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No filler. No AI generated listicles. Just practical insights from a decade of doing this work. Written by two people who argue about algorithms at dinner.
What Is GEO? The Complete Guide to Generative Engine Optimization in 2026
If you've been hearing 'GEO' everywhere and still aren't sure what it means or why you should care, this is the guide that explains everything without the jargon. How AI decides which brands to cite, what you can actually do about it, and why most agencies are behind on this.
SEO vs AEO vs GEO: What's the Actual Difference?
Three acronyms, three different things, one goal. We break down exactly what each one does, when you need which, and how they work together. No marketing speak. Just a clear explanation.
How to Get Your Brand Cited by ChatGPT in 2026
We reverse engineered what makes ChatGPT recommend certain brands over others. Here are the specific things you can do to make it recommend yours. Based on real data, not vibes.
AI Reputation Management: Control What AI Says About Your Brand
ChatGPT just told someone your product is discontinued. Perplexity confused you with a competitor. Welcome to the new reputation challenge most brands do not even know they have.
Programmatic SEO in 2026: How to Scale Without Getting Penalized
The right way to build hundreds of pages from structured data without triggering Google's thin content filters. Templates, content enrichment, schema, internal linking. The full playbook.
The Technical SEO Checklist for 2026: Everything That Still Matters
Crawlability, Core Web Vitals, indexation, structured data, and the technical fundamentals that AI search has not made obsolete. A practical, prioritized checklist you can actually work through.
The Complete Guide to llms.txt: How to Talk to AI Crawlers
llms.txt is the new file that tells large language models how to read and represent your site. What it is, how to write one, and whether it actually moves the needle for AI visibility.
Schema Markup for AI Search: Structured Data That Gets You Cited
AI engines lean on structured data to understand entities and answers. Which schema types matter now, how to implement them cleanly, and how to validate that machines actually read them.
Entity SEO and the Knowledge Graph: How Google Really Understands You
Search and AI no longer match keywords, they understand entities. How to build entity associations, earn a Knowledge Graph presence, and become the recognized answer in your niche.
Google Algorithm Updates in 2026: What Changed and What to Do
A clear breakdown of the core, spam, and helpful content updates rolling out this year, who they hit, and the concrete adjustments that protect and recover your rankings.
GEO for Ecommerce: Getting Your Products Recommended by AI
When shoppers ask ChatGPT and Perplexity what to buy, are your products in the answer? How to optimize product data, reviews, and content so generative engines recommend your store.
What Is AEO? A Plain Guide to Answer Engine Optimization
Answer engines want a direct, trustworthy answer, not ten blue links. What AEO is, how it differs from classic SEO, and how to structure content so engines surface you as the answer.
Perplexity AI Optimization: How to Become a Cited Source
Perplexity cites its sources, which makes it a real visibility channel. How its retrieval works, what kinds of pages it favors, and how to earn a place in its citations.
ChatGPT Brand Citation Tracking: How to Measure AI Visibility
You cannot improve what you cannot see. How to track when and how ChatGPT mentions your brand, the metrics that matter, and how to turn that data into a real optimization loop.
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