Schema & entities
Structured data, entity graphs and knowledge-base alignment so models can attribute facts to you with confidence.
The problem this solves
Models trust claims that are consistent and verifiable. Disconnected product names, missing sameAs links and unmarked up facts leave your brand ambiguous — and ambiguity loses citations.
What you get
- Entity model for the organisation, products, people, locations and services you want recognised
- Schema deployment: Organization, Product, Offer, FAQ, Article, HowTo, Review and Breadcrumb coverage
- Wikidata and knowledge-panel alignment where the category allows it
- Machine-readable fact sheets: pricing, specifications, comparisons and statistics in citable formats
- Monitoring for schema drift and rich-result eligibility
Schema & entities operating rhythm
Every phase produces an artifact you can inspect, and nothing is reported as done without production evidence.
Step 1
Define a single canonical name, description and identifier set for every entity you want models to know.
Step 2
Publish that definition in schema, on-page copy and third-party profiles so all three agree.
Step 3
Validate in Google, Bing and structured-data tooling, then monitor rich results and entity resolution over time.
What we report against
- Schema coverage on money pages
- Entity resolution accuracy in model answers
- Rich result and knowledge-panel eligibility
Start with a free schema & entities review
Send the domain and we will benchmark the prompt clusters that matter to your category, then show which of the four layers is blocking citations.