AI-generated content is text (or images, audio, video) produced wholly or mostly by generative models rather than written directly by a person.
Definition
AI-generated content is text (or images, audio, video) produced wholly or mostly by generative models rather than written directly by a person. In search terms, Google's stated position is that it rewards high-quality, helpful content regardless of how it is produced, and penalises content whose primary purpose is to manipulate rankings — so mass-produced AI text created mainly to rank, with no added value, expertise or oversight, falls under its spam and "scaled content abuse" policies, while AI used as a tool within a process that adds genuine value and human judgement is not automatically a problem.
The practical risk with AI content is not detection per se but quality and accuracy: models produce fluent text that can be generic, subtly wrong, out of date, unsourced, or confidently fabricated, and at scale that produces exactly the thin, derivative, low-trust pages that quality systems and YMYL scrutiny target.
In context
For an iGaming affiliate, AI content is a particular hazard because the whole site is YMYL and much of its value depends on accuracy and first-hand experience that a model does not have. An AI can draft a plausible casino review, but it cannot actually register, deposit, test a withdrawal, or contact support, and it will happily invent licence numbers, bonus terms, payout times and regulator details that are wrong.
Publishing that at scale is exactly the "scaled content abuse" pattern, and beyond the SEO risk it is a consumer-harm and compliance problem: inaccurate gambling information can mislead people about legality, terms and risk.
A defensible use of AI in this niche is as an assistant inside a human-led process: drafting structure, rephrasing for clarity, summarising research a person gathered, or generating first passes that a qualified editor then verifies, corrects, adds first-hand detail to, and takes responsibility for under a real byline. Every factual claim — licences, terms, figures, regulator references — must be checked against primary sources by a person.
The glossary is a reasonable place for AI-assisted drafting followed by expert editing, provided the definitions are verified, kept in the site's neutral reference tone, attributed to a named editor, and dated. The line is process and accountability: AI can help produce content, but a knowledgeable person must verify it, add the experience and judgement a model lacks, and stand behind it.
Worked example
An affiliate uses an AI tool to draft glossary definitions and review sections, but every draft goes to a named editor who verifies each licence, term and figure against primary sources, adds first-hand detail from real testing, puts it in the site's reference tone, and publishes it under their byline with a date. Purely AI-written, unverified pages are not published.
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