The Truth About How Companies ACTUALLY Use AI скачать в хорошем качестве

The Truth About How Companies ACTUALLY Use AI

Real workflows, real results, zero hype Topics Covered AI efficiency vs. AI opportunity in modern B2B orgs Use cases across Claude, Gemini, Copilot, and ChatGPT Claude for Excel outperforming native plugins AI-powered brand visibility audits (AIO, GEO) Building MVPs from product demos using Gemini Automating reporting and funnel analysis with ChatGPT & Gemini Custom GPTs for keyword analysis and lead quality reviews AI system design in regulated or high-security environments Framework-based AI prompting for repeatable results Testing rigor and prompt engineering for trustable AI output Questions This Video Helps Answer How can B2B marketing teams use AI to save time and create net-new strategic opportunities? What LLM (Claude, ChatGPT, Gemini, Copilot) is best for specific tasks like Excel, brand analysis, or creative reviews? How do I know if AI-generated reporting is accurate enough to trust? What’s a good prompt structure to consistently get usable output from ChatGPT or Gemini? How can I explain AIO (AI Optimization) visibility and results to executives? Jobs, Roles, and Responsibilities Mentioned Marketing teams Sales teams Finance and accounting departments HR and admin functions Demand gen strategists Operations and supply chain leaders AI consultants and systems integrators Creative and copywriting leads IT and cybersecurity teams Executive and portfolio leadership Key Takeaways AI tools should be evaluated by outcome, not branding—Claude may outperform Copilot in Excel. Reframing workflows to be AI-native rather than AI-assisted unlocks transformational gains. Demand marketers can use LLMs to streamline reporting, extract funnel insights, and improve creative alignment. Framework-driven prompting (like SPEC) helps generate consistent, high-trust outputs. Custom AI workflows (e.g., for lead scoring, brand checks) can scale across clients and teams without deep coding. Generative AI is a tool for internal enablement, not just public content. Timestamps [00:03:32] Busting AI hype—most companies aren’t as advanced as they appear [00:06:09] “Mechanical horses” vs. true AI transformation [00:10:11] Claude plugin in Excel building P&L sheets live [00:17:19] Using LLM APIs to audit brand visibility across GPT, Claude, Gemini [00:24:20] Gemini 3 use case: OSHA compliance video → AI-generated training module [00:33:19] Internal data workflows using ChatGPT and structured prompt specs [00:42:55] Keyword efficiency analysis for Google Ads using Gemini [00:44:47] Creative copy alignment via prompt-based tone and feedback recognition [00:46:14] Lead quality review using a custom GPT with CSV uploads [00:51:10] AI in highly regulated or cybersecurity-sensitive environments Frameworks and Concepts Mentioned SPEC prompt framework (Scope, Purpose, Evaluation, Constraints) AI efficiency vs. AI opportunity LLM “mode” testing: Extended, Standard, Agent Control version testing (manual benchmark → AI validation) On-prem vs. cloud AI deployment Prompt personalization settings _____ Refine Labs is a leading B2B demand marketing agency that has helped over 300 SaaS companies scale with modern digital marketing strategies. Under the leadership of CEO Megan Bowen and Chris Walker Executive Chairman, we develop scalable testing frameworks and innovative approaches to drive efficient, profitable growth. Whether you’re looking to optimize your go-to-market (GTM) strategy or improve marketing execution, Refine Labs delivers data-driven insights and proven results. Subscribe to the Stacking Growth podcast for more: Apple: https://apple.co/3MK6Ozw Spotify: https://spoti.fi/3XrrvVM