Guides, research, and case studies on AI search optimization, written for founders and marketers who want to understand the strategy, not just buy it.
A premium soup brand launched with no organic presence and no authority. Using entity-based content, structured data, and AI-search-ready architecture, they built 1,043 backlinks and ranked for 1,437 keywords, supporting a move to Whole Foods shelves nationwide.
An unknown startup entered a crowded protein snack market with zero search presence. A structured authority-building strategy drove 1,682% organic traffic growth, 6,600+ backlinks, and 294,000+ impressions on a single head term, culminating in Target shelf placement.
The full picture on what GEO is, how it differs from SEO, and why businesses that move early will have a structural advantage that's difficult to close. No jargon. Just the mechanics.
A breakdown of the exact technical and content signals that lead AI platforms to recommend consumer brands, using real examples from food, health, and lifestyle product categories.
A tactical guide for local service businesses: what AI platforms look for when answering "best dentist near me" or "top physiotherapist in [city]," and the exact steps to become that answer.
The LLMs.txt specification is the most discussed technical GEO signal right now. We test it across five platforms, explain what it does (and doesn't do), and show you how to implement it correctly.
Your ideal customer profile is already asking AI which software to use. This guide covers the specific GEO signals that matter for SaaS: comparison pages, G2 presence, structured feature content, and competitor query targeting.