| What is being measured |
Whether an AI system can read, verify and cite the business in a generated answer |
Where a page lands in a ranked list of search results |
Whether people recognise the business name at all |
| The unit of success |
A citation or direct mention inside an answer |
A ranking position on a results page |
Recall and recognition, unaided or prompted |
| How it is built |
Crawlable pages, structured data, entity consistency, answer-ready content, verifiable off-site mentions |
Keyword targeting, backlinks, technical health, content relevance |
Advertising, PR, word of mouth, social reach, repeated exposure |
| Where the reader ends up |
Reading a synthesised answer that already names or excludes the business |
Choosing from a list of links and clicking one |
Already has an impression before searching at all |
| What breaks it |
Vague, unverifiable or inconsistent content the model cannot confirm |
Thin content, broken crawl paths, weak authority signals |
Low exposure, inconsistent messaging, no distinctive positioning |
| Can it be bought outright |
No. Structure and evidence can be improved; citation is the model's decision |
No, though paid search buys a different kind of placement alongside it |
Partly, through sustained paid exposure, though trust still has to be earned |
| How it relates to the other two |
Depends on solid SEO foundations and benefits from strong brand recognition, but neither guarantees it |
A precondition for AI visibility, not a substitute for it |
Makes a business easier to corroborate once AI visibility work exists to act on |