AEO Toolkit: A Complete Open-Source Solution to Get Your Website Cited by ChatGPT, Perplexity, and Claude

AEO Toolkit is a complete open-source implementation by the HarrysonTech team, designed to help websites get cited in AI search engines like ChatGPT, Perplexity, Claude, and Google AI Overview. It provides tools such as llms.txt, Schema.org markup, and validation scripts to address the changing traffic logic in the AI era—traditional SEO gets your website on search results pages, while AEO turns your content into a source for AI answers, preventing invisibility in the AI age.

By 2026, over 40% of searches will be done via AI search engines. Users no longer browse links; instead, they directly get instant AI answers. This brings a change in traffic logic: traditional SEO aims for search result rankings, while AEO aims to become a source for AI answers. Key insight: AI search engines read content directly—being cited means brand exposure and trust endorsement, and websites without AEO will gradually become invisible.

The AEO Toolkit is designed with the concept of "copy-and-use" and includes four modules:

• templates/: Templates for llms.txt, robots.txt, Schema.org markup, etc.
• examples/: Implementation examples for static websites, blogs, and landing pages
• scripts/: Automation tools for AEO configuration validation, llms.txt generation, etc.
• docs/: In-depth documents on AI search citation logic, platform differences, etc. Developers don't need to research from scratch—they can directly apply best practices.

The Toolkit proposes the CITABLE framework to guide content citation by AI:

Element	Meaning	Implementation Points
Clear Entity	Clear Entity	Define the main subject in the first 2-3 sentences
Intent Architecture	Intent Architecture	Cover the main question + 3-5 derivative questions
Third-party Validation	Third-party Validation	External endorsements from Reddit/GitHub, etc.
Answer-grounded	Answer-grounded	Attach verifiable sources to each claim
B RAG-chunked	Chunked Structure	200-400 word paragraphs + clear hierarchy
Latest & Consistent	Latest & Consistent	Visible timestamps + cross-platform consistency
Entity Graph	Entity Graph	Schema markup + relationship statements
The framework turns "AI-friendly" into specific technical specifications.

llms.txt: Navigation File for AI Crawlers

Inspired by llmstxt.org, it proactively tells AI the core information of the website (identity, products, contact information), different from robots.txt which specifies "what can be crawled".

Schema.org Markup: Semantic Understanding Infrastructure

Provides JSON-LD templates for Organization, FAQPage, etc., to help AI accurately understand content types and entity relationships.

robots.txt: AI Crawler Access Control

The template allows access by mainstream AI crawlers like GPTBot and ClaudeBot, which is the basic threshold for AEO.

The Toolkit's technology has been verified on harrysontech.xyz: 2 engineers + AI Agent operate 8 product lines, published 13 AEO-optimized articles, and implemented complete Schema markup and real-time traffic monitoring. The solution is not theoretical; it's a result of production environment testing.

Target Audience: Content creators, SaaS teams, enterprise brands, SEO practitioners. Usage Flow:

1. Copy llms.txt and robots.txt from the templates directory to the website root
2. Fill in the content of llms.txt
3. Add Schema.org markup
4. Run verify-aeo.sh to validate the configuration Community Contribution: More language templates, citation data, and case studies are welcome. The project is open-source under the MIT license.

As the Toolkit's slogan goes: "SEO gets you to rank first on Google; AEO makes you the answer for AI." When search shifts from "finding links" to "getting answers", optimization goals need to evolve. The AEO Toolkit provides a path from theory to practice, helping websites become authoritative sources for AI answers and maintain visibility.