Welcome To,
Knowledge Graph Api is powered by Google's knowledge graph search API, WikiPedia API & Wikidata API to help marketers like you to create semantically related content.
Discover a much easier, clearer & understandable way to search Google's knowledge graph WikiPedia & WikiData API search results.
Experience a smarter way to interact with Google's Knowledge Graph.
A Knowledge Graph is an organized representation of real-world entities and the relationships between them.
With our Knowledge Graph Search API, you can quickly search and retrieve semantically related entities from Google’s Knowledge Graph, Wikidata, and Wikipedia.
This makes it easier to enrich your content with authoritative entities and streamline the creation of Schema.org JSON-LD structured data, helping search engines better understand and rank your pages.
Discover and integrate verified entities that improve clarity and context for both readers and search engines.
Easily generate JSON-LD markup linked to Wikidata and Google Knowledge Graph entities, boosting your chances of rich results.
Disambiguate topics, improve topical authority, and enhance semantic relevance in search rankings.
Retrieve entity data directly from trusted sources to accelerate content workflows and reduce manual research.
Effortless Knowledge Graph Searches: Incorporating Google Knowledge Graph entities into your content ensures that the topics you write about are clearly understood by search engines.
Each Knowledge Graph identifier points to a specific, unambiguous concept, helping disambiguate terms that may otherwise be vague or confusing.
By referencing these entities in your content and structured data, you give Google stronger context, which can improve how your pages are indexed, increase eligibility for rich results, and strengthen your topical authority across related subjects.
Why use Wikidata entities in your content and schema. Linking your content to Wikidata entities brings structure, clarity and discoverability. Each Wikidata item (a stable QID like Q1323528 - Digital marketing) is a persistent, language-aware identifier for a real-world concept — a person, place, organization, event, concept or product.
When you reference those QIDs from your site copy and your Schema.org JSON-LD, you’re telling search engines and other consumers exactly which thing you mean. That removes ambiguity (is “Jaguar” the car or the animal?) and helps machines connect your page to the wider web of knowledge.
Easily generate JSON-LD markup linked to Wikipedia, Wikidata and Google Knowledge Graph entities, boosting your chances of rich search engine serp results.
Improved search visibility – Entities from Google’s Knowledge Graph help search engines interpret your content with precision, increasing your chances of ranking for rich results.
Credibility & authority – Linking to Wikipedia entities connects your content with one of the web’s most trusted and recognized sources.
Clarity & disambiguation – Entities ensure that terms like “jaguar” (car vs. animal) are correctly understood in the context of your content.
Structured enrichment – Embedding entities in JSON-LD provides a machine-readable layer that boosts discoverability across platforms and datasets.
Using ESCO concept schemes allows you to build entity-rich, semantically structured content that mirrors how search engines understand professional services and skills.
For local businesses, this means greater visibility in local search results, stronger E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals, and better alignment with how Google surfaces service-based businesses.
By referencing ESCO concepts such as occupations, skills, regulated-professions, and isco, your content aligns with structured, authoritative vocabularies already recognized in semantic search.
Knowledge Graph API Credits Refresh Every Month.
Knowledge Graph API Credits Do NOT Roll Over
To access our Knowledge Graph API, You first need to subscribe to one of our monthly subscriptions above.
When you have an active subscription, You can use the members login page.
One credit is equal to one search result returned.
If your search returns 10 results - You will be charged 10 credits.
If your search returns 100 results - You will be charged 100 credits, And so.
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You can cancel your subscription anytime.