AI writing tools can produce a draft in seconds, which tempts many teams to publish at volume. The result is often a site full of pages that read like every other site, contain errors and add nothing a buyer cannot find elsewhere. At the other extreme, some teams avoid AI entirely out of fear of search penalties. Neither approach is necessary. Google has published clear guidance on AI-generated content, and a workflow that uses AI for speed while keeping human expertise, fact-checking and accountability produces better content faster. This article summarises the guidance, sets out such a workflow and lists the checks to run before publishing.
What Google says
In February 2023 Google Search Central published guidance on AI-generated content. Its core message is that Google rewards high-quality content however it is produced, and that using automation, including AI, to generate content with the primary purpose of manipulating search rankings violates its spam policies. Google's spam policies describe scaled content abuse as generating many pages primarily to manipulate rankings rather than help users, regardless of whether they are produced by AI, humans or both. In short: the method of production is not the issue; the purpose and the quality are.
Where AI helps
AI tools are useful for tasks that speed up a skilled writer: summarising research sources, generating question lists from customer data, suggesting outlines, drafting sections that the writer will rework, rewriting for clarity or length, creating variants of titles and descriptions, checking for gaps against a brief, and turning a long piece into shorter formats. They are also useful for analysing data you provide, such as survey responses or call transcripts, to find themes, as long as the output is checked. Used this way, AI shortens the time from brief to draft without replacing the expertise that makes content worth reading.
Where AI is weak
AI models can state incorrect facts confidently, invent sources, cite outdated information, and produce generic text that reflects the average of what has been written before. They do not have your experience with clients, your data or your opinions. They cannot verify that a regulation is current or that a price is accurate. Content that relies on AI for these things tends to be wrong or bland. The fix is not to avoid AI, but to supply what it lacks: expert input, original material and verification.
A workflow with human checkpoints
Each step has a clear owner. The human checkpoints are what make the content trustworthy.
| Step | Who | AI role | Human checkpoint |
|---|---|---|---|
| 1. Brief | Editor or subject expert | Suggest questions from customer data and search queries | Expert confirms the angle and what is new |
| 2. Research | Writer | Summarise sources provided | Writer reads primary sources and records citations |
| 3. Expert input | Subject expert | Transcribe and structure an interview or notes | Expert supplies examples, opinions and data |
| 4. Draft | Writer | Draft sections from the outline and expert input | Writer rewrites in house voice |
| 5. Fact-check | Editor | Flag claims that need sources | Every figure, regulation and price verified |
| 6. Edit | Editor | Suggest clarity and length edits | Editor approves; checks style rules |
| 7. Approve and publish | Named author | None | Author signs off as accountable |
Adding what only you can add
The most important step is the expert input. Interview the person with real experience, record their examples, the mistakes they see, the trade-offs they weigh and the numbers from their own work, and build the piece around that. Add original material where possible: your own data, screenshots of a process, a worked example, a template or a decision table. This is what makes the content different from the many AI-written pages on the same topic, and it is what readers, search engines and AI answer tools find worth citing.
Quality checks before publishing
Before publishing, check that the piece answers the reader's question directly near the top; that every statistic has a credible, linked source; that regulations, prices and product details are current; that nothing is copied from another source without attribution; that examples are real or clearly labelled as illustrative; that the piece contains at least one thing a competitor's page does not; that the author is named and appropriate; and that the page is useful to a reader who never visits another page. If any check fails, the piece goes back a step.
Disclosure and accountability
Decide on a policy for disclosing AI use and apply it consistently. Google's guidance suggests that explaining how content was created can be helpful to readers where they would reasonably wonder. Whatever your policy, keep a named human author accountable for every published piece. That person's reputation, not the tool's, stands behind the facts and opinions on the page, which is also what readers expect.
Measuring whether the workflow works
Judge AI-assisted content by the same measures as any content, not by volume. Track the time from brief to publication, so you can see whether AI is actually saving effort. Track quality signals: the number of factual corrections needed after editing, reader engagement, and feedback from sales on whether the content helps in conversations. Track outcomes: rankings and clicks from Search Console, mentions and citations in AI answers, and leads or pipeline from the content where your tracking allows. If AI-assisted pieces need many corrections or perform worse than fully human pieces on the same kinds of topics, adjust the workflow, usually by strengthening the expert input step.
Setting rules for the team
Write down how the team may use AI tools, so that quality does not depend on individual habits. The rules usually cover which tools are approved, what data may be entered into them (not confidential client information or personal data unless the tool's terms and your policies allow it), that AI-suggested facts and sources must always be verified, that drafts must be substantially reworked by the writer, and who approves publication. Include the style rules every piece must follow, such as spelling conventions, banned phrases and how sources are cited. Review the rules every few months as tools and guidance change.
Sources
Google Search Central Blog, Google Search's guidance about AI-generated content (February 2023): https://developers.google.com/search/blog/2023/02/google-search-and-ai-content
Google Search Central, Spam policies for Google web search (scaled content abuse): https://developers.google.com/search/docs/essentials/spam-policies
Updating and maintaining AI-assisted content
Publishing is not the end of the workflow. AI-assisted content, like any content, goes out of date as prices, regulations, products and platforms change. Assign each important page an owner and a review date, typically every six to twelve months, or sooner for pages that cite fast-changing facts. During review, check every figure and source, update examples, add new questions buyers are asking, and record the update date on the page only when the content has genuinely changed. AI tools can help here too, by comparing the page against new sources or flagging statements that may be outdated, but the final check remains with a person. A smaller set of well-maintained pages usually performs better than a large library of pages nobody has checked since publication.
FAQ
Google says it rewards high-quality content however it is produced. Its spam policies target content generated at scale primarily to manipulate rankings, whether by AI, humans or both.
Google's term for generating many pages primarily to manipulate search rankings rather than help users, regardless of how the pages are produced.
Summarising research, suggesting outlines and questions, drafting sections for rework, editing for clarity and repurposing long pieces into shorter formats.
Choose a consistent policy. Google suggests explaining how content was created can help where readers would reasonably wonder. Always keep a named human author accountable.
Build it around expert input and original material: real examples, your own data, templates and clear opinions that generic pages do not contain.
Every six to twelve months for most pages, and sooner where the page cites fast-changing facts such as prices, regulations or platform features.
It can produce text, but Google's guidance focuses on quality and purpose, and unchecked AI text often contains errors and adds little. Expert input and human review remain essential.
Yes. A named, accountable author with relevant expertise helps readers trust the content and makes responsibility clear.
It can be a useful first draft, but have a fluent speaker review it for accuracy and tone, especially for regulated topics or customer-facing pages.
No. It is judged on the same quality signals as any content: usefulness, accuracy, originality and expertise.