Glossary · Schema Markup
Schema Markup
Structured-data tags (typically JSON-LD) embedded on web pages that tell Google and AI engines what the page is about — used heavily in reputation work to control how a subject is summarised.
Full Definition
Schema markup is a vocabulary (defined at schema.org) used to annotate web pages with
machine-readable metadata. It tells search engines and AI systems exactly what a page
is about: who the subject is (Person), what the organisation does (Organization,
ProfessionalService), what services it offers (Service, Offer), and how to cite it.
In reputation and AI-search optimisation, schema markup is the difference between a
page being correctly understood and being misinterpreted. A "Person" schema with
correct sameAs links (Wikipedia, Wikidata, LinkedIn) lets AI engines verify identity.
A "VideoObject" schema lets a case-study clip appear in Google Video search. A
"FAQPage" schema gets a brand's answers cited in AI Overviews.
Modern reputation work treats structured data as a first-class deliverable — every
canonical surface a subject controls ships with rich, valid schema.
In practice
- An executive's company page has full Organization + Person + LocalBusiness schema; Google's Knowledge Panel pulls clean facts directly from the page.
- A case-study video grid uses VideoObject ItemList schema; the videos appear in Google Video Search and Perplexity uses them as citations.
Also known as
structured data · JSON-LD · schema.org
Related terms
Online Reputation
The aggregate impression of a person, brand, or institution generated by every public-facing digital surface — search results, social media,…
AI Reputation
The portion of a subject's online reputation that AI assistants (ChatGPT, Claude, Perplexity, Gemini, Copilot) generate when summarising the…
GEO (Generative Engine Optimisation)
The discipline of optimising content so that AI assistants (ChatGPT, Claude, Perplexity, Gemini) cite a subject favourably and accurately wh…