If AI helps draft your pages, review more than the body text. Check the title, the meta description, the structured data, and the image alt text against the facts you can support. These fields are easy to skip because readers rarely see them on the page. Search results and other systems may still show them or use them to describe the page.
Google now says so directly. Its guidance on generative AI content says AI-generated content should be fact-checked and reviewed before publishing. It adds that the review covers title elements, meta descriptions, structured data, and image alt text, because these can appear in Search results. The page showed a last-updated date of October 1, 2026 when we checked it on October 16, 2026. Read Google’s guidance on using generative AI content.
What the guidance does and does not say
Some people read the update as a crackdown on AI-written content. The page does not say that. It focuses on accuracy, quality, and relevance. It warns that generating many pages without adding value for users may violate Google’s spam policy on scaled content abuse. It does not say content is penalized because AI helped write it.
The practical reading is simpler: whoever publishes the page is responsible for every claim on it, including the ones in fields that are hard to notice. A model drafting a meta description can promise free shipping that does not exist. A model writing structured data can copy a price from an old brief. Neither error shows up when you skim the article.
Google also suggests that if you automatically generate content, you consider telling readers how it was created, in a way that makes sense for your audience. It does not require one form of disclosure for every page. Shops have one extra rule to check: Google Merchant Center has its own policies for AI-generated product data and images, which the same page summarizes.
A field-by-field review
Use this as a checklist for any page where AI drafted some or all of the text. The right-hand column is the question to ask, not a ranking rule.
| Field | Where it may appear | What to check | Ask before publishing |
|---|---|---|---|
| Title element | Search results, browser tabs, shared links | It names this page’s actual subject, without repeated keywords or claims the page does not support | Would the page satisfy someone who clicked on this title alone? |
| Meta description | Search snippets, when Google judges it describes the page better than the page text | It summarizes the whole page and keeps prices, dates, and offers accurate | Is every fact here also visible on the page, and still true? |
| Structured data | Rich results and other search features, when eligible | It matches the visible content: same price, availability, rating, author, and dates | If the visible page changed tomorrow, would someone update the markup too? |
| Image alt text | Screen readers, image search, and whenever an image fails to load | It describes what the image actually shows, in context, without keyword lists | Does it describe this image, or the image the writer expected? |
Google’s documentation for each field supports these checks. Its title guidance asks for descriptive, concise, distinct titles without keyword stuffing (title links). Its snippet guidance describes a meta description as a short, relevant summary of the page and says long strings of keywords are less likely to be shown (meta descriptions). Its structured data policies require markup to represent visible page content (structured data policies). Its image guidance advises against filling alt attributes with keywords (image best practices).
A worked example
The page below is fictional. A small furniture shop asks an AI assistant to draft the product page for a standing desk, giving it a short brief. The brief came from last season’s catalog. Every product, price, and policy here is invented.
| Field | AI draft | Problem found in review | Corrected version |
|---|---|---|---|
| Title | “Best Standing Desk 2026, #1 Rated Standing Desk, Ergonomic Standing Desk” | Repeated phrase; “#1 rated” has no source | “Oak Lift standing desk, 120 × 70 cm, electric height adjustment” |
| Meta description | “Free worldwide shipping and a 10-year warranty on the Oak Lift desk.” | Shipping is free only within the country; the warranty is five years | “Electric standing desk with an oak top and 72–120 cm height range. Free delivery within Latvia, five-year frame warranty.” |
| Structured data | Offer price €449, in stock | Visible price is €489 after a supplier change; the walnut variant is out of stock | Price and availability per variant, matching the page and updated together with it |
| Alt text | “standing desk ergonomic desk office desk best desk” | Keyword list that says nothing about the image | “Oak Lift desk raised to standing height with a monitor and keyboard” |
None of the drafted errors would stand out to someone reading only the article body. Each came from the brief, not from the model inventing something on its own. That is common: a model repeats whatever outdated material it was given. A fact review therefore needs a current source of truth, not just a careful reader.
Make the review part of the workflow
A checklist only works if someone owns it. Three habits make it stick.
- Keep approved facts in one place. Prices, delivery terms, warranty periods, supported integrations, and certifications should come from a maintained list with a source and a review date. When the brief is wrong, everything drafted from it is wrong too.
- Review the source, not the rendered page. View the page source or use a markup testing tool so you can see the title, description, structured data, and alt attributes as written. They are easy to miss in a visual review.
- Re-review the fields when facts change. A price change should trigger a check of the visible price, the structured data, and any meta description that mentions it. Our article on building a product page that answers buyers’ proof questions shows how to record an owner and a checked date for claims like these.
Where Seenvero fits
These fields also describe your page to AI systems that fetch it. Seenvero’s Page Audit reports a page’s title, meta description, and whether structured data is present, along with what the page tells AI crawlers. It detects structured data but does not validate it, and it does not check whether any of those fields are true; that review stays with your team.
Seenvero’s Profile holds up to thirty approved facts, each with a source URL and the time it was reviewed. The Content Optimizer may use only facts from that list and checks each one back against it before showing it. Keeping those facts current is your team’s job; Seenvero does not verify them. That is the same principle as the review above: generated copy should repeat claims you have approved, not claims a model assumed.
Run a free check on one of your pages to see what its title, description, and markup currently tell crawlers, then review each field against your facts.
Common questions
Does Google penalize content written with AI?
Google’s guidance does not say that. It focuses on accuracy, quality, and relevance, and warns that mass-producing pages without added value may violate its scaled content abuse policy.
Do we need to review alt text on every image?
Review it wherever AI wrote it. Alt text is read aloud to people using screen readers, so an inaccurate description is an accessibility problem as well as a search one.
Should we tell readers that AI helped write a page?
Google suggests considering it where it makes sense for your audience. Decide based on what your readers would reasonably expect to know, and be consistent.