Episode 82: Using AI at Work to Win in Search and LLM Discovery with Zak Ali

DEC 15, 202552 MIN
Using AI at Work: AI in the Workplace & Generative AI for Business Leaders

Episode 82: Using AI at Work to Win in Search and LLM Discovery with Zak Ali

DEC 15, 202552 MIN

Description

Chris Daigle sits down with Zak Ali, General Manager at Finder, to unpack how search is evolving as people move from traditional search engines to large language models like ChatGPT, Claude, and Gemini.Zak explains why SEO is not dead, how LLMs decide which brands to surface, and why trust signals like authority, recency, and editorial rigor matter more than ever. He shares how Finder adapted its content strategy to show up consistently inside AI answers, what types of long tail queries perform best in LLM search, and how AI powered browsers are changing the future of discovery.They also explore how Finder is approaching AI upskilling internally, why hands on experimentation beats mandates, and how non technical teams are using tools like Claude Code and MCPs to dramatically increase productivity. This episode is a must listen for leaders who want to understand where search is headed and how AI is reshaping how customers find solutions.🔎 Find Out More About Zak AliLinkedIn https://www.linkedin.com/in/zakali/Substack https://thoughtson.substack.comFinder https://www.finder.com🛠 AI Tools and Resources MentionedChatGPT https://openai.com/chatgptClaude https://claude.aiPerplexity https://www.perplexity.aiNotebook LM https://notebooklm.google📌 Chapters00:00 Introduction to Zak Ali and Finder 02:10 SEO vs LLM search and why fundamentals still matter 04:55 How LLMs choose which sources to cite 07:40 Bing, Google, and triangulating AI search results 10:30 Inspecting ChatGPT queries to understand discovery 13:05 Recency, trust, and authority signals for LLMs 15:45 AI generated content and human quality standards 18:35 Long tail queries and why they win in AI search 21:40 Measuring traffic and revenue from LLM discovery 24:10 AI browsers and the future of click data 27:30 Internal AI upskilling without mandates 30:20 Claude Code, MCPs, and terminal based workflows 34:10 Non technical teams building real tools with AI 37:40 Executive blind spots and the knowledge gap 41:05 Getting started with practical AI habits 44:00 Where to follow Zak Ali and keep learning