I’ve seen many technologies come and go throughout my career. I used to chase after every new trend, trying to stay on the cutting edge. However, I quickly learned that this approach often cost me and my clients countless hours, with many technologies fading into obscurity. Does anyone remember Google Authorship?
I’ve realized that by waiting for wider adoption, learning from early adopters’ mistakes, and catching up quickly, I avoid wasting time and create more value. This approach has been invaluable to me.
However, some moments in technological advancement stand out—when being an early mover means not just succeeding but helping shape the future. The first people to realize the importance of PageRank and started building links can relate. WebMCP feels like another one of those pivotal moments, only larger.
The change we’re facing isn’t just about search engine mechanics or generative engine visibility. Discovery itself is evolving, and the entities performing this discovery are changing too.
I remember the age-old debate in SEO circles—should we focus on search engines or people? My answer is both. Yet now, this paradigm is shifting. What happens when discovery shifts from human-driven to being guided by AI agents?

When you ask ChatGPT a question today, it processes information, conducts additional searches, asks follow-ups, and delivers conclusions. The AI agent plans and decides for you, influenced entirely by its data sources and interpretive frameworks.
This evolution represents just one chapter in the ongoing story of discovery:
Discovery v1: Experiential interactions and word of mouth dominated.
Discovery v2: The written word took prominence in libraries and print media.

Discovery v3: The web spawned directories and search engines.
Discovery v4: Today, we see AI and LLMs increasingly aid discovery.
Discovery v5 (coming soon): Agentic systems will advance to perform actions autonomously.
Embracing Discovery v5 could offer us significant liberation—freeing our minds from mundane decisions, and enabling a focus on what truly matters.

The path to Trustable AI is underway. I now trust AI systems with everyday queries, relying on them more each time they enhance their capabilities.
Would I trust an AI to handle complex tax or health questions? Not entirely. Would I ask it to help plan dinner or schedule my day? Definitely.
This gradual trust expansion parallels past experiences with technology. As it grows, so does our reliance on agents to act on our behalf.
The tangible impact is visible: Automating grocery reorders or offering extraordinary travel deals are low-risk, high-reward changes.

The skepticism towards relinquishing control to technology is as old as technology itself. From fear of entering credit card details online to today’s reliance on smartphones and GPS, each shift was gradual but unstoppable.
WebMCP, which facilitates AI interaction with websites, is a browser-native web standard. It’s gaining momentum, authored by Google and Microsoft. It’s about easing AI’s job in understanding actions on websites, not replacing human interaction.
AI doesn’t need to infer tasks. WebMCP allows clear communication of a site’s capabilities, marking a shift like early schema markup days.
Engaging with this framework ensures your site is AI-ready, simplifying AI interaction.
WebMCP impacts discovery, influencing which sites AI agents prefer. Having your site AI-visible can make or break engagement in the emerging landscape of Discovery v5.
I’m taking advantage of this moment, despite my usual skepticism of early adoption—it feels different this time.
Inspired by this post on Search Engine Land.






