AI Ketchup 🍅 with Elina Lesyk

AI Ketchup 🍅 with Elina Lesyk
Podcast Description
Tune into AI Ketchup to learn how the boldest founders are turning AI hype into products users love, investors bet on, and talent races to join. We dissect the ‘why’ behind winning strategies, so you can skip the noise and build what matters.
Every two weeks, join conversations with teams who've mastered this art. Discover how they select features, make decisions, and solve real human problems. Not just theory—learn from those who've done it.
Join our community of builders who dare to solve real problems—not just play with tech.
Podcast Insights
Content Themes
The podcast focuses on themes such as AI product development, human-centric design, automation versus human judgment, and organization transformation. For example, episodes discuss vector databases in AI security, knowledge graphs' impact on enterprises, and local AI models enhancing creativity in art, with a particular emphasis on deriving actionable insights from real-world experiences.

AI is your new hire. Learn how to train it.
Join Elina, ex-AWS Cloud & AI Architect, as we crack open the playbooks of leaders who’ve slashed costs, automated workflows, and scaled revenue using AI. No jargon. No fluff. Just battle-tested tactics from:
✅ Founders who built 7-figure businesses with AI
✅ CEOs who automated 40% of operations (and kept their teams happy)
✅ Skeptics-turned-advocates surviving the AI learning curve
A new episode biweekly if you hit a “Subscribe”.
Is traditional SEO dead? As AI Overviews begin to dominate search results, the rules for getting discovered online are being rewritten. In this episode, ML engineer Pahul Hallan explains why the new landscape is a ”winner takes all” game and breaks down the essentials of AI Engine Optimization (AEO). Discover the technical and content strategies your e-commerce business needs to implement today to not just survive, but thrive in the age of AI-powered search and rank higher than your competition.
Guest: Pahul Hallan, Machine Learning Engineer with 5+ years of experience in e-commerce search, ranking, and recommendation systems.
Find our guest here:
https://www.linkedin.com/in/pahulhallan/
Main Topics & Takeaways:
The Shift from SEO to AEO: Understand the fundamental differences between traditional keyword search and modern AI Engine Optimization.
Winner-Takes-All Search: Why AI search drastically reduces the number of competitors and what it takes to be one of the top results.
Technical SEO for AI: How to use standardized schemas (Schema.org) and configure your robots.txt file to ensure AI models can find and understand your content.
”Hand-Feeding the LLM”: Actionable content strategies, including using Q&A formats and creating detailed, story-driven product pages that AI loves.
The Future of Recommendations: How multimodal contextual embeddings are making product recommendations hyper-personalized.
Privacy in the AI Era: A look at the ”right to be forgotten” and how to manage your digital footprint as data collection becomes more sophisticated.
AI search is a ”winner-takes-all” environment. Unlike traditional search with 10+ results, you might only be competing against two or three products in an AI-generated answer.
Structure your website content in a Q&A format. It's more effective than simple listicles because it directly provides the structured answers that LLMs are designed to find.
SEO isn't dead; it's the foundation. AEO adds a new layer on top of existing best practices like quality backlinks and secure connections.
Reverse engineer the process. Take your own webpage, feed it into an LLM, and ask it questions a customer would. If the answers aren't what you expect, your content is likely too confusing.
Authenticity is crucial. Trying to ”game the system” with keyword stuffing or bot farms will ultimately get you penalized and hurt your credibility.
Embrace multimodal content. Provide video transcripts, use tables for comparisons, and add descriptive alt-text to images. This makes your site more accessible and easier for AI to parse.
- Over time, high-quality, original content will win. As more AI-generated content floods the internet, unique and valuable insights will stand out and keep users engaged longer.
- Schema.org: A collaborative community resource for creating and maintaining standardized schemas for structured data on the internet.
Chapters:
00:39 Welcome to the New Era of Search: AI Engine Optimization
02:06 The Evolution from Keyword Search to Contextual Search
03:48 How AI Changes the Game for E-commerce
05:40 The ”Winner Takes All” Nature of AI Search
08:55 5 Technical Tips to Rank Higher in AI Overviews
10:30 Why Standardized Schemas (schema.org) Matter
12:10 Making Your Site Discoverable with robots.txt
15:27 What is AI Engine Optimization (AEO)?
17:15 Content Strategy: How to ”Hand-Feed” the LLM
18:30 The Power of Multimodal Content (Video, Text, Tables)
21:52 How LLMs are Supercharging E-Commerce Recommendation Systems
27:17 Managing Your Digital Footprint & The Right to Be Forgotten
31:24 The Future of Search & The Risk of Homogenized Content
35:51 Key to Success: Understand the Fundamentals of How AI Works
Follow AI Ketchup for bi-weekly stories of AI builders turning ideas into successful tech products. Don't forget to like, subscribe, and leave a review!
Website: https://pod.elinalesyk.com/
LinkedIn: https://www.linkedin.com/company/ai-ketchup/

Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.