- Kiera Carter
- Dec 23, 2025
- 4 min read
Just when marketers finally started wrapping their heads around generative engine optimization and defined their AI search KPIs, the agentic web entered the scene.
“We're moving beyond AI that just answers questions to AI that researches, compares, and completes transactions autonomously,” says Aviv Shamny, co-founder and CEO of Limy. “This represents the biggest shift in consumer behavior since the invention of search engines.”
That's why Shamny and his team built Limy, an agentic web optimization app now available in the Wix App market. As part of our Human in the Loop series, Shamny discusses the rise of the agentic web, the best AI search tools, and the massive opportunity for brands that optimize and adapt.
How long have you been working with AI?
I've been working with AI for over three years. Initially, my work focused on traditional machine-learning applications and applied data systems: large-scale classification, entity resolution, ranking models, and attribution pipelines. This included building models to understand how content, entities, and signals propagate across platforms, long before LLMs became the dominant interface.
This foundation is what later enabled Limy to translate LLM behavior into measurable, optimizable systems, and we launched publicly in March 2025. Since then, adoption accelerated quickly as brands began treating AI search as a measurable growth channel rather than an experimental one.
As CEO of Limy, I lead our vision of helping enterprises optimize their brand visibility across AI platforms. My role combines technical strategy with business development. I work directly with Fortune 500 clients to help them understand and succeed in the agentic web, where AI assistants take actions on behalf of users.
How has your relationship with AI changed over the years (or months)?
My relationship with AI has evolved from viewing it as a tool to recognizing it as a fundamental shift in how consumers discover and interact with brands. In the early days, AI was about automation and efficiency. Today, it's about understanding that AI is becoming the primary interface between brands and consumers. The shift has been especially dramatic in the last 18 months. We've gone from "LLMs are interesting" to "AI is fundamentally reshaping the customer journey." This requires a completely different strategic mindset.
What’s your AI-search philosophy right now?
My philosophy has shifted from "optimize for visibility" to "optimize for agency and control." In traditional search, you compete for rankings. In AI search, you compete for context and relevance in synthesized answers.
But more importantly, as AI becomes agentic—meaning it makes decisions and takes actions for users—brands need to ensure they're not just mentioned, but positioned correctly in the decision-making process. It's about strategic intelligence for the AI-driven consumer journey.
Can you share a recent success in improving visibility in LLMs?
We recently worked with a major consumer goods company to dramatically improve their brand presence in ChatGPT and Claude when users asked for product recommendations in their category.
By restructuring their digital content architecture and implementing our agentic web optimization approach, we increased their brand mentions in relevant AI responses by over 300% in three months. More importantly, the context in which they were mentioned became significantly more favorable. They were positioned as a category leader, not just another option.
What mindset or tactic led to this success?
The key mindset shift was moving from "creating content for crawlers" to "creating content for understanding." We focused on semantic clarity, authoritative content structure, and ensuring their brand story was told consistently across their entire digital ecosystem. We also tracked which AI bots were visiting their sites and how, allowing us to optimize based on actual AI behavior patterns rather than assumptions.
Which AI tools do you use the most?
ChatGPT: Essential for understanding consumer behavior and testing brand visibility. I use it daily to see how our clients appear in real-world queries.
Claude: My preferred tool for strategic thinking and complex analysis. Its nuanced reasoning helps me work through business challenges and optimization strategies.
Perplexity: Critical for understanding how LLMs cite and reference sources. It's shaped how we think about attribution in the AI era.
Our Limy platform: Obviously! Our bot monitor and analytics suite is how we track AI bot behavior, measure brand visibility across LLMs, and provide our clients with actionable intelligence about their AI search performance.
What excites you the most about AI-SEO/GEO right now?
The emergence of the agentic web. We're moving beyond AI that just answers questions to AI that researches, compares, and completes transactions autonomously. Targeting agents, not people, represents the biggest shift in consumer behavior since the invention of search engines. For brands, it's both an enormous opportunity and a risk. Those who adapt will thrive, while those who ignore it will become invisible.
What’s the biggest challenge for marketers diving into AI-SEO today?
The fundamental challenge is that AI search operates differently than anything marketers have dealt with before. There are no rankings to track, no clear click-through metrics, and the algorithms are opaque. Traditional SEO metrics don't translate. Marketers need to shift from a "traffic and rankings" mindset to a "visibility and context" mindset.
They also need new tools—which is why we built Limy—because you can't optimize what you can't measure. The learning curve is steep, but the stakes are too high to ignore.
At Limy, we're helping brands lead in this new paradigm. We treat AI models and agents (ChatGPT, Gemini, Perplexity, AI Overviews, etc.) as active decision makers rather than passive search engines. Limy captures how agents interpret, recommend, and route users, then turns that into actionable recommendations and attribution.
What advice do you have for those looking to improve performance in AI search?
First, start measuring. Use tools to understand how AI bots are interacting with your site and how your brand appears in LLM responses.
Second, think semantically. Focus on comprehensive, authoritative content that directly answers user questions rather than keyword optimization.
Third, understand that AI search rewards genuine expertise and clear information architecture.
And finally, don't wait. The brands that invest in agentic web optimization now will have a massive advantage as this becomes the dominant form of search. The future is already here—it's just not evenly distributed yet.
