Stenobird

Episode

Building AI Research Agents with Kevin White (ScrunchAI) | EP122

Podcast
AI Agents Podcast
Published
Feb 4, 2026
Duration seconds
2031
Processing state
processed
Canonical source
https://podcasters.spotify.com/pod/show/ai-agents-podcast/episodes/Building-AI-Research-Agents-with-Kevin-White-ScrunchAI--EP122-e3eim0c
Audio
https://anchor.fm/s/fe2628e4/podcast/play/114955724/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-1-3%2F417369739-44100-2-dbbe253392b0c.mp3
JSON
/v1/public/podcasts/ai-agents-podcast/episodes/building-ai-research-agents-with-kevin-white-scrunchai-ep122
Markdown
/podcast/ai-agents-podcast/building-ai-research-agents-with-kevin-white-scrunchai-ep122.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/ai-agents-podcast/episodes/building-ai-research-agents-with-kevin-white-scrunchai-ep122/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/ai-agents-podcast/building-ai-research-agents-with-kevin-white-scrunchai-ep122.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

As AI-driven discovery replaces traditional search, brands must shift from optimizing for clicks to optimizing for visibility within LLMs. This episode explores how to benchmark brand presence in ChatGPT and Perplexity and how to structure web content for AI crawlers.

Topics

  • AI SEO
  • LLM Optimization
  • Zero-Click Search
  • Brand Analytics
  • AI Crawlers
  • Digital Marketing Strategy
  • Agent Experience
  • Content Monetization

Highlights

  • Main idea: Traditional SEO is evolving into 'AI Engine Optimization' where the goal is being cited in LLM responses
  • Practical takeaway: Use structured formats like Markdown and JSON to make your website more readable for AI agents
  • Failure mode: Relying solely on JavaScript-heavy interfaces can make your site uncrawlable for AI bots
  • Main idea: The rise of 'zero-click search' means marketers must measure brand share-of-voice within AI platforms, not just organic traffic
  • Practical takeaway: Identify and analyze AI bot traffic to understand which models are crawling your site and which pages they prioritize

Chapters

  1. 1:00 The Shifting Search Landscape: An introduction to how the transition from traditional search engines to AI platforms is changing marketing fundamentals.
  2. 3:30 Identifying New Growth Channels: Kevin discusses spotting the trend of referral traffic coming from ChatGPT and Perplexity as a signal for new marketing opportunities.
  3. 8:35 Measuring AI Brand Visibility: Why marketers need new analytics to track how their brand is represented in AI-generated responses.
  4. 11:10 Optimizing for AI Crawlers: The technical necessity of making web content accessible to bots by moving beyond human-centric JavaScript interfaces.
  5. 13:35 Analyzing AI Bot Traffic: How to use IP metadata and unique identifiers to track which LLMs are interacting with your site.
  6. 18:35 The AI Marketing Maturity Model: A framework for moving from simple benchmarking to active content optimization and strategic action.
  7. 28:35 The Risk of Model Collapse: A discussion on the dangers of AI training on AI-generated content and the importance of human-led research.