AIVisibility.global

Resources

What we are reading, writing and still working out.

AI visibility is a young field, and much of it is genuinely unsettled. This page collects what we are publishing, the primary sources we rely on, and the questions we do not yet have firm answers to.

Articles

Written to answer a specific question, including where the honest answer is that nobody knows for certain yet.

  • AI Gives Different Answers in Different Languages

    Coming soon

    The same business query asked in different languages can produce completely different AI recommendations. Why Language Visibility matters.

  • Your Website May Look Perfect to Humans but Empty to AI

    Coming soon

    Many websites are easy for people to understand but provide very little structured information for AI systems.

  • Looking for Three Businesses to Test AI Visibility

    Coming soon

    An invitation to work with three companies while improving AIVisibility.global.

Books

Longer reading for the thinking behind the work rather than the tactics.

  • Placeholder — book one

    Author name

    A short note on why this book is worth reading for anyone thinking about how machines read a business.

  • Placeholder — book two

    Author name

    A short note on what this book covers and which part of AI visibility it speaks to.

  • Placeholder — book three

    Author name

    A short note on the argument this book makes and why it belongs on this list.

Official resources

Primary sources. Where these disagree with commentary about AI visibility — including ours — trust these.

  • Google Search Central

    Google's own documentation on how pages are crawled, indexed and represented in search.

  • Schema.org

    The shared vocabulary for structured data that search engines and AI systems read.

  • W3C

    The standards body behind HTML, accessibility and the wider architecture of the web.

  • OpenAI

    Documentation and published policy for the models behind ChatGPT.

  • Anthropic

    Documentation and published research for Claude, including how it uses the web.

  • Microsoft Learn

    Microsoft's technical documentation, covering Bing, Copilot and Azure AI.

  • Common Crawl

    The open web crawl archive that many language models are trained on.

Research topics

The open questions we keep returning to. None of these are settled.

  • Digital Trust

    What makes a business look credible to a machine that has never met it.

  • Language Visibility

    How the language of a question changes which businesses an AI names.

  • AI Citations

    When an AI answer credits a source, and what decides which source it picks.

  • Structured Data

    The machine-readable facts a site publishes about itself, and how they are used.

  • Machine-readable Websites

    Building sites that stay legible to software, not only to people.

See where your business stands.

A free check shows how AI systems currently describe your business, and which of these topics actually apply to you.

Resources — AIVisibility.global