Since October 1, Google has written that it is critical to manually review any AI-produced content before publishing it, and the review also covers title elements, meta descriptions, structured data and alt text. According to Search Engine Journal, this addition introduces no new penalty: it builds on the scaled content abuse policy that was already in force. For a small business, the method comes down to five passes: facts, figures, tags, structured data, images.
Contents
On October 1, 2026, Google changed its guidance page on AI-generated content. It now says that it is critical to manually check and review any AI content before publishing, and it extends this review to title tags, meta descriptions, structured data and image alt text.1 The documentation changelog dates the addition to the same day and presents it as an alignment with what Google presents at its developer events.2 This article starts from that sentence and draws from it a review method a small business can apply page by page.
01What Google wrote on October 1
The page is titled “Google Search's Guidance on Generative AI Content on Your Website”. It is short, and the change concerns a single passage, which the changelog describes as an update with information drawn from the search quality rater guidelines.2
Google's reasoning
Google points out that generative models do not retrieve facts: they predict a likely sequence of words from their training data. Their outputs can therefore contain inaccuracies, which the page calls hallucinations.1
The conclusion follows: it is critical to manually check and review any AI-generated content for accuracy and reliability before publishing it.1
The scope: beyond visible text
The review is not limited to the body of the page. Google explicitly names title tags, meta descriptions, structured data and image alt text, elements that can appear in search results.1
For structured data, the page also asks site owners to follow the general guidelines and the rules specific to each search feature, and to validate the markup to remain eligible.1
What does not change
Search Engine Journal concludes that this revision introduces no new penalty: it builds on the existing policy against scaled content abuse, and links the text to earlier remarks by Gary Illyes, who already recommended checking an AI's outputs.3 What is new is the clarified scope, which includes tags and structured data.
02Why a small business is concerned
A small business that publishes product pages, service pages or city pages with the help of AI comes into direct contact with the policy this page mentions. It has a name: scaled content abuse.
Google's definition
According to Google's spam policy, scaled content abuse occurs when many pages are generated primarily to manipulate rankings rather than to help users. Among the examples cited is using generative AI tools to produce many pages without value for the user.4
The criterion that counts
The production tool appears as one example in the list, but the criterion is the value each page brings to the user.4 Thirty city pages built from the same template, with one paragraph changed per city and no information specific to each, match the case described.
03The five-pass review method
Each pass answers a precise question and is settled with a document close at hand: the invoice, the product sheet, the official website, the final page. The table gives the order, and the following sections detail each pass.
| Pass | What you review | The check |
|---|---|---|
| 1. Facts | names, dates, references, services | a source, or deletion |
| 2. Figures | prices, lead times, quantities, statistics | the original value |
| 3. Title and meta description | what the page promises in the results | the actual content of the page |
| 4. Structured data | price, reviews, questions, availability | what the visitor sees, then the validation test |
| 5. Images and alt | description of each visual | what the image shows |
Pass 1: facts
Every verifiable claim goes past someone who knows the subject: a product name, a standard, a lead time, a certification, an address, a partner's name. A fluent, plausible sentence is not an accurate sentence, since the model produces a likely sequence of words and does not consult a source.1
The working rule is simple: a claim with no source and no internal check is deleted. On a service page, the answer usually comes from the company itself, which is why the review falls to someone in the company and not only to the person who ran the generation.
Pass 2: figures
Each figure is compared with its original: the price with the catalog, the lead time with the standard contract, the statistic with the study cited. Also check units, years and ranges: an error of this kind goes unnoticed on reading.
A figure whose source cannot be found is removed, even if it seems reasonable.
Pass 3: title and meta description
These two tags are what searchers read before clicking, and Google lists them among the elements to review.1 The check consists of comparing the promise with the page's content: if the title announces a complete guide and the page is three paragraphs long, there is a gap to fix.
Google asks for descriptive, concise title tags. It may also generate another title when it detects that the page's title does not reflect its content, or that it repeats from one page to another.5 On a site produced at scale, check that each page has its own title and its own meta description, which is covered by the optimization of meta tags and heading structure in an audit checklist.
Pass 4: structured data
This is the pass people forget most often, because the markup is not visible on screen. Google sets two rules: do not mark up content that is not visible to the page's readers, and do not include misleading content, such as fake reviews or information unrelated to the page's subject.6
The fields to cross-check first are those shown in the results: price, availability, rating or the questions of an FAQ, as described in the guide to JSON-LD markup and rich snippets. Each must match what the visitor reads on the page.
Abusive markup can lead to a manual action that removes eligibility for rich results, without affecting rankings in classic web search. Google recommends testing the markup with the Rich Results Test.6
Pass 5: images and their alt text
Alt text describes what the image shows, in relation to the page's content. Google recommends informative content, with keywords used appropriately, and warns that stuffing the attribute with keywords degrades the experience and can make the site look like spam.7
When the image itself was produced by AI, Google's page invites you to give context about how it was created and points to the Google Merchant Center rules, which require the IPTC TrainedAlgorithmicMedia metadata for these images and separate labeling for AI-generated product data.1 For an online store, this is a point to check in the feed.
04Organizing the review in a small business
The method is only worth something if someone applies it before each publication. A few organizational choices are enough to make it sustainable without a dedicated team.
One person, one moment, one record
Appoint a reviewer who knows the business and who is not the person who ran the generation. Place the review before going live, when a correction costs nothing. Record in a spreadsheet the date, the page, the corrections and the sources found: if there is ever a doubt about a page, you can see what was checked.
Pages already online
Start with those that bring in contact requests or sales, then with pages mass-produced from the same template, whose profile comes closest to what the scaled content abuse policy describes.4
If the volume makes reviewing impossible, the fix lies in the volume: publish fewer pages, each one reviewed, rather than many pages whose content nobody has checked.
Saying how the page was produced
Google's page also invites site owners to give users context about how the content was created, for example by mentioning the use of automation.1 The page phrases this as an invitation, and the decision rests with the site. On an online store, the Merchant Center rules mentioned above add their own requirements.
Another Google page, updated the same day, calls fabricated author profiles deception: AI-generated photos, invented names, fake credentials.8