AI Is Rewriting the SEO Playbook in Real Time

Search is undergoing its biggest transformation ever – that was unmistakable at MozCon, a major SEO conference.

Previous SEO shifts changed how search engines evaluated and ranked content. Google’s increasing emphasis on expertise and authority, the rise of mobile and the introduction of featured snippets all required marketers to adapt their SEO playbooks.

AI is different. It’s changing the fundamental experience of search – how people ask questions, how answers are assembled and delivered and whether they visit a website at all.

This isn’t another chapter in the SEO playbook – it’s a whole new volume, and everyone is reading at their own pace.

At MozCon, some marketers were already testing how their content appeared in AI Mode, thinking about markdown feeds and preparing websites for AI agents. Others were still getting comfortable with the terminology – and with the idea of ripping up everything they know.

Some presentations explored relatively accessible topics like digital PR’s influence on how AI models perceive brands and differences in how AI Mode, ChatGPT and Perplexity treat content. Others advanced into agentic protocols, MCP, structured data stores and AI-agent-ready infrastructure.

That’s the state of search today: Every level of expertise, all at once.

Traditional SEO isn’t going away. The fundamentals developed over the past two decades still matter.

Search engines still need to find and understand your content. Authority matters. Technical performance matters. Useful, relevant content – yes, it still matters.

But those fundamentals were developed for a search experience in which people entered queries, received ranked lists of results and clicked through to websites.

Increasingly, people are asking complex questions and receiving synthesized answers, recommendations and summaries. Sometimes those experiences lead to a website. Sometimes the answer itself is the destination.

That means brands need to think beyond where they rank to whether their expertise, products and content are understood, surfaced, cited and recommended by AI systems.

SEO now encompasses answer engine optimization (AEO) and generative engine optimization (GEO). The terminology will continue to evolve along with the technology.

Of course, even as the language changes, the goal remains the same: To make your brand discoverable wherever and however your audiences are looking for information.

One thing that struck me at MozCon: No one was pretending to present a finished playbook.

Everyone was testing, experimenting and learning.

Platforms are evolving. User behaviors are changing. New technologies and protocols are emerging. Marketers are learning what works while the ecosystem itself is still taking shape.

Being an expert today doesn’t mean having all the answers. It means knowing what questions to ask – and being unafraid to say “I don’t know.”

This moment in search represents an opportunity – for everyone. The organizations that get ahead won’t necessarily be the ones that correctly predict which platform wins, which acronym sticks or exactly how AI search ultimately develops.

They’ll be the ones that build the ability to learn, test and adapt.

At VShift, we’ve established a dedicated SEO + AI Visibility practice. We’re already helping clients improve how they’re discovered across traditional search and AI-powered experiences. Here’s what we tell our clients:

Treat AI visibility as a discipline, not an SEO side project.
SEO remains essential, but AI-powered discovery introduces new questions about how content is structured, understood, cited and surfaced. Organizations need to develop the capabilities to answer them.

Test instead of relying on assumptions.
See what happens when you ask ChatGPT, Google AI Mode, Perplexity and other AI experiences the questions that matter to your customers. Is your brand visible? Are competitors showing up instead? What sources are being cited? What does the answer suggest about how these systems understand your brand?

Know which SEO fundamentals still matter – and which assumptions need to change.
Don’t throw away what we’ve learned from traditional SEO. Build on it. But recognize that practices developed primarily to improve rankings may not be sufficient in an environment where an AI system is synthesizing the answer.

Make your content understandable to machines as well as people.
Clear structure, authoritative content and strong technical foundations have always mattered. They take on new importance when AI systems are interpreting your content and deciding whether it belongs in an answer.

Build for continual change.
A checklist of today’s AI search tactics will eventually become obsolete. The more durable investment is building the people, processes, content and technology that allow your organization to keep learning as discovery evolves.

If you’re involved in your organization’s discoverability and visibility strategies, it’s a thrilling time. You are (or should be) combining proven SEO practices with emerging AEO and GEO approaches. You’re evaluating content, technical infrastructure and digital experiences through the lens of both human audiences and AI systems. And you’re continually testing how those systems find, interpret and surface brand content, then applying what you learn to real client challenges.

You’re busier than ever. Because you’re not just implementing SEO strategies.

You’re helping write the new SEO playbook.