Insights: GEO Research and Analysis
Market reports, pricing benchmarks, citation analyses, and strategic guides for Generative Engine Optimization.
Key Takeaway
Market reports, pricing benchmarks, citation analyses, and strategic guides for Generative Engine Optimization.
The State of Generative Engine Optimization: 2026 Market Report
A comprehensive market report on GEO in 2026 — covering the $1B+ market growing at 34-50% CAGR, key players, pricing benchmarks, and the shift from traditional ...
Read MoreGEO Agency Pricing Benchmark 2026
Detailed pricing benchmarks for GEO services in 2026 — covering monthly retainers ($1,500-$50,000+), project-based audits, ecosystem builds, and regional rate c...
Read MorePrinceton GEO Research: Implications for Business
Analysis of the Princeton GEO study (KDD 2024) and its practical implications — statistics addition (+41%), quotation inclusion (+28%), citation addition (+30-4...
Read MoreAI Search Traffic Report: The Numbers That Matter
A data-driven analysis of AI search traffic in 2026 — 527% YoY growth, 4.4x higher conversion, ChatGPT at 883M monthly users, and what it means for business.
Read MoreThe Content Moat Framework: Building Defensible AI Citation
A strategic framework for building multi-property content moats — how interconnected ecosystems create citation advantages that single-site competitors cannot m...
Read MoreSchema Markup and AI Citation: Impact Analysis
Analysis of how schema markup impacts AI citation rates — attribute-rich schema delivers 61.7% advantage, while generic schema performs worse than no schema at ...
Read MoreDual-Layer Content Architecture: A Technical Guide
Technical guide to implementing dual-layer content architecture — the human conversion layer and AI knowledge layer that together create maximum citation and co...
Read MoreHow ChatGPT Selects Sources: A Citation Analysis
Detailed analysis of ChatGPT citation behaviour — 87% Bing correlation, 44.2% from first 30% of content, Wikipedia at 47.9% of top citations, and FCP impact on ...
Read MoreHow Perplexity Selects Sources: A Citation Analysis
Detailed analysis of Perplexity citation behaviour — real-time crawling, 50% from current-year content, callout blocks at 2.3x citation probability, Reddit in 4...
Read MoreGoogle AI Overview Ranking Factors: A Complete Analysis
Complete analysis of the seven factors determining Google AI Overview rankings — semantic completeness (r=0.87), multimodal content (+156%), E-E-A-T (96%), enti...
Read MoreEntity Authority Building: A Strategic Guide for GEO
Strategic guide to building entity authority for AI citation — covering knowledge graph optimization, Wikidata, cross-platform consistency, and multi-source val...
Read MoreGEO Measurement Framework: How to Track AI Visibility
A comprehensive measurement framework for GEO performance — covering Share of Model tracking, AI referral analytics, citation accuracy monitoring, and competiti...
Read MoreFrom SEO to GEO: A Transition Guide for Marketing Teams
A practical guide for marketing teams transitioning from SEO to GEO — covering organizational change, skill gaps, tool requirements, and measurement evolution.
Read MoreAI Crawler Technical Guide: How Every Major AI Crawls the Web
Technical guide to how AI crawlers from OpenAI, Perplexity, Anthropic, Google, and Apple crawl websites — covering crawler names, behaviours, JavaScript handlin...
Read MoreThe Zero-Click Future: How AI Search Is Changing Business
A strategic report on the zero-click search phenomenon — 60%+ of searches end without clicks, Google traffic down 33%, and how GEO provides the counter-strategy...
Read MoreFrequently Asked Questions
Market reports, pricing benchmarks, citation analyses, and strategic guides for Generative Engine Optimization.
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.