Lucas Tillman, CEO of Optiversal, discusses how AI is expanding search rather than shrinking it. He emphasizes that AEO success relies on strong SEO fundamentals, structured data, and customer-centric content, not shortcuts.
A short editorial from the VEONIB team on why this content matters.
SEONIB's view is that AEO is not a new game but a higher-stakes version of the old one, where SEO fundamentals like structured data and customer-centric content are the true differentiators.
This video stands out by debunking the 'AI is everything' hype and grounding AEO in proven SEO practices, aligning with SEONIB's AI-driven approach that values both technical precision and human relevance.
E-commerce and SEO professionals should audit their structured data and content for customer-problem relevance, then use AI tools to scale those high-value fundamentals.
Answer Engine Optimization is the practice of optimizing content to be directly answerable by AI-driven search engines and assistants.
The core technical and content practices that make a website easily crawlable, indexable, and understandable by search engines.
A standardized format for providing information about a page and classifying its content, helping search engines understand it better.
A file containing product data that is submitted to platforms like Google to power product listings and the product graph.
The connections between different concepts and objects on a webpage, which help search engines understand context and meaning.
A development approach that starts with the customer's needs and works backward to use technology to solve them.
The practice of mass-producing low-quality, keyword-stuffed content that offers little value, often using AI.
Is AI search killing traditional search engines like Google?
No, the search market is expanding. Google still sends vastly more traffic than AI platforms, but AI search is growing. It's an additive layer, not a replacement.
How are consumer search behaviors changing?
Consumers are getting more savvy and asking more detailed, natural-language questions instead of dumbing down their queries. They are searching from their problems.
What is the key to a successful content strategy with AI?
The key is to scale value, not just content. Use AI to create high-quality, customer-backwards content for different niches and moments, rather than mass-producing generic articles.
Why is structured data more important now than before?
AI and traditional search engines rely on clean, structured data to understand and parse content. It's the foundation for being found in both traditional search and AI-driven platforms.
What role do merchant feeds play in AI search?
Merchant feeds power the product graph and are a key source of structured data for platforms like Google. Optimizing them for specific channels is a growing competitive differentiator.
What is the 'learn and test' approach?
Instead of running many small tests, first learn about your customer and their needs. Then, form a hypothesis and test against that learning to make smarter, more strategic bets.
What is the biggest misconception about AI search?
The biggest misconception is that it's the same as search 10 years ago. AI search is much more personalized, so the focus should be on having the right content, not just ranking first for a keyword.
What is one SEO tactic marketers should stop doing?
Marketers should stop 'slop optimization'—creating 1,500-word posts based on keyword research without adding unique value. This perpetuates a cycle of low-quality content.
What is one piece of advice for e-commerce teams?
Work in the retail store and try to sell your product. Understand the customer's problem and speak to that problem in your content, just as you would in a conversation.
Will AI agents replace human shopping entirely?
No, shopping is emotional. AI agents will help guide through the research and discovery phase, but the final choice will likely remain with the human to preserve the feeling of choice.