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AI Marketing

AI Marketing

Written by: Mark Fidelman
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Season 4: Join Mark Fidelman on "AI Marketing," where cutting-edge AI solutions meet modern marketing strategies. Each episode, we dive into the latest and most effective AI tools revolutionizing the marketing landscape. From deep dives into specific AI technologies to discussions with industry pioneers, our podcast keeps you at the forefront of AI-driven marketing innovation. Whether you're a marketing professional eager to enhance your campaigns or a tech enthusiast curious about AI's impact on marketing, "AI Marketing" is your go-to resource for staying ahead in the dynamic world of AI marketing. Tune in to explore how artificial intelligence is transforming marketing.Mark Fidelman 2024 Economics Marketing Marketing & Sales
Episodes
  • How AI Is Transforming Marketing Analytics

    How AI Is Transforming Marketing Analytics
    Oct 8 2026

    Host: Mark Fidelman
    Guest: Aksel Bedikyan, marketing research and analytics practitioner based in Montreal, Canada

    Episode description

    How is AI changing marketing analytics—and what remains valuable when AI can write code, analyze data, and automate reports? Mark Fidelman talks with Axel Benikian about AI agents, the changing role of data science, and practical ways marketers can get more insight from the data they already have.

    Axel explains how his team uses AI to automate recurring analysis and presentation work, while emphasizing that useful insights still depend on access to good data. His advice to businesses: map your existing data first, use AI to explore what it can tell you, and turn to custom research when important questions can't be answered with public or existing data.

    Key takeaways
    • AI is broadening access to data science. Coding may become less central to some roles, while more people use AI to build apps, models, and tools for business questions.
    • AI can automate repetitive analytics work. Aksel's team uses Claude to help generate analyses and recurring PowerPoint reports, including brand trackers.
    • Start with the data you already have. Map your internal data and connect it to the questions you want to answer before investing in new data collection.
    • AI has limits when it comes to proprietary information. LLMs can help analyze available data, but they don't automatically have access to a company's private customer or business data.
    • Custom research still matters. Interviews, focus groups, ethnography, and surveys can fill gaps when existing data can't answer new questions.
    • Learn by doing. Aksel recommends experimenting with AI tools and sharing what you learn with others.
    Episode timestamps
    • 00:27 —Aksel's background in aerospace engineering, consulting, and market research
    • 02:36 — Will AI replace data scientists?
    • 05:25 — AI agents: risks to jobs and opportunities for innovation
    • 07:05 — How Aksel's team applies AI to marketing analytics
    • 09:54 — Automating recurring analyses and PowerPoint reports
    • 11:46 — How marketers can make better use of existing data
    • 15:13 — When AI needs to be supplemented with custom research
    • 15:47 — Staying curious and learning through hands-on experimentation
    Links
    • Mark Fidelman's book, Agent Shock: agentize.com/book
    • Aksel Bedikyan: OG Insights · Find Axel on LinkedIn
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    19 mins
  • AI Agents, Dashboards, and Work Slop: What Marketers Need to Know

    AI Agents, Dashboards, and Work Slop: What Marketers Need to Know
    Sep 25 2026

    Stop Chasing AI Tools: What Marketers Should Actually Do With AI

    AI marketing is moving fast and the constant stream of new tools can leave even experienced marketers feeling behind. In this episode, Mark Fidelman talks with marketing educator Will Francis about how to put AI to work without getting swept up in the hype.

    Will shares why he recommends starting with one primary AI assistant, how desktop apps can help marketers work directly with their files, and why he prefers practical workflows over complicated agent hierarchies. He also walks through his own AI-powered dashboard, explains how he uses voice dictation throughout the day, and discusses where human judgment still matters.

    The conversation also covers Will's AI for Marketing community, which he said was planned to launch in mid-October at the time of recording.

    Key takeaways
    • Start with one main AI workspace instead of trying every new tool.
    • Look for useful outcomes—like organizing documents or creating a daily briefing—before building a complex AI setup.
    • Treat AI agents as assistants that need direction and review; left unchecked, they can produce "work slop."
    • Connect AI to the systems and data you actually use if you want a more complete picture.
    • Make room for human judgment, strategy, and leadership—and step away from AI during the day.
    In this episode
    • 00:04:20 Will's background and his practical approach to AI education
    • 00:07:29 How to avoid getting overwhelmed by AI tools
    • 00:10:30 Will's tool recommendations for marketers
    • 00:12:30 Why he's skeptical of complex, always-on agent systems
    • 00:18:02 Practical ways CMOs can get started with AI
    • 00:22:09 AI as a sounding board—and the continuing role of human judgment
    • 00:25:15 Will's daily AI workflow and custom dashboard
    • 00:30:30 The AI for Marketing community and workshops

      Sign up for my book AgentShock
    About Will Francis

    Will Francis is a marketing educator and creator with 25 years of experience, including work at MySpace, advertising agencies, and his own agency. He creates practical, no-hype content to help people use AI for marketing.

    Learn more: willfrancis.com
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    28 mins
  • Answer Engine Optimization (AEO): How to Rank in AI & Capture 4–12x

    Answer Engine Optimization (AEO): How to Rank in AI & Capture 4–12x
    Sep 18 2026
    AI Marketing Podcast – AEO (Answer Engine Optimization) with Elina Panteleyeva Guest: Elina Panteleyeva, Founder of ShowUpWithAI Host: Mark Fidelman Topic: How to rank in AI answers (AEO) and capture high-intent leads from ChatGPT, Claude, Gemini, etc. Episode Overview In this episode, Mark and Elina break down Answer Engine Optimization (AEO)—how to become the brand that AI agents and chatbots recommend first. Elina shares: Why AI-driven leads convert 4–12x betterHow to optimize your website, content, and off-site signals for AIWhat's changing from traditional SEO to AEO/GEOReal-world case studies of brands exploding inbound leads in 15–60 daysWhy agentic commerce is the next big wave—and how to get ahead of it Timestamps & Segments [0:02:46–0:04:52] Warm-up & context Light banter about calls and busy schedules.Mark mentions bringing a company public (Exascale Labs) and dealing with heavy legal sign-offs on marketing.Sets the stage that this is an AI + marketing focused audience. [0:04:52–0:08:59] Guest intro & origin story Your setup and question: 0:04:41 Mark: "All right, so we're going to talk about the AEO… I'm going to be the voice of the listener and walk through it as if you were talking to me for the first time." Key points: 0:07:39 Elina's background: Founder of ShowUpWithAIWorked at an AI startup, got laid off in 2023.Bootstrapped an e‑commerce brand to seven figures.Noticed people using ChatGPT to choose doctors, therapists, services. Realization: "There's no page two of chat."She spent hundreds of hours studying documentation, signals, and how LLMs evaluate brands.That research became ShowUpWithAI [0:08:59–0:12:13] Why AEO matters now Your question: 0:08:59 Mark: "Okay, so why should anyone care about AEO?" Key points: People coming from AI/chat are 4–12x more likely to convert. They've already discussed their problem with an AI.They trust the model and are now ready for a solution. AI is always recommending someone—you or your competitor.It's still early: Most businesses aren't optimizing for AI yet.Results can come within 30–60 days. Elina: AEO is "the biggest ROI you can get in 2026." Your follow-up question: 0:10:13 Mark: "What if 1,000 plumbers are doing this? How does ChatGPT know which one to recommend?" Key points: Right now, 1,000 plumbers are not doing it, which is why starting now matters.LLMs care deeply about recommendation quality: If they recommend bad options, users switch models (Claude, Perplexity, etc.). Models use specific signals different from traditional SEO: On-site: technical optimization, schema, phrasing, blogs, structure.Off-site: Reddit threads, YouTube, reviews, third‑party mentions. [0:12:13–0:15:05] Signals, platforms & AI-optimized content Your question: 0:12:13 Mark: "Is that primarily how you rank… or is there something else you have to do to make sure you're top of mind, especially locally, for ChatGPT, Gemini, or Claude?" Key points: It's industry-dependent: Some spaces are Reddit-heavy.Others lean on YouTube, Trustpilot, or specific review sites. Local AEO: Google Business Profile + reviews are critical. Website & content structure matter a lot: Blogs should be AI-optimized, not "typical" blogs.Key elements: Summary at the topFAQs at the bottomExternal citations to credible sourcesInternal linking: blogs → service pages; services → blogs There are "100+ more" technical and structural factors behind the scenes. Your next question: 0:13:51 Mark: "So it's no longer the link-sharing game with SEO or trying to get links in high-traffic sites?" Key points: Big difference vs. traditional SEO: Backlinks still help, but…AI can infer trust from unlinked brand mentions. Example: Someone mentions your brand on Reddit without a link.If your website is properly set up, AI can: Recognize the entityAttribute that mention back to your site and brandTreat it as a credibility signal [0:15:05–0:18:07] Search behavior shift & Google's AI overview Your question: 0:15:05 Mark: "Do you have any breakdown of how many people are doing Google searches vs AI now… it used to be like 99/1?" Key points: Tracking is tricky: People find you via chat/AI then go Google your brand.In Google Search Console, you'll see a spike in branded searches if AEO is done right. Behavior changes: People still use Google, but: They rarely scroll far.They definitely don't hit page two. The new game: "How do you get into that Google AI overview box?"That's where the real battle is now. Your commentary: You share your own behavior: You now start most product/service discovery via ChatGPT/Claude/Gemini, not Google.You trust AI to synthesize reviews, source data, and filter out "gamed" SEO. Strategic takeaway: If you're paying 30% to Amazon vs 0% on your own site, AEO is crucial.Do "whatever you can" to rank high in AI results. Your next question: 0:17:06 Mark: "Is there any ...
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    20 mins
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