AI is reshaping how brands connect, create, and deliver value. 🤝 Rachel Thornton, Adobe Enterprise CMO, explores how a solid data foundation and a culture of experimentation allow marketing teams to scale personalisation, unlock efficiency, and amplify impact – reshaping the entire marketing value chain for greater agility. https://ow.ly/QfWv30sQPrL #DataDriven #ValueChain

Most teams want AI visibility but skip the hard part. They want Share of Voice without process or structure. They try to automate chaos and expect predictable results. But the best companies don’t rush to tech first. They move through each stage with clarity and intent. Here’s what that looks like: Stage 1: Chaos Disjointed GTM content. Reactive messaging. Siloed enablement assets. Stage 2: Standardization Mapping buyer prompts. Aligning content to platform visibility. Stage 3: Optimization Tracking Share of Voice, sentiment, and brand authority signals. Stage 4: Automation Scaling prompt monitoring and visibility reporting across regions. Stage 5: Innovation Owning the AI shelf before competitors even show up. Roche followed that path with Semrush Enterprise AIO. They didn’t just track what was trending. They built systems around what AI platforms were saying. The impact was clear: 67% Share of Voice in 3 months 1,500+ tracked prompts across 4 AI platforms 97% positive/neutral sentiment, with visibility that compounds This is what operational excellence looks like in 2025. Not dashboards. Not noise. Not fluff. Just execution backed by the right product and the right stages. If you're in Sales or CS, this is your edge. The AI search shelf is already live. Your buyers are already asking. The only question is—are you the answer? → https://shr.bi/16MIUTh4 #SemrushEnterprise

Two days into the week, I paused to listen to how AI touches every corner of sales and marketing. This isn’t about a single tool, but a shift: AI agents helping with outreach, personalizing follow-ups, and surfacing signals from noisy data are becoming trusted teammates. Recent articles from authoritative voices emphasize faster experimentation cycles, smarter segmentation, and a renewed focus on lifecycle value over one-off wins. SaaS vendors are racing to embed explainable AI into workflows, turning insights into actions teams can confidently take. Yet challenges remain: data quality, alignment with human teams, and measuring true impact across channels. My takeaway: start with a clear outcome, then let AI illuminate the path. What AI-driven changes are you prioritizing this quarter? #SalesInnovation #AIinBusiness #B2BSales #MarketingTrends #AIInSales #BusinessGrowth #linkedinsalessolution #Salesassistant

You can call yourself a good marketer if you know the feeling: too many tabs open, too little time. Across industries, teams still spend hours every week gathering numbers, building reports and stitching data from different tools together. Manual tracking might feel like control, but in reality, it slows you down. What could you create, test, or optimize if reporting took minutes, not days? Automation doesn’t replace marketers. It removes the work that keeps them from making better decisions. Less reporting. Smarter insights. Better results. ✨ That’s Automagic marketing. #AutomagicMarketing #MarketingIntelligence #DigitalMarketing #AI #MarketingAnalytics #MarTech #DataDriven

Still figuring out how AI fits into your business? Start here 👇🏽 I put together this downloadable guide for founders and small teams who want to start using AI in their workflows but aren't sure where to begin. You don't need 100 different tools - you just need the right ones. This document presents and explains leading tools across five areas of operations, with real-world examples and use cases. "30+ AI Tools & Platforms to Simplify Your Operations" breaks down some of the best options for getting started with AI-driven automation - from productivity and content creation to marketing, communication, data analytics, and development. It's free to download. Just drop your email in, and you'll be sent straight to the guide. https://lnkd.in/gu5nWVBC Whether you're running a small team, managing clients, or just exploring what AI can do for your business, this is a great place to start. I hope you find it helpful. #ai #automation #workflowautomation #nocode #productivity #businessgrowth #digitaltools

Most GTM teams think they need more data. They do not. They need truer signal. Modern revenue motion is not about capturing every touch. It is about knowing which signals reveal buying intent, influence, and momentum across fragmented identities and journeys. More dashboards will not save you. More CDPs will not save you. More AI prompts will not save you. If your foundation is noise, your AI becomes noise at scale. The shift already underway: • From volume to precision • From tracking to understanding • From workflows to intelligence • From campaigns to identity graphs • From linear models to network truth AI does not reward data volume. AI rewards signal integrity. The next GTM leaders will look less like operators and more like system-level thinkers who can separate signal from noise, not just automate the noise faster. The future of revenue belongs to the teams who see clearly before they scale.

Yesterday I had the opportunity to meet and chat about #aiformarketing, with some marketing peers from Atlanta. Naturally, we talked content and campaigns, but one thread really stuck with me: how AI might help us make sense of the messier parts of our GTM data. Not the dashboards but the unstructured stuff. Feedback. Sales meeting notes. Win/loss comments. Pipeline friction points. The inputs traditional analytics usually gloss over or miss entirely. What stood out was that all of us were grappling with the same issue: We don’t have a clear enough picture of what’s actually happening inside the funnel. We can see outcomes but not always why things are stuck, leaking, or suddenly accelerating. While “AI for content” is almost everywhere (some teams still piloting and some others with more mature AI systems), already helping many marketing teams to produce better content to feed the funnel; there’s way less progress when it comes to using AI to understand what’s happening within the funnel itself. Especially when you’re working with long sales cycles, where small leaks aren’t always obvious until much later. Anyone in my network exploring this? Using AI for funnel diagnostics, unstructured GTM data, or surfacing funnel insights? Curious what’s working, tools, prompts, workflows, automations… anything. #aiformarketing #marketingAI #GTM #revenuemarketing

The AI hype curve in marketing is peaking — and reality is setting in. Every brand wants an AI strategy. Few have the data discipline to make one work. In our latest FBP Insights article, we explore why the next phase of AI in marketing isn’t about tools or prompts — it’s about fixing the data, measurement, and governance foundations that make automation reliable. The winners won’t be the first to deploy AI. They’ll be the first to measure it properly. 👉 Read the full piece: https://lnkd.in/eAC-sxNM Fisher-Brown Partners | Independent insight on marketing, ad-tech, and commercial growth. #MarketingStrategy #AIinMarketing #AdTech #DataGovernance #GrowthStrategy #FBPInsights

Beyond campaigns and KPIs—what truly sets today’s marketing apart? Rahul Nawab and Dawn Zappetti unpack how data and AI aren’t just optimizing tactics but reshaping strategy, enabling predictive insights, and forging customer relationships that endure. Watch their conversation for a forward-looking edge: https://hubs.ly/Q03RBsD10 #AIInMarketing #DataDrivenStrategy #PredictiveAnalytics #CustomerEngagement

In my last post, we talked about identifying the right AI use cases. But once you know what to build, the next big question is — where to build it. In my recent meetings with leaders in San Francisco and Atlanta, one of the most engaging discussions was this - how do you choose an AI platform strategy that balances control, speed, and long-term value?   From my experience, this isn’t just a technology choice. It’s a 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 about strategy, scalability, and where you want to win.   𝐈𝐟 𝐲𝐨𝐮𝐫 𝐠𝐨𝐚𝐥 𝐢𝐬 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐮𝐧𝐢𝐪𝐮𝐞 𝐀𝐈 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: • Choose platforms like 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬or 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 • Gain flexibility, control, and ownership of your IP • Freedom to Shape AI around your business 𝐈𝐟 𝐲𝐨𝐮𝐫 𝐠𝐨𝐚𝐥 𝐢𝐬 𝐭𝐨 𝐦𝐨𝐯𝐞 𝐟𝐚𝐬𝐭 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐞 𝐀𝐈: • Choose platforms like Dataiku or Microsoft Fabric • Quickly connect data, align teams, and deliver outcomes • Achieve impact without months of setup or heavy lift And then there’s the middle path - 𝐛𝐥𝐞𝐧𝐝. Many organizations today combine enterprise-grade platforms for standardization and governance and build selectively where it creates real competitive advantage. It’s the most practical approach we’re seeing across industries today. Before deciding, make sure your AI platform is 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞, 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞, 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝, 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐝.   The right AI platform is more than technology. It’s the foundation that turns 𝐩𝐢𝐥𝐨𝐭𝐬 𝐢𝐧𝐭𝐨 𝐩𝐫𝐨𝐟𝐢𝐭𝐬 and 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐬 𝐢𝐧𝐭𝐨 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐰𝐢𝐝𝐞 𝐢𝐦𝐩𝐚𝐜𝐭. #AIPlatformStrategy #EnterpriseAI #AIDrivenInnovation #DataStrategy #DigitalTransformation