Structured Data in an AI-Driven Search Era – What You Should (and Shouldn’t) Do

Mixed advice on schema? This guide explains when structured data still helps, when it’s wasted effort, and how to make smarter choices in AI-driven search.

Shay Clark • December 12, 2025

Most folks who work in SEO have heard plenty of mixed advice about structured data. Some swear you need to mark up everything. Others say Google’s AI can figure out almost anything on its own. This post is for people caught in the middle — the ones trying to sort out what’s actually worth their time and what isn’t in an AI-heavy search environment. It’s a quick guide to knowing when schema markup helps, when it adds nothing, and how to make smarter calls.

The Schema Dilemma in Modern SEO

I recently found myself explaining the difference between structured data and schema markup to a colleague. He was surprised when I said you don’t always need to mark up every little thing on your site.

Here’s the distinction:

• Structured data is any structured description of information. It can take multiple forms (JSON-LD, Microdata, RDFa, feeds, APIs, etc.).
• Schema.org is the vocabulary — the “names and labels” for describing things like products, events, FAQs, and people.
• Schema markup is the actual code you put on the page (typically JSON-LD) using the Schema.org vocabulary.

A simple way to think about it:

Structured data is the concept. Schema.org is the dictionary. Schema markup is the sentence you write using that dictionary.

With that in mind: Use schema markup only when a search engine would struggle to understand your page without clearer structure.

An FAQ page or how-to guide? Usually easy for Google to understand from plain text alone. A complex product page with prices, sizes, colors, reviews, SKU, availability? That benefits from schema markup because it translates those details into structured data a machine won’t misread.

• Simple page: Schema markup is optional.
• Complex page: Schema markup prevents lost meaning and keeps Google from guessing.

Search engines are smarter than they used to be. With current AI systems, they can interpret much of a page from the natural structure of HTML. That doesn’t make structured data irrelevant — it just means you should be selective about where you add schema markup.

Structured data

Any machine-readable structured info

Example:

Price feeds, Schema.org markup, product data feeds

Schema markup (the library)

The set of labels/definitions for describing entities.

Example:

Product, Review, Event

Schema markup (the code)

Your actual JSON-LD using Schema.org terms.

Example:

<script type="application/ld+json">…</script>

Schema Markup as Training Wheels

Think of structured data like training wheels on a bicycle for search engines. In the early days, those training wheels were a lifesaver — they helped a “wobbly” younger Google keep its balance and understand what our pages were about. We added schema markup for everything under the sun because the search engine needed that extra guidance to avoid misunderstandings. We labeled questions and answers with FAQ schema, wrapped step-by-step instructions in How-To schema, marked up recipes, events — all to spell things out clearly. Back then, those training wheels often led to rich search results and snippets, rewarding the effort.

But what happens when the kid grows up and gets better at riding? At some point those training wheels start slowing them down. Today’s search engines have grown up, at least for a lot of basic content. With modern AI and natural language processing, Google can understand the intent and structure of your content without as much hand-holding.

In fact, Google itself has started to phase out or reduce certain rich results that depended on schema. In August 2023 Google announced it was downgrading the visibility of FAQ rich results for most sites and removing How-To results on mobile — telling publishers that marking up every Q&A or tutorial isn’t a guaranteed ticket to a special snippet anymore. For most websites, FAQ rich results “will no longer be shown regularly,” except for a few authoritative cases. This was a big sign of the times: The search engine has gotten better at finding the question-and-answer pairs or the how-to steps in your content on its own (and it also wanted to declutter the results).

The training wheels analogy is key: When the path is smooth and straight, you don’t need extra support. Likewise, when your content is simple or inherently structured by itself, adding schema markup on top can be overkill.

A straightforward FAQ section on a page – with clearly written questions and answers in HTML – is usually crystal clear to Google’s algorithms and AI without any special JSON-LD code. An article with a list of steps like “Step 1, Step 2, Step 3…” is a how-to guide, even if you didn’t explicitly wrap it in