Vesna Scepanovic 
The FAQ schema is only as smart as the answers inside it.
With AI Overviews reshaping search, surface-level markup won’t get you very far, even if the tags are correct.
So we asked: Can generative AI go beyond formatting and deliver FAQ content that performs in the SERP and in context?
What We Tested
We gave different top AI tools the same focused prompt to see how well they could write content that’s both structured for the FAQ schema and optimized for AI-driven search features.
The topic was a sweet spot between technical SEO and AI: how structured data helps AI understand and present content?
Let’s see if AI can deliver the kind of content you’d confidently drop into an FAQ schema block or count on to trigger an AI Overview.
The Prompt
Write short, AI-optimized answers to the following FAQs. Make them accurate, easy to read, and structured for use in schema or AI Overviews.
- How does AI use structured data in search?
- Can schema markup improve AI search visibility?
- What types of structured data help AI understand pages?
The Results
We ran this prompt across ChatGPT 5, Claude Sonnet 4, Gemini 2.5 Flash, and Gemini 2.5 Pro. Each gave a workable response, but some were closer to the finish line when it came to crafting clean, well-structured answers fit for the FAQ schema.
Here’s how they compared:
ChatGPT 5
ChatGPT 5 delivered a well-balanced, schema-ready output with a clear tone and solid structure. While there was some redundancy between answers, minimal editing would resolve it easily.
Claude Sonnet 4
Claude Sonnet 4 delivered clean, structured answers with a professional tone and strong schema alignment. While formatting was solid, the output felt slightly generic and could benefit from sharper phrasing to boost its impact in AI Overviews.
Gemini 2.5 Flash
Gemini 2.5 Flash delivered clear, accurate answers in a format that was easy to structure for markup. However, the language felt overly formal and occasionally bloated, which could require trimming to suit conversational or AI-friendly formats better.
Gemini 2.5 Pro
Gemini 2.5 Pro shared the same structured, informative approach as Flash, with answers that were accurate and easy to map into schema. However, the style leaned toward generic phrasing and lacked the concise sharpness needed for AI-friendly formats. Some editing would still be required to make it ready to publish.
The Verdict
This test shows that AI can absolutely write usable FAQ schema blocks when the prompt is focused and the topic is structured. All four tools generated answers that were accurate and organized, but not equally polished.
What tipped the scale was clarity, tone, and readiness to deploy. ChatGPT-4.0 stood out for its balance of readability, structure, and minimal need for revision, making it the best candidate for fast, schema-friendly output.
But while it checks every technical box, it still misses the strategic ones. There’s no voice, tone adaptation, or sense of audience. It explains what schema is for, but not why it matters, or how it connects to outcomes like visibility, engagement, or conversions.
Zlurad PoV
AI is a solid starting point for building FAQ schema blocks, especially when the prompt is sharp and specific. But if you’re aiming for visibility and impact, structure alone isn’t enough.
AI gives you answers. Humans give them meaning.
To create content that earns the click, you still need that layer of context, tone, and strategic intent. And that’s what turns a functional FAQ into a persuasive one.
Let the machine do the groundwork. Then bring in your voice, your insight, and your edge.
What Say We?
Solid prompt. Smart output.
Just remember: the machine answers, but we make it matter.