G
GEO Toolbox

GEO Toolbox · Blog

Playbooks for getting cited by AI.

Research, tactics, and honest takes on generative engine optimization, AI visibility, and the future of search.137 articles and counting.

GEO Fundamentals articles

20 total
GEO Fundamentals19 min read

LLM SEO: What It Is, What's Different, and How to Do It (2026)

LLM SEO means getting your brand cited by ChatGPT, Claude, and Perplexity. What changes vs traditional SEO, what Google says to skip, and how to do it.

Read
GEO Fundamentals12 min read

Semantic SEO: How to Write for Meaning, Not Keyword Strings

Semantic SEO means optimizing for topics, entities, and meaning instead of exact-match keywords. Here's the retrieval mechanism behind it and how to do it.

Read
GEO Fundamentals15 min read

How to Get Cited by AI: What Actually Works in 2026

How to get cited by AI: what actually determines citations in ChatGPT, Perplexity, Gemini and AI Overviews - the evidence, the myths, and a 30-day plan.

Read
GEO Fundamentals13 min read

What Is AI Visibility? Definition, Metrics, and Drivers (2026)

AI visibility is how often AI engines like ChatGPT and Google AI Overviews mention, cite, or recommend your brand, plus how to measure and move it.

Read
GEO Fundamentals29 min read

The State of AI Search in 2026: What the Data Actually Shows

The state of AI search in 2026, reconciled from every major study: AI Overview traffic, which engines cite what, and how to measure your visibility.

Read
GEO Fundamentals15 min read

E-E-A-T for AI Search: What Actually Makes Content Citable

E-E-A-T is not a ranking factor or a score. But the trust signals behind it decide whether ChatGPT, Perplexity, and AI Overviews cite you. Here is what works.

Read
GEO Fundamentals18 min read

Answer Engine Optimization Best Practices: A 2026 Checklist

Answer engine optimization best practices for 2026, as a checklist you can audit a page against. Each practice marked tested or claimed, reachability first.

Read
GEO Fundamentals14 min read

AI Content Optimization: Writing Pages LLMs Cite (2026)

AI content optimization, the writing-craft version: structure sentences, frame data, and add the originality that gets a page cited by ChatGPT and Perplexity.

Read
GEO Fundamentals14 min read

GEO vs AEO vs SEO: What's the Difference?

GEO vs SEO, AEO vs SEO, and GEO vs AEO compared: what each one optimizes for, how much of the work overlaps, which to prioritize, and whether SEO is dead.

Read
GEO Fundamentals13 min read

What Is AEO? Answer Engine Optimization, Explained

AEO (answer engine optimization) means getting cited in AI answers from ChatGPT, Perplexity, and Google AI Overviews. What it stands for and what's hype.

Read
GEO Fundamentals11 min read

What Is LLMO (LLM Optimization)?

LLMO (large language model optimization) means getting cited by ChatGPT, Claude, and Gemini. What it is, what's genuinely new about it, and how it relates to GEO and SEO.

Read
GEO Fundamentals11 min read

AI Hallucinations: Why AI Gets Your Brand Wrong & How to Fix It

AI tools confidently state false facts about brands. Here's why AI hallucinates about your company, how to find it, and how to reduce and correct it fast.

Read
GEO Fundamentals17 min read

Entity SEO & the Knowledge Graph: How AI Engines Understand Your Brand

Entity SEO makes search and AI engines resolve your brand to one clear entity in the knowledge graph, so they recognize and cite you correctly. Here's how.

Read
GEO Fundamentals18 min read

How to Optimize for AI Search: A Step-by-Step Playbook

How to optimize for AI search, step by step: confirm AI bots can reach your pages, restructure for extraction, add citable substance, and measure citations.

Read
GEO Fundamentals17 min read

What Is Generative Engine Optimization (GEO)?

Generative engine optimization (GEO), also called AI search engine optimization, gets your brand cited in ChatGPT, Perplexity, and Google AI Overviews.

Read
GEO Fundamentals11 min read

How Does AI Search Work? A Plain-English Breakdown

ChatGPT, Perplexity, Gemini, and Google AI Overviews all run the same four-step loop: read the question, search, pick sources, write a cited answer.

Read