Scaled content abuse manual action: do we need to delete every AI-assisted page?

Google's generative AI content guidance permits useful AI assistance while warning about producing many pages without user value. Its scaled content abuse policy concerns large-scale content primarily created to manipulate search rankings, regardless of production method. Keep that distinction in the remediation brief.

We first confirm the actual notice through the Search Console walkthrough . Google's Manual Actions documentation lists scaled content abuse among the techniques covered by the Major spam problems action; do not assume the report must use this guide's title as its label. A drop after increasing publication volume is not proof of a manual action. Record the actual wording and affected scope before classifying the pages that need work.

We do not set a safe daily quota. A count cannot explain whether pages serve different needs or repeat the same unsupported answer. Instead, stop the specific expansion under investigation while you determine what its outputs contribute. That is a containment recommendation, not a numerical Google threshold. Our restart decision rests on a changed approval standard. If an editor still cannot reject a page for weak evidence or overlapping purpose, reducing output merely slows the same failure.

Ask the publishing owner to show the inputs, templates, review steps, and distribution paths. Include pages created from spreadsheets, translations, search-query lists, or combinations of existing material. Then group outputs by the process that created them. A team cannot defend the quality of its inventory if it can only describe the generator and has no record of what was actually published.

The inventory uses a row per page family with linked URL records. For each family, name the audience, the decision it supports, its distinct evidence, and its maintenance owner. Sample pages to discover patterns, then expand the review where the same issue appears. Keep the sampling method visible; a few attractive examples do not establish that the whole collection is useful.

Consider an illustrative set of location pages. Changing a city name does not explain a local difference. A useful local page would need information that matters for that location and that the team can keep accurate. If those inputs do not exist, editing the introduction cannot supply them. The decision may be consolidation or retirement rather than another generation run. We make that decision before budgeting rewrites: a page without the necessary inputs does not become a better investment because the team already paid to generate it.

We keep a page only when its current substance is defensible, improve it when there is a real contribution to add, consolidate overlapping answers, and retire pages without a sustainable purpose. These are editorial decisions that need technical implementation, including navigation and any appropriate redirects. The thin content guide develops that URL-level classification further.

A rewrite is useful when it corrects an answer, adds necessary explanation, or introduces evidence. Cosmetic variation is not the same change. For each retained page, write one sentence stating what a reader can now understand or do that the old page did not support. If that sentence is only about keywords, length, or a more human tone, reconsider the decision.

Google's people-first content guidance asks publishers to consider who created content, how it was produced, and why. We use authorship to establish real responsibility. A named author needs an actual connection to the work; a biography cannot validate unsupported statements in the article.

Keep first-hand observations distinct from sourced explanation and illustrative examples. If the team has not used a product, run an experiment, or handled a described case, do not imply that it has. Where automation materially shaped the content and readers would reasonably want to know, explain its role accurately. Build credibility from verifiable sources and useful analysis, with clear limits around what the team can substantiate.

Google's guide to generative AI search optimization warns against creating pages for every query variation primarily to manipulate rankings or AI responses. We use that boundary when planning a new guide library: different wording is not enough to justify a new URL.

Our editorial test is whether a page has a separate decision, a distinct body of evidence, and a useful asset. For example, a moderation audit and an outbound-link register lead to different work even though both concern manual actions. Two articles that merely ask the same recovery-timing question differently should normally share an answer. Clear headings and direct responses help readers; they do not replace the underlying contribution or guarantee citation.

A reconsideration request should describe the inventory reviewed, the decisions completed, representative improvements or removals, and the publishing controls now in place. We connect every claimed control to an observable step: a required evidence field, an editor with rejection authority, or a check for overlap before a new URL can be approved.

Keep the evidence gate practical enough that the team will continue using it. Assign update ownership and a way to retire content that loses its purpose. If content, engineering, and leadership need a shared remediation plan, our manual action recovery support can help coordinate it. The objective is a library you can defend and maintain; a reconsideration outcome or future AI citation cannot be promised.