Notes on AI search, GEO and measurement.
Research-backed writing on how AI engines cite, trust and recommend brands — and what to do about it.
AI Visibility vs SEO for D2C Brands: A Budget Decision Framework
Adobe Analytics data shows AI-referred retail traffic now converts 42% better than non-AI traffic. A measured framework for splitting budget without guessing.
GEO for Financial Services: How Banks, Insurers and Wealth Firms Get Cited by AI
EY found 49% of consumers have used AI for financial decisions. A practical playbook for earning AI citations in a regulated category.
98.8% of Multi-Location Businesses Are Invisible to ChatGPT
SOCi analysed 350,000 locations and found ChatGPT recommended just 1.2%. A research deep-dive into why demand is outpacing recommendation supply.
Why ChatGPT Recommends Another Clinic Instead of Yours: 8 Diagnosable Causes
India is ChatGPT's second-largest market with 100 million weekly users. Eight specific reasons AI engines name a competing clinic instead of yours — and how to fix them.
How B2B SaaS Buyers Actually Use AI to Build Shortlists: The 2026 Evidence
Forrester, Gartner and Semrush data on how B2B software buyers use ChatGPT, Gemini and Perplexity to build vendor shortlists — and why their results disagree.
What Is Generative Engine Optimization (GEO)? The Complete 2026 Guide
GEO is the discipline of making your brand citable, accurate and trustworthy inside AI-generated answers — across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews.
CiteRank AI: How to Measure Whether AI Engines Actually Recommend Your Brand
How CiteRank AI replays buyer-intent prompts 10–30 times per engine, scores citation share, order, sentiment and volatility with 95% confidence intervals where the measurement design supports them — and where the method is genuinely limited.