The AI Shortlist

Mark Hillary and Matt Bowman
  • 0.0 (0)
  • Marketing
  • Weekly

The AI Shortlist is a 10-part podcast exploring how AI is transforming B2B sales, marketing, and the way companies get discovered. Hosted by tech writer and podcaster Mark Hillary and marketing strategist Matt Bowman, the series examines what AI is saying about your company, how buyers are using tools such as ChatGPT, Gemini, Claude, and Perplexity before they ever contact sales, and what businesses need to do to become visible, credible, and recommended. Each episode combines practical advice with real-world experience, showing how better ideas and content can get you on the AI shortlist.

Episodes

  1. 3d ago

    The Challenger's Advantage

    The AI Shortlist – Episode 8: The Challenger’s Advantage Hosts: Mark Hillary and Matt Bowman Can a $100 million company really compete with a $20 billion industry giant when buyers increasingly use AI to discover potential suppliers? In episode eight of The AI Shortlist, Mark Hillary and Matt Bowman explore how AI-mediated discovery could create new opportunities for smaller challenger brands to compete against established market leaders. Large companies have traditionally dominated B2B buying decisions through brand recognition, extensive customer relationships, analyst coverage, and enormous marketing budgets. Those advantages haven't disappeared. But AI is changing how buyers research problems and identify potential solutions. When a buyer asks an AI system to solve a specific business problem, the most relevant answer may not come from the biggest or best-known company. It may come from a specialist with deeper expertise, stronger evidence, and a more focused understanding of that particular challenge. Mark and Matt discuss why challenger brands should stop trying to imitate market leaders and instead focus on what they know that larger competitors don't know, can't say, or haven't bothered to investigate. Key discussion points Does AI change the competitive equation? Why AI-powered discovery may give smaller companies new opportunities to enter buying conversations previously dominated by major brands. Relevance versus recognition: Why being the most familiar company in a market isn't necessarily the same as having the strongest evidence to answer a specific business question. The specialist's advantage: How focused expertise, original research, customer outcomes, and operational knowledge can help challenger brands establish authority. Why imitation is a losing strategy: The danger of smaller businesses copying the generic messaging, thought leadership, and marketing strategies of much larger competitors. Finding opportunities the giants overlook: Three questions challengers should ask: What do we know that competitors don't? What are we willing to say that they aren't? What problems are too small for them to investigate but important to our customers? Discovery is not selection: Why appearing on an AI-generated shortlist is only the beginning. Challengers still need to demonstrate credibility, financial stability, customer references, and the ability to deliver. The measurement challenge: How can marketers prove that greater AI visibility is producing commercial results when much of the buyer journey remains invisible to traditional analytics? The central takeaway AI doesn't automatically level the playing field between challengers and market leaders. But it can change the basis of competition. Smaller businesses don't need to outperform industry giants across every capability. They need to identify the specific problems where they can demonstrate more relevant expertise, stronger evidence, and greater insight. As Mark explains during the discussion: "The challenger doesn't have to become more famous than the incumbent. It just needs to become more useful around a particular problem." The opportunity isn't necessarily to beat the market leader. It's to earn a place on a shortlist that might previously have been impossible to reach. Coming next: Episode 9 – The Marketing You Can't Measure If buyers are using AI to research suppliers, compare expertise, and create shortlists before ever visiting a company's website, how can marketing teams measure their influence? In the next episode, Mark and Matt explore the growing challenge of demonstrating marketing ROI when some of the most important stages of the B2B buying journey are invisible to traditional analytics and CRM systems.

  2. Oct 28

    You Can't Own Every Question: How to Earn Your Place in AI Answers

    The AI Shortlist – Episode 7 You Can't Own Every Question: How to Earn Your Place in AI Answers Hosts: Mark Hillary and Matt Bowman Can your company become the trusted authority on a question that potential buyers are asking AI? And how do you earn that position through genuine expertise rather than just publishing more marketing content? In episode 7 of The AI Shortlist, Mark Hillary and Matt Bowman explore the idea of question ownership — identifying the commercially important questions your company is uniquely qualified to answer and building a body of credible evidence that connects your expertise to those problems. Following the previous episode's discussion about learning from sales teams, Mark and Matt explain why companies shouldn't attempt to answer every buyer question. Instead, they should focus on a small number of strategically valuable questions where their experience, evidence, and measurable outcomes can make a genuine difference. They also introduce the concept of "question leadership" as a more practical alternative to traditional thought leadership. Rather than trying to become known for enormous subjects such as AI or customer experience, companies should earn recognition for answering specific, consequential business questions. You can't own every question: Why identifying 200 buyer questions doesn't mean creating 200 pieces of content. Problems versus categories: Why buyers often start by describing business problems rather than searching for the products or services that might solve them. Earning the right to answer: Why question ownership is about demonstrating expertise, not manipulating AI search results. Four tests for question ownership: Does the question matter to buyers? Is it commercially valuable? Do you have a legitimate advantage in answering it? Can you prove your expertise? From thought leadership to question leadership: Why specific questions supported by real evidence create a stronger foundation for executive content and market authority. Depth over volume: Why a focused collection of credible insights may be more useful than hundreds of generic marketing articles. Mark and Matt challenge business leaders to identify five questions they would most want prospective buyers to associate with their company. For each question, ask: If a buyer asked an AI system this question today, would there be enough credible evidence available to justify including our company in the answer? If the answer is no, you may need to publish better evidence — or recognise that another company is better qualified to answer. Coming Next: Episode 8 explores The Challenger's Advantage — can a smaller company use specialist expertise and credible evidence to compete against much larger, better-known competitors in AI-driven discovery?

  3. Oct 21

    Your Sales Team Already Wrote Your Content Plan

    The AI Shortlist – Episode 6 Your Sales Team Already Wrote Your Content Plan Hosted by Mark Hillary and Matt Bowman What if the best ideas for your next marketing campaign are already sitting inside your sales team's conversations? Every day, salespeople hear what buyers are asking, what concerns them, what they don't understand, and what prevents them from making purchasing decisions. Yet much of this valuable knowledge never makes it beyond private sales calls. In episode six of The AI Shortlist, Mark Hillary and Matt Bowman explore how companies can turn these conversations into a powerful source of buyer intelligence — and use that knowledge to create content that answers real commercial questions. With AI increasingly influencing the B2B buying journey, companies need to ensure their expertise is publicly available, not trapped inside the heads of their best salespeople. In this episode, Mark and Matt discuss: Why sales conversations are a goldmine for marketing: How recurring buyer questions can reveal what your market genuinely wants to understand. Why buyer questions matter more than broad marketing topics: The difference between publishing another generic article about AI and answering a specific question that influences a purchasing decision. How AI can transform sales intelligence: Using AI to identify emerging patterns, objections, and concerns across thousands of sales interactions. Turning private answers into public expertise: Why questions your salespeople answer repeatedly should often become publicly accessible content. Building an evidence engine: Connecting real buyer questions with internal experts, practical experience, customer outcomes, and credible evidence. Creating a continuous feedback loop: Bringing sales, marketing, and subject matter experts together to keep content aligned with changing buyer priorities and commercial objectives. The goal isn't to let sales dictate the marketing calendar or to use AI to generate hundreds of generic articles. It's to identify the questions that matter commercially and provide credible, useful answers that buyers — and the AI systems advising them — can discover. The central message? Your sales team didn't really write your content plan. Your buyers did. Sales was simply listening. If your best answers only exist inside private sales conversations, how will buyers discover your expertise before they contact you?

  4. Oct 14

    What Evidence Does AI Actually Trust?

    The AI Shortlist – Episode 5: What Evidence Does AI Actually Trust? Hosts: Mark Hillary and Matt Bowman Every company claims to be innovative, customer-focused, and an industry leader. But if everyone is making the same claims, how can AI distinguish between companies that genuinely deliver results and those that simply have good marketing? In episode five of The AI Shortlist, Mark Hillary and Matt Bowman explore why traditional marketing claims are no longer enough when AI is helping B2B buyers research suppliers and build shortlists. The discussion focuses on three essential types of evidence: expertise, outcomes, and independent corroboration. Mark and Matt explain why publishing more content isn't necessarily the answer, why a company's website tells only part of the story, and how independent research, customer experiences, industry commentary, and genuine human expertise can help establish credibility. They also explore an enormous opportunity hidden inside many businesses: proprietary data and the accumulated knowledge of employees. These assets may provide unique insights that competitors cannot replicate and AI cannot simply invent. Key topics include: Why AI needs more than unsubstantiated claims of innovation and industry leadership. The three essential categories of evidence: expertise, outcomes, and corroboration. Why independent sources can be as important as a company's own website. How publishing genuine human expertise can strengthen visibility and credibility. Why proprietary operational data may be a company's most valuable marketing asset. How executives can shift their marketing strategy from producing more content to publishing better evidence. The central question for executives is simple: What does your company know that the internet doesn't? If that knowledge isn't publicly accessible and supported by credible evidence, how can AI recommend your business to a potential buyer? In the next episode, Mark and Matt explore another overlooked source of valuable insight: Your Sales Team Already Wrote Your Content Plan.

  5. Oct 7

    Why AI Gets Companies Wrong

    Episode 4: Why AI Gets Companies Wrong Why does AI sometimes describe your company in a way that feels incomplete, generic, or simply wrong? In this episode of The AI Shortlist, Mark Hillary and Matt Bowman explore why the problem is not always AI hallucination. More often, AI is forming conclusions from the public evidence it can find — and that evidence may be incomplete, inconsistent, outdated, or too generic to show what really makes a company different. They discuss the difference between the company you know internally and the company AI knows publicly. Organizations may contain decades of expertise, customer experience, technical knowledge, and specialist insight, but AI cannot see internal meetings, Slack conversations, customer discussions, or private methodologies. It can only work with what has been made visible. Mark and Matt also explain why AI tends to fill in the gaps. When there is not enough specific evidence, models fall back on broader industry patterns. This can produce a description that is technically accurate but fails to explain why one company is different from its competitors. The episode argues that every case study, podcast appearance, research report, methodology, conference presentation, or expert contribution helps teach AI what an organization actually knows. Marketing is therefore becoming more than attracting attention — it is also about documenting expertise in a form that both buyers and AI can understand. The episode finishes with a practical challenge: ask ChatGPT, Claude, Gemini, or Perplexity to describe your company, then ask why it formed that impression, what evidence influenced the answer, and what information would help it better understand what makes your company unique. Those answers can reveal where the gaps in your public evidence really are.

  6. Oct 1

    Why AI Recommends Some Companies and Not Others

    In Episode 3 of The AI Shortlist, Mark Hillary and Matt Bowman explore one of the biggest questions facing B2B executives today: how does AI actually decide which companies to recommend? They challenge some common assumptions about AI visibility. Traditional SEO, backlinks, domain authority, and large marketing budgets may help companies get discovered online, but they do not automatically make a company part of an AI-generated recommendation. AI is not simply ranking websites — it is trying to answer a buyer’s question or solve a business problem. The discussion explores several important ideas: AI starts with the buyer’s problem, not the vendor. A buyer may ask how to reduce contact centre attrition or improve a business process. AI first tries to understand the problem before deciding which companies have relevant expertise. Evidence builds confidence. Research, case studies, technical documentation, executive interviews, conference presentations, analyst reports, podcasts, and expert commentary can all help demonstrate what a company actually knows. Expertise that stays inside the company may be invisible. A business can have decades of experience, but if that knowledge remains inside presentations, private meetings, or employees’ heads, AI has very little public evidence to work with. Clarity matters more than slogans. Claims such as “innovative,” “customer-centric,” or “global leader” reveal very little. AI gains more understanding from specific explanations of problems solved, approaches used, and measurable outcomes achieved. Visibility now means being understood as well as being found. SEO remains important, but companies also need to make their expertise clear enough that AI can confidently introduce them into a buyer’s research journey. Mark and Matt finish with a practical exercise: ask ChatGPT, Claude, Gemini, or Perplexity about several problems your company solves — without mentioning your company by name. See which companies appear, examine the evidence behind those recommendations, and then ask why your own company was not included. The central lesson is simple: AI visibility is not about manipulating an algorithm. It is about creating a clear, consistent body of public evidence that demonstrates what your company knows and the problems it can solve.

  7. Sep 23

    The Invisible Buyer Journey

    In Episode 2 of The AI Shortlist, Mark Hillary and Matt Bowman explore how the B2B buyer journey has moved into places that sales and marketing teams can no longer easily see. Buyers are increasingly using tools such as ChatGPT, Claude, Gemini, and Perplexity to research problems, compare suppliers, explore pricing, assess risk, and even build internal business cases — often long before they visit a company website or speak to a salesperson. Mark and Matt discuss why traditional marketing dashboards may now capture only the final stages of the buying process, how AI is influencing which companies make it onto shortlists, and why executives need to rethink where the buyer journey actually begins. The key question is simple: if buyers are researching your company before you know they exist, what are they learning about you?

  8. Sep 16

    What is AI saying about your company?

    What are the AI tools saying about your company? Your clients and prospects may already be asking AI about your company, but you have no idea what answer they are getting. Buyers are not just asking AI 'who are the top companies in category X.' Far more often, they are asking AI how to solve a specific problem such as reducing agent attrition, evaluating insourcing versus outsourcing, or avoiding hidden costs in a contract. When a company has published clear, specific, public evidence about that exact problem, AI can make available that company's name, language, or even a quote inside its answer. That is a backdoor introduction: the buyer never searched for the company by name, but the company still earned a place in the answer. The fear every executive should now feel is not just 'is my company invisible.' It is 'my prospects are already getting answers to their real problems, and I have no idea whether my company is part of those answers, or absent from them entirely.’ Hosts Mark Hillary https://www.linkedin.com/in/markhillary/ Matt Bowman https://www.linkedin.com/in/matthewabowmanmba/

  • 8 Episodes

About

The AI Shortlist is a 10-part podcast exploring how AI is transforming B2B sales, marketing, and the way companies get discovered. Hosted by tech writer and podcaster Mark Hillary and marketing strategist Matt Bowman, the series examines what AI is saying about your company, how buyers are using tools such as ChatGPT, Gemini, Claude, and Perplexity before they ever contact sales, and what businesses need to do to become visible, credible, and recommended. Each episode combines practical advice with real-world experience, showing how better ideas and content can get you on the AI shortlist.

Information

  • Creator
    Mark Hillary and Matt Bowman
  • Years Active
    2026
  • Episodes
    8
  • Rating
    Clean
  • Copyright
    © Mark Hillary and Matt Bowman
  • Show Website
    The AI Shortlist