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In practice
Google’s documented position is that it rewards quality and penalises manipulation regardless of how text was produced; its spam policies target scaled content abuse — mass-produced pages made primarily to rank — not the use of tools in drafting. Detectors are a different story: they misfire in both directions, flagging human writing as machine text and passing templated junk, so no serious decision about a placement should rest on their output.
What matters commercially is narrower and checkable: is the article unique on this placement, does it say something a reader in this category would value, are the product claims true, and would the publisher have accepted it if it arrived without the link. Originality at placement level has a concrete meaning: a method the vendor’s own team uses, one worked example, a data point nobody has published — not a reshuffled “10 tips” list deployed across forty clients. That is also the difference between content that survives twelve months and content a publisher quietly deletes in a cleanup, which is itself a risk to monitor.
In practice the working arrangement that holds up is explicit: a tool drafts, a person edits for the publisher’s tone and the product’s truth, the piece is unique per placement, and the client approves before anything goes live. Detection anxiety distracts from the actual quality bar — write for the reader and the checker stops mattering.
See also: AI-drafted content policy for placements, Content standards for placements, Duplicate content across placements.
Checklist: Placement Content Analysis.
Related service: Guest posts.
