Entity Website Analysis – Practice Walk Through based on fictional Case Study

Theory becomes easier to apply when you see it worked through end to end. This lesson uses a fictional project management software company, Acme, that wants visibility for a competitive query about the best project management tool for remote teams. It shows how an entity-based approach shapes the content architecture, the writing and the technical markup needed to compete for that query in search and AI answers.

What this lesson covers

• Identifying core product entities and the context entities that frame the use case
• A three-tier architecture of pillar page, cluster content and FAQs
• The idea of an ontological core and why clear foundations help machines trust you
• Defining differentiating attributes and targeting the sub-questions people ask
• Writing citation-ready comparison pages and entity-rich FAQs
• Mapping schema types to pillar, cluster, team and home pages

The case study starts by separating product entities from context entities such as remote teams, time zones and asynchronous communication, which tell engines what situation the content addresses. The pillar page acts as the central hub, cluster articles cover comparisons, features, pricing and use cases in a balance between company-focused and category-focused content, and FAQs appear at both hub and cluster level to match conversational search. The lesson draws on the concept of the ontological core, attributed to Tony Seale, to explain why the deepest, most stable definitions of an organisation should sit at the centre of everything else.

Differentiation is presented as both a business decision and an editorial one. Defining the attributes that set a product apart from established competitors makes comparison content sharper. The lesson shows what a strong comparison page looks like: entities named in the opening sentences, differentiators stated early and verifiable facts such as pricing included. FAQs should name multiple entities and include explicit facts, and each spoke page gets FAQs that match its purpose. On the technical side, the lesson outlines Article schema with “about” properties and FAQ markup on the pillar, product markup on clusters, Person entities for the team and an Organization entity on the home page. It ends with a quick test for whether a paragraph is citation-ready and lists the tools used in the analysis.

This lesson closes the practical part of Module 1, Understanding Entity-Based Search in the LLM Era, and previews the structured data work in later modules. It helps SEOs, content leads and SaaS marketers who want a concrete model for planning entity-led content around one high-value query.