Mazorda

Entity-Based SEO for GTM

Shift from keyword-only SEO to entity-driven optimization so AI systems can identify, trust, and cite your brand across ChatGPT, Perplexity, Gemini, and AI Overviews.

Goal: Establish brand as a citable authority in AI-driven discovery for priority GTM topics.

Complexity

Medium

Tools

7

Context

The Problem

What breaks:

  • Zero-click behavior reduces traditional SERP traffic
  • AI systems parse entities and relationships, not keyword density
  • Brands without structured entity signals are invisible in AI answers
  • Competitors building entity authority become default citations

Why it matters:

AI citations now function like compounding trust signals and high-intent discovery pathways.

Resolution

The Solution

Foundation (Week 1-2)

  • Audit brand/entity visibility across AI engines
  • Implement core schema (Organization, Person, Article, Product, FAQ)
  • Publish definitive entity-defining content

Authority Build (Week 2-4)

  • Expand entity relationships in content and internal links
  • Add advanced schema (HowTo, ItemList, DefinedTerm where relevant)
  • Build external knowledge graph presence (Wikidata, major profiles)
  • Run ongoing citation testing and prominence tracking

Expected Metrics

15-25% Share-of-Answer by month 3

AI citation rate

+30-40% with full implementation

GEO visibility

100% valid structured data on target pages

Schema validation coverage

When NOT to Use

  • No meaningful content foundation yet
  • No external brand footprint or authority signals
  • Short-term only expectations with no 3-6 month horizon

Tools & Tech

Google Search Console
Schema.org / JSON-LD
Rich Results Test
Otterly.ai
+3
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