fbpx

The Untold Story of AI Search in 2024: What Structured Data Shows Us

2 min read

The structured data landscape in 2024 has transformed significantly, driven by AI-powered search engines, the need for machine-readable content, and the imperative to ground large language models (LLMs) in factual data. This shift marks a departure from traditional SEO practices to a more sophisticated ecosystem supporting AI discovery systems.

Notable developments include Google’s discontinuation of certain rich results, like FAQs and HowTos, in 2023, offset by the introduction of innovative structured data types such as vehicle listings, vacation rentals, and 3D product models. By early 2024, Google further expanded support with product variantsGS1 Digital Links, and structured data carousels, signaling a rapid evolution in the way data is consumed and utilized.

 

Key Trends in Structured Data Adoption

 

The 2024 HTTP Archive’s Web Almanac analysis of 16.9 million websites reveals compelling trends:

  • JSON-LD adoption climbed to 41% (+7% YoY).
  • Open Graph implementation reached 64% (+5% YoY).
  • X (Twitter) meta tag usage surged to 45% (+8% YoY).

These figures highlight a growing investment in structured data to enhance AI understanding and improve digital experiences, beyond traditional SEO visibility.

 

AI Discovery: The Role of Knowledge Graphs

 

Structured data now serves as a foundational layer for AI-powered discovery:

  • Platforms like Google Gemini and Bing Copilot leverage knowledge graphs for precise, entity-based search results.
  • Generative AI tools like DataGemma ground responses in structured markup to enhance factual accuracy.
  • Specialized engines like SearchGPT show entity understanding for local and product queries, powered by schema.org integrations.

 

Semantic SEO: A Paradigm Shift

 

SEO has evolved into Semantic SEO, emphasizing entity relationships and interconnected data structures:

  • Entity-based optimization: Clear entity definitions, attributes, and sameAs properties for disambiguation.
  • Content networks: Clustered content with rich media markup to support AI-based systems.
  • Rich media integration: Structured image and video data for improved visibility and engagement.

 

Insights for Local Business and Ecommerce

 

  • Local businesses: Precision in location and accessibility markup, such as geo-coordinates and contact details, dominates.
  • Ecommerce: Product-specific structured data, from reviews to detailed attributes like shipping and price specifications, continues to drive visibility and conversions.

 

The Future of Structured Data

 

Structured data is no longer just an SEO tool; it’s a strategic layer powering the semantic web. As AI search and discovery systems evolve, organizations must adopt structured data as the backbone for machine-readable, interconnected frameworks.

From enhancing traditional search visibility to training LLMs and enabling new AI applications, the role of structured data is expanding. Investing in advanced schema implementations will position businesses at the forefront of the AI-powered digital landscape.

 

Acknowledgments

 

This analysis is based on insights from the 2024 HTTP Archive’s Web Almanac. Special thanks to contributors Nurullah Demir, James Gallagher, Jarno van Driel, and Barry Pollard for their expertise.

The future is here—structured data is no longer optional. It’s the cornerstone of discoverability in an AI-driven world.

 

If navigating the complexities of SEO feels overwhelming, let the experts handle it for you! Explore our monthly SEO packages and watch your online presence thrive effortlessly.

Shilpi Mathur
navyya.shilpi@gmail.com