Grit

How Brands Stay Visible When AI Decides | Profound CEO James Cadwallader

December 22, 2025

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  • The fundamental "front door of the internet" has shifted from traditional search engines to conversational AI interfaces like ChatGPT, creating a critical new challenge for brand visibility. 
  • Profound's core mission is helping companies understand and control how AI models perceive and talk about them, requiring a shift in marketing strategy toward building content for machines rather than just humans. 
  • The current AI cycle is characterized by an intense scarcity of deeply immersed, performant AI engineering talent, making hiring the number one bottleneck for startups like Profound, despite the massive market opportunity. 

Segments

Internet’s Changing Front Door
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(00:00:00)
  • Key Takeaway: The 25-year reliance on BlueLink search has ended, replaced by conversational AI where the internet talks back to users.
  • Summary: The primary way users retrieve information has fundamentally changed for the first time, moving from traditional search to interactive, conversational interfaces. Building performant products in this new space requires deep immersion and expertise. The initial pool of people with this necessary expertise is very small at the start of any new tech cycle.
Introducing Profound and CEO
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(00:01:07)
  • Key Takeaway: James Cadwallader, co-founder and CEO of Profound, built the AI visibility platform after an unconventional start selling gold door-to-door.
  • Summary: The podcast introduces James Cadwallader, CEO of Profound, an AI visibility platform designed for the zero-click internet. Profound helps brands gain visibility inside AI models as consumers increasingly use tools like ChatGPT for answers. The company is noted as one of the fastest-growing the host has observed.
Profound’s Core Offering
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(00:02:48)
  • Key Takeaway: Profound helps companies control how AI perceives and communicates about them, addressing the loss of brand control when consumers use generative AI instead of traditional search.
  • Summary: The platform assists companies in understanding their presence within AI responses and actively distributing information tailored for retrieval agents, not just humans. This shift is described as the biggest platform shift in internet history, making brand representation in AI a boardroom-level concern. The service moves beyond simple SEO for AI by helping create and distribute machine-targeted content.
ChatGPT’s Stickiness and Flywheel
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(00:04:05)
  • Key Takeaway: ChatGPT is predicted to become the stickiest product in human history due to its personalization capabilities that improve with user interaction.
  • Summary: Despite early skepticism about foundational models being commoditized, ChatGPT won consumer mindshare by offering deep personalization. This personalization creates a flywheel effect, making the application increasingly indispensable to the user over time. This user behavior collapses the traditional research funnel, leading to higher-quality clicks when users eventually navigate away from the AI.
Hiring Celebration Rituals
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(00:05:41)
  • Key Takeaway: Profound uses humorous, ridiculous photos posted on LinkedIn to celebrate hiring new team members, counteracting the extreme difficulty of recruiting top engineering talent.
  • Summary: The ritual started organically between the CEO and CTO, Dylan, as a fun way to announce new hires in a highly competitive market where top engineers have total optionality. Hiring the ‘creme de la creme’ is challenging because elite engineers can command enormous salaries at big tech or other startups. These celebrations serve as an outward acknowledgment of securing crucial founding team members.
NYC Office Space Competition
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(00:08:16)
  • Key Takeaway: Securing office space in the competitive ‘Silicon Alley’ region of New York City is so difficult that Profound used a billboard truck as a growth hack to attract brokers.
  • Summary: The area around Union Square and Madison Square Park is extremely competitive for office space, leading to creative, aggressive tactics to secure leases. Using a billboard truck drove massive broker interest, demonstrating the lengths companies must go to secure physical space in prime tech hubs. The current office is extremely cramped, with meeting rooms converted into desks, indicating rapid, unplanned growth.
Accelerated Global Expansion
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(00:11:05)
  • Key Takeaway: Profound is scaling globally ahead of traditional SaaS timelines, opening offices in London (for go-to-market) and San Francisco (for engineering) much earlier than expected.
  • Summary: The company is expanding internationally rapidly because AI timelines compress growth stages from years down to months. Normal SaaS timelines would suggest delaying international expansion until much later in the company’s lifecycle. This aggressive scaling reflects the urgency felt in a market where platform shifts are happening overnight.
AI Platform Shift Urgency
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(00:12:39)
  • Key Takeaway: The shift to AI referral traffic is a mission-critical, boardroom-level concern for large brands because their entire top-of-funnel reliance on Google is threatened.
  • Summary: Even small integer percentage drops in referral traffic from AI sources trigger immediate concern for established companies. Traffic originating from AI research is high quality because the user has completed most of their research within the AI interface before clicking. Eventually, this entire transaction process is expected to be folded directly into the models via protocols like OpenAI’s ACP.
Marketing for Machines vs. Humans
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(00:18:13)
  • Key Takeaway: Companies must transition from building marketing for humans, which values storytelling and narrative rhythm, to building marketing for machines, which prioritizes direct, ingestible information.
  • Summary: AI models replace the human behavior of researching and forming an opinion, meaning brands must distribute content aimed at bots for visibility. Bots do not value opening hooks or narrative structure; the story is created post-ingestion by the AI itself. Profound acts as a workbench to help marketers take action and create this machine-optimized content, though human review remains essential.
Market Competition and Momentum
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(00:21:06)
  • Key Takeaway: In the current AI landscape, where many companies are flanking the obvious greenfield market, maintaining incredible momentum in product velocity and scaling is crucial to becoming the category winner.
  • Summary: The market is saturated with startups because the V1 prototype stage is trivialized by accessible AI tools and accumulated startup knowledge. The real advantage lies in deep, long-term insight into the market’s nuances and the ability to capture the entire business transformation, not just build a feature. Winning requires moving faster than competitors to secure talent and market share before the market stabilizes.
Talent Scarcity in AI
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(00:33:10)
  • Key Takeaway: The current AI cycle mirrors past tech cycles where a limited number of experts deeply immersed in the new technology (like native AI development) creates severe talent scarcity.
  • Summary: Building performant AI products requires expertise in model interaction, chaining, fine-tuning, and inference, skills few possess early on, making incumbents slow to adapt. Top talent is often less money-oriented than mission-oriented, prioritizing career assets, agency, and the potential upside of building something category-defining. Startups compete for this talent by offering significant impact, as they cannot match the salaries offered by large incumbents or model companies.
Founder Journey and Mindset
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(00:41:39)
  • Key Takeaway: James Cadwallader’s competitive nature is lifelong, stemming from dropping out of university to trade gold, which provided an early ‘breakout of the matrix’ moment.
  • Summary: The CEO’s journey involved trading gold after the 2008 financial crisis, which instilled the belief that one can simply ‘do things’ outside traditional paths. This experience led to a deep commitment to building companies, viewing entrepreneurship as the only viable option rather than a choice. He feels a sense of gratitude for building Profound during this exciting AI era, which he repays by giving the venture everything.