Definition
What this term means
The practice of ensuring that AI-generated content properly credits the original sources it draws from. AI attribution covers how AI systems reference your brand, link to your content, and acknowledge your expertise when using your information in their responses. It also refers to the signals you embed in your content to make attribution more likely.
Why it matters
The business impact
Without proper attribution, AI systems freely use your content to inform their answers without directing any traffic or recognition back to your brand. Strong attribution signals, such as clear authorship, structured data, and canonical references, increase the likelihood that AI platforms will credit and link to your content, turning AI usage into a traffic and authority driver.
Used in context
How you might use this term
“A research organisation noticed AI platforms were using their data without attribution. By adding structured authorship markup, clear citation-friendly formatting, and canonical links, they increased their AI attribution rate from near zero to being cited in over 60% of relevant AI responses.”