GTM AI Academy

Want a competitive research battlecard prompt for ChatGPT? Repost for friends or save for later. This uses my GRACE prompt framework and skeleton of thought strategy. After putting this prompt in, the AI will ask for your company name and your competitors. From there, it will respond with a breakdown. Here you go: You are a competitor research and marketing expert who is a pro at creating battlecards. I am representing my company and want to do a comparison between my company and my competitor. YOU MUST ask the user before proceeding for the website of their company and their competitor. Take a deep breath, go step by step and be thorough. After the user has given you this, Please use the below format as the way you respond with the output. Access the internet if you need to in order to research the best you can. Here is the format I need back as an example: ***SWOT Analysis*** Strengths, Weaknesses, Opportunities, Threats: Detail these aspects for both [Your Company] and [Competitor Name]. ***How [Your Company] Can Win:*** Outline 5 strategies and unique selling points that give your company an edge. ***Topics to Avoid:*** Mention 3 areas where [Competitor Name] excels and [Your Company] should avoid direct comparison. ***Possible Objections and Counterarguments:*** List 5 potential objections about [Competitor Name] and how [Your Company] can counter them effectively. ***Feature Comparison Chart*** Feature [Competitor Name] [Your Company] Notes/Comments [Feature 1] [Details] [Details] [Anything important to note] [Feature 2] [Details] [Details] [Anything important to note] [Feature 3] [Details] [Details] [Anything important to note] [Feature 4] [Details] [Details] [Anything important to note] [Feature 5] [Details] [Details] [Anything important to note] [Feature 6] [Details] [Details] [Anything important to note] ***Landmines to Lay:*** Point out 4 potential weaknesses or limitations in [Competitor Name]'s offerings compared to [Your Company]. ***Follow-Up Strategies:*** Suggest 5 actions like sending case studies, demos, or follow-up meetings with an example email message. ***Why Choose [Your Company] over the competition in Head to Head Comparison*** Comparison Aspect [Your Company] [Competitor Name] Reason to Choose [Your Company] [Aspect 1] [Details] [Details] [Explanation] [Aspect 2] [Details] [Details] [Explanation] [Aspect 3] [Details] [Details] [Explanation] [Aspect 4] [Details] [Details] [Explanation] [Aspect 5] [Details] [Details] [Explanation] [Aspect 6] [Details] [Details] [Explanation] Want more prompts like this? Follow me or come hang in the GTM AI Academy . I also have a free prompting guide walking you through a few of these. Will post in comments.

🚀 Gartner’s Top 10 Strategic Tech Trends for 2025 Gartner just dropped its top tech trends for 2025, spotlighting where the future is headed. If you want to stay ahead in a shifting landscape, here’s the scoop: 1. Agentic AI 🤖 Autonomous AI systems are here. They can make decisions on their own and take over complex tasks. This means better efficiency and fewer manual processes. There are multiple platforms including OpenAI’s SWARM multi-agent infrastructure making agent creation and products more accessible. If you think AI exploded, just wait.. 2. AI Governance Platforms 🧑⚖️ With AI taking on bigger roles, governance platforms are crucial. They manage compliance, ethics, and transparency, which are non-negotiable in today’s landscape. Look to Nebuly or Liminal in this space. 3. Disinformation Security 🔒 Misinformation is a real threat. Tools that detect and tackle false information are essential to keeping data and communication secure. I just posted yesterday about Google’s watermark, not perfect but closer. 4. Post-Quantum Cryptography 🧠 Quantum computing is advancing fast, putting current cryptographic methods at risk. Post-quantum cryptography is all about future-proofing sensitive data. 5. Ambient Intelligence 🌍 Low-cost sensors are being embedded into environments to collect data and automate processes. But privacy concerns come with the territory. 6. Energy-Efficient Computing 🌱 Sustainability matters. Energy-efficient hardware and software solutions cut down on IT’s carbon footprint and help businesses meet their green goals. 7. Hybrid Computing ⚙️ By blending traditional and emerging tech, hybrid models offer flexibility and performance to tackle complex tasks in dynamic environments. 8. Spatial Computing 🕶️ Augmented and virtual reality are merging the digital and physical worlds. This shift is reshaping experiences from remote collaboration to product interaction. 9. Polyfunctional Robots 🤖 Labor costs are rising. Versatile robots that can handle multiple tasks are the solution, especially in manufacturing and logistics. Tesla and others already experimenting and launching. 10. Neurological Enhancement 🧠💡 Brain-machine interfaces are no longer sci-fi. They’re making strides in education, safety, and performance enhancement. Impact on GTM For GTM leaders, these trends are key to driving growth. Agentic AI improves customer engagement and speeds up sales cycles. AI Governance builds trust through secure and ethical practices. Disinformation Security safeguards your brand’s credibility. Hybrid and Spatial Computing create new channels and ways to connect with customers. Neurological Enhancements elevate training and insights with smarter tools. I’ll add one of my own which is TRUST. The more the digital experience can be cloned or created by AI, the more in person events will come back full swing so people can trust the person in front of them. What do you think?

AI Detection tools suck, but it Google is almost there to solve the issues. A breakthrough, but still complicated. I've been studying AI detection - from both 14-tool study and Google's new watermarking announcement. Here's where we are: Current Detection Tools: - No tool hits above 80% accuracy - Only 5 manage above 70% - Most fail with edited content But Google's new approach is different: - Built-in watermarking at generation - Tested across 20 million responses - Users couldn't tell the difference in quality - Open for other developers to adopt However, the fine print matters: - Google keeps their cryptographic key private - Watermarks can still be "scrubbed"  - Short text is harder to verify - Requires widespread adoption to work For Business Leaders: - Don't rely solely on detection tools yet - Watch for watermarked AI platforms - Consider using watermark-enabled services - But maintain strong content protocols The truth? We're in transition. While watermarking shows promise, it's not a complete solution yet. Your strategy should still focus on: - Clear AI usage guidelines - Process-based safeguards - Team training on ethical AI use - Content creation workflows - Multiple verification layers Don't abandon your content safeguards just because watermarking is coming. Build a foundation that can incorporate these tools as they mature. Curious: Are you planning to adopt watermark-enabled AI tools in your stack? Share below. #AI #BusinessStrategy #ContentStrategy #DigitalTransformation #Innovation

My friends it is TIME for the GTM AI Newsletter and GTM AI Podcast. Brought to you by GTM AI Academy and AI powered GTM. There were literally SO Many updates this week, it was hard to narrow them down. I will probably be releasing an email newsletter that will dive into all the news with summaries for you to deep dive on for GTM professionals specifically. But for today we have: 1️⃣ We have #37 GTM AI Podcast with Eldar Agayev of Hachly diving into AI chatbots, the next generation of website experience that drives sales. 2️⃣ OpenAI SWARM release 3️⃣ Perplexity Spaces Release 4️⃣ NVIDIA LLM Release 5️⃣ GTM AI Tool of the week: Napkin AI

Hot Take: Half of the current sales process will be handled by AI in the future, if not sooner. Had a great chat with Eldar Agayev of Hachly on the GTM AI Podcast all around the topic of AI (obviously) but also dove into things like: • $65K Deal Closed by AI: Imagine landing a high-ticket contract where the only human interaction happens at the final call. Eldar shares how his tech made this a reality for a client. • Sales, Not Just Support: AI chatbots are evolving from customer support tools to core sales drivers, qualifying leads instantly, answering complex questions, and scheduling meetings—without friction. • Chat-First Future: Soon, your website won’t need complex navigation. Visitors will simply ask questions and get instant, personalized answers, eliminating the need for endless browsing.--> This one had me thinking of where we are now and what would need to change as a result. • AI Enhances, Not Replaces: Instead of replacing sales reps, AI is increasing productivity by allowing teams to focus on high-value interactions, while AI handles routine lead nurturing and qualification--> this is key for me, I believe AI will make it so when a human actually talks to a human, it is far advanced in the process and ready for buying since they have the info they need. • Beyond Simple Responses: AI now understands context—whether it’s page content, user history, or specific needs—enabling more meaningful, conversion-focused conversations. Crazy thing is, this sounds futuristic, but its what they are already doing. AI-driven workflows are simplifying the customer journey, delivering faster results, and boosting sales efficiency without increasing complexity. Catch tomorrow’s full episode where we explore how AI will take on even more of the sales process, and what that means for businesses looking to scale fast. #AI #SalesTech #RevenueGrowth #BusinessAutomation #FutureOfSales

🚨 Sales Teams Are Lagging Behind in Generative AI Adoption—Here’s Why That’s a Problem 🚨 The latest data from Salesforce on generative AI adoption is revealing some serious gaps in sales enablement. While marketing teams are diving into AI (51% adoption), sales professionals are falling behind with only 35% experimenting with it. The question is, why? Based on this report, two major challenges are holding sales back: 1️⃣ The Trust Gap: 73% of sales professionals are concerned about security risks with generative AI. And let’s face it, AI models are only as good as the data, prompts, context, etc that they’re fed. But this fear of inaccuracy is stopping teams from fully leveraging its potential. 2️⃣ The Skills Gap: Nearly half (49%) of sales pros feel unprepared to get the most out of generative AI. Only 47% say they actually know how to use AI effectively in their daily workflow. Who usually helps with skill gaps.. hmmmmm 💡 Here’s what needs to change: • Upskill your teams NOW. Enablement should be leading the charge on this, since most teams are SALES enablement, which is turning into AI Enablement, which means you gotta understand it yourself. AI is here to stay, and companies that don’t invest in training their sales teams are going to fall further behind. • Bridge the trust gap. Concerns about security and inaccuracy are valid, but they can’t be barriers. Sales teams need to understand that the real risk is falling behind competitors who are using AI to increase efficiency and improve customer engagement. Generative AI can boost productivity, cut down manual tasks, and increase accuracy in prospecting and follow-ups. But it only works if you trust it and know how to use it. Knowing how to prompt and get amazing results doesn’t have to be hard and doesn’t take long. If you want help with this, comment GUIDE ME in all caps and I’ll send you a link for a free prompting guide based on how to take things to the next level, specifially for teams you may support. Full details in the report—link in the comments. #SalesEnablement #GenerativeAI #SalesLeadership #AIAdoption #GTM #SalesTraining #AIForSales #TrustAndSkills

[🚨BREAKING] Claude 3 Released! Beats GPT-4 on Every Metric Here's what you need to know: Three models: Haiku (basic), Sonnet (balanced), Opus (super smart) Big memory: Can understand huge chunks of text (up to 1 million tokens) Top test scores: Opus wins important AI challenges (MMLU, GPQA, GSM8K) Sonnet is speedy: Twice as fast as older versions Opus is accurate: Makes way fewer mistakes Can understand images: Similar to other leading AI models it's still only February 2024, and the AI race is already heating up!

Otter introduces Meeting GenAI - AI tools for enhancing meeting experiences | TechCrunch • AI Conversation Summary - Provides a concise overview of the meeting - Eliminates the need to read the full transcript • AI Chatbot - Can be queried for details about past meetings recorded with Otter - Example queries: "What did the CMO say?" or "Did they change the launch date?" • AI Chat Within Team Channels - Chatbot functions as a participant within group chats - Users can directly invoke Otter for answers during conversations (e.g., "Hey Otter, what's our revenue?") Otter's Approach and Differentiators • Goals: - Complement or replace AI features from similar services (Microsoft Copilot, Zoom AI Companion, etc.) - Designed for busy professionals in corporate environments • Advantages: - AI analyzes your entire meeting history, not just single meetings - Proactive participation – Otter may chime in with insights based on discussions • Data Security: - Data is cloud-based and secured like other enterprise cloud services - Otter does not use customer data for its AI training (unless users opt-in) • Pricing: - The Meeting GenAI features will be included in both free and paid plans

Microsoft's Shift to Copilot: A New Era in AI - **From Bing to Copilot:** A year after launching an AI-powered Bing, Microsoft is now focusing on Copilot as its main AI brand, moving away from Bing and aiming for broader applications beyond search. - **Super Bowl Spotlight:** Microsoft is launching a Super Bowl ad for Copilot, signaling a major promotional push for the AI companion across mobile platforms. - **AI Integration Across Microsoft:** Over the past year, Microsoft has embedded AI features in Office apps, Windows tools like Paint, and introduced a dedicated AI key for laptops, indicating a pervasive AI strategy. - **Copilot's Evolution:** Initially integrated into various products somewhat disjointedly, Microsoft is now streamlining its approach to offer a unified Copilot experience across its ecosystem. - **New Features and Focus on Creation:** Microsoft is enhancing Copilot with improved user experience, faster performance, and advanced image creation capabilities, responding to user engagement trends. - **Addressing Misuse:** In response to concerns about AI-generated explicit images, Microsoft is tightening safety systems to prevent misuse of its AI image generation tools. - **Broad Usage Applications:** Beyond image creation, Copilot is being used for programming, research, analysis, and predominantly as an advanced search tool. - **Future Vision for Copilot:** Microsoft envisions Copilot evolving into a personal AI assistant that can integrate additional capabilities through subscriptions, aiming for a more personalized AI experience. - **Windows AI Integration:** Microsoft hints at an upcoming Windows refresh focused on AI, including context-aware assistance and local AI model processing, with the goal of making every user a power user. - **Impact and Outlook:** While Bing's AI transformation didn't drastically alter the search market landscape, it laid the groundwork for Microsoft's expansive AI initiatives, with Copilot at the forefront of this new direction. This strategic pivot underscores Microsoft's commitment to embedding AI into its product lineup, enhancing user experience, and fostering creativity and productivity through advanced technology.

15 BIG IDEAS 2024 1. Technological Convergence • AI, blockchain, bio-sequencing, energy tech, & robotics are merging. • Impact: Disruptive innovation could claim 60% of global equity markets by 2030. 2. Artificial Intelligence • AI training becomes massively cheaper – costs dropping 75% annually. • Impact: Redefines work and how we solve global problems. 3. Bitcoin Allocation • Bitcoin gains ground in investment portfolios • Stats: 44% average annual return over the past seven years. 4. Bitcoin in 2023 • Bitcoin shows strength after 2022 setbacks. • Stat: Market cap hit $827 billion in 2023. 5. Smart Contracts • Fueling a new internet-based financial system. • Impact: Potential for $450 billion in fees by 2030. 6. Digital Consumers • Shift towards online entertainment and leisure. • Impact: $23 trillion digital leisure spending potential by 2030. 7. Digital Wallets • Wallets drive two-sided business networks. • Impact: Could boost niche software revenues to $27-$50 billion by 2030. 8. Precision Therapies • More efficient, cost-effective disease treatment. • Impact: $4.5 trillion company value potential by 2030. 9. Multiomic Tools & Technology • Turning biological data into economic opportunity. • Impact: Could cut R&D spending by over 25%. 10. Electric Vehicles • Declining battery costs drive EV boom. • Stat: 74 million EV sales projected by 2030. 11. Robotics • AI hardware + software = highly adaptable robots. • Impact: $24+ trillion global revenue opportunity. 12. Robotaxis • Safe, cheap urban transportation transformation. • Impact: $28 trillion in enterprise value possible by 2030. 13. Autonomous Logistics • Supply chains get smarter, costs go down. • Impact: $900 billion global autonomous delivery revenue by 2030. 14. Reusable Rockets • Space opens for business. • Impact: Satellite connectivity revenue could exceed $130 billion yearly by 2030. 15. 3D Printing • Revolutionizing manufacturing. • Impact: Industry could hit $180 billion by 2030, growing 40% annually. (Source By ark-invest)