All Supported File Formats Overview
Geordy automatically generates and maintains multiple structured formats to ensure your website is fully GEO-Ready and readable by AI models.
Geordy automatically generates and maintains the following file types. Each format serves a specific purpose and together they ensure your website is fully GEO-Ready and readable by AI models.
Supported Formats
YAML
Core AI-readable site map and metadata structure.
Enables AI crawlers to interpret your content contextually.
Markdown
Clean text version of each page's main content.
Helps models read page context without code noise.
llms.txt
AI-specific access guide and dataset descriptor.
Informs AI crawlers what to read and how to access it.
Schema JSON
JSON-LD structured data for search engines.
Communicates entities like products, articles, or organizations.
RSS Feed
Content update feed for models and aggregators.
Signals fresh content and posting frequency.
manifest.json
Web app metadata for AI and app discovery.
Describes app name, icons, colors, and URLs.
humans.txt
Team or authorship credits file.
Provides attribution for your site's creators.
OG.json
AI-enhanced Open Graph reference.
Improves previews and social context for generated summaries.
DCAT
RDF-based data catalog vocabulary.
Positions content as a structured dataset for AI knowledge graphs.
Steno
Stenography dictionary format.
Maps abbreviations to full meanings for domain-specific AI understanding.
N3 (Notation3)
RDF logic-based notation.
Enables AI systems to reason about content with logical rules.
JSON Feed
Modern JSON-native syndication.
Streamlined content updates for modern AI crawlers.
TOML
Minimal configuration format.
Exposes technical metadata in a developer-friendly structure.
Turtle
Concise RDF serialization.
Expresses semantic relationships for the semantic web.
CUE
Data constraint language.
Validates structured data integrity for AI consumption.
ActivityPub
Decentralized social protocol.
Makes content discoverable in federated social networks.
Format Comparison Table
| Format | Purpose | Typical Use |
|---|---|---|
| YAML | Core AI-readable site map and metadata structure. | Enables AI crawlers to interpret your content contextually. |
| Markdown | Clean text version of each page's main content. | Helps models read page context without code noise. |
| llms.txt | AI-specific access guide and dataset descriptor. | Informs AI crawlers what to read and how to access it. |
| Schema JSON | JSON-LD structured data for search engines. | Communicates entities like products, articles, or organizations. |
| RSS Feed | Content update feed for models and aggregators. | Signals fresh content and posting frequency. |
| manifest.json | Web app metadata for AI and app discovery. | Describes app name, icons, colors, and URLs. |
| humans.txt | Team or authorship credits file. | Provides attribution for your site's creators. |
| OG.json | AI-enhanced Open Graph reference. | Improves previews and social context for generated summaries. |
| DCAT | RDF-based data catalog vocabulary. | Positions content as a structured dataset for AI knowledge graphs. |
| Steno | Stenography dictionary format. | Maps abbreviations to full meanings for domain-specific AI understanding. |
| N3 (Notation3) | RDF logic-based notation. | Enables AI systems to reason about content with logical rules. |
| JSON Feed | Modern JSON-native syndication. | Streamlined content updates for modern AI crawlers. |
| TOML | Minimal configuration format. | Exposes technical metadata in a developer-friendly structure. |
| Turtle | Concise RDF serialization. | Expresses semantic relationships for the semantic web. |
| CUE | Data constraint language. | Validates structured data integrity for AI consumption. |
| ActivityPub | Decentralized social protocol. | Makes content discoverable in federated social networks. |
Next Steps
Now that you understand all available formats, learn how to validate and test them in the next section.