What is structured data in SEO?

In SEO, structured data refers to schema.org markup, typically implemented as JSON-LD, that communicates page context to search engines. It tells crawlers what type of content a page contains (a product, a recipe, a FAQ) so that search engines can surface it in richer, more specific ways in search results.

What is structured data in AI and machine learning?

In AI and infrastructure contexts, structured data means information stored in typed, relational, queryable formats: databases, data warehouses, analytics systems. It's the kind of data that AI agents and models can access, retrieve, and reason over at scale. This is what Jensen Huang was describing at NVIDIA GTC 2026 when he called it 'the foundation of trustworthy AI.'

Are SEO structured data and AI structured data the same thing?

No. They share a name but operate at completely different layers. SEO structured data is a metadata signal layer that helps search engines categorize and display content. AI structured data is the underlying enterprise data architecture that AI systems are built on top of. One influences how a page appears in search results; the other is the substrate that AI agents run on.

Is GEO (Generative Engine Optimization) just rebranded SEO?

Largely, yes, at the tactical level. Most GEO advice reduces to the same fundamentals: write clearly, structure content logically, build authority, answer questions directly. Some genuinely new considerations exist (LLM citation patterns, AI Overview optimization), but even Google's Danny Sullivan has argued that 'good SEO is good GEO.' The new acronyms signal industry anxiety more than a fundamentally new discipline.

What should SEO professionals actually focus on as AI changes search?

Three things: First, understand what structured data actually means in AI contexts—it's about data infrastructure, not just schema markup. Second, recognize that entity clarity and extractable answers matter more than ever because AI systems need to cite and summarize. Third, stay focused on the fundamentals that have always worked: clear content, technical excellence, and genuine authority. The specific surface may change, but the underlying principles of being discoverable, extractable, and trustworthy remain constant.

"Structured Data," "AI-Powered," and the SEO Branding Problem

March 31, 2026

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Two weeks ago at GTC 2026, Jensen Huang called structured data "the foundation of trustworthy AI," his best slide of the entire keynote. He described a world where hundreds of zettabytes of unstructured data (documents, video, logs) get transformed into structured, queryable knowledge so that AI agents can reason over it at scale. The concept of fusing structured data with generative AI, in his words, "will repeat itself in one industry after another industry after another industry."

That's an infrastructure argument. A $1 trillion argument. It's about how enterprises govern data so that agents can access, retrieve, and act on it reliably.

SEO also talks about structured data a lot. It means something else entirely.

The Acronym Treadmill

If you've been in SEO for any length of time, you've watched the field do this before. A new technology emerges, the industry borrows its language, and suddenly existing work gets repackaged with a more impressive label.

The current cycle has produced GEO, AEO, LLMO, GAIO, and AISO: a wave of new acronyms jostling to name "the new era of AI search." Even Google pushed back, with Danny Sullivan arguing that "good SEO is good GEO" and that the same fundamentals driving traditional rankings also drive AI Overview appearances. The industry largely ignored him and kept coining terms.

To be clear: some of what's being described under these labels is genuinely new. Optimizing for LLM citation patterns is different from optimizing for a ten-blue-links SERP. The shift in how people research, moving between Google, ChatGPT, and Perplexity depending on query type, is real and worth taking seriously.

But one respected SEO, Ann Smarty, put it plainly: "I don't think there is anything unique that we are doing for AI optimization vs what we have always done for SEO." And when you look at the actual tactical advice underneath most GEO/AEO content, she's largely right. Write clearly. Structure your content logically. Build authority. Answer questions directly. Use schema markup. These aren't new ideas in new clothes. They're the same ideas in new clothes.

Where the Conflation Gets Costly

The terminology gap would be harmless if it were just marketing fluff. The problem is it obscures where the real disruption is actually happening and where SEO genuinely needs to evolve.

When Jensen talks about structured data, he's talking about agents that need to access memory (KV cache, structured data, unstructured data) and infrastructure redesigned from the ground up to serve that access at inference scale. That's a fundamentally different conversation than whether your FAQ schema helps Google surface a rich result.

The AI layer that SEO is trying to influence, the one that decides what gets cited in an AI Overview or a ChatGPT response, is built on top of infrastructure like what Jensen is describing. SEO sits at the content and signal layer, not the infrastructure layer. That's not a criticism. It's just true. And pretending the gap doesn't exist makes it harder to have honest conversations about what SEO actually needs to become.

What Honest Evolution Looks Like

The SEO field is at a genuine inflection point. The surfaces where content gets discovered are multiplying. The signals that determine trust and citation are shifting. There are real, meaningful questions about how to remain visible in a world where answers increasingly get synthesized rather than linked to.

Those questions deserve precise thinking, not AI-adjacent branding borrowed from a different industry's vocabulary. The practitioners who will navigate this best are the ones who can distinguish between what's actually changing in their domain and what's just wearing a new acronym.

"Structured data" means something in SEO. It means something else entirely in the world Jensen Huang is building. Knowing the difference is the beginning of figuring out what SEO's role in that world actually is.