Lihong Hicken, CEO and co-founder of Theysaid.io, discusses how AI-powered conversational surveys are transforming sales pipeline generation. With a rich background from intern to CEO, she emphasizes the need for intelligent sales tools. Theysaid.io creates engaging, natural survey experiences that both qualify leads and gather market insights. Key topics include the significance of conversational depth in surveys, the success of customer sentiment tracking, and how AI can turn research into sales opportunities, breaking away from traditional cold-pitching methods.

www.gtmaiacademy.com www.gtmaipodcast.com zerotounicorn.beehive.com www.goa25.com AI Marketing Revolution: Key Takeaways from My Conversation with Tahnee Perry I recently had an eye-opening conversation with Tahnee Perry about transforming marketing with AI, and I want to share not just what we discussed, but how you can actually implement these strategies in your business. Let's dive deep into the practical insights and actionable steps. Tahnee shared her fascinating transition into AI marketing, starting in February 2023 when ChatGPT was gaining momentum. With her extensive background in SaaS marketing and travel industry experience, she spotted an opportunity to help businesses navigate this new terrain. Now at A25 consultancy, she helps companies scale from zero to $25 million using AI-powered strategies. Start with ChatGPT's free version Begin with simple tasks you already do daily Focus on one use case at a time to avoid overwhelm Document your results to build confidence Here's a concrete first-week plan: Set up a ChatGPT account Spend 30 minutes experimenting with basic prompts Choose one repetitive task to automate Test and refine your approach Tahnee's personal tech stack provides a great blueprint for scaling your AI usage: Essential Tools: ChatGPT for core content and strategy Reclaim AI for calendar management Read.ai for meeting analysis and speaking coaching Grammarly Pro for writing enhancement Answer the Public and SEMrush for SEO research For more detailed frameworks and weekly AI marketing tactics, subscribe to my newsletter. I'll send you tested prompts, real examples, and step-by-step guides you can use immediately. Follow Tahnee on LinkedIn for daily AI insights Check out her work at goa25.com Visit her newsletter at zerotounicorn.beehive.com The most crucial lesson from my conversation with Tahnee is this: AI isn't about replacing human expertise - it's about amplifying it. Start small, focus on quality, and always maintain that human touch in your AI-powered marketing efforts. Remember, the key to success isn't just having the tools - it's knowing how to use them strategically. That's exactly what I cover in my newsletter, where I take these high-level insights and turn them into actionable strategies you can implement right away. Background & The AI JourneyPractical Implementation GuideGetting Started with AI (For Beginners)Advanced Workflow IntegrationGame-Changing Use CasesVideo Content Creation FrameworkThe Future of Marketing SearchTwo-Track Content StrategyWant to Go Deeper?Additional ResourcesKey Takeaway

Mark Stouse, CEO of proofanalytics.ai and former HP executive, dives into the transformative power of causal analytics in business decision-making. He discusses how AI amplifies human capabilities, driving exponential growth for top performers. Mark reveals that marketing serves as a performance multiplier, significantly boosting sales effectiveness. He contrasts traditional slow analytics with real-time insights akin to GPS technology, emphasizing that data must be strategically refined to become a valuable asset for future business success.

Amanda Kahlow, CEO and founder of 1Mind, shares her journey from tech advisor to AI innovator. She unveils the transformative concept of AI-Led Growth, a shift from traditional sales strategies. Kahlow stresses the need for strategic thinking over technical knowledge in the evolving job market. AI's role in reshaping sales processes is highlighted, emphasizing empathy in buyer interactions. The conversation also delves into the rise of new roles like AI trainers, underscoring the importance of adapting to an AI-driven landscape.

In this conversation, Shashank Singh, the visionary founder of Kroolo, Katie Wade, the product whiz, and Steven MacNeil, the sales guru, delve into the revolutionary features of their AI-native productivity platform. They reveal how Kroolo can reduce team meetings by 60% and discuss its unique approach to LLMs, making it adaptable and resilient. The trio also tackles AI bias and shares insights into future enhancements, showcasing how their platform stands out in streamlining workflows and enhancing user experience.

www.gtmaiacademy.com  https://www.chatae.ai/ https://www.linkedin.com/in/dustinbeaudoin/   Why I'm Excited About This Conversation Just had a fascinating chat with Dustin, the founder of ChatAE, who's bringing a fresh perspective to AI in sales. What caught my attention immediately was their tagline: "Not another AI SDR." In a space crowded with tools claiming to replace salespeople, Dustin's approach is refreshingly different – focusing on making salespeople better rather than replacing them. Key Takeaways 🎯 The Real Problem ChatAE Solves The heart of what Dustin's building addresses two critical issues I see daily in sales: - Most sales reps aren't using AI effectively in their workflow - Teams are constantly pressured to do more with less resources 💡 Why It's Different Than Just Using ChatGPT This resonated with me deeply as someone who teaches AI to sales teams. While ChatGPT is powerful, most salespeople don't have the time or interest to become prompt engineering experts. ChatAE removes that barrier by pre-configuring the AI to think like an on-demand sales manager, specifically for pre and post-call tasks.  🚀 Impact on Sales Teams What really got me excited was hearing about the results with junior reps. One sales manager reported that ChatAE helped their 6-12 month new AEs perform like much more tenured reps in their call preparation and strategy. This is exactly what good enablement should do – remove barriers while improving performance.  Memorable Quotes from Dustin > "The thing that gets me most excited is how we can help grow C+ AEs into B+ AEs by helping them do these pre and post call activities the right way." > "Our competition is actually Chat GPT – like people paying for Chat GPT pro and creating custom GPTs. But there's both a raw time savings component and a user experience difference with ChatAE." > "We're not trying to be things that already work... focus on the areas they're ignoring, which is these routine administrative tasks and do so in an accessible way." Looking Ahead What struck me most was Dustin's vision of AI becoming like electricity – just part of how software works rather than a standalone feature. This aligns perfectly with my view of where sales enablement is heading: tools should take weight off plates rather than add to them. If you're interested in checking it out, ChatAE is accessible at ChatAE.ai with a free trial and a straightforward $19/month tier with unlimited usage. This kind of accessibility is exactly what the market needs – no complex enterprise rollouts, just practical tools that make sales professionals more effective. This conversation reinforced my belief that the future of sales isn't about replacing humans with AI, but about using AI to make humans better at what they do best – building relationships and closing deals.    

https://www.gtmaiacademy.com/. https://www.aipoweredgtm.com/ https://www.aiworkforcealliance.com/ Summary I sat down with Ashley Gross, an AI strategist who transformed her marketing career by leveraging AI tools to compress a 40-hour workweek into 15 hours. Her journey began with a personal challenge - adapting to motherhood without maternity leave - and evolved into implementing AI solutions across multiple enterprise organizations. What struck me most was her emphasis on using AI to enhance human work rather than replace it. She shared invaluable insights about creating AI-powered content that doesn't feel robotic, building effective automation workflows, and preparing organizations for AI adoption. The conversation revealed practical approaches to AI implementation that focus on solving real business problems rather than just implementing technology for its own sake. Key Highlights - Ashley compressed a 40-hour marketing workweek into 15 hours using AI tools like Jasper - Implemented AI solutions across 11 enterprise contracts after success with initial deployment - Emphasizes using AI to enhance transcripts and human content rather than generating content from scratch - Advocates for thorough vetting of AI tools, requiring API capabilities for true automation - Founded AI Workforce Alliance, offering tiered learning paths from free community access to premium consulting - Stresses the importance of aligning AI implementation with clear business problems and executive buy-in - Discusses the evolution of AI agents and their role in workflow optimization - Highlights the need for proper foundational knowledge before implementing advanced AI solutions Key Quotes from Ashley On AI Content Creation: > "If you are using AI to create content, you are missing the point of generative AI... I take the transcript, and I feed it into Jasper... These are their experiences from their mouths. I'm just rewording it in a way." On Technology Integration: > "I'm really loyal to my tech stack... I have a really thorough vetting process and super high expectations because if I'm going to play around or experiment with any type of tool, it needs to be taking at least two of my tools in my tech stack away or solving a problem that hasn't been solved yet." On Change Management: > "90 percent of AI implementation is communication... These are things that need to be discussed. So it makes me really nervous that there's no slowing, there's no pumping the brakes. We're in this thing." On Value-Based Work: > "When I work with my clients, I'm getting paid on the outcome that I provide because why would you pay me hourly if I can achieve that outcome in less time? And it's more accurate, right?" On Learning AI: > "Nobody is an expert in this space and you not asking questions is only hurting you. And I guarantee you when you ask the question, 10 other people had that same question, they just didn't want to ask."

www.gtmaiacademy.com www.aipoweredgtm.com https://www.hachlyai.com/ AI Chatbots: The Future of Website Sales Conversion Hey everyone, I just had an incredible conversation with Eldar Agayev of Hachly and I've got to tell you, this guy's story and what they're doing with AI chatbots is pretty fascinating. Eldar started coding chatbots at 16 over in Ukraine, building stuff for Counter-Strike of all things. He ended up moving to the UK, got into computer science, and while most people were trying to figure out what to do after graduation, this guy had already built 15 different chatbots with over a million users on Telegram. Now, what really got me excited was how they're completely flipping the script on how we think about website chatbots. Forget those annoying customer service bots we all hate - Hachly is all about driving actual sales. They've built this system that can be up and running in 15 minutes (not kidding) and actually understands what visitors are doing on your website to have real, contextual conversations. The business impact? They just helped an enterprise dev agency land a $65K contract through their chatbot. That's not just answering questions - that's generating real revenue. And here's what's wild - Eldar sees a future where we're not even clicking around websites anymore; we'll just be having conversations with them. Imagine just telling a website what you're looking for instead of hunting through pages of content. This is something I am seeing more of, is augmentation to the buyers journey and this isn't about replacing salespeople. It's about making them more effective by handling all that initial qualification and engagement. Your sales team gets to focus on what they do best - closing deals with qualified prospects - while the AI handles all the early-stage stuff that eats up so much time. We dove deep into some amazing tech stuff too, like how they're thinking about multi-agent frameworks and the future of AI interfaces. Eldar shared a case where they turned 6,000 website visitors into a $50-60K pipeline for one of their clients - all through their chatbot. Whether you're a startup or an enterprise, if you've got a website (and who doesn't?), there's a way to make this work for your business. I've got to tell you, I haven't been this excited about a sales tech innovation in a while. It's not just another tool - it's a completely different way of thinking about how we engage with website visitors and turn them into actual opportunities. - Evolution from building Telegram chatbots to creating an AI-powered sales platform - Focus on sales conversations rather than customer service - 15-minute deployment time without complex setup needed - Use of context-aware AI to understand user intent and website behavior - Success case: $65,000 enterprise contract secured through chatbot - Vision of future website interaction being primarily conversation-based - Multi-agent framework potential for future development - ROI example: 6,000 website visitors generating $50-60,000 pipeline - Emphasis on complementing rather than replacing human sales teams Key Quotes "We ultimately help businesses to generate more sales from their website by engaging every visitor with context-aware messaging... We ultimately make the experience for visitors better." "Being a salesperson in the next 10 years will change... I think we just give you more leads. So there's more things to work with. And we don't actually close deals... but we drive more of these prospects from where they were just browsing the website." "I imagine in 10 or 15 years, we're going to have websites where you have a button at the top right corner, you just click on it and you can actually talk to the website instead of browsing... You can actually talk and ask, okay, I want to find an article about X." "Overall, the cost of software will go down dramatically because of AI... I have AI on every front that helps me optimize my schedule and my time. So yes, I think AI for scheduling more leads and getting you more revenue will help any company of any size."

https://www.gtmaiacademy.com/ https://www.aipoweredgtm.com/ https://www.meetrecord.com/ This podcast episode features a conversation between Coach K and Snehal, the CEO and co-founder of MeetRecord, a company that uses AI to help revenue teams capture insights from sales conversations. Snehal shares his entrepreneurial journey, starting from his college days when he created an internship portal. He then worked on various startups, including one that developed filters for Nokia and Samsung phones, similar to what Snapchat offers today. Snehal explains that MeetRecord, founded in 2022, addresses the challenges faced by distributed or remote sales teams. The company's AI-powered solution captures conversations from various channels (meetings, calls, emails) to automate coaching and identify patterns that lead to faster deal closures. The discussion delves into the technical aspects of MeetRecord's AI implementation. Snehal reveals that they use a combination of OpenAI and Claude models, along with prompt engineering and fine-tuning techniques. He emphasizes the importance of analyzing large datasets (over 3 million call data points) to improve their AI models' accuracy and reduce hallucinations. Snehal describes their process of fine-tuning AI models, which involves manually vetting 1,000 to 2,000 examples of questions and responses from sales calls. This data is then used to train the AI, resulting in more accurate and context-aware responses. The conversation also touches on the challenges of demonstrating ROI to potential customers, especially when traditional metrics might not capture the full value of AI-powered solutions. Snehal explains that they use both quantitative approaches (analyzing time savings and efficiency improvements) and qualitative feedback from users to showcase the benefits of their tool. Looking to the future, Snehal predicts that AI will automate many repetitive and mundane tasks in the sales process but emphasizes that it won't replace human salespeople. Instead, AI will free up time for sales representatives and managers to focus on more strategic and creative aspects of their roles. 2. Bullet point highlights of conversation: - Snehal's entrepreneurial background, including creating an internship portal and working on mobile phone filters - MeetRecord's founding in 2022 to address challenges faced by remote sales teams - Use of AI to capture insights from sales conversations and automate coaching - Implementation of OpenAI and Claude models with prompt engineering and fine-tuning - Process of analyzing over 3 million call data points to improve AI accuracy - Manual vetting of 1,000-2,000 examples for AI model training - Challenges in demonstrating ROI and methods used to showcase value to customers - Prediction that AI will automate mundane tasks but not replace human salespeople - Future direction of MeetRecord, including more automated actions based on conversation context - Importance of providing context to AI for accurate coaching and insights 3. Key quotes from Snehal: "What we do is basically we have got a lot of responses already... We analyze the call transcripts, we figured out what were the questions which were asked by the sales representative. And we also figured out the answers which were detected that actually forms data for our training for fine tuning, but we have a layer where we actually manually skim through at least 1000 to 2000 responses. So while fine tuning, we take a base model, it could be Lama 3.1, it could be HRGPT as well, it could be an open AI model as well. And then we give this set of 2000 responses, questions and responses and queries and responses, and then the model gets fine tuned." "There's a pretty interesting number floating around that sales representative currently spends like 10 percent of their time just pushing things into the CRM and that's a good number of time and more than the time, I think it makes them actually tired and be a little less ineffective when their next calls or next day. And we just want to save their energy, right? So no salesperson want to do a repetitive mundane task, which is very tiresome." "What I feel is any repetitive or let's say mundane tasks that did not involve any creativity, right? And to some extent will be automated with AI. That being said I strongly feel that AI will not replace jobs. So I feel the way we also work as a company is we want to help the salespeople, right? We don't want to replace them because there's substantial creativity involved in actually doing sales. And we understand that we just want to build tools for them, which can automate and take away those, boring mundane tasks." "For example, if sales representative at the end of the call says that, as a next step, let's schedule a call for next Wednesday at 8 p.m. Automatically, we will get that context and we will do it for you, right? We are slowly moving from setting up from actually deriving those actions to actually setting up those on your calendar, on your meeting, generating reports, creating quotation documents and so on. So that automates a few things." These quotes provide more depth and insight into Snehal's thoughts on AI in sales, the company's approach to fine-tuning models, and their vision for automating mundane tasks while preserving the creative aspects of sales work.  

https://www.gtmaiacademy.com In this insightful episode of the GTM and AI podcast, host Jon interviews Taimoor, a fractional RevOps leader and founder of Go-to-Market OS. Taimoor shares his expertise on leveraging AI in revenue operations, particularly focusing on territory building, lead scoring, and process automation. He discusses the shift from growth-at-all-costs to efficient, profitable growth, and how AI tools like ChatGPT and Clay are transforming RevOps workflows. Taimoor provides concrete examples of how he's using AI to streamline tasks that previously took weeks, such as territory planning and lead enrichment. He emphasizes the importance of using AI as a co-pilot in decision-making processes and highlights the potential for RevOps professionals to elevate their strategic role within organizations by embracing these technologies. Highlights: - Taimoor used ChatGPT to reduce territory building time from weeks to days - Implemented an AI-driven lead enrichment process using Clay, replacing manual work done by interns - Created an ICP (Ideal Customer Profile) scoring system using AI and automation - Developed a custom round-robin lead assignment system using Google Sheets and GPT-4 (Claude Instant) - Discussed the potential of AI to elevate the strategic role of RevOps within organizations Key Quotes from Taimoor: "RevOps always get criticized on being a firefighter... but now we can actually elevate ourselves where we don't have to be firefighting all the time." "Anyone who's listening who's like, 'I don't have time for AI because I am just still doing my same firefighting job' - this is the way out. This is the way to elevate and get out of firefighting." "It does not have to be perfect... Look at the existing data that you have in the system and then try to figure out, okay, where do you as long as directionally correct, you need a method to actually score good from bad and help your reps actually prioritize and work on their right leads." Template for Applying the Case Study: 1. Identify time-consuming manual processes in your role 2. Research AI tools that could potentially automate these processes (e.g., ChatGPT, Clay) 3. Start with a simple use case (e.g., data analysis or research) 4. Create prompts or workflows that replicate your manual process 5. Test the AI solution and compare results with manual work 6. Iterate and refine the AI process based on results 7. Gradually expand AI usage to more complex tasks 8. Use time saved to focus on strategic initiatives 9. Share successes with leadership to demonstrate value of AI adoption 10. Continuously learn and experiment with new AI capabilities