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SEOntology

SEOntology is an open, Schema.org-aligned OWL 2 ontology for modeling search engine optimization work as a knowledge graph: web pages and their URLs, the queries they rank for, links and link groups, content chunks, search and analytics metrics, quality scores, and structured-data profiles. Agents, applications and researchers can use it as a shared vocabulary to reason about, audit and optimize web content.

Best Student Paper at SEMANTiCS 2026

The paper SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows by Emilija Gjorgjevska, David Riccitelli, Milos Jovanovik and Andrea Volpini won Best Student Paper at SEMANTiCS 2026 (Research Track).

SEOntology overview

At a glance

Namespace https://w3id.org/seovoc/
Preferred prefix seovoc:
Builds on Schema.org
License MIT
Source github.com/seontology/seontology

Start here

  • New to SEOntology? Read Getting started for a first example in JSON-LD, Turtle and SPARQL.
  • Modeling your data? The core model explains how pages, queries, links, chunks and metrics fit together. The ontology reference documents every class and property.
  • Building an agent or tool? See For agents for the machine-readable files: the ontology in Turtle, RDF/XML and JSON-LD, a JSON-LD context, and llms.txt.
  • Proposing a change? Follow Contributing ontology proposals.

Use cases

  • AI-powered content summarization and metadata generation
  • Semantic internal linking via chunk and query similarity
  • Entity linking and disambiguation in web content
  • Graph-based internal linking optimization
  • Query clustering and intent modeling for content strategy
  • Training goal-relevant reasoning models using SEOntology and GRPO
  • Provenance tracking for SEO actions and content evolution
  • Multilingual SEO alignment and semantic consistency
  • SERP feature optimization for enhanced search visibility
  • Automated image captioning and SEO optimization

SEOntology was initially developed by WordLift and is enriched by contributions from SEO experts, knowledge engineers and developers.