AI can help prepare an outline, organize notes and edit a draft. Human-in-the-loop SEO means a person remains responsible for the facts, examples and usefulness of the published page. It does not promise a ranking multiplier or a predictable traffic curve.
Correction, 11 October 2026: An earlier version included uncited ranking percentages, an “8x” human advantage and engagement comparisons. Those figures have been removed because this article did not provide a verifiable dataset, methodology or source.
What Google’s guidance actually says
Google’s guidance allows useful applications of generative AI, while warning that generating many pages without adding value may violate its scaled content abuse policy. It recommends checking automatically generated text and metadata for accuracy, quality and relevance before publishing.
Google describes E-E-A-T as experience, expertise, authoritativeness and trustworthiness. E-E-A-T itself is not a specific ranking factor, and quality-rater assessments do not directly determine a page’s ranking. Use these ideas to assess content quality rather than treating them as a score or a guaranteed ranking formula.
A practical review workflow
1. Choose a reader’s task. Define what the visitor should be able to do after reading. For a Koha tutorial, that might be configuring one circulation rule, rather than covering every setting in a generic overview.
2. Gather evidence before drafting. Keep the official documentation, software version, test notes and screenshots together. Mark any statement that still needs checking. An AI-generated citation is a lead to investigate, not evidence by itself.
3. Draft around a working example. AI can help arrange the steps, but the editor should supply the actual environment and observed result. If a procedure has not been tested, say so and avoid presenting it as a completed test.
4. Review each factual claim. Open cited sources, check that they support the sentence and confirm that commands match the stated version. Remove unsupported percentages and replace broad guarantees with the conditions under which a method works.
5. Check the published page. Test internal links and the reader’s main action on mobile and desktop. Confirm that the title, description and headings describe the content. Check whether advertisements interrupt the instructions or resemble navigation controls.
6. Assign ownership. Identify the author or reviewer, provide relevant background and make it easy to report a correction. Explain substantial automation where that context helps readers understand how the work was produced.
Measure results without inventing causes
Compare Search Console clicks and impressions for the same pages and queries over comparable periods. Record the publication and revision dates alongside technical incidents and other site changes. A traffic decline alone does not establish that AI authorship caused it.
Use analytics engagement and conversion measures to investigate reader behaviour. This article does not establish bounce rate or dwell time as direct Google ranking factors. A short visit may mean the reader quickly found the answer; it may also mean the page failed to help. Inspect the task and page before drawing a conclusion.
A useful pre-publication checklist
Can the reader complete the task? Do links and examples work? Are sources current and directly relevant? Are limitations clear? Can a named editor explain and stand behind the claims? If any answer is uncertain, resolve that uncertainty before expanding the content volume.
Primary sources
Google Search guidance on generative AI content and Creating helpful, reliable, people-first content. Guidance checked on 11 October 2026.
