Using AI at Work: AI in the Workplace & Generative AI for Business Leaders
On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage. Each episode shares real-world AI applications and AI transformation stories from companies successfully using AI in the workplace to improve productivity, decision-making, and operations.
You’ll hear from Chief AI Officers, innovators, and forward-thinking executives who are putting generative AI at work, from AI productivity tools and AI-powered workflows to non-technical AI training and workplace AI adoption strategies.
We cover:
- AI for business leaders – how executives use AI to lead change and drive ROI
- Generative AI tools – practical, easy-to-implement solutions for teams
- AI automation in business – streamline operations without massive tech budgets
- Executive AI education – upskilling leaders and managers for the AI era
- Real-world AI case studies – lessons learned from successful AI implementation
- AI in operations management – optimizing processes and reducing costs
- Ethical AI in business – navigating responsible and effective AI use
Whether you’re exploring AI adoption, leading AI-powered transformation, or looking for AI implementation guides, this podcast delivers a clear, non-technical roadmap to succeed in the AI-driven economy.
New episodes weekly.
Start learning how to put AI to work in your business today.
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
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 Ali
LinkedIn
https://www.linkedin.com/in/zak-ali44/
Substack
https://thoughtson.substack.com
Finder
https://www.finder.com
🛠 AI Tools and Resources Mentioned
ChatGPT
https://openai.com/chatgpt
Claude
https://claude.ai
Perplexity
https://www.perplexity.ai
Notebook LM
https://notebooklm.google
📌 Chapters
00:00 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
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