ENTITY HARDENING
Schema Markup
Service
Full @graphJSON-LD stacks that make your business machine-legible to AI answer engines, Google's Knowledge Graph, and every major LLM citation system.
Why AI Ignores Most Websites
AI answer engines — ChatGPT, Gemini, Perplexity, Google AI Overviews — do not read your website the way a human does. They parse structured data. When a user asks “Who is the best SEO agency in Clearwater?” the AI queries its knowledge graph, not your homepage copy. If your entity is not in the graph, you do not exist in the answer.
The vast majority of websites have either no schema markup, or fragmented schema that creates conflicting entity signals. Both conditions result in the same outcome: the AI cannot confidently identify the business, so it does not cite it. This is what Anthony James Peacock calls “Structural Decay” — the invisible erosion of digital identity that makes businesses disappear from AI-era search.
The Full @graph Stack
Every schema type connected in a single coherent graph with consistent @id anchors.
Primary entity node with name, URL, logo, address, and sameAs links to LinkedIn, Wikidata, and all satellite properties.
Founder/owner entity with jobTitle, sameAs LinkedIn anchor, and bidirectional link to the Organization node.
Site-level entity with SearchAction for sitelinks search box eligibility and canonical URL declaration.
Page-level entity with isPartOf linking to WebSite, breadcrumb reference, and service-specific properties.
Structured navigation path on every page for SERP breadcrumb display and entity hierarchy signalling.
Structured Q&A on every page for featured snippet eligibility and AI answer engine citation.
Full article schema with author, datePublished, dateModified, and ImageObject for rich results.
Address, phone, hours, and geo coordinates for local Knowledge Panel entry and map pack eligibility.
Frequently Asked Questions
What is schema markup and why does it matter for AI visibility?+
Schema markup is structured JSON-LD code that tells AI systems and search engines exactly what your business is, who owns it, and what it does. Without it, AI answer engines like ChatGPT, Gemini, and Google AI Overviews cannot reliably identify or cite your business. With a full @graph schema stack, your entity becomes machine-legible and eligible for Knowledge Graph entry.
What schema types does LinkDaddy implement?+
LinkDaddy implements Organization, Person, WebSite, WebPage, Service, BreadcrumbList, FAQPage, Article, BlogPosting, ImageObject, and LocalBusiness schema types, all connected in a single @graph array with consistent @id anchors and Wikidata sameAs links for maximum entity salience.
How long does schema markup implementation take?+
A full @graph schema stack implementation for a standard business website typically takes 3-5 business days. This includes entity research, Wikidata cross-referencing, schema authoring, validation, and deployment. Knowledge Graph entry can take 4-12 weeks after implementation as Google processes the new entity signals.
ENTITY HARDENING
Make Your Business Machine-Legible
Get a full @graph schema audit and implementation from the team that built the FIF Protocol.