AEO & GEO Engine 2026ChatGPT Search · Perplexity · AI Overviewsllms.txt & Schema Ready🔒 100% Client-Side

AEO & LLM Search Engine Optimization Auditor

Analyze how well your website or article is optimized for ChatGPT Search, Perplexity AI and Google AI Overviews. Get an AEO score out of 100 and an action plan for information density, direct-answer format and llms.txt readiness.

AEO & AI Search Readiness Test

A Complete Guide to AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization)

Traditional SEO focused on getting websites to rank high among Google's 10 blue links. Today, users search through ChatGPT Search, Perplexity AI and Google AI Overviews. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are the next-generation search strategy that gets your content selected directly as a source by AI models, summarized, and linked as a citation in the answer given to the user.

1. Traditional SEO vs AEO / GEO

The rules of search engines have changed fundamentally. The criteria AI models use to evaluate content:

Criterion	Traditional SEO	AEO & GEO (AI Search)
Target Platforms	Google Web Search, Bing, Yandex	ChatGPT Search, Perplexity AI, Google AI Overviews, Claude
User Behavior	Types keywords and clicks through sites one by one	Asks questions in natural language and expects a direct summary and a synthesized answer
Text Structure	Long introductions, keyword repetition, indirect wording	A clear answer in the first 50 words, bulleted summaries, high information density
Technical Standards	Meta title, meta description, H1-H3 headings	JSON-LD (FAQPage/TechArticle), llms.txt, semantic HTML5
Success Metric	SERP ranking (positions 1-10) and organic clicks	Citation rate, clicks on the source link

2. 5 Golden Content Rules for Getting Cited by AI

Writing tactics that get LLMs to pick your page as a primary source in their Retrieval-Augmented Generation (RAG) processes:

1. Inverted Pyramid and the First 50 Words Rule

Give the definition directly, without beating around the bush, in the first 1-2 sentences right under each heading. For example, under the question "What is X?", instead of writing "X, which is very popular today...", write a precise definition such as "X is an open-source library that performs Y in Z time."

2. Numerical Data and Precise Statistics (Citability)

AI models prefer to cite concrete percentages, latencies in milliseconds and benchmark data over vague statements. Tables and bulleted lists are ideal for RAG chunking algorithms.

3. FAQPage Schema.org Markup

Mark up the questions and answers on your page in application/ld+json format. Perplexity and ChatGPT Search take JSON-LD data and synthesize it directly, without parsing the HTML.

3. A Modern Web Standard: /llms.txt and /llms-full.txt

Just as search engines have sitemap.xml, keeping an llms.txt file in the root of your website for AI agents takes your AEO readiness to the top:

# llms.txt Example
# Your Website's Name and Mission

> A short, concise description of your site (1-2 sentences)

## Core Documentation and Content
- [Next.js 15 Performance Guide](https://ismailhakkieren.com/blog/nextjs-15-performans): Core Web Vitals optimization recipes.
- [JSON-LD Schema Guide](https://ismailhakkieren.com/plugins/json-ld-schema-generator): A tool for building AEO and Rich Snippets.

## Optional
- [Full Text Dump](https://ismailhakkieren.com/llms-full.txt): All posts combined in Markdown format.

Frequently Asked Questions (FAQ)

The AEO (Answer Engine Optimization) score shows how likely your page is to be selected and cited as a direct source by AI models such as ChatGPT Search, Perplexity and Google AI Overviews.

You can raise your AEO score by adding question-and-answer JSON-LD schemas (FAQPage) to your page, defining the topic clearly in the first 50 words, and using llms.txt and a semantic heading hierarchy.

Traditional SEO aims to get websites into the top 10 of Google's blue links, while AEO aims to get cited as a reference source in the synthesized answer that AI gives the user directly.

Just as search engines have sitemap.xml, it is an open web standard that gives AI models and autonomous agents a map of the site's core content and a Markdown dump of it.

This auditor analyzes your page's JSON-LD schemas, the clarity of the answer in the first 50 words, the question-focused H2/H3 heading hierarchy, the density of tables and lists, and the presence of llms.txt to produce a comprehensive AEO score out of 100.

For sites with general, superficial information it carries a "zero-click" risk. But sites that follow AEO criteria, offer in-depth expertise (E-E-A-T) and get cited directly in AI reference cards gain highly qualified audience traffic.

robots.txt restricts which bots may crawl the page. ai.txt and llms.txt define how the crawled data should be interpreted by AI models and how contextual content can be fed to the model most efficiently.