You don't need to write the code. You need to know what to ask
for.
The modern PR Team's Cheat Sheet for AI visibility starts with
understanding structured data. Schema
markup used to be an SEO concern. In an AI search world, it's a PR
concern, because schema is how machines parse the facts of your brand:
who you are, who runs you, what you sell, and what others have said
about you. Get it right and your content becomes easier for AI to
retrieve, cite, and recommend.
The Five Schemas Every Brand Needs
1. Organization
The foundational entity for the company. It tells AI your legal name,
founding year, founders, headquarters, social profiles, logo, and key
official URLs. Every site needs one Organization schema in the
homepage source code, complete and accurate.
2. Person
Used for executives and named experts. Each Person schema includes name, title,
employer, education, notable affiliations, and links to verified
profiles. This is how AI knows the difference between two CEOs with the
same name.
3. Product (or Service)
For each major product or service. AI recommendation queries lean
heavily on Product schema to
surface what a brand actually sells and how it differs from
competitors.
4. FAQ
FAQ schema explicitly maps
questions to answers in a format models can extract. The questions
should be the actual queries customers ask. The answers should be
definitive, sourced, and dated. FAQ schema on your top 20 highest-intent
pages is one of the highest-leverage AI moves available.
5. Article
For every editorial piece on the site — Article schema with headline,
author, date published, date modified, and publisher. This is how AI
knows your insights are current and authored by a credible source.
What to Brief Your Web Team to Do
Audit the homepage and top 20 pages for existing schema. Most sites
have partial or outdated implementations. Implement or update
Organization schema with full Wikidata-aligned attributes. Add Person
schema for the C-suite and key spokespeople.
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
