Enterprise format · Growth plan
Turtle
Compact RDF triples.
4 / 5GEO score
TTL · Geordypage.ttl
Why it matters
Turtle is the most human-readable serialization of RDF, the W3C standard graph data model that LLMs and search engines parse to extract entity relationships. Publishing knowledge as Turtle makes facts explicit, typed, and link-resolvable, which improves accuracy and grounding for AI consumers compared with prose.
Geordy generates this format for every page on your site that warrants it - auto-detected by page type, served from your subdomain, and refreshed on the cadence below.
Sample outputpage.ttl
@prefix geordy: <http://geordy.ai/ns#> . @prefix schema: <http://schema.org/> . ex:GeordyAI a geordy:AIPlatform ; schema:name "Geordy AI Platform" ; schema:url "https://geordy.ai" ; geordy:optimizesFor ex:GenerativeSearch .
Get it right
How to make this format work for AI.
DoBest practices
- Declare @prefix shortcuts at the top so URIs stay short and readable; reuse standard vocabularies (FOAF, Schema.org, Dublin Core, SKOS) instead of inventing new IRIs.
- Use language tags (@en) on human-language string literals and explicit XSD datatypes (^^xsd:date, ^^xsd:integer) on every literal where type matters.
- Group triples about one subject with the `;` predicate-list separator and use `,` for multiple objects to keep files compact and diff-friendly.
- Always end statements with a period; serve Turtle with the official MIME type `text/turtle` and UTF-8 encoding.
AvoidCommon pitfalls
- Forgetting the trailing period at the end of a statement - one of the most common parser errors.
- Confusing the special token `a` (which means rdf:type) with a regular property, or omitting prefixes that are referenced.
- Mixing up bare strings (`"2024-01-01"`) with typed literals (`"2024-01-01"^^xsd:date`) - downstream tools treat them as plain text and lose the date semantics.
Where it shines
Use cases, scored for AI visibility.
Knowledge graphsGEO 5/5
Linked dataGEO 4/5
Semantic annotationGEO 3/5
Used in production by
Real sites already shipping Turtle.
Working with it
Tools & resources for Turtle.
The trade-offs
Strengths
- Human-readable RDF
- Compact compared to RDF/XML
- W3C-maintained spec
Limitations
- Verbose for very large datasets
Spec sheet
Filename
page.ttl
Refresh cadence
weekly
Released
2008 · W3C Semantic Web Deployment Working Group
Read byKnowledge graph systemsSemantic search enginesChatGPTClaude
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