Entity Repair: Semantic Misclassification at SAW.com
How entity-level semantic poisoning caused Google to misclassify SAW.com, why SEO fixes failed, and how structured entity repair restored correct business identity.
View case study →Case Studies
Real-world examples of entity repair, structured data optimization, and citation infrastructure — organized for context, problem, implementation, and outcome.
Portfolio
How entity-level semantic poisoning caused Google to misclassify SAW.com, why SEO fixes failed, and how structured entity repair restored correct business identity.
View case study →Client: TaskFlow (UK project management SaaS). Service schema, atomic content blocks, and entity disambiguation.
View case study →Client: Artisan Goods Co (Canadian e-commerce). Product schema with Offer, AggregateRating, and Brand entities.
View case study →Client: MedCare Australia (healthcare provider). MedicalBusiness schema and specialty mappings.
View case study →Client: PayBridge Singapore (payment processing). Regulatory compliance and security certification structured data.
View case study →Client: LearnHub Germany (online education). Course schema with accreditation and EducationalOrganization relationships.
View case study →Client: PropertyView Ireland (real estate). Place schema with geographic relationships.
View case study →For teams that need AI systems to retrieve, cite, and represent the right information, NRLC provides entity architecture, structured data engineering, retrieval signal implementation, and source-of-truth systems for AI-mediated discovery.