GEO (Generative Engine Optimization) is the practice of structuring content so AI engines like ChatGPT, Gemini, Claude, and Perplexity retrieve, quote, and cite it. It builds on classic SEO and adds AI-specific signals like llms.txt, FAQ schema, and AI-crawler permissions.

AEO (Answer Engine Optimization) is the practice of structuring content so single-answer surfaces — voice assistants, Google AI Overviews, the spoken responses of chat assistants — pick your page as the one authoritative answer.

No. Classic SEO still drives the majority of organic traffic for most sites. What's dead is keyword-stuffed, AI-generated content with no original insight. The fundamentals still work and now compound with GEO and AEO signals.

How often does this blog publish?

Roughly weekly. Each post is long-form (8–12 minutes), no fluff, and updated when the underlying AI engines change behavior.

The OptimAIze Blog

GEO, AEO & SEO, demystified

Comprehensive, no-fluff guides on getting your site discovered, quoted and cited by ChatGPT, Gemini, Claude, Perplexity and Google's AI Overviews.

Fresh from the editor

AEO 10 min read

Perplexity Citations: An Engineering Teardown

A deep dive into how Perplexity's citation engine works, its impact on SEO and AEO, and how to optimize your content for it. Learn the technical details.

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GEO 11 min read

What Is Generative Engine Optimization (GEO)? The 2026 Field Guide

GEO is the practice of making your content easy for ChatGPT, Gemini, Claude and Perplexity to retrieve, quote and cite. Here is how it works and how to start.

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AEO 10 min read

Answer Engine Optimization (AEO): The Complete Guide for 2026

AEO is how you win the single answer ChatGPT, Alexa, Siri and Google's AI Overviews read aloud. Learn the schema, structure and content patterns that work.

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SEO 12 min read

SEO in the Age of AI Search: What Still Works, What Is Dead

Classic SEO is not dead, but the rules have shifted. Here is what still drives rankings in 2026 and what to stop wasting time on.

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GEO 8 min read

llms.txt: The Missing File Your Site Needs for AI Search

llms.txt is the robots.txt of the LLM era — a plain-text map that tells AI engines what your site is about and which pages matter most.

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Strategy 9 min read

How to Get Cited by ChatGPT, Perplexity and Gemini

Citations from AI assistants are the new backlinks. Here is the practical playbook to earn them — content patterns, schema, and trust signals that work.

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Reading tracks

Four tracks, one archive

Different humans inside the same company care about different things. Pick the track that matches the seat you're sitting in today.

GEO

Generative Engine Optimization

llms.txt, AI-crawler permissions, schema combos that win citations in ChatGPT and Perplexity, answer-first content patterns.

AEO

Answer Engine Optimization

Single-answer surfaces — AI Overviews, Siri, Alexa, voice mode. FAQ and Speakable schema, answer-first paragraphs.

SEO

Classic SEO in 2026

What still moves: core web vitals, internal linking, original research. What's dying: keyword density, link exchanges, AI filler.

Strategy

Budgets & measurement

Allocating between SEO and GEO, measuring citations without a dashboard, briefing a CMO, planning twelve months out.

Where to start

How to read this blog

What is GEO?

Start here if the term is new.

AEO complete guide

If you're focused on voice and AI Overviews.

SEO in the age of AI

If you already do classic SEO and want to know what to keep.

Why

Why this blog exists

Most writing on AI search is either hot-takes that don't survive contact with a real site, or vendor white papers that bury a useful idea inside a twenty-page sales pitch. We started this blog because audits kept surfacing the same fixable mistakes — and nobody was writing them down in a form a busy in-house team could act on in an afternoon. Every post follows the same structure: the symptom, why it happens, the smallest change that fixes it, and the measurement that tells you it worked.

Editorial principles

Rules we hold to

No AI-generated filler

We use AI for outlines and fact-checks. We don't publish posts a model wrote and a human skimmed.

No affiliate links in the argument

If we recommend a tool, it's because we've used it in production. Disclosures live at the bottom.

Updates over reposts

When ChatGPT changes a signal, we update the original post with a changelog — not republish to game freshness.

One claim, one source

Every assertion about engine behavior links to a source. If we can't, we label it 'in our experience.'

8–12 minutes per post

We don't pad. We also don't compress so far you lose the "why." Reading time is honest — measured from word count.

RSS & updates

No newsletter yet. Standard RSS at /blog. When a newsletter launches it'll be a weekly digest, not a separate content stream.