How to Fact-Check AI-Written Titles, Meta Descriptions, and Alt Text

Most teams that use AI to help with web content do read the article before it goes live. Far fewer read the title tag, the meta description, the structured data, or the alt text with the same care. Those fields are short, they are generated in bulk, and they are the text that actually appears in search results.

That is where a wrong number or an invented claim does the most visible damage. A hallucinated price in a meta description is shown to every searcher, not only the people who click.

Google Has Put Human Review In Writing, Or Is Reported To Have

Google’s guide on using generative AI content on your website says to focus on accuracy, quality, and relevance, and it names metadata specifically: title elements, meta descriptions, structured data, and alternate text for images, which can appear in Search results.

As of 2 October 2026, one trade publication reported that Google’s changelog lists a 1 October update to that guide, adding that generative models predict likely word sequences rather than retrieve facts, and that it is critical to manually fact-check all AI-generated content before publishing, metadata included. The same report says no new penalty or ranking signal was announced. When we retrieved the page itself, the cached copy did not yet show the new sentences, so treat the exact wording as unconfirmed and read the live page before quoting it.

Either way, the practical advice does not depend on the wording. If you generate metadata with a model, a person checks it. For where the policy line actually sits, see Google’s AI content policy: what is actually banned.

Check Every Number, Name, And Claim Against The Page

Models smooth things over. A title that began as “Pricing from €7/month” can come back as “Affordable plans from just €5/month” after one careless rewrite, and nothing about the sentence looks wrong.

Use a simple rule: every figure, proper noun, date, and superlative in the metadata must appear on the page, in the same form. If the meta description says “free shipping,” find the sentence on the page that says so.

Before:

Learn why our software is the fastest on the market and trusted by thousands of teams.

After:

See how the rewrite overlay works, what it costs, and which engine runs on your PC.

The second version promises only what the page delivers. “Fastest on the market” and “thousands of teams” were claims nobody could point to, so they came out.

Read Titles And Meta Descriptions As A Searcher Would

A description can be factually clean and still mislead. Ask what a searcher would expect to find after clicking, then check the page delivers it above the fold.

Watch for three habits in generated metadata: a keyword stuffed into every field, a question title whose answer is not on the page, and a trailing “Learn more today.” The craft side is covered in how to write a meta description that earns the click. The review side is simpler: could you defend every phrase to an unhappy reader?

Validate Structured Data, Do Not Just Read It

Schema is the metadata people trust most and read least. A model can produce valid-looking JSON-LD with a wrong price, a review count nobody counted, or an author who does not exist.

Two checks catch most of it. First, compare each value in the markup to the visible page, since markup that describes content users cannot see is a policy problem on its own. Second, run it through a validator and the relevant feature guidelines. Google’s own guide says to validate markup to ensure eligibility for Search features. If you are weighing whether schema is worth the effort at all, does schema markup help you get cited by AI covers what the evidence supports.

Alt Text Needs A Human Who Can See The Image

Alt text is the field most often written without looking. A model working from a filename or a caption will describe the picture it expects, not the one you uploaded.

Open the image, read the alt text, and confirm it describes what is actually there and why it matters on that page. How to write alt text that earns its place has the longer version.

Make The Rewrite Step Safe Before The Review Step

Review is the backstop, not the plan. If you use a rewriter to tighten or reword metadata, give it a standing instruction that protects the facts so there is less to catch later.

A Wrivio Context for metadata cleanup could say:

Rewrite this as a title tag or meta description for a web page. Keep it under the length limit I give. Keep every name, figure, price, date, and product claim exactly as written. Do not add superlatives, statistics, or promises that are not in the original text.

Press Ctrl+Shift+Space, paste the draft, and read the result against the original line by line. The goal is the same as in how to keep facts unchanged during a rewrite: wording changes, facts do not.

Common Questions

Do I really have to fact-check meta descriptions if I only use AI for small edits?

Yes, a quick check is enough for small edits, but do it. A one-word change can flip a figure or add a claim, and metadata is shown in search results before anyone reads your page.

Did Google add a new penalty for unchecked AI content?

Not according to the report we found: it says no new penalty or ranking signal was announced. The scaled content abuse policy is the existing enforcement mechanism, so confirm the details on Google’s documentation updates page.

What is the fastest way to review hundreds of AI-generated titles?

Sample and script. Extract every number and proper noun from each title and description, diff them against the page text, and read manually only the ones that do not match.

Should I tell readers that AI helped write the page?

Google’s guide suggests explaining how automation was used where that makes sense for your audience. It is a judgment call, not a ranking requirement.

Download Wrivio for Windows to rewrite metadata with a context that keeps every figure and claim exactly as you wrote it.