Tag: Performance Channel

  • How Forums Are Reclaiming the Web in an AI-Driven World

    How Forums Are Reclaiming the Web in an AI-Driven World

    About a year and a half ago, I penned an article called “The rise of forums: Why Google prefers them and how to adapt” where I advocated for brands to create their own online forums and communities.

    Let’s revisit what’s happened since then.

    Witnessing Reddit’s stock price surge by 177.6% has been astonishing. If you had purchased 100 shares of RDDT back then, you’d be $13,113 wealthier today.

    ```json
{
  "alt": "Stock price summary showing Reddit Inc at 204.98 USD, highlighting a 345.61% increase over the past 5 years.",
  "caption": "Reddit Inc's market performance surges with a 345.61% increase over five years, reaching a trading value of 204.98 USD.",
  "description": "This image displays Reddit Inc's stock summary with a significant increase of 345.61% over the past five years, reaching a current price of 204.98 USD. The chart highlights a notable peak in July 2024 before a steady climb. The graph is set to a 5-year timeline, illustrating a consistent upward trajectory. Important details include an after-hours value of 202.75 USD and previous trading data, offering a comprehensive overview of Reddit's market performance."
}
```

    In June 2025, Semrush’s analysis of 150,000 AI citations revealed Reddit as the leading source, featuring in over 40% of LLM responses.

    Why did this happen? It boils down to the classic law of supply and demand.

    ```json
{
  "alt": "Bar chart displaying top domains cited in LLMs, with Reddit, Wikipedia, and YouTube leading.",
  "caption": "Explore the top domains cited in LLMs like ChatGPT, with Reddit and Wikipedia leading the charge according to a Semrush study.",
  "description": "This image showcases a bar chart of top domains cited by LLMs, including ChatGPT and AI applications. Leading the list is Reddit.com with a 40.11% citation frequency, followed by Wikipedia.org and YouTube.com. The chart ranks domains based on citation frequency from a Semrush study of 150,000 citations conducted in June 2025, highlighting key websites like Facebook, Amazon, and Google."
}
```

    As LLM usage rises, the need for answers has exploded. The likes of ChatGPT and Perplexity want to source answers from their training data and will scour the web if they fall short.

    These tools navigate through engines like Bing and Google to fill the gaps, but often they find few long-tail answers available. So, they resort to Reddit threads, even if they might be penned by novices or trolls. This absence of substantial, long-tail content falls mainly on Google’s shoulders.

    ```json
{
  "alt": "Screenshot of Flarum forum with topics listed and navigation menu on the left.",
  "caption": "Dive into the Flarum community! Explore latest discussions, guidelines, and tips shared by users in this interactive forum interface.",
  "description": "This image shows a screenshot of the Flarum forum interface. On the left, there's a navigation menu with options like 'Tags', 'Support', and 'Extensions'. The main area displays discussions such as 'Flarum 1.0.0 Released' and 'Flarum Community Guidelines' with reply counts and categories marked by colored tags like 'Meta' and 'Extensions'. The header includes links to 'Home', 'Docs', and a search bar, reflecting an organized layout for community interaction."
}
```

    In the relentless chase for top-ranking positions on competitive head terms, even the best SEO professionals fell into the trap of creating echoed content, neglecting the vast opportunities in long-tail searches.

    If your brand has expertise, the long-tail search industry is an open frontier waiting to be claimed.

    Shopify community forum discussing various business topics with a leaderboard of top contributors.
    Engage with Shopify's community forum to explore insightful topics on entrepreneurship, from creating discount codes to starting a business with a brand name.

    User-generated content (UGC) stands out as the best method to capitalize on this, bringing several advantages. It aligns with search intent, remains current, ensures accuracy through expert contributions, builds semantic depth, and preserves a trustworthiness that AI simply can’t replicate.

    This isn’t new; it’s the same E-E-A-T we’ve discussed regarding Google’s preferences for years.

    ```json
{
  "alt": "Online forum interface with questions listed and search bar at the top.",
  "caption": "Explore the dynamic world of online discussions with this forum interface, where questions and answers are just a search away.",
  "description": "This image showcases an online forum interface, labeled 'Hello World,' featuring a main area with a search bar, a list of questions, vote counts, and answer statistics. The sidebar includes navigation options for tags, users, badges, and quick links. Following tags and popular questions are displayed alongside the main content. The design highlights ease of navigation and interaction, essential for collaborative community platforms. Keywords: online forum, questions, interaction, community, search."
}
```

    Yet, brands often hesitate to implement forums due to various objections. Whether it’s the perceived cost, a lack of development resources, past failures, unclear ROI, or the challenges of moderation, each of these roadblocks has a solution.

    Embracing forums can be a masterstroke by using open-source software to create cost-effective, customizable platforms while retaining control over valuable data. Tools like Flarum and Discourse provide robust solutions for fostering discourse and gathering insights, backed by vibrant developer communities for support.

    ```json
{
  "alt": "Question2Answer Q&A webpage with a list of recent questions and answers.",
  "caption": "Dive into the latest inquiries on the Question2Answer platform, where users engage in discussions about themes, development, and more.",
  "description": "The image shows a webpage from the Question2Answer Q&A platform, displaying recent questions and answers. Users can vote, view answer counts, and see question details like tags and views. Navigation options include activity, questions, tags, and a search bar. This interface facilitates community interaction on topics like plugins, themes, and web development."
}
```

    For Q&A platforms, options like Apache Answer and Question2Answer offer potent features to manage and leverage user interactions, ensuring your questions receive clear, expert-consensus solutions.

    The key to a thriving online community is active management, from determining clear community guidelines and detailed post titles to empowering passionate users with responsibilities. My experience launching and moderating successful forums has shown that community-driven moderation scales well compared to centralized control.

    In summary, creating a forum today isn’t just beneficial; it’s becoming essential. It positions your brand at the apex of conversation, enhancing your visibility to both AI and real users. With your expertise leading the charge, you’ll delight customers, solidify your brand’s reputation, and escalate conversions while influencing the very AI systems reshaping our online interactions.


    Inspired by this post on Search Engine Land.

  • Mastering AI Search: Answer Hidden Questions or Disappear

    Mastering AI Search: Answer Hidden Questions or Disappear

    I recently dove into the world of AI search and discovered something crucial: if your brand isn’t competing for rankings, it’s competing for visibility through content reuse. Gone are the days when simply ranking was enough.

    During my visit to SMX Advanced, I shared insights on crafting an AI visibility engine. This system is all about making fresh facts accessible to both humans and AI across platforms that prioritize synthesis.

    ```json
{
  "alt": "Infographic comparing FAQs and FLUQs using an iceberg metaphor with questions for prospective students.",
  "caption": "Explore the deeper questions: FAQs vs. FLUQs. Are you ready to dive beneath the surface?",
  "description": "This infographic illustrates the difference between FAQs (Frequently Asked Questions) and FLUQs (Frequently Left Unquestioned Questions) using an iceberg model. Above the surface, simple FAQ questions like 'How much money?' are highlighted. Below the surface, FLUQs such as 'Will a degree actually result in more income for me?' are shown, indicating deeper considerations for mid-career prospective students. The design features text bubbles and a ship illustration, suggesting a navigation through visible and hidden inquiries. Keywords: FAQs, FLUQs, iceberg, prospective students, deeper questions, education."
}
```

    We’re constructing this capability with our clients and within XOFU, our own LLM visibility GPT. Here’s the essence of our approach.

    ```json
{
  "alt": "Graphic explaining Friction-Inducing Latent Unasked Questions (FLUQs) in customer decision-making.",
  "caption": "Uncover the hidden Friction-Inducing Latent Unasked Questions (FLUQs) that may be blocking your customers' decisions and impacting your outreach success.",
  "description": "This image outlines the concept of Friction-Inducing Latent Unasked Questions (FLUQs), which are hidden questions that can hinder decision-making for your ICPs. It lists three attributes of FLUQs: occurring where customers fail, being hallucination-adjacent, and representing the gap between known and required information for customer benefit. The design is visually structured with a blue background and numbered points for clarity. Keywords: FLUQs, decision-making, customer engagement, ICP."
}
```

    Find the FLUQs: Friction-Inducing Latent Unasked Questions

    ```json
{
  "alt": "FLUQ Resolution Foresight Yield Equation diagram with symbols and meanings.",
  "caption": "Unlock the potential of foresight with the FLUQ Resolution Foresight Yield Equation, a blend of emotional salience, trust persistence, and more.",
  "description": "The image displays the FLUQ Resolution Foresight Yield Equation (FRFY) and its components. At the top, the equation is shown with variables Ψᵣ, Eₛ, V, Tₚ, Aₜ, C, and Fd. Below, a table explains each symbol's meaning. Ψᵣ denotes resolution felt, Eₛ emotional salience, V return visibility, Tₚ trust persistence, Aₜ anticipatory tension, C cognitive cost, and Fd feedback delay. This visualization helps clarify the elements influencing foresight yield, highlighting their importance in strategic contexts."
}
```

    FLUQs are those pivotal questions your audience doesn’t think to ask, yet lacking their answers can entirely disrupt the buying journey.

    ```json
{
  "alt": "Graphic showing pre-commitment phase questions with solutions for stakeholder conflicts.",
  "caption": "Navigating the pre-commitment phase: Address hidden costs and stakeholder fears with the Stakeholder Empathy Mapper.",
  "description": "This graphic outlines the pre-commitment phase focus on identifying hidden costs and stakeholder conflicts. It provides solutions to mitigate unspoken fears that may hinder decision making for mid-career students, emphasizing the use of the Stakeholder Empathy Mapper tool. Keywords: pre-commitment, stakeholder conflicts, empathy mapping, decision making."
}
```

    We scrutinized this with a notable online education client. They had the basics covered but missed addressing the deeper, latent questions that potentially hindered student decisions.

    ```json
{
  "alt": "Graphic titled Echoblocks with text about content formatting for LLM synthesis and survival. Features three points: Concise, Causally Structured, Traceable.",
  "caption": "Discover the essentials of content formatting with Echoblocks: concise, causally structured, and traceable guidelines for effective LLM synthesis.",
  "description": "This image is a graphic titled 'Echoblocks' with instructions on formatting content for large language model (LLM) synthesis and survival. It emphasizes three key elements: making content concise, causally structured, and traceable. The design features a clean, professional layout with blue and white tones, accompanied by a small logo in the bottom right corner. This visual aid is ideal for educators and content creators interested in optimizing their written material for advanced language processing."
}
```

    Tackling these hidden inquiries builds trust and cements their decision-making process, thereby strengthening your brand’s relationship with customers.

    ```json
{
  "alt": "Blue infographic titled 'Emit Your Signal for Reuse' outlines three stages: Controlled, Collaborative, and Emergent, with details on engagement strategies.",
  "caption": "Discover the three stages of engagement: Controlled, Collaborative, and Emergent. This infographic guides you through effective strategies for content reuse and community interaction.",
  "description": "This infographic titled 'Emit Your Signal for Reuse' describes three approaches: Controlled, Collaborative, and Emergent. Each stage highlights different strategies for community engagement and content reuse. The Controlled stage involves websites and social media for direct management. Collaborative focuses on guest posts and public relations. Emergent leverages AI technologies and other resources. The graphic includes technical recommendations for each stage, emphasizing mid-funnel influence and structured answers."
}
```

    Extracting FLUQs from Where They Hide

    ```json
{
  "alt": "Infographic illustrating the concept of tracking results with two main sections: Track What Gets Reused and Track What Happens.",
  "caption": "Discover how tracking both reuse and outcomes can enhance brand visibility and conversion. This infographic breaks down the key elements for effective result tracking.",
  "description": "This infographic presents a method of tracking results, divided into two main categories: 'Track What Gets Reused' and 'Track What Happens.' The left section highlights visibility in AI systems like Gemini and GPT, emphasizing brand mentions, citations, and data extracted into AI responses. The right section focuses on increasing sign-ups, reducing drop-off, and enhancing conversions. The visual is designed with icons and text blocks, set against a light blue background to clearly convey the importance of strategic tracking in improving brand performance."
}
```

    To uncover these unspoken questions, I dive into customer service logs, online forums, and beyond — anywhere there’s repeated friction. It’s about understanding and addressing the points of hesitation that might not appear in initial searches or FAQs.

    ```json
{
  "alt": "Google's advice on LLM visibility with a circular flowchart showing five steps to create non-commoditized content.",
  "caption": "Unlock the secrets of LLM visibility with Google's insights! Learn the five essential steps to crafting unique content that stands out in search results.",
  "description": "This image presents Google's advice on improving LLM visibility through a circular flowchart. Displayed steps include 'Provide Net-New Data/Schema', 'Ground AI Mode in fact', 'Hope for a citation', 'Expect no clicks', and 'Repeat'. At the center is a quote from Danny Sullivan about creating non-commoditized content. The design uses a mix of blue and yellow colors, emphasizing the key message for SEO and content strategy enthusiasts."
}
```

    In today’s AI-driven landscape, this approach isn’t optional. It’s essential.

    ```json
{
  "alt": "Infographic explaining the Content Metabolic Efficiency Index with equations and descriptions.",
  "caption": "Discover the Content Metabolic Efficiency Index: a framework to evaluate the utility and cognitive cost of content fragments using specific formulas.",
  "description": "This infographic illustrates the Content Metabolic Efficiency Index (CMEI), depicting three key components: CMEI, UFQs (Unanswered FLUQ load on ICP), and Answered FLUQs. Each concept is explained with a formula, emphasizing content actional utility vs. symbolic and cognitive cost. Useful for measuring content efficiency, it helps strategists optimize content impact. Key elements include equations and descriptions, designed for efficient content evaluation."
}
```

    Uncover Hidden Insights

    Following this path reveals insights, leading to content that AI can utilize and synthesize effectively. It’s about structuring facts to ensure survival even through AI’s compression processes.

    Proving FLUQs Matter: The Power of Facts

    Turning assumptions into facts requires analysis. For our educational client, we surveyed students and confirmed a crucial insight: those who negotiated expectations upfront had better outcomes.

    This net-new data now serves not just our client but is available for AI models to reference, ensuring longer-lasting visibility.

    Publishing Strategy: Ensuring Reuse by AI

    I prioritize structured, reusable content, whether it’s on owned platforms, in collaboration with others, or in emerging AI environments. The aim is sustainable visibility through facts that can be synthesized accurately.

    To summarize, it’s no longer enough to generate content; the focus is on creating content that stands up to AI scrutiny and remains usable across platforms.


    Inspired by this post on Search Engine Land.

  • ChatGPT Insights: User Statistics and Market Trends for November 2025

    ChatGPT Insights: User Statistics and Market Trends for November 2025

    Last updated: November 7, 2025

    Recently, I delved into analyzing ChatGPT usage statistics, drawing insights from 14 diverse sources as of October 2025. Each source had its own approach to calculating usage data, so I crafted a weighted model to consolidate these insights. This model gave prominence to sources based on longevity, credibility, and accuracy. Applying this model over the past year unveiled intriguing trends in ChatGPT usage.

    I must say, the number of unique users for ChatGPT, both standalone and integrated as Microsoft Copilot, paints a captivating picture. Here’s the data breakdown and a glimpse into the 12-month user trend:

    The user numbers are incredible: 801 million for standalone ChatGPT, 98 million for Microsoft Copilot, and a combined total of 856 million unique users. The sheer volume of visits—5.1 billion for ChatGPT alone and 998 million via Copilot—culminates in an astounding 5.5 billion visits. Moreover, ChatGPT commands a significant portion of the AI search market at 61%, with a total market share of 75.1% when combined with Copilot. Observably, we enjoyed a quarterly user growth rate of 7%, signaling upbeat momentum.

    ```json
{
  "alt": "Line graph depicting ChatGPT market share trend for 2025, varying between 73.60% and 75.10%.",
  "caption": "This graph illustrates the subtle fluctuations in ChatGPT's market share throughout 2025, highlighting a relatively stable trend hovering around 74%.",
  "description": "The image shows a line graph titled 'ChatGPT Market Share: 2025 Trend.' It displays data points from July 2024 to September 2025, with market share percentages ranging from 73.60% to 75.10%. The trend line indicates minor fluctuations over the year, with values mostly staying close to the 74% mark. This graph offers a visual representation of ChatGPT's market stability during the specified period, useful for market analysis and business insights. Keywords: ChatGPT, market share, trend, 2025, graph, stability."
}
```

    Reflecting on ChatGPT’s market share, it remains strong but faces growing competition from other AI chatbots. Despite this, the 12-month progression exhibits consistent growth, which is visually represented and provides a clear narrative of market stability. The graphics demonstrate how the ongoing competition shapes the market landscape.

    In terms of competitor market share, while ChatGPT sustains its leadership, newer players like Claude are making noticeable gains. This shift necessitates continuous innovation to maintain our lead.

    Diving deeper into user behavior, usage trends reveal essential insights. The most frequent use case remains general and academic research, which speaks to ChatGPT’s versatility. Additionally, coding assistance and email composition are gaining traction, offering insight into evolving user needs.

    ```json
{
  "alt": "Bar chart showing market share of ChatGPT and competitors from August 2024 to October 2025.",
  "caption": "A visual comparison of ChatGPT's market dominance alongside competitors ClaudeAI, Perplexity, and Gemini over a 14-month period.",
  "description": "This bar chart illustrates the market share distribution of ChatGPT versus competitors ClaudeAI, Perplexity, and Gemini from August 2024 to October 2025. Each bar represents a month, with distinct colors indicating different platforms: deep blue for ChatGPT, green for Gemini, orange for Perplexity, and red for ClaudeAI. The chart highlights ChatGPT's leading position consistently throughout the period. Useful for understanding AI market trends and competition."
}
```

    From a geographical perspective, it’s fascinating to see how visitor shares are distributed across countries. The US and India lead this segment, highlighting their significant role in patronage, while Brazil, Canada, and others follow suit.

    Interestingly, industries are also shaping up with ChatGPT’s assistance during purchasing processes. Leading sectors include Travel & Hospitality and Retail & CPG, showing the growing dependency on AI in making informed purchase decisions.

    If you’re interested in a detailed pdf version of this report, feel free to reach out here.

    ```json
{
  "alt": "Line chart showing ChatGPT use cases trend over 12 months, with General Research, Academic Research, and others.",
  "caption": "Analyze the evolving landscape of ChatGPT applications over the past year, highlighting diverse use cases from General Research to Marketing Copywriting.",
  "description": "This line chart illustrates the trend of ChatGPT use cases from November 2024 to September 2025. The data tracks seven use cases: General Research, Academic Research, Coding Assistance, Email Composition, Commercial Research, Other, and Marketing Copywriting. General Research consistently leads, while Marketing Copywriting sees a slight increase. The chart uses distinct colors and symbols for each category, providing a clear visual representation of usage trends. Keywords: ChatGPT, use cases, trend, line chart, General Research, Academic Research."
}
```

    For those hungry for related insights, explore our other reads:

    Discover more fascinating data and trends by viewing our sources.


    Inspired by this post on First Page Sage Blog.

  • Harnessing AI: Transforming Marketing for Creativity and Reach

    Harnessing AI: Transforming Marketing for Creativity and Reach

    As a marketer, I’ve found myself grappling with innovation while navigating changing consumer attitudes. It’s almost second nature, given the technological shifts over the past two decades. But predicting the future, especially with modern AI, is challenging due to its unpredictable nature. We can’t simply rely on today’s AI state to foresee where it’ll be in five years or even one year from now. Navigating this platform shift requires a fundamental understanding from the ground up.

    Despite this, certain fundamentals remain constant. Consumers will always seek products, services, and experiences that resonate and fulfill their needs. As marketers, I’ll always pursue quicker, more efficient ways to connect with these consumers. However, the technological landscape mediating these relationships is on the verge of significant change, drastically influencing our work and the customer experiences we provide.

    In the evolving world of marketing, less rote work and more creativity is the name of the game. The history of marketing is one of continuous evolution, but the rise of modern AI pushes even seasoned teams to adapt. For success, I’ve realized the need to embrace new skills, perspectives, and capabilities that allow us to accomplish more with fewer resources.

    The transformation is underway. Embracing AI means I’m spending less time on mundane tasks like manual message creation. Instead, I focus on strategy and creativity, from crafting innovative campaigns to refining testing and optimization strategies. As AI becomes a vital part of the engagement process, it enables me to establish goals and guidelines, empowering AI to operate independently, digesting context, making decisions, and acting on my behalf.

    Currently, that involves training basic AI agents in my brand’s voice for consistent messaging. But as we grow confident in AI’s ability to function autonomously over extended periods and manage complex projects, I look forward to dedicating more time to strategic management of AI resources, enabling greater AI decisioning and optimization.

    The team dynamics in marketing are destined to evolve with AI working alongside humans. As I thrive on collaboration, I recognize that successful customer engagement programs often hinge on the team’s ability to cooperate rather than individual prowess. AI isn’t just a tool; it becomes a direct teammate, offering support across various aspects of customer engagement. Entry-level marketers under my guidance may soon act like managers to autonomous AI subordinates.

    I’m excited at the prospect of deploying a team of AI agents for tasks like personalizing product recommendations, quality assurance of messages, translations, and providing alerts for campaign performance. By augmenting capabilities with these agents, I reduce the workload for myself and my human colleagues while building a digital institutional memory that benefits from accumulated context and goal alignment.

    Looking ahead, AI’s role in customer engagement promises unprecedented personalization. For years, personalizing communication on a 1:1 basis across vast audiences has been the ultimate goal in marketing, but the technology was lacking. With AI decisioning, this dream is becoming a reality, multiplying my marketing effectiveness and creative impact to deliver what consumers desire.

    Previously, reaching out to lapsed customers was a prolonged process. It involved using churn models, product predictions, and extensive A/B testing. While effective to an extent, personalized 1:1 engagement was out of reach. AI decisioning now offers a fresh approach by leveraging reinforcement learning, enabling AI to learn consumer behaviors and optimize key performance indicators autonomously.

    AI can now determine the best product offers for lapsed users, the ideal channels and timings, and even message frequency preferences. This constant background experimentation allows AI to adapt to consumer preference shifts, engaging individuals through first-party data for truly personalized interactions.

    As I witness this platform shift, I understand the importance of not just planning for the obvious but being prepared to respond to unforeseen changes. The real value of AI in customer engagement comes from a deep integration within a solid infrastructure. It’s not simply a shortcut but an amplifier, and our AI tools must be built on a foundation capable of supporting real-time action.

    Curious about how Braze is approaching AI in customer engagement? I invite you to explore our BrazeAIᵀᴹ page.


    Inspired by this post on Search Engine Land.

  • Boost Your Google Ads: Create Effective Investment Strategies

    Boost Your Google Ads: Create Effective Investment Strategies

    Google Ads recently introduced an exciting new feature called the ‘investment strategy’ tool, which has been designed to help advertisers explore potential returns from increased budgets.

    I’ve discovered that when our campaign budgets are limited, Google Ads encourages us to develop these ‘investment strategies.’ This option has been seamlessly integrated into the budget recommendations interface, offering a more dynamic approach to managing ad spend.

    How it works. Every time Google identifies a budget-constrained campaign, it suggests an action: “Grow your account by creating your own Google investment strategy.” By choosing to ‘Create investment strategy,’ I can model budget increases, which allows me to preview potential improvements in conversions, value, or clicks.

    Why we care. This feature is a game-changer, prompting us to think beyond daily spending limits. By using this tool, I can simulate and understand how incremental budget changes might affect our performance, offering insights previously limited to manual or third-party analyses.

    ```json
{
  "alt": "Budget optimization panel with recommended and customizable daily budget options.",
  "caption": "Enhance your campaign's performance by adjusting your budget with these recommendations.",
  "description": "The image showcases a budget optimization panel for a digital advertising campaign. It offers multiple daily budget options, including a recommended choice, alongside projected weekly conversions, cost per conversion, and weekly cost. An arrow highlights advice on creating an investment strategy to maximize budget-limited campaigns. Buttons for creating a strategy and applying changes are visible, indicating user interaction possibilities for better performance management."
}
```

    Through these simulations, I’m able to justify any budget adjustments with solid ROI projections directly from Google Ads.

    The backstory. This innovative feature was highlighted by Hana Kobzová, founder of PPC News Feed, who shared screenshots of the new interface in use.

    The big picture. With this move, Google is steering us toward using more automated, growth-centric budgeting tools, aiming to become a proactive partner rather than merely a service for ad placements.


    Inspired by this post on Search Engine Land.

  • Boost Your Reach: Google PMax Integrates Waze Ads

    Boost Your Reach: Google PMax Integrates Waze Ads

    As an advertiser, I’m excited to announce that Google has expanded the capabilities of Performance Max (PMax) campaigns, allowing me to now connect with drivers through Waze. This update also gives me deeper insights into how my campaigns are performing.

    Google’s recent enhancements make it possible for me to use Waze ad inventory within store goal campaigns and access new channel performance reporting for increased transparency.

    Why this matters to me. With this update, my PMax campaigns targeting store goals can now effortlessly engage drivers in the U.S. through Waze’s “Promoted Places in Navigation” pins. This integration doesn’t require additional setup and optimizes my existing assets for higher store visits or sales. The timing is perfect as we approach the busy holiday travel season, and a worldwide launch is anticipated in 2026.

    ```json
{
  "alt": "Smartphone displaying a navigation app with route and traffic alerts.",
  "caption": "Navigate effortlessly with this intuitive app! Get real-time traffic alerts and route guidance, ensuring a smooth journey.",
  "description": "This image shows a smartphone screen with a navigation app open. The app displays a route highlighted in purple with a turn ahead onto Jefferson Avenue. Various icons indicate traffic conditions, speed limit, and alerts. The map interface includes options for music and microphone input, enhancing the user's experience with interactive features. Keywords: navigation app, smartphone, traffic alerts, route guidance."
}
```

    Enhancements in channel reporting. The updates to PMax campaigns include improved channel performance reporting. This feature enables me to see where my ads are appearing across Google’s network, including Search partners, which will soon be part of the detailed reports and visualizations.

    The significance for me. For a long time, I’ve been seeking greater transparency in PMax’s performance data. These new reporting features show Google’s commitment to making PMax more accountable and transparent, particularly useful for those of us managing multiple accounts through MCC.

    ```json
{
  "alt": "Channel performance chart showing data sources like Maps, Search partners, and YouTube over a 28-day period.",
  "caption": "Explore your channel's performance with a detailed chart tracking data from Maps, Search partners, and YouTube over the past 28 days.",
  "description": "This image displays a channel performance interface, highlighting data sources such as Maps, Search partners, and YouTube. The chart provides visual representation of data flow over the last 28 days, detailed with blue and red segments. Useful for analyzing traffic origins and optimizing channel strategies. Keywords: channel performance, data analysis, Maps, YouTube, Search partners, analytics chart."
}
```

    A bit of context. These updates are part of a series of improvements that were introduced in September, such as bulk reporting, segmentation options, and the ability to download data, all geared towards making PMax easier to scale and analyze.

    The broader perspective. With the integration of Waze and enhanced reporting features, Google is positioning Performance Max as a full-funnel, omnichannel solution. This blend of automation with insightful data helps me drive both online and offline success.


    Inspired by this post on Search Engine Land.

  • Mastering Remote SEO Leadership: Building Effective Teams

    Mastering Remote SEO Leadership: Building Effective Teams

    Remote SEO team

    In my years of managing remote SEO teams, it’s become clear that success relies on the right blend of tools, culture, and leadership practices. Whether you’re steering an agency or leading an in-house team, you can make remote SEO work effectively.

    From my eight years of leading remote SEO teams, I’ve identified ten crucial aspects you must address for sustained success.

    1. Culture

    It’s important to first assess whether you’re part of a remote team or a fully remote company.

    An SEO consulting firm might find it easy to go fully remote, whereas in-house SEO teams in larger companies might not have that flexibility.

    Also, determine if your team culture is remote-first or remote-friendly. In remote-first environments, work is expected to occur virtually, necessitating trust in team members to accomplish their tasks without direct supervision.

    In contrast, remote-friendly implies that remote work is accepted, but some interactions still require in-person meetings.

    Being intentional in these cultural distinctions can help create a positive environment for remote team members.

    Dig deeper: How to build a better remote team at your digital marketing agency

    2. Hiring

    Be upfront about your remote work policy in job descriptions and during interviews. Clarify where your team operates and the implications for daily operations.

    Prospective hires should understand the importance of self-reliance but also know that they will have access to documentation and support channels.

    Inquire about their previous experience with remote work to assess their readiness.

    • Have you worked remotely or for a fully remote company before?
    • If not, what challenges do you anticipate, and how will you handle them?
    • Describe your work office setup.
    • What hours are you most productive?
    • What’s your internet speed, and is it reliable? Can you take video calls?

    3. Training

    Effective training is crucial for setting remote work expectations. Ensure new hires have everything they need to log in from day one and a backup contact for emergencies.

    Create a robust onboarding plan covering tasks and goals from the first week to 90 days, aligning with their current knowledge and developmental needs.

    Keep training resources readily available for independent learning.

    If possible, offer onsite onboarding visits, especially when onboarding multiple new team members.

    Dig deeper: How to set goals for your SEO team

    4. Expectations

    Establish clear expectations around availability and communication response times.

    Encourage group communication to streamline information flow and ensure everyone stays informed.

    Make time zones visible in communications and establish core working hours with overlap where feasible.

    Define boundaries for offline time to establish a professional yet accommodating work environment.

    Model these expectations yourself to promote a healthy work-life balance among the team.

    5. Documentation

    Accessible and comprehensive documentation is vital for remote environments.

    Maintain a well-organized knowledge base, empowering everyone to contribute to its upkeep.

    Start with vital team and resource contact lists, expanding into detailed processes over time.

    Key documentation areas to address include login information, workflow guidelines, and team practices.

    Dig deeper: Why SOPs are the secret weapon for small SEO teams

    6. Tools

    Consistency in tools enhances efficiency. Choose a suite of tools early and ensure everyone is proficient in them.

    Provide necessary resources like multiple browsers and equipment suited to varied tasks.

    Ensure a strong understanding of security practices, VPNs, and necessary tech support protocols.

    Dig deeper: The future of SEO teams is human-led and agent-powered

    7. Collaboration

    Encourage idea-sharing and frequent feedback at all stages of project development.

    Establish a regular meeting and check-in schedule to ensure ongoing alignment and progress review.

    Utilize agile methods to keep the team adaptable and goal-oriented.

    8. Meetings

    Ensure every meeting is purposeful with a shared agenda, considering video options for engagement and time zone impacts.

    Encourage proactive calendar management to streamline scheduling and awareness of team availabilities.

    Dig deeper: 12 strategies to scale your SEO team without losing your culture

    9. Events

    Plan occasional in-person events to strengthen team bonds, mixing structured and free-form activities for a comprehensive experience.

    Consider attending conferences or organizing internal gatherings to foster collaboration and shared learning.

    10. Feedback

    Regular, positive feedback is critical remotely. Use various methods to recognize and reward excellent work.

    Celebrate milestones and lessons learned to foster a culture of continuous improvement.

    Making remote SEO work in the long run

    Building an effective remote SEO team isn’t just about tools; it involves clear expectations, trust, and strategic communication.

    With a solid foundation in place, your team can thrive and achieve results, irrespective of location.


    Inspired by this post on Search Engine Land.

  • Why B2B Brands Embrace AI Over Keywords in 2025

    Why B2B Brands Embrace AI Over Keywords in 2025

    In recent years, I’ve observed a significant shift away from keyword-targeted search campaigns, reaching a pivotal moment this week.

    Two account managers on my team, each from different industry sectors, approached me with a common insight.

    They were considering swapping some keyword campaigns for Performance Max.

    Not impulsively, but selectively, based on months of consistent testing and optimization.

    These thoughtful decisions were backed by data showing Performance Max outperforming traditional keyword methods.

    Are we moving towards an era without keywords? Not entirely.

    However, some accounts are no longer predominantly focused on keywords, signaling a transformative shift.

    Seasoned PPC marketers, who built careers around keyword strategies, now recommend these AI-driven tools. It’s time to take notice.

    Resisting this shift isn’t being cautious—it’s sidestepping growth opportunities.

    Here’s the current scenario:

    • AI Overviews are increasingly visible in search results.
    • Google’s AI Mode is widely adopted.
    • YouTube viewership is rising.
    • User behavior on Google has evolved dramatically from a year ago.

    If user interaction with Google has shifted, shouldn’t our campaign strategies adapt as well?

    While Google has been advancing AI campaigns over the years, 2025 marks a pivotal year where AI strategies have become essential—not optional.

    Advertisers employing Performance Max, Demand Gen, and AI Max are reaping the benefits.

    Meanwhile, others watching from the sidelines see their competitors gaining ground.

    The Holistic Approach Missing in Many Campaigns

    I’ve noticed a pattern: B2B firms overly focused on performance marketing now face brand trust issues.

    Conversely, companies emphasizing only awareness struggle to convert leads.

    The solution? Embrace both sides.

    What I used to call awareness campaigns, I’ve now renamed as brand trust campaigns.

    By being consistently present across platforms, your brand builds trust—showing it matters and solves customer problems.

    Although LinkedIn and Meta dominate brand discussions, Google’s AI-forward Demand Gen campaigns merit attention.

    These campaigns utilize first-party data, engaging like social ads with strong recall.

    When combined with Performance Max, appearing across AI overviews and Google’s ecosystem, you’re investing in a sustainable strategy.

    Dig deeper: Optimizing B2B PPC Spend During Low Budgets and Confidence

    Performance Max Over Traditional Keyword Strategies

    Keywords aren’t obsolete, but exclusively keyword-targeted campaigns are less dominant now.

    In the accounts I mentioned, transitioning away from keyword strategies wasn’t swift—it was strategic.

    Clients initially wanted to promote all services via keywords, but it was too costly.

    We prioritized top services with keywords, testing Performance Max for others.

    The results? Promising enough to secure additional budget.

    After months, the data was clear: Performance Max was a rising star.

    We eventually added top-tier services to complement keyword efforts with PMax.

    Will we eventually drop all keyword campaigns for Performance Max? Possibly.

    However, this isn’t a one-size-fits-all solution.

    Often, combining Performance Max with keyword strategies works best.

    The trend? Performance Max commands more budget, trust, and results.

    AI campaigns expose your brand across search, Google, and YouTube.

    By the time a customer searches for your brand or a high-intent keyword, your campaign is ready, backed by pre-built awareness and trust.

    Dig deeper: Top B2B Paid Media Platforms for Effective Advertising

    AI Max: A Glimpse into the Future

    Google’s AI Max for Search campaigns mark a new evolution stage.

    Early results? Mixed. But that’s expected initially.

    Facing Performance Max’s initial skepticism again, yet AI Max’s location interest targeting is noteworthy.

    These additions hint at Google’s future direction.

    The Cost of Resistance

    I often hear:

    • “I tried Performance Max, it didn’t work.”
    • “Too many irrelevant keywords.”
    • “Not ready to give up control.”

    Change is daunting, and allowing AI to optimize feels like ceding control.

    But every Google product launch faces this resistance, and early adopters who test beyond initial struggles thrive.

    Something that failed six months ago may perform differently now. Performance Max evolves rapidly.

    Dismissal due to outdated tests is akin to refusing a train for last year’s delay.

    Preparing for an AI-Driven Future

    The evolution of user search habits calls for an AI-forward ad strategy.

    Neglecting AI tools now means missing out when competitors have moved ahead.

    Here’s what you can do now:

    • Audit current campaigns: Are you solely using keyword-targeted strategies? Test Performance Max and assess over two months.
    • Invest in brand trust: Use Demand Gen, LinkedIn, or YouTube to build trust and awareness.
    • Create high-quality assets: Compelling videos and images enhance AI campaign success.
    • Embrace a test-and-learn mindset: Allow time for tests to develop, adapting to evolving platforms.
    • See beyond control loss: Use AI as a means to broaden reach and results, with strong content as a foundation.

    Dig deeper: LinkedIn or Google Ads? Choosing Wisely for B2B Success

    AI-Forward Advertisers Own the Future

    The Google Ads ecosystem is moving towards AI-driven campaigns, with concrete account data validating this progression.

    Advertisers who adapt and learn are thriving, while those clinging to outdated methods fall behind.

    No need to overhaul everything at once but start experimenting.

    Challenge the learning curve, expecting the platform to evolve, and your results will follow suit.

    The train has departed. Will you ride early or wait, risking a delayed arrival?

    My team and I are on board, committed to testing, learning, and discovering what’s next, knowing that standing still isn’t an option for success.


    Inspired by this post on Search Engine Land.

  • Revolutionize Ad Management: Google’s AI Transformations

    Revolutionize Ad Management: Google’s AI Transformations

    I’m excited to share that Google is rolling out remarkable updates for Ad Manager, AdSense, and AdMob. These changes aim to help us publishers save time and boost our connections with advertisers, enhancing our monetizing capabilities. With AI and real-time technology at the forefront, this is a huge leap for us.

    AI-driven automation:

    Smarter brand safety: Imagine having an AI tool that learns my unique brand standards and autonomously blocks unwanted ads. This advancement means I can spend less time doing tedious manual reviews.

    Generative AI reporting: Now, I get to ask questions like “Which ad units performed best last week?” and instantly receive tailored performance reports through Ad Manager.

    AI Help guide: This chat tool comes in Ad Manager, AdMob, and AdSense, providing instant onboarding and troubleshooting. It’s a game-changer, especially for those of us with limited support resources.

    Why we care. These updates promise cleaner, safer, and more efficient ad inventory on Google’s platforms. By automating brand safety, the chances of ads appearing next to unsuitable content are significantly reduced. Plus, AI-powered reporting provides faster insights, leading to improved campaign optimization.

    With the innovative live CTV features and Buyer Direct options, advertisers like me gain real-time entry to prime audiences, optimizing media trades with transparency and performance in focus.

    Monetizing live moments. With Google’s new CTV Live-biddable option in Ad Manager, I can capitalize on unpredictable live events — be it sports or award shows — by selling premium inventory programmatically in real time.

    “Google Ad Manager’s live CTV solution allowed us to deliver high-quality streams of the FIFA Club World Cup to millions of fans globally,” remarked Ronan McCarthy, SVP of Media Operations at DAZN.

    Streamlining direct deals. Ad Manager’s new Buyer Direct feature offers a fusion of traditional control and programmatic efficiency, letting me manage cross-publisher frequency, access real-time reports, and enjoy consolidated billing.

    The big picture. By automating ad reviews, reporting, and support, Google frees up time for us publishers to focus on what matters most—our content. Meanwhile, advertisers access consistent, brand-safe, and high-performing inventory across Google’s platforms.


    Inspired by this post on Search Engine Land.

  • Microsoft Enhances Copilot with AI Search and Clickable Citations

    Microsoft Enhances Copilot with AI Search and Clickable Citations

    I recently discovered that Microsoft has introduced an exciting upgrade to Copilot, which now incorporates what they call “the best of AI Search.” According to Microsoft, Copilot’s responses will feature more visible and interactive citations, along with an option to view aggregated sources. They’ve also launched a dedicated search experiment within Copilot.

    Prominent Citations: One of the features I find most intriguing is how Copilot’s responses prominently display citations. Microsoft mentioned that this new experience will not only summarize responses but will also clarify exactly where the information originates, with sources that are relevant, clear, and easy to click on.

    Here’s a video overview:

    Consolidated Lists of Sources: I love how comprehensive the source integration is now. Copilot will show a consolidated list of sources used to generate its response. Just click “Show all” to see the full list of references, including related results, right in the pane next to your query. Copilot ensures that while responding, you have easy access to the sources used.

    ```json
{
  "alt": "Browser window showing Microsoft Copilot AI interface with recommendations for visiting Rome neighborhoods.",
  "caption": "Planning a visit to Rome? Microsoft Copilot suggests the best neighborhoods for access and peaceful stays, highlighting Prati for its refined vibe and safety.",
  "description": "The image displays a browser window with the Microsoft Copilot interface, offering AI-generated recommendations for staying in Rome. Prati is highlighted as an ideal area due to its proximity to the Vatican, upscale vibe, and safety. The left panel shows conversation topics, while the right contains related references from travel websites. This setup aids users in making informed itinerary decisions, enhancing the travel planning experience."
}
```

    Here’s a screenshot of this feature:

    Dedicated Search in Copilot: Microsoft is also offering a dedicated search experience directly in Copilot. To use it, just click the drop-down and select “Search.” This feature adapts to the nature of your query, providing concise answers for straightforward questions and deeper insights for more complex ones.

    Dedicated Navigational Links: I appreciate that there are now dedicated navigation links at the top of responses. This functionality is designed to encourage more clicks to the publisher’s site within this AI search framework.

    ```json
{
  "alt": "Mobile interface showing guidance on replacing a lost passport with links to official resources.",
  "caption": "Need to replace your lost passport? Here's a handy guide directing you to official resources and government websites for all your passport needs.",
  "description": "This mobile screen displays a query about the official site for passport applications, specifically for replacing a lost passport. It includes a response from the U.S. Department of State, linking to the 'Renew or Replace a Passport Homepage,' and offers a breakdown of resources for reporting and replacing lost passports. Highlighted links include the 'Travel.State.gov Passport Portal' and 'USA.gov Passport Help,' providing official and comprehensive resources for travelers."
}
```

    Ecosystem: I appreciate Microsoft’s focus on fostering a healthier ecosystem between publishers and AI platforms. They’ve intentionally designed these updates with content creators in mind, ensuring that cited sources are readily accessible and emphasized within the user experience.

    “We’ve designed these changes to Copilot and the new Search experience within Copilot with publishers and content owners in mind to support a healthy web ecosystem. Cited sources are easily accessible in-line, highlighted prominently at the bottom of the response, and all references are available in the right pane. This allows you to be just a click away from the publisher and content owner sources that were used.”

    Why We Care: I’m really excited about these improvements for publishers within AI Search. It’s encouraging to hear Microsoft committing to the importance of publishers to the success of AI and search technologies, and to see this commitment reflected in the enhanced user experience.

    As for the impact on Bing, Microsoft’s primary search engine, the details remain unclear at the moment.


    Inspired by this post on Search Engine Land.