A step-by-step guide to building an automatic JSON-LD Knowledge Graph for PHP blogs to improve AI citation visibility. The system uses four stages: querying post metadata from MySQL, keyword-based entity detection, relationship mapping between posts, and assembling a unified @graph with five connected schema.org entities (WebSite, Organization, Person, WebPage, BlogPosting). Key techniques include persistent @id identifiers, automatic topic/tool detection via strpos(), citation and relatedLink properties for post relationships, multilingual workTranslation support, and the abstract property for LLM readability. The author reports real production results: indexed pages doubled and AI models began citing the content after three months.
Table of contents
Table of ContentsPrerequisitesThe PipelineWhat Static JSON-LD Looks Like (And Why It Falls Short)Step 1: Define Your Entity HelpersStep 2: Build the BlogPosting SchemaStep 3: Add Automatic Entity DetectionStep 4: Map Relationships Between PostsStep 5: Add Multilingual SupportStep 6: Assemble the GraphWhat the Output Looks Like in ProductionTesting Your ImplementationWhat I Learned After 3 Months in ProductionWrapping UpSort: