What is a grounding page?

A grounding page is a single, authoritative, and machine-readable web page that serves as a citable source of facts (source of truth) for exactly one entity or topic. AI systems such as ChatGPT, Google Gemini, Perplexity, and Google AI Overviews access these pages during the so-called "grounding" step to back up their answers with verifiable facts.

What does "grounding" mean in the context of AI systems?

Grounding refers to the technical process by which a language model anchors its response to external, verifiable sources. Instead of responding solely based on its training data, the system retrieves relevant text passages during the grounding step to support its statements. The key point here is that the AI does not search for a clickable link, but rather for a text segment (chunk) that it can incorporate directly into its response. Three factors are evaluated in particular: semantic fit, information density, and factual accuracy.

How does a grounding page differ from a traditional SEO page?

A classic SEO page is optimized for click-through rates and search rankings. A grounding page is optimized for citability. Both draw on the same content, but evaluate it according to different criteria:

A grounding page is thus the machine-readable evolution of the classic “About Us” or definition page: consistently designed to provide clarity on entities for machines.

What makes a good grounding page?

A grounding page meets five requirements:

1. One topic, one entity: The page focuses on exactly one term, one brand, or one person—no mix of topics.
2. Standalone, citable chunks: Each paragraph fully answers a question without relying on the context of the rest of the text, following the definition pattern “X is …”.
3. Machine-readable structure: Structured data via JSON-LD (e.g., DefinedTerm) make the entity and facts explicit.
4. Accuracy and timeliness: specific figures, data, and a visible update date instead of vague statements.
5. Consistency Across Sources: Names, facts, and details are consistent across all platforms—linked via sameAs. This pays directly into E-E-A-T one.

How do you build a grounding page?

The process consists of five steps:

1. Step 1: Define the entity and formulate the core fact in a single sentence.
2. Step 2: Answer the logical follow-up questions (W-questions) as separate sections—each as a standalone chunk.
3. Step 3: Add structured data: for terms DefinedTerm, for businesses Organization.
4. Step 4: Consistently reflect the facts about external platforms and via sameAs link.
5. Step 5: Keep the information up to date—update dates and numbers regularly.

Grounding Page and GEO: How Are They Related?

Grounding pages are a key component of Generative Engine Optimization (GEO). GEO controls how entities, sources, and meanings are incorporated into AI responses. The grounding page provides the citable factual foundation for this, while GEO organizes the distribution and interlinking of these facts across multiple sources. Anyone who wants to be visible in ChatGPT, Gemini, or Perplexity needs both: clean grounding pages and a consistent entity structure beyond them. Semantic SEO provides the content foundation for this.

Frequently Asked Questions About Grounding Pages

Does Every Website Need a Grounding Page?

Not every single page, but every important entity. It’s worth creating a separate grounding page for the brand, the core service, and the key technical terms so that AI systems can clearly identify and reference these entities.

Is a grounding page the same thing as a landing page?

No. A landing page is designed to drive conversions and clicks, while a grounding page is designed to be citable by AI systems. Both can coexist and serve different purposes.

What structured data should be included on a grounding page?

Depending on the type DefinedTerm (term), Organization (brand) or Article – always using explicit, machine-readable facts and consistent sameAs-Links.