Knowledge Base: Generative Engine Optimization

Comprehensive reference guides covering every aspect of GEO — from methodology and pricing to content engineering, schema strategy, and ecosystem architecture.

Key Takeaway

Comprehensive reference guides covering every aspect of GEO — from methodology and pricing to content engineering, schema strategy, and ecosystem architecture.

Generative Engine Optimization: A Complete Overview

A comprehensive overview of GEO — covering what it is, why it matters, how it works, key techniques, measurement, and the ecosystem approach that separates lead...

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GEO Agency Pricing: A Comprehensive Guide

Detailed pricing guide for GEO services — covering audits ($499-$4,500), monthly retainers ($1,500-$50,000+), ecosystem builds ($15,000+/month), and how to eval...

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The TDS GEO Methodology: How We Build AI Citation Ecosystems

A detailed explanation of the TDS GEO methodology — dual-layer architecture, content engineering, schema strategy, ecosystem design, and measurement frameworks.

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Content Engineering for AI Citation: The Complete Guide

Complete guide to engineering content for AI citation — BLUF patterns, question headings, information islands, statistical density, data tables, and FAQ schema.

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Schema Strategy for GEO: The Complete Guide

Complete guide to schema strategy for AI citation — 12+ schema types, attribute-rich implementation, cross-entity linking, and common mistakes that hurt perform...

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Multi-Property Ecosystem Strategy: The Complete Guide

Complete guide to building multi-property content ecosystems — property types, interlinking rules, content wave cadences, entity schema binding, and measurement...

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AI Crawlers: The Complete Technical Guide

Complete technical guide to AI crawlers — GPTBot, PerplexityBot, ClaudeBot, Google-Extended, GrokBot, Applebot — covering behaviour, JavaScript handling, and op...

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GEO Measurement: The Complete Guide

Complete guide to measuring GEO performance — Share of Model tracking, AI referral analytics, citation monitoring, competitor analysis, and entity consistency s...

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llms.txt: The Complete Implementation Guide

Complete guide to llms.txt implementation — standard format, content curation, llms-full.txt extended version, current AI platform support, and future MCP evolu...

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Entity Authority: The Complete Guide

Complete guide to building entity authority for AI citation — knowledge graph optimization, Wikidata, cross-platform consistency, and 15+ connected entities for...

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GEO for Western Businesses: AU, UK, and US Market Guide

A guide to GEO specifically for Australian, UK, and US businesses — covering market dynamics, platform preferences, and engagement approaches.

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Platform-Specific GEO: Optimizing for Each AI Engine

Guide to optimizing for each major AI platform — ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Grok — with platform-specific techniques and prio...

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GEO vs Traditional Digital Marketing: A Strategic Comparison

Strategic comparison of GEO with traditional digital marketing approaches — covering SEO, SEM, content marketing, social media, and how GEO complements each cha...

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The Directly Employed Team Model: Why It Matters for GEO

Why TDS's directly employed team model matters for GEO — quality consistency, IP protection, methodology depth, and the advantages over freelancer-based agencie...

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GEO Implementation Timeline: What to Expect

A realistic timeline for GEO implementation — from initial audit through ecosystem build, content engineering, and the 6-18 month journey to compounding AI cita...

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Frequently Asked Questions

Comprehensive reference guides covering every aspect of GEO — from methodology and pricing to content engineering, schema strategy, and ecosystem architecture.

TDS takes an ecosystem-first approach — building multi-property citation networks rather than optimising single websites. Every resource in this section is designed to help businesses understand and implement effective GEO strategies.

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