Track, Prioritize & Win In AI Search [Webinar] via @sejournal, @hethr_campbell

AI search is reshaping buyer discovery. 

Every week, 800 million searches happen across ChatGPT, Claude, Perplexity, and other AI engines. 

If your brand isn’t showing up, you’re losing leads and opportunities.

Join Samanyou Garg, Founder of Writesonic, on September 10, 2025, for a webinar designed to help marketers and SEO teams master AI visibility. In this session, you’ll learn practical tactics to measure, prioritize, and optimize your AI footprint.

Here’s what you’ll walk away with

  • AI Visibility Tracking Framework: Measure mentions, citations, sentiment, and share of voice across AI engines
  • Data-Driven Prioritization: Focus on high-impact prompts and competitor gaps for the best ROI
  • 3-Pillar GEO Action Plan: Improve crawler access, craft prompt-specific content, and earn authority-building citations

Why you can’t miss this webinar:

AI-driven search is no longer optional. Your brand’s presence in AI answer engines directly impacts traffic, leads, and revenue. This session will equip you with a step-by-step process to turn AI visibility into real business results.

Save your spot now to learn actionable strategies that top brands are using to dominate AI search.

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

Consumer Trust And Perception Of AI In Marketing

This edited excerpt is from Ethical AI in Marketing by Nicole Alexander ©2025 and is reproduced and adapted with permission from Kogan Page Ltd.

Recent research highlights intriguing paradoxes in consumer attitudes toward AI-driven marketing. Consumers encounter AI-powered marketing interactions frequently, often without realizing it.

According to a 2022 Pew Research Center survey, 27% of Americans reported interacting with AI at least several times a day, while another 28% said they interact with AI about once a day or several times a week (Pew Research Center, 2023).

As AI adoption continues to expand across industries, marketing applications – from personalized recommendations to chatbots – are increasingly shaping consumer experiences.

According to McKinsey & Company (2023), AI-powered personalization can deliver five to eight times the ROI on marketing spend and significantly boost customer engagement.

In this rapidly evolving landscape, trust in AI has become a crucial factor for successful adoption and long-term engagement.

The World Economic Forum under­scores that “trust is the foundation for AI’s widespread acceptance,” and emphasizes the necessity for companies to adopt self-governance frameworks that prioritize transparency, accountability, and fairness (World Economic Forum, 2025).

The Psychology Of AI Trust

Consumer trust in AI marketing systems operates fundamentally differently from traditional marketing trust mechanisms.

Where traditional marketing trust builds through brand familiarity and consistent experiences, AI trust involves additional psychological dimensions related to automation, decision-making autonomy, and perceived control.

Understanding these differences is crucial for organizations seek­ing to build and maintain consumer trust in their AI marketing initiatives.

Cognitive Dimensions

Neurological studies offer intriguing insights into how our brains react to AI. Research from Stanford University reveals that we process information differently when interacting with AI-powered systems.

For example, when evaluating AI-generated product recommendations, our brains activate distinct neural path­ways compared to those triggered by recommendations from a human salesperson.

This crucial difference highlights the need for marketers to understand how consum­ers cognitively process AI-driven interactions.

There are three key cognitive factors that have emerged as critical influences on AI trust, including perceived control, understanding of mechanisms, and value recognition.

Emotional Dimensions

Consumer trust in AI marketing is deeply influenced by emotional factors, which often override logical evaluations. These emotional responses shape trust in several key ways:

  • Anxiety and privacy concerns: Despite AI’s convenience, 67% of consumers express anxiety about how their data is used, reflecting persistent privacy concerns (Pew Research Center, 2023). This tension creates a paradoxical relationship where consumers benefit from AI-driven marketing while simultaneously fearing its potential misuse.
  • Trust through repeated interactions: Emotional trust in AI systems develops iteratively through repeated, successful interactions, particularly when systems demonstrate high accuracy, consistent performance, and empathetic behavior. Experimental studies show that emotional and behavioral trust accumulate over time, with early experiences strongly shaping later perceptions. In repeated legal decision-making tasks, users exhibited growing trust toward high-performing AI, with initial interactions significantly influencing long-term reliance (Kahr et al., 2023). Emotional trust can follow nonlinear pathways – dipping after failures but recovering through empathetic interventions or improved system performance (Tsumura and Yamada, 2023).
  • Honesty and transparency in AI content: Consumers increasingly value transpar­ency regarding AI-generated content. Companies that openly disclose when AI has been used – for instance, in creating product descriptions – can empower customers by helping them feel more informed and in control of their choices. Such openness often strengthens customer trust and fosters positive perceptions of brands actively embracing transparency in their marketing practices.

Cultural Variations In AI Trust

The global nature of modern marketing requires a nuanced understanding of cultural differences in AI trust. These variations arise from deeply ingrained societal values, historical relationships with technology, and norms around privacy, automation, and decision-making.

For marketers leveraging AI in customer engagement, recognizing these cultural distinctions is crucial for developing trustworthy AI-driven campaigns, personalized experiences, and region-specific data strategies.

Diverging Cultural Trust In AI

Research reveals significant disparities in AI trust across global markets. A KPMG (2023) global survey found that 72% of Chinese consumers express trust in AI-driven services, while in the U.S., trust levels plummet to just 32%.

This stark difference reflects broader societal attitudes toward government-led AI innovation, data privacy concerns, and varying historical experiences with technology.

Another study found that AI-related job displacement fears vary greatly by region. In countries like the U.S., India, and Saudi Arabia, consumers express significant concerns about AI replacing human roles in professional sectors such as medicine, finance, and law.

In contrast, consumers in Japan, China, and Turkey exhibit lower levels of concern, signaling a higher acceptance of AI in professional settings (Quantum Zeitgeist, 2025).

The Quantum Zeitgeist study shows that regions like Japan, China, and Turkey exhibit lower levels of concern about AI replacing human jobs compared to regions like the U.S., India, and Saudi Arabia, where such fears are more pronounced.

This insight is invaluable for marketers crafting AI-driven customer service, finan­cial tools, and healthcare applications, as perceptions of AI reliability and utility vary significantly by region.

As trust in AI diverges globally, understanding the role of cultural privacy norms becomes essential for marketers aiming to build trust through AI-driven services.

Cultural Privacy Targeting In AI Marketing

As AI-driven marketing becomes more integrated globally, the concept of cultural privacy targeting – the practice of aligning data collection, privacy messaging, and AI transparency with cultural values – has gained increasing importance. Consumer attitudes toward AI adoption and data privacy are highly regional, requiring market­ers to adapt their strategies accordingly.

In more collectivist societies like Japan, AI applications that prioritize societal or community well-being are generally more accepted than those centered on individual convenience.

This is evident in Japan’s Society 5.0 initiative – a national vision intro­duced in 2016 that seeks to build a “super-smart” society by integrating AI, IoT, robotics, and big data to solve social challenges such as an aging population and strains on healthcare systems.

Businesses are central to this transformation, with government and industry collaboration encouraging companies to adopt digital technologies not just for efficiency, but to contribute to public welfare.

Across sectors – from manufac­turing and healthcare to urban planning – firms are reimagining business models to align with societal needs, creating innovations that are both economically viable and socially beneficial.

In this context, AI is viewed more favorably when positioned as a tool to enhance collective well-being and address structural challenges. For instance, AI-powered health monitoring technologies in Japan have seen increased adoption when positioned as tools that contribute to broader public health outcomes.

Conversely, Germany, as an individualistic society with strong privacy norms and high uncertainty avoidance, places significant emphasis on consumer control over personal data. The EU’s GDPR and Germany’s support for the proposed Artificial Intelligence Act reinforce expectations for robust transparency, fairness, and user autonomy in AI systems.

According to the OECD (2024), campaigns in Germany that clearly communicate data usage, safeguard individual rights, and provide opt-in consent mechanisms experience higher levels of public trust and adoption.

These contrasting cultural orientations illustrate the strategic need for contextual­ized AI marketing – ensuring that data transparency and privacy are not treated as one-size-fits-all, but rather as culture-aware dimensions that shape trust and acceptance.

Hofstede’s (2011) cultural dimensions theory offers further insights into AI trust variations:

  • High individualism + high uncertainty avoidance (e.g., Germany, U.S.) → Consum­ers demand transparency, data protection, and human oversight in AI marketing.
  • Collectivist cultures with lower uncertainty avoidance (e.g., Japan, China, South Korea) → AI is seen as a tool that enhances societal progress, and data-sharing concerns are often lower when the societal benefits are clear (Gupta et al., 2021).

For marketers deploying AI in different regions, these insights help determine which features to emphasize:

  • Control and explainability in Western markets (focused on privacy and auton­omy).
  • Seamless automation and societal progress in East Asian markets (focused on communal benefits and technological enhancement).

Understanding the cultural dimensions of AI trust is key for marketers crafting successful AI-powered campaigns.

By aligning AI personalization efforts with local cultural expectations and privacy norms, marketers can improve consumer trust and adoption in both individualistic and collectivist societies.

This culturally informed approach helps brands tailor privacy messaging and AI transparency to the unique preferences of consumers in various regions, building stronger relationships and enhancing overall engagement.

Avoiding Overgeneralization In AI Trust Strategies

While cultural differences are clear, overgeneralizing consumer attitudes can lead to marketing missteps.

A 2024 ISACA report warns against rigid AI segmentation, emphasizing that trust attitudes evolve with:

  • Media influence (e.g., growing fears of AI misinformation).
  • Regulatory changes (e.g., the EU AI Act’s impact on European consumer confidence).
  • Generational shifts (younger, digitally native consumers are often more AI-trusting, regardless of cultural background).

For AI marketing, this highlights the need for flexible, real-time AI trust monitoring rather than static cultural assumptions.

Marketers should adapt AI trust-building strategies based on region-specific consumer expectations:

  • North America and Europe: AI explainability, data transparency, and ethical AI labels increase trust.
  • East Asia: AI-driven personalization and seamless automation work best when framed as benefiting society.
  • Islamic-majority nations and ethical consumer segments: AI must be clearly aligned with fairness and ethical governance.
  • Global emerging markets: AI trust is rapidly increasing, making these markets prime opportunities for AI-driven financial inclusion and digital transformation.

The data, drawn from the 2023 KPMG International survey, underscores how cultural values such as collectivism, uncertainty avoidance, and openness to innovation, shape public attitudes toward AI.

For example, trust levels in Germany and Japan remain low, reflecting high uncertainty avoidance and strong privacy expectations, while countries like India and Brazil exhibit notably higher trust, driven by optimism around AI’s role in societal and economic progress.

Measuring Trust In AI Marketing Systems

As AI becomes central to how brands engage customers – from personalization engines to chatbots – measuring consumer trust in these systems is no longer optional. It’s essential.

And yet, many marketing teams still rely on outdated metrics like Net Promoter Score (NPS) or basic satisfaction surveys to evaluate the impact of AI. These tools are helpful for broad feedback but miss the nuance and dynamics of trust in AI-powered experiences.

Recent research, including work from MIT Media Lab (n.d.) and leading behavioral scientists, makes one thing clear: Trust in AI is multi-dimensional, and it’s shaped by how people feel, think, and behave in real-time when interacting with automated systems.

Traditional metrics like NPS and CSAT (Customer Satisfaction Score) tell you if a customer is satisfied – but not why they trust (or don’t trust) your AI systems.

They don’t account for how transparent your algorithm is, how well it explains itself, or how emotionally resonant the interaction feels. In AI-driven environments, you need a smarter way to understand trust.

A Modern Framework For Trust: What CMOs Should Know

MIT Media Lab’s work on trust in human-AI interaction offers a powerful lens for marketers. It breaks trust into three key dimensions:

Behavioral Trust

This is about what customers do, not what they say. When customers engage frequently, opt in to data sharing, or return to your AI tools repeatedly, that’s a sign of behavioral trust. How to track it:

  • Repeat engagement with AI-driven tools (e.g., product recommenders, chatbots).
  • Opt-in rates for personalization features.
  • Drop-off points in AI-led journeys.

Emotional Trust

Trust is not just rational, it’s emotional. The tone of a voice assistant, the empathy in a chatbot’s reply, or how “human” a recommendation feels all play into emotional trust. How to track it:

  • Sentiment analysis from chat transcripts and reviews.
  • Customer frustration or delight signals from support tickets.
  • Tone and emotional language in user feedback.

Cognitive Trust

This is where understanding meets confidence. When your AI explains itself clearly – or when customers understand what it can and can’t do –they’re more likely to trust the output. How to track it:

  • Feedback on explainability (“I understood why I got this recommendation”).
  • Click-through or acceptance rates of AI-generated content or decisions.
  • Post-interaction surveys that assess clarity.

Today’s marketers are moving toward real-time trust dashboards – tools that moni­tor how users interact with AI systems across channels. These dashboards track behavior, sentiment, and comprehension all at once.

According to MIT Media Lab researchers, combining these signals provides a richer picture of trust than any single survey can. It also gives teams the agility to address trust breakdowns as they happen – like confusion over AI-generated content or friction in AI-powered customer journeys.

Customers don’t expect AI to be perfect. But they do expect it to be honest and understandable. That’s why brands should:

  • Label AI-generated content clearly.
  • Explain how decisions like pricing, recommendations, or targeting are made.
  • Give customers control over data and personalization.

Building trust is less about tech perfection and more about perceived fairness, clarity, and respect.

Measuring that trust means going deeper than satisfaction. Use behav­ioral, emotional, and cognitive signals to track trust in real-time – and design AI systems that earn it.


To read the full book, SEJ readers have an exclusive 25% discount code and free shipping to the US and UK. Use promo code ‘SEJ25’ at koganpage.com here.

More Resources: 


References

  • Hofstede, G (2011) Dimensionalizing Cultures: The Hofstede Model in Context, Online Readings in Psychology and Culture, 2 (1), scholarworks.gvsu.edu/cgi/viewcontent. cgi?article=1014&context=orpc (archived at https://perma.cc/B7EP-94CQ)
  • ISACA (2024) AI Ethics: Navigating Different Cultural Contexts, December 6, www.isaca. org/resources/news-and-trends/isaca-now-blog/2024/ai-ethics-navigating-different-cultural-contexts (archived at https://perma.cc/3XLA-MRDE)
  • Kahr, P K, Meijer, S A, Willemsen, M C, and Snijders, C C P (2023) It Seems Smart, But It Acts Stupid: Development of Trust in AI Advice in a Repeated Legal Decision-Making Task, Proceedings of the 28th International Conference on Intelligent User Interfaces. doi.org/10.1145/3581641.3584058 (archived at https://perma.cc/SZF8-TSK2)
  • KPMG International and The University of Queensland (2023) Trust in Artificial Intelligence: A Global Study, assets.kpmg.com/content/dam/kpmg/au/pdf/2023/ trust-in-ai-global-insights-2023.pdf (archived at https://perma.cc/MPZ2-UWJY)
  • McKinsey & Company (2023) The State of AI in 2023: Generative AI’s Breakout Year, www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023- generative-ais-breakout-year (archived at https://perma.cc/V29V-QU6R)
  • MIT Media Lab (n.d.) Research Projects, accessed April 8, 2025
  • OECD (2024) OECD Artificial Intelligence Review of Germany, www.oecd.org/en/ publications/2024/06/oecd-artificial-intelligence-review-of-germany_c1c35ccf.html (archived at https://perma.cc/5DBS-LVLV)
  • Pew Research Center (2023) Public Awareness of Artificial Intelligence in Everyday Activities, February, www.pewresearch.org/wp-content/uploads/sites/20/2023/02/ PS_2023.02.15_AI-awareness_REPORT.pdf (archived at https://perma.cc/V3SE-L2BM)
  • Quantum Zeitgeist (2025) How Cultural Differences Shape Fear of AI in the Workplace, Quantum News, February 22, quantumzeitgeist.com/how-cultural-differences-shape-fear-of-ai-in-the-workplace-a-global-study-across-20-countries/ (archived at https://perma.cc/3EFL-LTKM)
  • Tsumura, T and Yamada, S (2023) Making an Agent’s Trust Stable in a Series of Success and Failure Tasks Through Empathy, arXiv. arxiv.org/abs/2306.09447 (archived at https://perma.cc/L7HN-B3ZC)
  • World Economic Forum (2025) How AI Can Move from Hype to Global Solutions, www. weforum.org/stories/2025/01/ai-transformation-industries-responsible-innovation/ (archived at https://perma.cc/5ALX-MDXB)

Featured Image: Rawpixel.com/Shutterstock

How AI Search Can Drive Sales & Boost Conversions [Webinar] via @sejournal, @brentcsutoras

AI search has completely changed the way customers make decisions. If you’re still just tracking data instead of driving sales from AI search, you are missing out.

Join Bart Góralewicz, Co-Founder of ZipTie.dev, on September 3, 2025, for an insightful webinar on how to map customer journeys in AI search and turn those insights into measurable sales.

What you will learn:

Why attend:

Brands that win in AI search are not just watching their metrics. They are understanding how customers discover and decide to buy. This session will give you the tools to drive higher conversions and grow revenue with AI search.

Register now to learn practical strategies you can apply right away. Can’t attend live? No problem! Sign up, and we will send you the recording.

Why The Last Year Has Been The Biggest Challenge For CMOs via @sejournal, @gregjarboe

I’ve spent 30 years navigating the turbulent waters of what was once called “internet marketing” and is now called “digital marketing.”

Based on my experience, the past year has been nothing short of a perfect storm for chief marketing officers (CMOs).

As the Director of Corporate Communications for Ziff-Davis, I helped to launch Yahoo! Europe in 1996. We faced several key challenges as the joint venture began offering customized versions of Yahoo!’s leading “Internet guide” in France, Germany, and the United Kingdom.

We had to overcome language, cultural, operational, and competitive hurdles to succeed in a rapidly evolving digital landscape with “annual growth rates in excess of 80%.”

Four years later, I was the VP of Marketing of WebCT when the dot-com bubble burst on March 10, 2000.

A month earlier, the board of directors had asked me why we had not joined the other 14 dot-com companies that spent $2.2 million to run a 30-second spot during Super Bowl XXXIV.

A month later, the board told me to cut my marketing budget in half. (So, our strategic goal flipped overnight from lighting our money on fire to slowing our burn rate.)

Yet, even with that backdrop, the confluence of challenges CMOs have faced in the last twelve months is unprecedented.

Let’s analyze why this current period has been particularly grueling and evaluate some critical data, market trends, strategic insights, fresh examples, and tactical advice for navigating these unusually rough seas.

A Perfect Storm Of Challenges

We are witnessing a surprising mix of factors:

Changing Consumer Behavior

The COVID-19 pandemic permanently reshaped consumer behaviors and preferences.

CMOs have had to rapidly adapt to increased demand for digital engagement, personalized experiences, and a heightened focus on sustainability.

Understanding and responding to these evolving expectations is paramount for maintaining brand loyalty.

Increased Competition

The digital marketing environment is more turbulent than ever, with brands fiercely competing for consumer attention across numerous channels.

CMOs are tasked with differentiating their brands in a saturated market, which necessitates innovative strategies and truly creative campaigns to stand out.

Rapid Technological Advancements

The pace of technological change continues to accelerate, with new tools and platforms emerging at a dizzying rate.

CMOs are not only expected to stay on top of these developments but also to seamlessly integrate advanced technologies like artificial intelligence (AI), machine learning (ML), and data analytics into their strategies, all while ensuring their teams are proficient in using them.

Economic Uncertainty

Global economic fluctuations, marked by inflation and supply chain disruptions, have forced CMOs to operate with tighter budgets and contend with shifting consumer spending habits.

This volatility makes forecasting marketing return on investment (ROI) and allocating resources effectively incredibly difficult.

Measurement And Accountability

As marketing becomes increasingly data-driven, CMOs face intense pressure to demonstrate the effectiveness of their strategies.

Establishing clear metrics and accountability for marketing performance is essential, yet it remains challenging in such a rapidly changing environment.

Navigating A Perfect Storm

This powerful combination of negative circumstances leads to a significantly worse outcome than if those circumstances had occurred separately. This explains why the role of the CMO has never been more complex, nor more critical.

But, how does a CMO successfully navigate a perfect storm?

In this maelstrom, Google is often seen as both a catalyst for these challenges and a beacon for solutions. So, CMOs may turn to “Think with Google,” which was recently updated to provide the equivalent of a nautical chart of “marketing in the AI era.”

The redesigned Think with Google has organized its content into five critical categories: Consumer Insights, Search & Video, AI Excellence, Future of Marketing, and Measurement.

These can provide a strategic framework for CMOs to not only weather the current turbulence but to emerge stronger, more agile, and more effective.

1. Consumer Insights: Marketing To The Predictably Unpredictable Customer

In an age of endless choice and constant connectivity, the consumer journey is anything but linear.

Understanding the “predictably unpredictable” customer is paramount. This means moving beyond demographic segmentation to truly grasp intent, context, and micro-moments.

Critical Data: New research indicates video plays a vital role in the shopping journey, especially on YouTube, where consumers seek in-depth information and trusted creator recommendations.

YouTube influences various shopping behaviors, from “rookie” to “quest for the best,” and can shorten the purchasing journey.

Shoppers turn to YouTube for product reviews and information more than other social platforms, leading to increased purchase confidence.

Market Trends: Social media drives brand awareness, but trusted recommendations boost conversions. According to a recent Traackr survey, YouTube is a top platform for product reviews.

Shoppers are increasingly relying on content from creators and honest product reviews to make their buying choices, which has, on average, cut six days off their purchasing journey, according to a Google/Material survey.

Strategic Insight: The modern consumer expects hyper-personalization without sacrificing privacy.

CMOs must build deep empathy for their audience, anticipating needs before they are explicitly stated and delivering value at every touchpoint. This requires a shift from broad-stroke campaigns to highly individualized experiences.

Fresh Example: Sephora expanded its holiday social media campaigns by collaborating with seven creators on a Shorts-only Demand Gen campaign that featured timely gift guides.

This strategy significantly increased traffic to Sephora.com, leading to an 82% rise in “Sephora holiday” searches and top-tier brand awareness.

Tactical Advice:

  • Invest in First-Party Data Strategies: As third-party cookies deprecate, building robust first-party data collection mechanisms becomes non-negotiable. This includes loyalty programs, direct customer interactions, and consent-driven data capture.
  • Map the Non-Linear Journey: Utilize analytics to understand the actual paths customers take, identifying key decision points and moments of influence, rather than relying on outdated funnel models.
  • Embrace Empathy-Driven Content: Create content that directly addresses customer pain points, aspirations, and questions, rather than simply pushing products.
  • Conduct Market and Audience Research: Both are crucial for understanding a business’s potential and success, but they differ in scope and focus. Market research explores the overall market landscape, while audience research delves into the specific characteristics and behaviors of a target group.

2. Search & Video: Meeting Customers Where They’re Searching, Streaming, Scrolling, And Shopping

Search and video are no longer distinct channels but intertwined ecosystems where consumers search, stream, scroll, and shop.

So, you must “influence audiences in all the places they go to consume content about your topic,” as Rand Fishkin says.

Critical Data: New research from Boston Consulting Group (BCG) indicates that four key consumer behaviors (streaming, scrolling, searching, and shopping) have fundamentally changed how consumers find and interact with brands.

For CMOs, it is crucial to understand each of these “4S behaviors” and adjust their marketing strategies accordingly to effectively reach, connect with, and ultimately sell to their target audiences.

Market Trends: The increasing prevalence of the “4S behaviors” creates an opportunity and a threat for CMOs.

While these behaviors make the consumer’s path to purchase more unpredictable and difficult to track, they also open new doors for brands to connect with, influence, and convert potential customers.

Strategic Insight: Visibility and discoverability are paramount. CMOs must ensure their brands are present and compelling across all forms of search and video consumption, anticipating evolving user behaviors, including voice and visual queries.

Fresh Example:Rare Beauty, founded by Selena Gomez, used AI-powered advertising to connect with Gen Z and drive business growth.

It leveraged Google AI with YouTube and Search strategies to deliver relevant messages, leading to a 7X return on ad spend as well as increased traffic and conversions through their own site and Sephora.com.

Tactical Advice:

  • Optimize for Generative AI in Search: Understand how AI-powered summaries and answers will impact organic visibility. Focus on providing comprehensive, authoritative content that AI models can readily synthesize.
  • Adopt “Search Everywhere Optimization”: Optimize content not just for text-based queries but also for voice search (conversational language, long-tail keywords) and visual search (high-quality images, structured data).
  • Master YouTube SEO and Strategy: As I outlined before, YouTube is a powerhouse. Focus on strong titles, descriptions, tags, and compelling thumbnails. Prioritize audience retention and engagement signals.
  • Embrace Shoppable Video: Integrate ecommerce directly into video content, allowing seamless transitions from viewing to purchasing.

3. AI Excellence: Transform Your Marketing With AI And Boost ROI

Artificial intelligence is no longer a futuristic concept; it is a present-day imperative for marketing transformation.

From automating routine tasks to powering hyper-personalization and predictive analytics, AI is reshaping every facet of the marketing function.

Critical Data: A recent report on AI in the Workplace by McKinsey Digital found:

“Almost all companies invest in AI, but just 1 percent believe they are at maturity. Our research finds the biggest barrier to scaling is not employees – who are ready – but leaders, who are not steering fast enough.”

Market Trends: The democratization of generative AI tools is making sophisticated AI capabilities accessible to more marketers. The focus is shifting from simply using AI to mastering AI for strategic advantage.

As I suggested previously, AI should be integrated into a continuous improvement loop, where insights from AI inform strategy, leading to better execution and further data collection.

Strategic Insight: CMOs must view AI not as a replacement for human creativity but as an indispensable co-pilot.

The strategic adoption of AI can unlock unprecedented efficiencies, enhance decision-making, and significantly boost return on investment.

Fresh Example: Jill Cress, H&R Block’s CMO, has increased AI-powered marketing tool usage by 24% by focusing on empathy and education.

Her strategy aligns AI with brand values like expertise and empathy, leading to innovations like AI Tax Assist and localized marketing efforts. This human-centered approach provides a model for AI leadership.

Tactical Advice:

  • Automate Mundane Tasks: Use AI for tasks like ad copy generation, email subject line optimization, social media scheduling, and basic content creation to free up human marketers for strategic work.
  • Personalization at Scale: Deploy AI-powered tools for dynamic content delivery, personalized product recommendations, and adaptive website experiences based on real-time user behavior.
  • Predictive Analytics for Campaign Optimization: Leverage AI to forecast campaign performance, identify optimal audience segments, and predict customer churn, allowing for proactive adjustments.
  • Ethical AI Implementation: Establish clear guidelines for AI usage, ensuring fairness, transparency, and data privacy.

4. Future Of Marketing: Lead The Charge With The Latest Innovations And Ideas

This section of the overhauled Think with Google resource for marketers, advertisers, and creatives provides the least helpful content to CMOs in an unexpected mix of events.

Why? Because articles by “Guest Thinkers” on topics like “3 strategies for navigating your marketing career to become a CMO” are worth reading.

But in a crisis, advice for how to grow your career in marketing to become a CMO is the first thing that current CMOs will toss overboard to lighten the ship.

In a crisis, time can seem to speed up. So, the perception of the “Future of Marketing” alters from 4.3 years (which is the average tenure of CMOs, according to Spencer Stuart) to 4.3 months, which is when CMOs who don’t successfully navigate economic uncertainty are likely to exit their roles.

Unfortunately for them, the most recent article from Think with Google that addresses economic uncertainty was published in 2022.

This article analyzed how economic uncertainty impacts consumer behavior and spending intentions. It also discussed how businesses need to build trust with customers in an uncertain market.

Two days later, OpenAI released ChatGPT on Nov. 30, 2022.

In November 2023, when Think with Google in Europe, Middle East & Africa published their predictions for 2024, the focus shifted to “growth” – even though economic uncertainty was predicted to continue.

Since then, the topic of economic uncertainty has only popped up in a Think with Google UK article in 2025. But it appears that Think with Google is avoiding this topic in the U.S.

So, what should CMOs in the US do?

The Economic Policy Uncertainty (EPU) Index is a good source of critical data about economic uncertainty.

But, the best source is proprietary market research, which enables a CMO to understand changing customer needs, identify new opportunities, and make informed decisions, helping them adapt and thrive in a challenging market.

In the U.S., eMarketer offers a comprehensive suite of resources, including advertising and marketing research as well as a toolkit on “Navigating Uncertainty in 2025.”

In the U.K., the IPA Bellwether Report has found marketing budgets often decrease during economic downturns, like the 2008 financial crash and the 2020 COVID-19 lockdown, showing that the willingness of British businesses to invest in their brands is closely tied to the economic climate.

Strategic Insight: Agility and a willingness to experiment are the hallmarks of future-ready marketing leaders. This involves fostering a culture of continuous learning and embracing technologies that redefine customer engagement.

Equivalent Examples: CMOs should read Tim Ringel’s article in Fast Company, where he says:

“We constantly live in uncertain times. Periods of tranquility are actually an aberration, if not an illusion.”

He adds:

“Rougher waters don’t sink all boats.”

Although his examples are from the Great Recession of 2008 and the COVID-10 pandemic of 2020, they offer “four strategic approaches for the uncertainty-conscious marketer.”

Tactical Advice:

  • Hire an Economist or Chief Economist: Susan Athey and Michael Luca of the Harvard Business Review have explained “Why Tech Companies Hire So Many Economists.” And Lydia DePillis of The Washington Post declared some time ago that  “Chief economists are the new marketers.” More CMOs should hire an economist to be their “Analysis Ninja.”
  • Build Agile Marketing Teams: Structure teams to be cross-functional and adaptable, capable of rapid iteration and quick pivots in response to market shifts.
  • Assemble All Hands on Deck: According to Spencer Stuart, 16% of Fortune 500 marketing leaders have marketing plus another function in their title (such as chief marketing and communications officer). If this function does not report to the CMO or SVP of marketing yet, then include Communications in all-hands meetings to ensure everyone is working towards a shared purpose.
  • Invest in Continuous Learning: Encourage teams to stay abreast of the latest technological advancements and marketing methodologies.

5. Measurement: Build Business Advantage With Your Data

In an increasingly data-rich environment, the ability to effectively measure marketing performance and translate data into actionable insights is the ultimate competitive advantage.

Without robust measurement, CMOs are just using dead reckoning.

Critical Data: Earlier this year, I asked, Where are the missing data holes? Back then, 67.9% of users of the Google Merchandise Store over the previous 28 days had arrived from the direct channel, according to the GA4 demo account.

Today, 77.6% of users are arriving “direct,” which means GA4 cannot determine the specific referral source of more than three out of four visitors.

Screenshot by author from GA4, July 2025

Market Trends: This month, I asked, why CMOs need to rethink attribution. I also said they should conduct brand lift studies and audience research to successfully navigate the reduced visibility that is a significant consequence of a perfect storm.

Strategic Insight: CMOs should read Avinash Kaushik’s article in The Marketing < > Analytics Intersect Newsletter. He advises shifting from activity-based marketing metrics to profit-driven outcomes like “Profit On Investment” (POI).

This innovative approach protects CMOs and secures budgets by demonstrating true business value. Kaushik also recommends cutting underperforming campaigns and retraining teams to achieve positive POI, stressing the importance of profitability even with AI Search.

Fresh Example: Lululemon used an AI-powered playbook to boost its performance marketing. This involved restructuring shopping campaigns, building a new customer acquisition engine, and strengthening measurement foundations.

The strategy led to reduced customer acquisition costs, increased new customer revenue, and an 8% boost in return on ad spend (ROAS).

Tactical Advice:

  • Implement Robust Attribution Models: Move beyond last-click attribution to multi-touch attribution models that give credit to all touchpoints in the customer journey, providing a more accurate picture of ROI.
  • Data Governance and Quality: Establish clear processes for data collection, cleaning, and storage to ensure accuracy and compliance with privacy regulations.
  • Integrate Data Silos: Break down departmental silos to create a unified view of customer interactions across marketing, sales, and service. This often involves Customer Data Platforms (CDPs) or robust data warehousing solutions.
  • Focus on Business Outcomes, Not Just Marketing Metrics: Connect marketing efforts directly to revenue, customer lifetime value, and market share, demonstrating clear business impact to the C-suite.

Conclusion: Thriving In The New Marketing Era

The digital marketing environment is indeed a perfect storm, but it is also brimming with unprecedented opportunities for those CMOs willing to adapt, innovate, and lead.

The redesigned Think with Google offers a framework to circumnavigate these challenges, even if the “Future of Marketing” team needs to recalibrate their time horizon, revise their editorial calendar, and refresh their helpful content on the topic of economic uncertainty.

By deeply understanding the predictably unpredictable customer, mastering the dynamic search and video ecosystem, embracing AI as a strategic partner, proactively exploring the future of marketing, and building a robust, data-driven measurement infrastructure, CMOs can transform their marketing organizations.

The future belongs to the agile, the data-informed, and the customer-obsessed.

By focusing on these strategic categories, CMOs can not only weather the storm but steer their brands towards unprecedented growth and sustained competitive advantage.

More Resources:


Featured Image: Roman Samborskyi/Shutterstock

Earn 1,000+ Links & Boost Your SEO Visibility [Webinar] via @sejournal, @lorenbaker

Build the Authority You Need for AI-Driven Visibility

Struggling to get backlinks, even when your content is solid? 

You’re not alone. With Google’s AI Overviews and generative search dominating the results, traditional link-building tactics just don’t cut it anymore.

It’s time to earn the trust that boosts your brand’s visibility across Google, ChatGPT, and AI search engines.

Join Kevin Rowe, Founder & Head of Digital PR Strategy at PureLinq, on August 27, 2025, for an exclusive webinar. Learn the exact strategies Kevin’s team used to earn 1,000+ links and how you can replicate them without needing a massive budget or PR team.

What You’ll Learn:

  • How to identify media trends where your expertise is in demand.
  • The step-by-step process to create studies that can earn links on autopilot.
  • How to craft a story angle journalists will want to share.

Why This Webinar is Essential:

Earned links and citations are now key to staying visible in AI search results. This session will provide you with a proven, actionable playbook for boosting your SEO visibility and building the authority you need to succeed in this new era.

Register today to get the playbook for link-building success. Can’t attend live? Don’t worry, sign up anyway, and we’ll send you the full recording.

How To Stay Visible in AI Search [Webinar] via @sejournal, @lorenbaker

AI search is here. Are you ready for the new rules?

The SEO game has changed. Traditional strategies are no longer enough, and some brands are getting lost in the shift to AI-powered search results.

Join Wayne Cichanski on August 20, 2025 for an exclusive webinar sponsored by iQuanti. Learn how to adapt your SEO strategy and site architecture for AI-driven queries and remain competitive in this new search era.

In this session, you’ll discover:

  • Why user experience, schema, and site architecture are now just as important as keywords
  • Practical steps to remain visible and competitive in evolving search results
  • How to position your brand for discovery in AI-driven queries, not just rankings

Why this session is essential:

With generative AI reshaping search results across platforms like Google, Bing, and ChatGPT, it is crucial to rethink how your content is structured and how people interact with your brand in AI search. Do not get left behind. Optimize for AI-driven search now.

Register today for actionable insights and a roadmap to success in the AI search era. If you cannot attend live, do not worry. Sign up anyway and we will send you the full recording.

Building Brand Identity: How To Define Who You Are

Brand identity is the foundation of your business, from the conceptualization of your services and products all the way to marketing.

Before you can create an effective marketing, SEO, content strategy, or even a business strategy, you need to know who you are as a brand. It’s a step many marketers and business leaders overlook, but it’s the one that makes everything else work.

This episode breaks down why identity is the starting point for your business to have impact.

Editor-in-Chief of Search Engine Journal, Katie Morton, sits down with Mordy Oberstein, founder of Unify Brand Marketing, to discuss how to develop a true brand identity so your marketing strategy has something solid to stand on.

Watch the video or read the full transcript below.

Editor’s note: The following transcript has been edited for clarity, brevity, and adherence to our editorial guidelines.

Katie Morton: Hey everybody, it is I, Katie Morton, Editor-in-Chief of Search Engine Journal, and today I’m sitting down with Mordy Oberstein, founder of Unify Brand Marketing. Mordy, talk to me. What’s going on?

Mordy Oberstein: Episode three! It’s a thing now. I can’t believe we’ve made it this far. Counting episodes has become a bit of a challenge, though. We might even be on number four.

Katie: Counting is definitely hard! But let’s dive in.

Why Brand Identity Matters

Mordy: Last time, we talked about brand development and the stages of brand development. The first stage of brand development is developing brand identity. So, for the sake of continuity, which is important for branding, let’s talk about how you develop brand identity this time.

Katie: That sounds fantastic. How does one develop brand identity?

Mordy: Before we get into the “how,” let’s talk about why brand identity is so essential. Identity is the foundation of everything your brand or company does. You can’t create a marketing, SEO, or content strategy without first knowing who you are. Everyone skips this step—but it’s crucial.

Also, identity is the thing that allows your audience to connect to you. There has to be a point of connection for marketing to actually be effective. And people can’t connect unless there’s a “you” to connect with.

How To Build Brand Identity

Mordy: And that, in turn, also gives you a lot of focus where brands generally go off the rails is when they start focusing on the wrong things. It’s usually because of a lack of brand identity. So, how do you actually build identity?

The first thing to understand is that identity is not a fake thing. It’s not some make-believe concept like, “Oh, brand identity, it’s a fabrication.” No, identity is a real, living, breathing thing. And because of that, it has to be tied to what you actually do, what your offering really is. There’s no way to put lipstick on a pig.

The second thing I’ll say, before we dive deeper, is that brand identity has nothing to do with your company culture. If you think, “Oh, our identity is our company culture,” you’re doing it wrong. I know that’s a hot take.

The goal of identity is to create something authentic that your audience can connect with. And it needs to have depth for that connection to happen. To have depth, there has to be almost a therapeutic process that goes on. What you’re basically engaging in therapy for your brand.

Engage In Brand “Therapy”

Mordy: What I do with clients (and what you should do internally with your own team) is tap into who you actually are and what you actually want. It’s a process of asking: Why do you do the things you do?

You need to sit down with your team and have a session where you talk about:

  • Why you do what you do.
  • How you see your industry and niche.
  • How you view your product or service.
  • How you see your space and your audience.
  • What you want for your audience, not just practically, but meaningfully.

It’s not about what your audience gets in a practical sense. It’s about the outcome for their lives in a meaningful way.

During this process, you need to take notes like a therapist. As you’re having these discussions, ask yourself: What’s landing? What’s meaningful about this? What feels like something to chew on? Listen for the things that resonate – both in what you’re saying and what your team is saying.

From Reflection To Action: Formalizing Your Brand Identity

The next step is to formalize all of that into a pathway to showcase it. You take everything you discussed, all these concepts, ideas, and meaningful points, and try to concretize them into one unified (no pun intended) concept for yourself.

This means prioritizing. You can’t focus on everything. You have to take some of the meaningful things you talked about and say, “Okay, this is secondary.” You need to decide which points will be your primary focus.

Once you have a centralized concept of who you are, what you do, and why it’s meaningful and once it’s really clear to you – the next step is execution.

Because communication about who you are isn’t in the tagline on your homepage. It’s the nonverbal stuff. It’s latent. It’s everything you do. All the content you create, the activities you engage in should all signal and speak to who you are.

Integrating Identity Into Marketing Strategy

Mordy: This is where you start integrating all the work you did in those sessions into your actual marketing strategy.

It’s a three-step process:

  1. Sit down and have deep discussions to discover what’s meaningful.
  2. Prioritize: Decide which meaningful things you’re going to focus on.
  3. Integrate: Unify those concepts into your brand actions and strategies.

Does that make sense?

Katie: So no competitive analysis at this stage?

Mordy: I would encourage you not to look at your competitors yet. All you’re trying to do is figure out…take away the idea of brand for a second, take away the company. If someone asks you who you are, you don’t answer by thinking about your competition.

Instead, you ask yourself: What’s really meaningful to me? What do I really want? What do I want people to know? What do I like to focus on? All those kind of questions and you start pulling that out.

Katie: Exactly. Authenticity should naturally help differentiate you. It should, right?

MordyAnd that’s another thing, by the way, which is a great point that you bring up. It’s technically possible that you could find an identity of who you are that’s really meaningful, that has a layer of depth, that’s not the surface-level nonsense that a lot of brands fall into. It can be super clear to you, and it can be difficult to differentiate. It could be the exact same thing as another brand, but that’s a very, very unlikely thing. It’s a technical possibility, but I don’t think it’s an existential possibility.

Katie: That makes sense. If you think of a brand as an individual human, no two humans are alike. So neither should two brands be alike.

Mordy: Exactly. If you’re doing this exercise correctly, you’ll naturally create differentiation. And if you feel like you’re not, it means you haven’t dug deep enough yet.

Brand Identity Guides Real-World Implications

Katie: Full disclosure: We actually went through this brand identity exercise with Mordy at Search Engine Journal. It was extremely helpful, and like you said, it also trickled into real world actions. It’s helping to inform some of our product strategy and other things we’re planning on doing in the real world. This branding exercise is not just empty calories, so to speak.

Mordy: Thanks for saying that. That’s awesome.

If your marketing team isn’t getting traction and feels stuck, it’s often because you’re not tapped into who you actually are. But once you are, you feel very much not stuck. You get clarity: “Here’s where our product should go. We shouldn’t go that way; we should go this way.”

It’s where you see companies go off the rails with AI, for example. They just jump on every AI thing because they don’t know who they are. They don’t have the ability to say, “That’s not us.” Or, “Yes, we should get into AI, but it should be done in a way that reflects who we are.”

This identity work also gives you focus, traction, and momentum when you’re feeling stuck. We talked about this last time: knowing who you are is very important for figuring out who you’re for.

Katie: Right. That’s a good point. So it can help target your audience as well, who do you want to help? The other thing I found it’s motivating just from a work ethic standpoint, if you feel like you’re burned out or you’re spinning your wheels or you don’t know why you do what you do, it gives you sort of a North star to really connect with other human beings, with your customer, who are you trying to serve and why?

What is that intrinsic motivation that helps you get out of bed in the morning?

Mordy: It’s super meaningful. From a practical point of view, when teams or companies talk about needing an “internal vision,” what they really mean is they need an internal identity that can be communicated across teams. That’s what I feel you’re actually trying to say.

Aligning Brand Identity: A Picture Frame Business Example

Mordy: Let me give you a weird example. Let’s say I make picture frames. That’s my business: I sell picture frames.

If your identity is just, “We’re about making cheap picture frames,” that’s not meaningful. But if you start asking why you’re doing this, you might discover something deeper. Maybe you and your team really value cherishing memories. That’s your motivation. So, your product, the frame, is a way to help people cherish their memories by displaying them.

Half my pictures are still on my phone. They are not cherished. Print them, put them in a nice frame, display them, cherish those memories. But if you say you’re all about cherishing memories and then sell flimsy, garbage frames, that would be a misalignment.

Another company might say, “We want to add artistic flair to your pictures.” Their identity is about art and design. Two totally different companies doing totally different things with their brand identity. And it’s based on who they actually are, and their products should align.

Sometimes you’ll combine concepts. Maybe you believe in cherishing memories, but you also feel that an artistic frame enhances that experience. So, your core concept becomes: “We help you cherish memories by giving them artistic design that highlights how special they are.”

So that would be taking two concepts and unifying them together to create one core concept that speaks of both aspects of who you actually are. You can do five different things with this, it all depends on who you are in reality.

Katie: I can imagine, too, that you could build entire product lines from that concept. Maybe you serve different customer segments, or maybe it’s one customer who wants variety.

Mordy: Your whole product line should be informed by that decision. If you’re saying, “Cherishing the memory means giving it a really fancy frame,” then your products need to align with that. Imagine you bought a Monet…you wouldn’t put it in a cheap poster board frame. You’d give it a beautiful frame that reflects its value. Your memories are paintings; your pictures are memories.

Your products need to align. You’d create product lines of artistic frames to match your identity. If your products don’t reflect who you are, then either that’s not your identity, or you need to change your product to match it.

Brand Identity Drives Motivation

Katie: That makes sense. As a painter, so I can relate to this example. When I don’t know why I’m creating, I stop. The times that I am aligned with this exercise of figuring out who I am and who I’m trying to connect with, and the identity behind why I would be a painter, I’m so much more motivated to show up and paint.

Any time I get lost in the grind of the work week, it often makes me not paint, because I have different identities at different times, as we all do as human beings. Sometimes my work identity will take over. If the painter identity is weak or ill-defined, I can literally go years without painting.

So to bring it back to the concrete reality of what we’re talking about, the same happens in business. It’s so easy to get off track because people have so many priorities shoved at them all the time. So it’s really easy for businesses to become idea generators. If you don’t have those north star KPIs rooted in our brand identity, it’s so easy to go chase shiny things.

Mordy: …they’re all over the place. Businesses ask, “Why should I do this? Shouldn’t I focus on conversions, revenue, traffic?” But defining your identity helps you do that. You’ll target the right people with the right message and avoid wasting time and money on products, marketing, or content that don’t align with who you are.

When you’re confused, you try everything. You waste a ton of time, resources, and money. But if you sit down for a few hours, clarify your identity, you’ll know, “We need to do this, and not that.”

Mordy: Also, identity evolves over time, just like people. Your brand, who you are, why you do what you do, it changes. That’s normal. But it always needs to be clear to you.

People are creatures of meaning. If you can’t attach meaning to what you do, your audience won’t be able to connect or resonate. You’ll face an uphill battle trying to convince people to spend money with you. On top of that, your team won’t have buy-in. You, as the owner or CEO, might be motivated, but your team needs something meaningful to connect with.

That’s why it’s critical to communicate your identity across the entire organization. Don’t stop at the C-suite or the marketing team. Start having real conversations about this with every team member.

Quick Note On ICPs And Personas

Katie: I have one last question for you, Mordy. The idea of the ICP, how much does that factor into this particular step? How would you categorize that part of this discussion in terms of the ICP and the brand identity?

Mordy: That’s a hard question, it’s a whole topic in itself. I don’t like profiling like that. I like intent-based marketing over persona-based marketing.

Katie: Not to open a can of worms late in the discussion, but talk to me briefly about intent-based versus profiling.

Mordy: I’m more interested in why people do things than which person does which thing. Generally, when you’re more intent-focused, you open up more opportunities. But when you’re persona-focused, you sometimes end up with blinders on.

That’s not to say there’s no room for persona-based marketing. There is. But going back to your question about the ICP (kind of a hot take) shouldn’t be part of this process until you’ve figured out who you are.

Should your ICP, your Ideal Customer Profile, influence who you actually are? Does it change who you are? Think of it like going on a date. Should who the other person is influence who you are as a person? That’s not a recipe for success. You are who you are.

Of course, we’re all multifaceted people, but fundamentally, you are who you are. And because of that, you decide who you should engage with, whether that’s Customer X or Customer Y. Not the other way around.

Final Thoughts

Katie: Let me just add one thing. Let’s say someone is flexible as a brand or as a dater. Imagine a scenario where someone has aspirations, whether in business or relationships. Someone who’s an inexperienced business owner who wants to target a high-value customer, but doesn’t yet have the experience to offer real value.

In that case, you have two options. One is to accept where you are, get back down into your league, and serve the customers you’re best equipped to serve right now. The other option is to level up. Get educated. Improve yourself. If you’re aiming for a target that’s currently out of your league, there are steps you can take within reason to grow into that.

But that’s a whole other business development conversation. For the purposes of this branding exercise, it’s about authenticity and being realistic. It’s about knowing where you can truly add value. And at the heart of it, it always comes back to: Who are you? Like you said, it ties back to brand development.

Mordy: To kind of end off with a very simple example, again, if you micro-level this, it all becomes much easier to see. Let’s say there are two groups I want to hang out with. Group A likes baseball games. Group B prefers the ballet or symphony. Both groups seem cool, but I love baseball. That’s my thing. So I should hang out with the baseball crowd.

I’m not a fancy person. I don’t enjoy the symphony. If you do, that’s awesome, more power to you. But it’s not me. I’m not going to force myself into that crowd. Instead, I’ll lean into the baseball group. I’ll amplify that aspect of myself. I’ll get the jersey, the gear to show them I’m part of their group. Because I actually am.

I’m not faking it. I’m just trying to amplify what I actually am to show you that’s who I am. That’s the difference. One is you’re faking it in order to show people like, “Oh, here we go, this is who I am.” Not you at all.

The other way is, this is who I am, and I’m going to try to communicate that to you by all the things I’m going to do. And I might purposely and consciously try to do things or signal to you that “I’m part of your group. I fit in. Love me.”

Katie: That’s amazing. And just from a business standpoint, when it comes to SEO and acquiring customers and traffic, it’s so important to focus on your niche. You’re not going to be all things to all people, especially now when AI is answering all the basic questions.

You need to double down on who you are and speak authentically to your niche. Stop trying to appeal to too many people. The days of the open web firehose of traffic are done. So adjust and adapt.

Mordy: If you’re for everyone, you’re for no one.

Katie: Exactly. Alright, Mordy, we’re at time. Thank you so much for sitting down with me today. I’m looking forward to the next one.

For a free consultation with Mordy, head over to unifybrandmarketing.com.

And we’re at searchenginejournal.com for more content and discussions. Mordy is also a contributor at Search Engine Journal, and any final thoughts?

Mordy: Yeah, come check out the free consultation. And check out the SEJ content.

Katie: Awesome. Until next time. Bye.

Mordy: Bye.

More resources: 


Featured Image: Paolo Bobita/Search Engine Journal

6 AI Marketing Myths That Are Costing You Money [Webinar] via @sejournal, @duchessjenm

Stop letting AI drain your budget. Learn how to make it work for you.

Think AI can fully run your marketing strategy on autopilot? 

Or that AI-generated content should deliver instant results? 

It is time to bust the AI myths that are slowing you down and costing you money.

Join Bailey Beckham, Senior Partner Marketing Manager at CallRail, and Jennifer McDonald, Senior Marketing Manager at Search Engine Journal, on August 21, 2025, for an exclusive webinar. Get the insights you need to stop wasting time and money and start leveraging AI the right way.

In this session, you will learn:

Why this session is essential:

AI tools can’t run your strategy on autopilot. You need to make smarter decisions, ask the right questions, and guide your AI tools to work for you, not against you. 

This webinar will help you unlock AI’s full potential and optimize your content to improve your marketing performance.

Register now to learn how to get your content loved by AI, LLMs, and most importantly, your audience. Can’t attend live? Don’t worry, sign up anyway, and we will send you the on-demand recording.

How AI Search Should Be Shaping Your CEO’s & CMO’s Strategy [Webinar] via @sejournal, @theshelleywalsh

AI is rapidly changing the rules of SEO. From generative ranking to vector search, the new rules are not only technical but also reshaping how business leaders make decisions.

Join Dan Taylor on August 14, 2025, for an exclusive SEJ Webinar tailored for C-suite executives and senior leaders. In this session, you’ll gain essential insights to understand and communicate SEO performance in the age of AI.

Here’s what you’ll learn:

AI Search Is Impacting Everything. Are You Ready?

AI search is already here, and it’s impacting everything from SEO KPIs to customer journeys. This webinar will give you the tools to lead your teams through the shift with confidence and precision.

Register now for a business-first perspective on AI search innovation. If you can’t attend live, don’t worry. Sign up anyway, and we’ll send you the full recording.

From B2B & B2C To B2Me: How AI Is Revealing The True Potential Of Individual-Centric Marketing via @sejournal, @purnavirji

A few weeks ago, I fell down a rabbit hole of cottagecore TikTok and Japanese jazz-funk from the ’70s. I didn’t search for it. I didn’t ask for it. But, somehow, my For You Page and Spotify knew. They knew before I did.

That’s the power of what I call B2Me, from broad strokes to a segment of one. And it’s changing everything.

As marketers, we’re moving from static personas to living identity graphs. As audiences, we’ve gone from craving options to craving intuition. We want brands that just get us.

Picture ads that shift based on your inferred mood, product recommendations that feel like they were plucked straight from your subconscious, content around what you were only just thinking about.

We’re marketing to real people in real time. And the brands that get it right, get rewarded with clicks, loyalty, and trust.

Demographics Were Always Broken (AI Just Made It Obvious)

For decades, we, marketers, clung to personas. Those convenient, yet ultimately flawed, cardboard cutouts like “Marketing Mike,” who supposedly loved artisanal everything, skateboarded to work, and breakfasted on avocado toast.

Meanwhile, the real Mike was out buying a motorcycle, years past his skateboarding phase, and loves gas station hotdogs.

“Women aged 25-34 with college degrees who live in New York and work in marketing” tells you nothing about what Natasha actually wants, what she’s struggling with, or what would make her say yes.

For too long, we’ve marketed to people who look like our customers instead of those who act like them.

Even today, many companies claiming “personalized marketing” are still relying on a demographic infrastructure from 2019, if not earlier. It’s a bit like driving forward while looking in the rearview mirror.

Demographics were always stereotypes in a data suit. AI strips that away and sees the person underneath.

That’s the essence of B2Me marketing: connecting with individuals based on observed behavior, not assumed demographics.

Decisions happen in fleeting, emotional moments. AI recognizes intent in real time, often before we do.

When was the last time an algorithm recommended something you didn’t know you wanted, but it was exactly what you wanted? Creepy? Maybe. Useful? Yes.

That’s the emotional layer AI is tapping into. It’s going beyond tracking behavior to interpreting intent. Frustration. Curiosity. Readiness. These are signals. And our job as marketers is to listen when they’re telling us, often without saying a word.

What True B2Me Looks Like

Coca-Cola tested this in Saudi Arabia. Instead of targeting “Millennials,” its AI agent analyzed millions of social posts across platforms like TikTok and LinkedIn, identifying people expressing cravings for fast food.

It then delivered 828,000 personalized coupon ads for discounted Coke products – 20,000 of which were clicked on – all without human intervention.

Overall, it executed roughly 8 million autonomous actions on behalf of its marketing team. That’s behavioral precision at unprecedented scale.

Meanwhile, a project management software company I observed found that its highest-converting customers weren’t the enterprise IT directors its demographic models targeted.

It was mid-level operations managers, the ones actually wrestling with the workflows. They weren’t filling out forms. But, they were driving the deals. The invisible layer of influence was profound.

B2Me strategies create compounding advantages. Each interaction refines AI’s understanding of individual patterns, leading to more precise future targeting. This can translate to:

  • Faster, more accurate intent recognition.
  • Superior message-market fit.
  • Measurably higher conversion rates.
  • Enhanced customer lifetime value.

Why Most “B2Me” Efforts Fail

Because they’re not really B2Me. They’re just demographic micro-segmentation with fancier plumbing.

I watched a SaaS company spend six months building an “AI-powered individual targeting system.” Its big breakthrough? Sending different subject lines to “Marketing Managers” versus “Marketing Directors.”

That’s not B2Me. That’s lipstick on a persona.

True B2Me watches behavior. It asks: What are they doing? What are they feeling? What are they trying to solve? And it zeroes in on the behavioral patterns that predict buying intent.

B2Me thrives on living identity graphs that continuously evolve based on what individuals consume, click, purchase, and how they navigate content.

Salesforce, through its focus on comprehensive customer data within frameworks like Customer 360, enables businesses to leverage behavioral signals, such as rapid tool adoption or shifts in company structure, to identify opportunities for digital transformation and improve targeting effectiveness.

These “digital transformation stress signals” convert significantly higher than demographic targeting, regardless of company size.

3 Ways To Implement B2Me

1. Target Behavior, Not Job Titles

Traditional: “Target CISOs at Fortune 500 companies.”

B2Me: “Target individuals researching security compliance solutions.”

Job titles aren’t always accurate predictors of buying behavior. Your best prospects might not match your ideal customer profile (ICP) on paper, but they’re showing you who they are through their actions.

2. Time Messages To Emotional States

AI’s true power lies in its ability to detect human intent and emotional states.

It can sense things like frustration (rapid scrolling, quick exits), curiosity (deep engagement, repeated visits), and buying readiness (pricing page visits, competitor research). This goes beyond what someone does to how they do it.

HubSpot’s platform and integrations support outreach timing based on behavioral frustration signals such as prospects engaging with content about data migration headaches or sales team bottlenecks.

3. Predict Needs Before Searches

Zoom capitalized on early remote work signals, such as increased interest in collaboration tools, distributed team hiring, and work-from-home content consumption, to scale rapidly during the pandemic

It identified “remote work scaling signals,” i.e., companies actively researching collaboration tools, posting jobs for distributed teams, and consuming work-from-home content.

This foresight allowed it to engage prospects and capture demand before competitors even fully recognized the shift.

Getting Started

1. Map Real Customer Behavior

Begin by auditing your current targeting. Most companies, from my observation, are still operating at 80% demographics, 20% behavior. It’s time to work on inverting that ratio.

Document what your actual best customers do before they buy:

  • What content truly resonates?
  • What questions consistently emerge during sales conversations?
  • What research triggers precede their engagement?
  • What are their preferred engagement channels?

2. Build Behavioral Audiences

Build behavioral audiences using the tools you already have in your search and social platforms.

These platforms are already prioritizing behavioral signals over static demographics, so lean into their capabilities.

Brand Still Wins

AI can distill patterns, but it can’t feel. It segments behavior, but it doesn’t grasp human motivation. It predicts clicks, but it can’t forge connection.

This is where brand is essential. It can serve as a definitive advantage in AI-mediated decisions.

When someone asks an AI assistant for customer relationship management (CRM) recommendations, which brands show up? And more importantly, how are they described?

You’re not just competing for human memory anymore. You’re competing for AI memory. And your brand is the shortcut.

When an AI recommends brands, it’s synthesizing reputation and consistency across thousands of complex touchpoints.

We can’t talk about brand without talking about trust.

We’ve always said “trust matters.” Now, AI exposes what trust really is: the gap between what you can do and what you should do.

Remember that Coca-Cola campaign? Eight million social posts analyzed, 828,000 personalized coupons delivered autonomously. Impressive results … and also a few debates about “surveillance marketing.”

AI exposes where trust was always fragile. Take surge pricing. AI can adjust rates based on your browser history, your device, even your cursor hesitation.

But, when customers notice? “Smart” becomes “sneaky.” Trust evaporates. Remember, trust isn’t a feature you add later. It’s the foundation.

The Right People At The Right Time With The Right Message

B2Me is about fundamentally better understanding your customer. AI can help us see patterns. But, only we can make meaning. Only we can build trust. Only we can decide what matters.

B2Me is empathy at scale, helping you see people, not personas. It empowers you to show up in the moments that matter, even the ones we’ll never see.

B2Me bridges the gap between what’s technically possible and what’s strategically smart.

You don’t need to have it all figured out tomorrow. You just need to start. And start by remembering that the most powerful force in marketing is still a thinking human.

More Resources:


Featured Image: Paulo Bobita/Search Engine Journal