Artificially Intelligent Marketing

What actually matters now in AI for marketers—beyond the hype. Paul and Martin unpack the week’s launches from Anthropic and Google, new Microsoft–Claude tie-ins, and the UK government’s civil-service AI literacy push. They also tackle the practical question: should you chase “AI SEO” today, or double-down on timeless content and distribution?Top takeaways• AI visibility ≠ old SEO. Generative search is highly personalised; “rank tracking” for LLM answers is shaky. Invest in high-quality, well-structured content and robust distribution over gimmicky “get featured in ChatGPT” checklists.• Anthropic’s direction: Haiku 4.5 offers fast, low-cost coding and general tasks; Claude Skills hint at SOP-driven, tool-aware assistants and a future marketplace.• Enterprise shift: Claude is deepening its Microsoft 365 integration (SharePoint, Outlook, OneDrive, Teams), making business context more accessible to assistants.• Video creation reality: Google’s Veo 3.1 and Flow expand control (reference frames, storyboard timelines). Quality still depends on human editing judgement—AI is an ingredient, not the whole recipe.• AI Studio cleanup: Google has unified its playground and simplified keys/settings, making it easier for newcomers to explore models and tune temperature/controls.• Public sector skills: The UK’s “One Big Thing: AI for All” aims to boost civil-service confidence via short modules and department case studies—baseline literacy first, then role-specific adoption.• Training that sticks: Start with common foundations (what LLMs are/aren’t), then move to function-level workflows. Create “champion” groups and a light governance rhythm so updates translate into process change.Chapters00:00 Harrison recap; AI in sales needs thoughtful application, not blind scale.03:00 Brand presence in LLM answers: content + distribution over hacks.10:00 Why LLM personalisation breaks classic rank tracking.15:00 Anthropic: Haiku 4.5 and Claude Skills; SOPs for agentic work.21:00 Claude ↔ Microsoft 365: the enterprise context advantage.25:00 Google Veo 3.1 & Flow: creative control vs. “one-click” video.34:00 Google AI Studio: unified playground; why marketers should tune temperature.38:00 “Zero-to-magic” tease; what a no-code app path might mean.40:00 UK “One Big Thing—AI for All”: literacy at scale; early gov use cases.42:00 Good AI training design: baseline, then function-specific change.55:00 Reality check: useful today, but still needs steering and review.Practical guidance• If you’re a marketer: Treat AI outputs as drafts. Edit for voice, accuracy, and distinctiveness. Measure distribution as much as production speed.• If you’re a leader: Provide one sanctioned assistant (Copilot/Gemini/Claude), set guardrails, and fund a small “AI council” to turn releases into workflow changes.• If you’re experimenting with video: Use Flow (or your editor) to storyboard, trim, and mix assets. Don’t ship raw generations.Mentioned in this episode• Anthropic: Haiku 4.5; Claude Skills; Microsoft 365 integrations• Google: Veo 3.1; Flow storyboard editor; AI Studio updates• UK Government: “One Big Thing 2025—AI for All” initiative• Discussion: training that works vs. one-and-done workshopsSubscribe & follow:New episodes weekly. Share your questions or use-cases for a chance to be featured.

🎙️ Artificially Intelligent Marketing: Episode 47 – Harrison Wade on “Why AI is NOT the Easy Button”Welcome back to Artificially Intelligent Marketing! In this episode, Paul Avery is joined by special guest Harrison Waid, co-founder of Succession. Harrison brings hands-on experience from the life sciences sector, revealing how his team is redefining sales and marketing through AI innovation.From Business to Science Harrison shares his journey from software sales to leading go-to-market strategies for life science firms—where tools common in SaaS are still a rarity. He explains how this gap creates both challenge and opportunity for innovation.AI in Sales Enablement & Marketing Discover why sales teams often lag behind marketing in tech adoption, and why tech-fluent, AI-first team members are essential for orchestrating automated workflows that actually deliver results.What Works—and What Doesn’t Harrison details how his team uses robust context, training, and tools like Clay to supercharge outreach—highlighting the danger of treating AI like an “easy button.” A 27-page context document? Essential, not overkill.Real AI Workflows, Not Magic Forget AGI hype—this episode is packed with practical advice on using AI for prospect research, workflow automation, and creative outreach. Think personalised videos, Suno-generated songs, and campaigns that cut through the noise.Building the Future: Micro-Apps & Vibe Coding Paul and Harrison explore how tools like Replit and Lovable let marketers build lead magnets and custom web apps without coding skills—ushering in a new era of “vibe coding.”Human Creativity Still Wins AI can scale output, but human creativity drives connection. Harrison argues that empathy, emotion, and storytelling remain the ultimate differentiators in AI-driven marketing.Arms Race or Open Water? Will personalised AI content saturate the market? Harrison says no—most teams lack the expertise or drive to execute at scale. There’s still huge opportunity for those willing to experiment.Actionable AdviceIf you love tinkering, start small and iterate.If you want results, partner with builders who do.For life sciences growth, Succession Bio can help scale your top-of-funnel efforts.Key TakeawaysAI isn’t the easy button—human creativity and context win.Automation is messy—curiosity and patience pay off.Personalisation breaks through—even songs can sell.The emerging “conductor” role is key: orchestrating tools to outcomes.Connect & Challenge Want to stand out? Combine creativity and AI—send us a Suno-generated song about this episode using the YouTube transcript!Contact For top-of-funnel support or AI workflow advice, reach out to Harrison at Succession Bio.Subscribe to Artificially Intelligent Marketing for stories, workflows, and insights on AI in marketing—new episodes every week.

In this episode of Artificially Intelligent Marketing, Martin Broadhurst and Paul Avery reunite to explore how AI has transformed marketing over the past 18 months. They cover reasoning models, agentic automation, Microsoft Copilot’s evolution, open vs closed-source AI, and the rise of AI-powered hardware—sharing real-world insights and examples from their work.Major Evolutions in AI for MarketersReflection on the rapid progress of AI tools and modelsOverview of major shifts since the last episodeHow marketers are adapting to new AI capabilitiesAI Reasoning ModelsDifference between chain-of-thought prompting and modern reasoning modelsImprovements in accuracy and reduced hallucinationsTrade-offs between speed and reasoning depthGroq CEO’s insights on the value of ultra-fast inferenceAI Tools Adoption and Platform MaturityMicrosoft Copilot’s leap from basic to highly capableKey tools: Researcher agent, Analyst tool, and Copilot StudioIntegration across Microsoft 365 (SharePoint, OneDrive, Teams)Comparisons with Google and OpenAI’s platformsOngoing confusion over pricing and valueModel Selection: The “Model Roundabout”Recent advances in GPT, Claude, Gemini, and open-source modelsBalancing reasoning and instant modesCommon use cases: coding, summarisation, planning, and copywritingQuirks such as GPT-5’s writing tone and output styleTips for reducing hallucinations and improving reliabilityOpen vs Closed Source AI DebateRise and stall of open models like DeepSeek and Llama 4Meta’s shift from open development to proprietary AGIOpen source’s future in experimentation rather than frontier innovationMarket consolidation, privacy, and trust concernsAI-Integrated Hardware and the Attention EconomyGrowth of wearable AI, e.g. Meta’s Ray-Ban smart glassesPrivacy and social implications of constant recordingAdoption driven by convenience and content habitsMeta’s competing aims: productivity vs attention monetisationAgentic Progress: AI Agents and Automation“Agentic AI” explained: systems acting autonomously to complete goalsFrom document retrieval to full workflow automationTools like Make.com, Zapier, and N8N enabling marketersClaude Code as an advanced example of self-directed agentsUse cases: automated slide decks, proposals, and scheduled reportingMCP (Model Context Protocol) ConnectorsOverview of MCP for connecting LLMs to CRMs and cloud toolsMartin’s experience linking Claude to HubSpot and Google WorkspaceExamples of AI updating pipelines and deal notes automaticallyBenefits balanced against setup complexityCurrent State of AI for MarketersHonest look at AI-generated content and “work slop”AI as a speed and productivity enhancer, not a replacement for expertsAdvances in visual and video generation:Faster, more consistent imagery (Midjourney, DALL·E 3, Nano Banana)Real-world use in proposals, events, and social mediaEmerging video models (Veo 3, Sora 2, Kling) offering realism and soundReflection on low-quality AI output and the lasting importance of trusted brands

Podcast discusses AI's limitations in data analysis, Google's AI search summaries, Anthropic's new features, OpenAI releasing GPT-4, ElevenLabs' sound effects tool, and Showrunner for AI-generated TV shows. Covering job impact, universal basic income, and AI advancements.

Explore OpenAI's GPT-4o and its capabilities in text, audio, and video processing. Dive into the advancements in AI technology with models like Claude 3 Opus and GPT-40. Learn about data analysis enhancements in ChatGPT and the evolution of AI applications. Unleash the power of AI in various applications like Google Gemini and delve into efficient meeting documentation practices. Discover the potential of AI in customer service and image generation tasks

ElevenLabs Launches AI Sound Effect GeneratorElevenLabs expands its AI technology to generate realistic sound effects from text prompts. The tool excels at natural and atmospheric sounds but has limitations with electronic noises. While not perfect, it represents a significant advancement in AI-generated audio for immersive digital content.Midjourney Introduces Consistent Characters FeatureMidjourney's new feature allows users to maintain character consistency across multiple AI-generated images. By referencing an original character image, the AI can generate variations with adjustable resemblance. This advancement opens new possibilities for visual storytelling and marketing campaigns, but raises ethical and copyright concerns.EU Passes Groundbreaking AI ActThe European Parliament has passed the AI Act, the world's first comprehensive AI regulation. It categorizes AI products by risk level, promoting responsible AI development and use. The act emphasizes compliance, ethics, and transparency, reshaping the regulatory landscape for marketing professionals.Anthropic Launches Fast and Affordable Claude 3 Haiku APIAnthropic's Claude 3 Haiku model offers high-speed processing and cost-effectiveness for enterprise AI workloads. It can analyze large volumes of text and images at a fraction of the cost of competitors. The model's affordability and performance make it a significant advancement for AI capabilities.Sam Altman Predicts AI Will Take Over 95% of Marketing Agency TasksOpenAI CEO Sam Altman forecasts that AGI will handle most tasks currently done by marketing agencies and creative professionals within five years. While AI integration in marketing is already underway, this prediction raises concerns about job security, data privacy, and intellectual property.IBM Announces Layoffs in Communications and Marketing DivisionsIBM initiates layoffs in its communications and marketing staff as part of a workforce rebalancing effort. The company focuses on high-demand areas like AI and hybrid cloud technologies. These layoffs highlight the growing impact of AI on marketing and the need for professionals to adapt to emerging technologies.Meta's Significant Investment in GenAI InfrastructureMeta takes a leap in AI with its GenAI infrastructure, powered by cutting-edge NVIDIA GPUs. The company plans a substantial expansion, aiming for 600,000 GPU units by 2024. This investment signals a transformative shift in AI capabilities and highlights the importance of leveraging advanced technology for market differentiation.Devin: The First Autonomous AI Software EngineerDevin, developed by Cognition, is an AI designed to handle complex software engineering tasks autonomously. While not perfect, Devin's performance on coding benchmarks marks a significant improvement over previous models.Figure and OpenAI Collaborate on AI-Powered Humanoid RobotsFigure partners with OpenAI to enhance its humanoid robots with advanced AI models. The robots demonstrate autonomous task completion in controlled environments.

The podcast discusses the launch of Claude 3 as a potential GPT-4 killer, Mistral's latest language model, Jasper's acquisition of Clipdrop, GPT-4 struggles in testing, Microsoft's Copilot for Finance, Adobe's music AI project, Perplexity's AI news podcast, Klarna's AI chatbot for customer support, and Anthropic's diverse prompt library showcasing AI capabilities.

The podcast discusses Google's Gemini 1.5 Pro update, showcasing its long-context understanding and ethics testing. OpenAI's Sora transforms text into video scenes, promising creative storytelling potential. Stability AI introduces Stable Cascade, a text-to-image model refining image generation. The podcast also touches on Amazon's emergent speech AI advancements and the convergence of AI technologies.

Welcome back to Artificially Intelligent Marketing! Join Martin Broadhurst and Paul Avery as they unpack the latest AI marvels and marketing insights.Microsoft Copilot's Bold Leap Forward Microsoft elevates Copilot with cutting-edge AI image editing and intuitive design features, targeting an improved user experience. The highlight? Designer for Copilot, enhancing creativity with DALL-E 3. Learn more.MGIE: Apple and UC Santa Barbara's AI Venture Apple and UC Santa Barbara's MGIE model opens new doors for image editing, making professional tweaks a chat away. An open-source breakthrough for creative freedom. Details here.Google's Gemini Ultra: A New Challenger Google's Gemini Ultra, formerly Bard, takes on GPT-4, showcasing unique strengths in content creation and integration. Martin shares insights from his hands-on experience. Explore Gemini Ultra.Cisco Unravels AI Readiness Index Cisco's global survey reveals a gap in AI readiness among companies, despite high anticipation for its impact. Strategy, infrastructure, and talent are key. Full report.EU's Pioneering AI Regulation The EU's Artificial Intelligence Act sets a global standard for AI governance, emphasizing ethical use and transparency. A significant move for digital oversight. Read more.Tool-of-the-Week: Claude for Sheets Revolutionize your Google Sheets with Claude for Sheets, offering seamless AI integration for data analysis and content creation. Discover how.Engage with us on Twitter and Facebook, or email hello@artificiallyintelligentmarketing.com for your thoughts and feedback. Catch you in the next episode!

UK Government's Generative AI FrameworkThe UK Government has published a comprehensive Generative AI Framework for employees, covering principles of use, ethics, data security, and innovation. A proactive approach to AI literacy and change management is evident, promoting responsible AI adoption.Publicis Groupe's €300 Million AI InvestmentPublicis Groupe announces a €300 million investment in AI, launching CoreAI. Aiming to revolutionise marketing strategies, CoreAI utilises extensive consumer data and partnerships, including OpenAI and Microsoft.Google's Text-to-Video Model: LumiereGoogle Research's Lumiere, a text-to-video diffusion model, impresses with its ability to generate realistic AI videos. A research project for now, Lumiere raises questions about copyright issues and AI's role in content creation.Runway Gen-2: Enhancing AI Video EditingRunwayML introduces the Multi Motion Brush in its Gen-2 model, offering unparalleled motion control in video editing. This tool signifies a new era in AI-assisted creative content production.OpenAI's Model Updates and Cost ReductionsOpenAI updates its AI models, introducing GPT-4 Turbo and reducing costs for GPT-3.5 Turbo. These advancements promise greater accessibility and performance for AI-integrated marketing strategies.ElevenLabs' Major Funding MilestoneElevenLabs secures $80 million in Series B funding, advancing its AI voice technology. The funding will enhance voice synthesis capabilities, offering new opportunities for personalised marketing strategies.AI Website Builders: Reality CheckExploring the gap between the promise and performance of AI website builders like Wix and Dorik. Marketers need to navigate the hype to find genuinely useful AI solutions.MIT's AI and Job Automation StudyMIT's study reveals that only 23% of vision-based tasks are economically viable for AI automation. This finding challenges assumptions about AI's impact on job automation and workforce skills.Samsung Galaxy S24 Series: AI AdvancementsSamsung's Galaxy S24 Series introduces advanced AI features, reshaping mobile communication and content creation. Marketers must adapt strategies for this evolving AI landscape.AI and Political Misinformation: The New Hampshire IncidentA robocall incident in New Hampshire, using AI-generated voice, underscores AI's potential misuse in political misinformation. Marketers must ensure ethical AI use and transparency.Microsoft Copilot: Office AI Tools ReviewReviewing Microsoft Copilot's AI tools across Office apps. While showing promise, limitations exist, especially in Excel. Marketers can strategically utilise these tools for enhanced productivity and creativity.