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Tag: Performance Channel

  • Revolutionizing Ads: ChatGPT’s Unique Approach to Online Advertising

    Revolutionizing Ads: ChatGPT’s Unique Approach to Online Advertising

    As I’ve been closely following the developments at OpenAI, I’ve found ChatGPT’s potential shift to ads quite intriguing. CEO Sam Altman has indicated that ads might become part of ChatGPT’s framework, but he remains uncertain about their exact form. He’s also not convinced that advertising represents OpenAI’s most significant revenue opportunity.

    During a fascinating interview on Conversations with Tyler, Altman critiqued Google’s ad model:

    • “Ads on a Google search are dependent on Google doing badly. If it was giving you the best answer, there’d be no reason ever to buy an ad above it.
    • “So you’re like – that thing is not quite aligned with me. ChatGPT, maybe it gives you the best answer, maybe it doesn’t, but you’re paying it, or hopefully all are paying it, and it’s at least trying to give you the best answer.”

    His point was clear to me: Google’s profits stem from subpar results. Altman suggests that ChatGPT should earn only when it genuinely gains users’ trust.

    • “If ChatGPT were accepting payment to put a worse hotel above a better hotel, that’s probably catastrophic for your relationship with ChatGPT.”

    Why I care about this is that if Altman’s vision for ChatGPT ads comes true, the entire journey from inquiry to purchase could unfold seamlessly within a single conversation. It’s crucial for brands and businesses to adapt to this new landscape to maintain visibility.

    How Altman envisions ChatGPT Ads is captivating: Display the top recommendation first, and if I choose to book or buy with a single click, OpenAI might earn a small commission without affecting my results.

    • “If ChatGPT shows you its guess – the best hotel, whatever that is – and then if you book it with one click, takes the same cut that it would take from any other hotel, and there’s nothing that influenced it … I think that’s probably OK.
    • “We’ll do that for travel at some point.”

    What he won’t do is allow ChatGPT to have pay-to-play answers. Altman believes that if money influences rankings, the trust users place in ChatGPT will erode.

    • “There’s a kind of ad that I think would be really bad like the one we talked about. There are kinds of ads that I think would be very good – or pretty good – to do. I expect it’s something we’ll try at some point. I do not think it is our biggest revenue opportunity.”

    What an OpenAI ad might look like remains a mystery even to Altman. He relies on his team’s expertise, trusting that they’ll chart the right path.

    • “I’m really good about not doing the things I don’t want to do.
    • “You know, we have the world expert thinking about our product strategy. I used to do that. I used to spend a lot of time thinking about product and now she’s much better at it than me. I have other things to think about. I’m sure she’ll figure it out.”

    Dig deeper. For more insights, check out Sam Altman’s ChatGPT pivot: From ‘I hate ads’ to ‘maybe they don’t suck’

    The interview. Dive into Sam Altman on Trust, Persuasion, and the Future of Intelligence – Live at the Progress Conference

    Inspired by this post on Search Engine Land.

  • Google’s Policy Update: Zero Tolerance for False Advertiser Info

    Google’s Policy Update: Zero Tolerance for False Advertiser Info

    I recently discovered that Google has reaffirmed its stringent rules regarding the accuracy of information submitted during advertiser verification. If anyone tries to bypass these norms, their accounts could face suspension.

    The Details:

    Back in November 2025, Google revised its Circumventing Systems policy, adding a new example to clearly warn us advertisers about these serious consequences. Now, providing false or misleading details during verification is seen as a deliberate attempt to dodge their compliance checks.

    • This violation could lead to the immediate suspension of accounts.

    Why I Care: This policy update underscores Google’s unwavering commitment to combating misinformation in its verification processes. Even the slightest inaccuracy in my account information might lead to a suspension, reflecting Google’s firm stand against misinformation.

    As Google heightens its emphasis on identity verification and transparency, I must ensure all my business information is accurate and verifiable. This diligence is crucial to keep my ad campaigns running smoothly and to maintain my account’s integrity.

    The Bottom Line: It’s essential for me, and for advertisers everywhere, to provide completely accurate and truthful details in all aspects of the verification process. Even a small mistake could trigger enforcement of Google’s enhanced verification policies.

    Inspired by this post on Search Engine Land.

  • Why Relying on AI Prompt Volume Can Be Misleading: A Better Approach

    Why Relying on AI Prompt Volume Can Be Misleading: A Better Approach

    When it comes to AI prompt volume, I’ve learned that blindly relying on it might not be the best strategy. A more sustainable approach is to align your strategy with real business goals.

    Many people fall into the trap of trusting AI metrics without considering their actual business objectives. Instead, we should focus on building a robust Automated Enterprise Optimization (AEO) strategy.

    By doing this, we can ensure our efforts directly contribute to meaningful outcomes, rather than merely generating data for data’s sake.

    Considering this, I’ve realized the importance of setting goals based on substantial business needs, which not only creates genuine value but also supports long-term success.

    Inspired by this post on Conductor Blog.

  • Revolutionizing Marketing: AI Search and the End of Last-Click Attribution

    Revolutionizing Marketing: AI Search and the End of Last-Click Attribution

    I’ve discovered that AI search is dramatically changing how we approach marketing attribution. As zero-click searches become more prevalent, along with the rise of conversational funnels, the traditional last-click models are rapidly becoming outdated.

    In this new landscape, it’s crucial to explore alternative attribution models that can accurately capture the multi-faceted customer journey. Together, we’ll delve into these innovative strategies.

    Inspired by this post on HiGoodie Blog.

  • Unlocking the Power of First AI Queries in SERP Strategy

    Unlocking the Power of First AI Queries in SERP Strategy

    I’ve always been fascinated by how search engine ranking positions impact AI search results, specifically through ChatGPT. What really intrigues me is how the timing of queries can multiply the effects on citations.

    Diving into our study of 420 prompts and 2,867 ChatGPT queries, the data showed that securing the top spot in initial searches can capture a significant 40.2% of citations. In contrast, if you rank number one in subsequent searches, your citation rate plummets to 24.3%—this 1.7× difference is a game-changer for optimization strategies.

    Understanding this, I’ve realized that traditional SEO strategies like simply aiming to rank higher overlook a crucial element. Our findings highlight how gradient compression reduces sensitivity to rank positions by 55% across query sequences, showing that the synergy between search ranking and the timing of queries enhances outcomes rather than merely adding to them.

    This analysis offers an essential, data-driven framework for interpreting the two-dimensional attribution surface, which is reshaping both SEO and AEO strategies in 2025. Exciting times lie ahead for those ready to adapt to these transformative insights.

    Inspired by this post on Try Profound Blog.

  • Mastering AI: Transforming Your Customer Journey

    Mastering AI: Transforming Your Customer Journey

    As someone deeply involved in the digital landscape, I’ve learned that adapting to the ever-evolving AI customer journey is crucial. Recently, I discovered some valuable insights from Acquia’s leadership on how best to tailor content for this new era.

    The integration of AI into our everyday interactions with customers requires a strategic approach to content creation and delivery. By understanding how AI tools process and present our content, we can better position ourselves to meet customer expectations effectively.

    Inspired by this post on Conductor Blog.

  • Elevate Your AI Search Strategy: Expert AEO/GEO Tactics

    Elevate Your AI Search Strategy: Expert AEO/GEO Tactics

    Welcome to an exploration of advanced AEO and GEO strategies, where I dive into expert insights with leading minds at Conductor. Together, we’ll uncover transformative techniques that redefine how we approach search engine optimization in the AI era.

    Expert insights from Conductor experts on all things AEO / GEO and the future of search.

    My journey with AEO/GEO strategies is not just about techniques; it’s about vision. The way we engage with searches is evolving, and harnessing these powerful methods can set us apart. I’m excited to share actionable tips and insights that I’ve gathered.

    Join me in this deep dive. Let’s equip ourselves with the knowledge to master AI visibility and enhance our search optimization efforts with cutting-edge tools and strategies.

    Inspired by this post on Conductor Blog.

  • Unveiling the Top eCommerce GEO/AEO Agencies of 2025

    Unveiling the Top eCommerce GEO/AEO Agencies of 2025

    I’ve delved deep into the bustling world of eCommerce to bring you an insider’s look at the leading GEO/AEO agencies dominating the scene in 2025. Through an extensive analysis carried out between May and October, we’ve scrutinized 48 standout agencies using a proprietary algorithm. Here, I share my findings and insights to spotlight the top 7 agencies that emerged victorious.

    This analysis is powered by key factors weighted to reflect their importance in the current landscape. Let’s explore these:

    • Average Review Score (25%): We aggregated ratings from review platforms like Google, Clutch, and G2, along with client testimonials to reflect quality.
    • AI Visibility Score (20%): Our own metric evaluating client visibility on AI platforms such as ChatGPT and Perplexity.
    • Client Retention Rate (20%): We gauged year-over-year client retention using testimonials, case studies, and LinkedIn mapping.
    • Technical Expertise (15%): This involved assessing team profiles on LinkedIn to measure their eCommerce GEO/AEO skills.
    • Notable eCommerce Clients (10%): We looked at their experience with well-known eCommerce brands and retailers.
    • Industry Recognition Score (10%): Media presence, awards, and peer recognition were key indicators of industry standing.

    I’m excited to share the results below, featuring a detailed table and in-depth agency analyses beneath.

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    The Top eCommerce GEO/AEO Agencies – 2025

    RankCompanyLocationAvg ReviewAI VisibilityRetentionTech ScoreNotable ClientsSpecialty
    1First Page SageSan Francisco, CA4.994%92%4.8Logitech, Rodan + Fields, CPAP.com Lead Gen GEO/AEO
    2Driven MetricsChicago, IL4.889%88%4.6Tesseract Medical, OSEA Malibu,  PedifixROI-Focused GEO
    3GenevateNew York, NY4.791%85%4.7Resmed, Om MushroomsBrand-building through GEO
    4Focus DigitalRaleigh, NC4.687%86%4.5NASCAR, RevoLocal Business GEO
    5eCommerceBoostLondon, UK4.585%83%4.3Sugarlash, Wine JourneyInternational GEO
    6TinuitiNew York, NY4.482%81%4.4Illy caffe, WranglerFull-funnel AEO
    7ShopVisibilityToronto, Canada4.380%79%4.1Shopify, IndigoLocal GEO

    Agency Summaries

    I’ve compiled summaries for each of the agencies that made the cut, offering a detailed peek into their specialties and how they rank online.

    First Page Sage, for lead generation-focused SEO & GEO

    First Page Sage is renowned as the trailblazer of Generative Engine Optimization (GEO), pioneering both the term and methodology reshaping eCommerce strategies today. The agency excels in crafting top-tier content that amplifies lead generation and establishes thought leadership within the eCommerce landscape. Their client roster is impressive, featuring major players like Microsoft and Salesforce, illustrating their scalable strategy success.

    Their expertise in eCommerce GEO is evident, transcending traditional approaches by integrating sophisticated AI visibility strategies. Clients commend the agency for content quality that surpasses what internal teams can achieve, focusing on revenue-generating metrics over mere rankings.

    • Location: San Francisco, CA
    • Year Established: 2009
    • Price Range: $$$
    • Services Offered: Lead Generation, SEO, AIO/GEO, SEM, Web Design
    Summary of Online Reviews
    First Page Sage is “the gold standard for eCommerce GEO” with notable “measurable AI ranking results”; clients appreciate their “data-driven communication” while some mention they “take extra time” to ensure quality.

    Driven Metrics, for analytics & ROI-focused optimization

    Driven Metrics adopts a data-centric approach to eCommerce GEO, zeroing in on ROI and conversion rate optimization. Hailing from Chicago, they have carved a niche by working with fashion and lifestyle brands, offering sophisticated modeling along with superior AI visibility efforts.

    Their main strength is demonstrating clear links between AI visibility and bottom-line metrics, supported by comprehensive performance tracking systems. While highly analytical, their approach might feel overwhelming to smaller businesses seeking simplicity.

    1. Location: Chicago, IL
    2. Year Established: 2017
    3. Price Range: $$$$
    4. Average Review Score: 4.8
    Summary of Online Reviews
    Driven Metrics earns praise for “obsessive focus on ROI” and their “transparent reporting”; clients cherish their “sophisticated analytics” although some find it “intimidating”.

    Inspired by this post on First Page Sage Blog.

  • Top Industries Leveraging Generative AI for Purchases

    Top Industries Leveraging Generative AI for Purchases

    Last updated: October 24, 2025

    I’ve always been fascinated by the impact of technology on consumer behavior. Recently, I took a deep dive into the world of generative AI and its role in guiding purchase decisions. To get a better understanding, I conducted an online survey with 3,161 participants from various industries. Each person shared whether they used generative AI tools when making purchasing choices over the past year. To pinpoint industry trends, I categorized these responses into sectors like healthcare, automotive, retail, travel, home services, and more.

    After collecting the data, I meticulously analyzed how frequently AI is used in each industry for purchasing decisions. By ranking these industries based on the percentage of AI usage, I’ve gained a clearer picture of which sectors are the most influenced by AI-based consumer decisions. To ensure the accuracy of the findings, I made sure to screen responses for consistency and applied statistical weighting to reflect demographic and industry representation more accurately.

    Below, you’ll find the results that answer the question: “Which industries are embracing generative AI for shopping?” For simplicity, I’ve listed only the top 15 industries.

    The Top Industries Using Generative AI in Purchasing Decisions

    #Industry% of Customers Using Generative AI in Purchasing JourneyPurchasing Stage(s)Purchasing Use Case
    1Education61%Discovery, Comparison, ValidationProspective students use chatbots to find the best programs for their specific interests and schedule.
    2Food & Beverage59%Problem Solving, DiscoveryConsumers look up recipes and product recommendations. Food retailers research consumer food trends.
    3Lifestyle, Health & Wellness54%Problem Solving, DiscoveryConsumers seek solutions to improve their health and lifestyle, and are open to product and service recommendations.
    4Travel & Hospitality53%DiscoveryConsumers plan personalized trips with AI-generated itineraries and use chatbots to get quick recommendations for flights and hotels.
    5Retail & CPG49%Problem Solving, Discovery, ComparisonConsumers compare brands, get product recommendations, and seek the right product for their specific needs.
    6Automotive46%ComparisonConsumers often use generative AI to quickly compare vehicles and narrow their search down to 2-3 models. AI sees less used in the more relationship-driven B2B automotive industry.
    7Healthcare44%Problem Solving, DiscoveryConsumers analyze their symptoms in search of a treatment; healthcare orgs research the latest technology to modernize their office or department.
    8Home Services41%Discovery, Comparison, ValidationHome services customers estimate costs and find local HVAC, plumbing, and pest control providers through chatbots.
    9B2B SaaS41%Problem Solving, Discovery, ComparsionDecision makers compare platforms and seek personalized software recommendations for their industry and use case.
    10Advertising & Marketing40%Problem Solving, ValidationMarketing decision-makers ask chatbots questions about which platforms and integrations they need in order to have the martech stack that best suits their organization’s needs.
    11Financial Services40%Problem Solving, ComparisonConsumers and businesses both use generative AI to find and compare financial service providers.
    12Fintech39%Problem Solving, Comparison, ValidationConsumers look for finance apps that suit their lifestyle and needs. Business owners validate existing recommendations and compare tools.
    13Insurance37%Problem Solving, ComparisonBusiness decision makers and consumers research which insurance solution is best for them and attempt to optimize pricing.
    14IT Services35%Problem Solving, Discovery, ComparisonIT services customers seek personalized service recommendations and generate side-by-side vendor comparisons.
    15Real Estate31%Discovery, ComparisonInvestors analyze neighborhoods and crunch numbers in order to make decisions about which properties are worth investing in.

    Purchasing Stages

    Transactionality Stages Scale

    Generative AI’s Financial Impact in 2025

    To assess the financial influence of generative AI on each of the top 15 industries, I estimated the impact by multiplying each industry’s market value by the percentage of customers using AI for purchases:

    #Industry2025 Market Value (USD)Generative AI’s Estimated Financial Impact
    1Travel & Hospitality$9.25 trillion$1.48 trillion
    2Healthcare$10.06 trillion$1.11 trillion
    3Food & Beverage$7.8 trillion$936 billion
    4Retail & CPG$5.94 trillion$891 billion
    5Lifestyle, Health & Wellness$4.2 trillion$546 billion
    6Insurance$5.5 trillion$385 billion
    7Education$6.3 trillion$378 billion
    8Automotive$2.7 trillion$243 billion
    9Real Estate$3.81 trillion$229 billion
    10IT Services$1.2 trillion$156 billion
    11Financial Services$22.5 trillion$135 billion
    12Advertising & Marketing$1.3 trillion$104 billion
    13Home Services$600 billion$66 billion
    14Fintech$310 billion$21.7 billion
    15B2B SaaS$157 billion$12.6 billion

    Further Reading

    If this interested you, consider exploring more on the commercial impact of generative AI and ways to enhance your business’s online visibility by checking out the following reports:

    Requesting a Copy of This Report

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

    • Travel & Hospitality: Encompasses all travel-related services, including hotels and restaurants.
    • Retail & Consumer Packaged Goods (CPG): Includes all retail sales and consumer packaged goods.
    • IT Services: Covers services such as consulting, software development, and system integration.
    • Lifestyle, Health & Wellness: Encompasses products and services related to supplements, nutraceuticals, exercise, mindfulness, etc.
    • Food & Beverage: Includes all food and beverage products and services.
    • Home Services: Covers services such as home maintenance, repair, and improvement.
    • Healthcare: Includes medical services, pharmaceuticals, and healthcare equipment.
    • Automotive: Encompasses vehicle manufacturing, sales, and related services.
    • B2B SaaS: Refers to Business-to-Business Software as a Service.
    • Advertising & Marketing: Includes all advertising and marketing services.
    • Fintech: Covers financial technology products and services.
    • Insurance: Includes all types of insurance services.
    • Real Estate: Encompasses property sales, rentals, and related services.
    • Financial Services: Includes banking, investment, and other financial services.

    Source

    Inspired by this post on First Page Sage Blog.

  • Secrets of Success: Larry Genet on Industrial Real Estate Marketing

    Secrets of Success: Larry Genet on Industrial Real Estate Marketing

    In my conversation with Larry Genet, Vice Chairman at CBRE, we delve into the transformative shifts in digital marketing within the real estate sector.

    As SEO evolves and GEO becomes influential, I’m analyzing the industries most impacted and identifying growth opportunities. Larry Genet, South Florida’s top-rated industrial real estate broker, shares his insights on how digital marketing impacts real estate. Genet leads a premier industrial brokerage team focused on distribution warehouses, manufacturing sites, and industrial leasing across Miami-Dade and Broward County.

    First Page Sage: How have you adopted modern marketing practices for industrial real estate?

    Larry Genet: Our team develops strategies tailored for specific needs of distribution tenants, pharmaceutical facilities, 3PL, and aerospace companies. Using our deep market knowledge of Miami-Dade and Broward, we craft campaigns for everything from small bay warehouses to large bulk distribution facilities. We leverage our expertise in key markets like Fort Lauderdale and Hollywood to reach decision-makers in major companies through effective paid and social media marketing.

    First Page Sage: How do you market industrial warehouse properties differently than traditional commercial real estate?

    Genet: Focusing on functionality, our marketing targets facility managers and operations directors who need industrial assets like manufacturing sites or facilities with specific zoning. We highlight critical features like dock-high doors, LED lighting, and highway access. For pharmaceutical facilities, emphasis is placed on power requirements and FDA certifications, while aerospace facilities are marketed for their proximity to aviation infrastructure.

    First Page Sage: What digital marketing strategies work best for reaching industrial real estate clients in Miami-Dade and Broward County?

    Genet: Targeted LinkedIn campaigns and Google Ads are currently our focus. We use keywords like “industrial warehouse broker Miami” and “distribution warehouse Fort Lauderdale.” By creating content for social media and industry publications, we highlight our expertise and publish market reports to demonstrate authority.

    First Page Sage: How do you see digital visibility shaping the future of industrial real estate marketing?

    Genet: Digital visibility is a game-changer. Today, online presence is essential, from search engines to AI tools. It’s about being part of the conversation when potential clients search for us. Brokers who master digital positioning will hold the advantage as decision-makers rely more on technology for research.

    First Page Sage: What advice do you have for businesses looking to market industrial real estate services?

    Genet: Focus on data-driven marketing that addresses specific needs like dock-high doors and zoning classifications. Relationship marketing through industry associations is crucial. Businesses should demonstrate expertise and results with large tenants to succeed.

    Source

    Inspired by this post on First Page Sage Blog.