Definition
What is Technical AEO?
Technical AEO is the foundational layer of any AI Engine Optimisation strategy. Just as Technical SEO ensures search engine crawlers can discover and index your pages, Technical AEO ensures AI crawlers and language models can effectively process and cite your content.
The core components of Technical AEO include: AI crawler access policies (configuring robots.txt to allow GPTBot, ClaudeBot, PerplexityBot, and other AI crawlers), structured data implementation (Schema.org markup that provides machine-readable context), llms.txt and llm-profile.json files (direct AI-readable brand information), and content architecture optimised for AI extraction (clear headings, concise paragraphs, answer-first formatting).
A Technical AEO audit evaluates each of these components systematically. Common issues include: blocking AI crawlers in robots.txt (either intentionally or inadvertently), missing structured data that would help AI engines understand content context, absent llms.txt files, and content formatting that makes it difficult for AI models to extract clean, citable statements.
Unlike content-focused AEO, which requires ongoing content creation and optimisation, Technical AEO is largely a one-time setup with periodic maintenance. Getting the technical foundation right enables all subsequent content and strategy work to be more effective.
Why it matters
Without proper Technical AEO, even the best content will struggle to surface in AI-generated responses. Technical AEO ensures that the infrastructure supporting your content is optimised for AI discovery and citation. It is the foundation upon which all other AEO activities are built.
Real-world examples
- 1
Auditing robots.txt to ensure AI crawlers like GPTBot and ClaudeBot are not blocked
- 2
Implementing schema markup for FAQ, HowTo, and Product types to aid AI content extraction
- 3
Creating llms.txt and llm-profile.json files with structured brand information
- 4
Restructuring content with answer-first formatting and clear heading hierarchies
Frequently asked questions about Technical AEO
Explore related concepts
AI Crawlers
technicalAI Crawlers are automated bots operated by AI companies that scan websites to collect content for training data and real-time retrieval. Major AI crawlers include GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity), Google-Extended (Google), and Bingbot (Microsoft).
llms.txt
technicalllms.txt is a plain-text file placed at a website's root that provides structured, machine-readable information about a brand, product, or organisation specifically for consumption by large language models. It functions as a "robots.txt for AI" — telling AI crawlers what your brand is and how it should be described.
Structured Data for AI
technicalStructured Data for AI refers to the use of schema markup (JSON-LD, microdata) and AI-specific files (llms.txt, llm-profile.json) to provide machine-readable context about your content, products, and brand to both search engines and AI engines.
llm-profile.json
technicalllm-profile.json is a JSON-LD structured data file placed at .well-known/llm-profile.json that provides machine-readable brand identity, offerings, expertise, and preferred citation formats to AI crawlers and language models.
Start with the pages and proof that AI can actually use
Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.