Our Occupation Skills Entity API Search is powered by ESCO (European Skills, Competences, Qualifications and Occupations) concept schemes. ESCO datasets are machine-readable vocabularies that define occupations, skills, competences, qualifications, and their interrelations. Using them when creating content has direct SEO and entity-based content marketing benefits, especially for local businesses.
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View the results of your FREE Occupation Skill API search below
Entity-driven SEO alignment:
Search engines like Google increasingly use entity-based indexing (Knowledge Graph, MUM, and BERT).
By referencing ESCO concepts such as occupations, skills, regulated-professions, and isco, your content aligns with structured, authoritative vocabularies already recognized in semantic search.
For example, if you run a local plumbing company, associating your content with ESCO’s defined occupation “plumber” and related skills (e.g., “installing pipe systems”) makes your business appear more relevant and authoritative to queries about plumbing services.
This expands topical coverage: instead of just saying “We offer web design”, you can naturally include skills like “front-end development, UX design, responsive layout, coding in HTML/CSS”.
The result: search engines see comprehensive coverage of a topic, which boosts visibility for both broad and long-tail local searches.
Regulated-professions and member-occupations let you show compliance and trustworthiness, which is critical for local businesses subject to licensing (e.g., electricians, dentists, real estate agents).
Including these signals in your content (and even structured data / schema markup) reassures both search engines and customers that your services meet professional standards.
Structured, Semantic Data Aligns with Search Engine Algorithms:
SEO Benefit: Modern search engines like Google prioritize semantic understanding and structured data to deliver relevant results. ESCO’s concept schemes provide standardized, machine-readable taxonomies of skills, occupations, and qualifications (e.g., http://data.europa.eu/esco/concept-scheme/skills for skills like "conduct search engine optimisation" or http://data.europa.eu/esco/concept-scheme/occupations for roles like "digital marketing manager"). These align with schema.org and knowledge graph entities, which search engines use to understand content context.
Entity-Based Content: Entities are distinct, well-defined concepts (e.g., a specific skill, occupation, or industry) in Google’s Knowledge Graph. By incorporating Occupation and Skill URIs, titles, and descriptions (e.g., from member-skills or isco), you create content that directly maps to recognized entities. Improving relevance for search queries.
Keyword Relevance and Topical Authority:
SEO Benefit:Taxonomies provide precise, industry-standard terminology (e.g., skill-ict-groups for ICT skills like "web analytics" or member-occupations for roles like "web developer"). Using these terms in content ensures you target high-intent, niche keywords that align with what professionals and clients search for.
Entity-Based Content: By structuring content around ESCO concepts (e.g., skills from skills-hierarchy like "digital marketing" or "content creation"), you establish topical authority. Search engines recognize content that comprehensively covers a topic (e.g., all skills related to SEO from member-skills), boosting rankings for related queries.
Local Business Impact: A local business can create service pages or blog posts using ESCO terms (e.g., "social media marketing" from skills) combined with local modifiers (e.g., "social media marketing in Manchester"). This targets long-tail, location-specific queries, increasing click-through rates from local searchers.