminology.

In many cases, the “why” behind their answers matters more than the answers themselves.

Here are 15 crucial interview questions to help you hire your next digital marketing teammate.

Tactical Knowledge Questions

The first set of questions focuses on an individual’s tactical knowledge of digital marketing.

1. How Do You Use AI And Automation To Improve Your Campaigns?

AI and automation aren’t just buzzwords anymore. They’re tools shaping how marketers work.

This question uncovers whether the candidate is using these tools for better performance or simply riding the hype wave.

  • What to listen for: Candidates should provide specific examples, such as using AI for bid adjustments in PPC or helping analyze campaign data for better optimizations. Red flags include vague responses or over-reliance on automation without understanding its impact.

2. What’s Your Approach To Building And Refining Audience Segments For Targeted Campaigns?

Audience targeting has become more nuanced, and it’s a skill you can’t skip.

This question dives into their strategy for reaching the right people at the right time.

  • What to listen for: Specific techniques like combining customer relationship management (CRM) data with platform insights or testing lookalike audiences. Be wary of candidates who rely solely on pre-set audience templates without customization.

3. How Do You Decide Which Channels Deserve Budget When Resources Are Limited?

This reveals prioritization, business thinking, and restraint. It also exposes whether the candidate understands incrementality, testing, and opportunity cost.

  • What to listen for: Thoughtful discussion around goals, marginal returns, test budgets, and tradeoffs. A red flag is defaulting to “we should be everywhere” without a rationale.

4. How Do You Leverage First-Party Data To Inform Your Campaigns?

First-party data is becoming increasingly valuable as the reliance on third-party cookies still remains questionable. This question uncovers how a candidate adapts to this shift of having a privacy-first mindset.

  • What to listen for: A candidate may talk about strategies like email segmentation, loyalty programs, or even how they’ve approached capturing first-party data to ensure they’re able to properly use them in campaigns. A potential red flag is relying on outdated cookie-based methods without a backup plan.

5. Can You Share An Example Of Using Cross-Platform Advertising That Has Driven Results?

As digital marketers, we know most campaigns aren’t “one and done” on a single platform. Candidates need to show how they think holistically about digital ecosystems.

  • What to listen for: Strong examples include integrating Google Ads with Meta campaigns or leveraging TikTok for awareness and retargeting on a different platform. A red flag is a candidate focusing only on one platform without considering how they interconnect and inform each other.

6. How Do You Decide What Metrics Matter Most When Reporting Performance?

Explaining results is just as important as achieving them. This question gets into their communication skills and ability to tell a story with data.

  • What to listen for: Clear alignment between business goals and metrics, plus examples of simplifying reports. Red flags include metric dumping or platform-first reporting. Examples of preferred reporting platforms and formats are a plus.

Strategic Knowledge Questions

It’s not only important to know how to do the job, but also to know why you’re doing what you’re doing.

The next set of questions allows you to dive deeper into the candidate’s mindset and see if they can put the strategic pieces together for clients.

7. How Do You Stay On Top Of Industry Changes, And What’s Something You’ve Learned Recently That Impacted Your Work?

The digital landscape changes every single day.

If someone isn’t staying current with best practices and platform changes, it can be detrimental to client success. You need to have someone on the team who is fully aware of any changes in the industry that could impact performance.

  • What to listen for: Understanding what methods a candidate uses to stay “in the know” is important. If a candidate says they’re too busy to set aside time to read up on trends, I’d consider that a red flag.

8. Have You Had To Pivot A Campaign Due To Changing Data Privacy Regulations?

Data privacy laws have changed the name of the game, especially in PPC.

This question tests how the candidate navigates regulations while keeping campaigns effective and compliant.

  • What to listen for: Look for examples like shifting to first-party data or adjusting targeting strategies in light of GDPR or CCPA. Red flags include ignoring compliance issues or struggling to adapt when audience data becomes restricted.

9. How Do You Measure Success Across Different Types Of Campaigns?

Success isn’t one-size-fits-all. The answer should show how they align goals, metrics, and performance analysis for various strategies.

  • What to listen for: Candidates should mention setting specific KPI goals based on the channel and objective of a campaign. Be wary of those who rely on vanity metrics like impressions without tying them to business outcomes.

10. How Do You Explain Complex Answers To A Client Or Someone In A C-Suite Role?

This will inevitably happen in any digital marketing role. It’s easy when you’re working as a team, and everyone knows the ins and outs of acronyms, in the weeds content.

Sometimes, you need to explain something like you’re talking to a third grader. Less is more.

  • Green flags to listen for:
    • Candidates who know how to navigate their language based on the role of the person they’re talking to.
    • When a candidate has the knowledge of basic business questions that the role cares about.
    • They know how to explain the “why” behind performance peaks and valleys.
  • Red flags to listen for:
    • Does the candidate dance around this question?
    • Is this candidate someone who might have difficulty thinking on their feet?
    • Do they believe in sharing too much data in order to avoid questions?

Culture & Fit Questions

This last set of questions is really looking at the long-term impact of your digital marketing hire.

You’re not looking to hire temporarily; you’re hiring for the long haul.

You want to feel confident in your candidate selection based on their character, the ability to collaborate with others (teams and clients), and, of course, the empathy factor.

11. What Is Your Management Style, And How Do You Ensure Alignment Within A Team?

Leadership and collaboration are critical in marketing roles.

This question helps assess how their approach complements your team dynamics.

  • Green flags to listen for: Strong candidates will mention fostering open communication, using clear goal-setting frameworks, or adapting their style to individual team members.
  • Red flags to listen for: If you notice any micro-management tendencies, or when the candidate avoids conflict resolution.

12. How Do You Balance Working Independently With Collaborating Across Departments?

Similar to the question above, digital marketers often juggle solo tasks with cross-functional initiatives.

Everyone performs their duties well in different scenarios. In some cases, digital marketers are required to work alone, on a team, or both.

This question highlights their adaptability to working together as a team versus in a silo.

  • What to listen for: Examples of successfully managing independent projects while aligning with other team departments. Be cautious of candidates who struggle to collaborate, communicate, or prefer working in silos.

13. Can You Describe A Time You Contributed To Maintaining A Positive Team Culture?

A strong company culture is key to retention and productivity.

This question reveals how they value and influence workplace dynamics.

  • What to listen for: Specific instances where they recognized a fellow colleague, facilitated team bonding, or helped resolve conflicts. Avoid candidates who dismiss culture-building as unimportant.

14. How Do You Handle Constructive Feedback, Both Giving And Receiving It?

Feedback is essential for any type of growth. This question assesses their ability to engage in productive conversations.

  • What to listen for: Look for examples of accepting feedback gracefully, acting on it, and offering constructive criticism thoughtfully. Red flags include defensiveness or avoiding difficult conversations.

15. What Are You Looking For In This Role?

Personally, I used to cringe at this question. Now, I find myself asking this to anyone I interview.

Bringing in a new person to an organization costs a lot of time and money. Think of all the training that goes into a new hire, the staffing that’s required to help train and mentor them, etc.

  • What to listen for: If they don’t have a clear answer, that’s a potential red flag. Are they simply looking for a stepping-stone position? While there’s nothing wrong with that, it’s better to know upfront to align expectations for both parties.

At the end of the day, do their motives fit in with your company’s culture and values? If not, they likely aren’t the right candidate.

The Real Goal Of These Interview Questions

Strong digital marketers are not defined by how many platforms they have used.

They stand out because they can explain their decisions, adapt when conditions change, and connect day-to-day execution back to business outcomes. Those traits rarely show up on a resume, but they surface quickly in the right conversation.

Use these questions as a framework, not a script. Listen for clarity of thought, intellectual honesty, and comfort with uncertainty.

The best candidates will not pretend to have all the answers. They will show you how they think through the hard ones.

At the end of the day, you are not hiring someone to manage channels. You are hiring someone to help steer growth.

These questions help you figure out who is actually ready for that responsibility.

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