Schema Gorilla — Whole-Site Entity Graph Analysis and Machine-Readable Business Identity Assessment

Schema Gorilla is a whole-site structured-data and entity-graph analysis framework developed by Sydney Business Web. It identifies fragmented business identities, conflicting entity representations, competing identifiers, broken relationships, and other structural inconsistencies that may not be apparent when schema markup is validated one page at a time.

Production case study: Schema Gorilla has subsequently been applied to the live Sydney Business Web production website using a fresh whole-site Discovery dataset. The analysis processed 273 eligible pages, resolving 14,577 structured-data nodes and 36,414 relationships across 28 entity clusters, with zero findings under ruleset 2.2.

Read the full production case study: https://sydneybusinessweb.com.au/schema-gorilla-case-study-whole-site-analysis/ 

Technical authorship: Keith Rowley, Co-Owner and Lead Engineer, Sydney Business Web. BSc (Hons), MBA; former Professional Engineer (Pr.Eng.) and MSAIEE.

This public deposit documents the architecture, methodology, evidence model and technical design of Schema Gorilla. The production implementation, proprietary source code, internal rules, thresholds, authentication mechanisms, customer data and remediation procedures remain proprietary to Sydney Business Web and are not included in this deposit.