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james cadwallader

T2 · manager / operator

Co-founder and CEO of Profound, a marketing platform for the AI era that helps companies understand their visibility in AI search (ChatGPT, Claude, Gemini) and deploy marketing agents. Serves approximately 12% of the Fortune 500. Previously built agent-led marketing workflows internally using Gong transcripts for real-time battle cards.

4 calls·4 names·50% bull·last heard 5 months ago·Kleiner Perkins+1
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1sthigh conviction
$PROFOUNDProfoundposition

Profound CEO claims 12% Fortune 500 adoption for agent-led marketing platform

Profound helps brands understand and optimize their visibility in AI search results across ChatGPT, Claude, and Gemini, while enabling marketers to deploy agents for content creation and distribution at scale.

Sequoia Capital2026-04episode →
2ndhigh conviction
$OPENAIOpenAI

ChatGPT personalization flywheel creates stickiest product in history

ChatGPT's personalization creates a powerful flywheel where increased usage improves model understanding of the user, making it stickier over time and winning consumer mindshare against competing foundation models.

Kleiner Perkins2025-12episode →
3rdmedium conviction
$HUBSHubSpot

HubSpot cannot simply bolt AI onto legacy architecture

Incumbents like HubSpot face fundamental architectural mismatch: their pre-LLM scaffolding cannot be retrofitted with native AI primitives, making it 'really difficult' to compete with AI-native products that build from the ground up.

Kleiner Perkins2025-12episode →

most discussed · click a bar to filter

  • $HUBS
  • $MDB
  • $OPENAI
  • $PROFOUND

recurring themes

  • AI Agents3
  • AI Applications2
  • Search & Discovery1
  • AI Infrastructure1
  • AI Economics & Business Models1
4 total
$HUBS
···
HubSpot
MEDjames cadwallader·Kleiner Perkins·9 months ago·How Brands Stay Visible When AI Decides | Profound CEO James Cadwallader
HubSpot cannot simply bolt AI onto legacy architecture
Incumbents like HubSpot face fundamental architectural mismatch: their pre-LLM scaffolding cannot be retrofitted with native AI primitives, making it 'really difficult' to compete with AI-native products that build from the ground up.
"It's like really difficult for just like pick on HubSpot for a second to just like throw on AI onto their product. It's just not the same. ... so much of it to me feels like it's…"
27:38
$MDB
···
MongoDB
MEDjames cadwallader·Kleiner Perkins·9 months ago·How Brands Stay Visible When AI Decides | Profound CEO James Cadwallader
MongoDB documentation moat threatened by AI coding assistants
Engineers increasingly use Cursor and ChatGPT to troubleshoot MongoDB issues instead of visiting docs.mongodb.com, risking that models surface outdated third-party content rather than official documentation, undermining MongoDB's developer mindshare.
"let's use MongoDB as an example. for the last however many years if you were an engineer that was using MongoDB and you needed to troubleshoot an issue or a problem you would have…"
17:11
$OPENAI
OpenAI
HIGHjames cadwallader·Kleiner Perkins·9 months ago·How Brands Stay Visible When AI Decides | Profound CEO James Cadwallader
ChatGPT personalization flywheel creates stickiest product in history
ChatGPT's personalization creates a powerful flywheel where increased usage improves model understanding of the user, making it stickier over time and winning consumer mindshare against competing foundation models.
"I think you said like um Chach GPT is going to be the stickiest product in human history by far. ... I mean there was just this period of time which is made again what was obvious…"
4:34
$PROFOUND
Profound
HIGHjames cadwallader·Sequoia Capital·5 months ago·From SEO to Agent-Led Growth: Profound's James Cadwallader· position
Profound CEO claims 12% Fortune 500 adoption for agent-led marketing platform
Profound helps brands understand and optimize their visibility in AI search results across ChatGPT, Claude, and Gemini, while enabling marketers to deploy agents for content creation and distribution at scale.
"you said we work with this is close to 12% of the Fortune 500 now. Their marketing teams use profound."
4:18
9
Search & Discoverytailwind
Front door of internet shifts from blue links to AI chat
The primary consumer entry point for information discovery has moved from Google's blue-link search to conversational AI (ChatGPT, Perplexity, Gemini), creating a zero-click internet where brands lose control over how they appear in answers and must optimize for retrieval agents instead of human readers.
9
AI Agentstailwind
Agent-led growth replaces SEO as agents consume 100x more internet surface area
The shift from blue-link search to probabilistic AI responses means agents now crawl the long tail of the web (e.g., 65 pages for a shower head query), requiring brands to make products legible to super-intelligent agents with infinite bandwidth rather than optimizing for human click-through.
9
AI Applicationstailwind
Marketing must target machines not humans in AI era
Brands must build 'marketing for machines' — distributing structured, factual content aimed at retrieval agents (bots) rather than narrative-driven human content, because AI models ingest raw information and generate the narrative post-ingestion, fundamentally changing SEO and content strategy.
8
AI Infrastructuretailwind
Each foundation model cites radically different sources: Gemini leans YouTube, ChatGPT pulls Reddit and LinkedIn, Claude shifting to real-time web
Model-specific citation biases create distinct optimization surfaces — Gemini favors YouTube (Google ownership), ChatGPT favors Reddit for consumer and LinkedIn for B2B, while Claude is increasing real-time web usage — meaning brands must track per-model visibility, not just aggregate SEO.
8
AI Agentstailwind
Agentic commerce protocols enable transactions inside AI chat
Emerging standards like OpenAI's ACP (Agentic Commerce Protocol) and Google's AP2 will allow users to complete purchases directly within ChatGPT and other AI interfaces, collapsing the research-to-purchase funnel into a single conversational turn and making AI the new checkout layer.
8
AI Economics & Business Modelsrisk
Dead internet scenario possible within 3 years as human content incentives collapse
If humans stop visiting websites, ad-supported publisher economics break, removing incentives for original editorial content that both humans and AI rely on; this could force AI labs to vertically integrate with social platforms (Grok/X, potential OpenAI/Reddit) to secure human-generated training data.
8
AI Applicationstailwind
Generative AI advertising will be the most effective ad format ever due to deep intent capture and real-time personalization
Conversational interfaces capture rich consumer intent; when combined with AI's ability to synthesize personalized language at the exact moment of maximum responsiveness, ad units become system prompts that tailor brand messaging to individual tone and context in real time.
7
AI Agentsmixed
B2B purchase decisions increasingly steered by agents that must remain objective — advertising ineffective for dev tools
In coding and dev-tool contexts, agents actively steer technical decisions; users demand agent objectivity, making traditional advertising counterproductive — brands must instead ensure their products are interoperable and legible to agents' first-principles reasoning.