Google's New Rule for AI-Written SEO: Fact-Check Your Titles, Descriptions, Schema & Alt Text

What changed

On October 1, 2026, Google updated its guidance on using generative AI content, bringing it in line with its Search Quality Raters guidelines. The key sentence is direct: it's critical to manually fact-check and review all AI-generated content for accuracy and trustworthiness before publishing.

The part most site owners will miss comes next. Google says this review also applies to metadata like title elements, meta description elements, structured data, and alternate texts for images, because those can appear in Search results.

That matters because metadata is exactly what most AI SEO tools generate — Peak Visibility included — and it's usually generated in bulk, for every page at once. This guide covers what Google is and isn't saying, why metadata deserves a closer look than it usually gets, and a practical checklist for reviewing it without reading every line by hand.

What Google is not saying

• It's not banning AI. Google has said that appropriate use of AI or automation isn't against its guidelines. What violates its spam policies is content generated primarily to manipulate search rankings.
• It's not a new ranking update. This is a documentation change. Quality raters' guidelines shape how Google evaluates its systems, but raters' ratings don't directly affect how any page ranks.
• It's not asking you to label every AI-written tag. Google's disclosure advice in its people-first content guidance is aimed at content where readers would reasonably wonder how it was created. The emphasis for metadata is accuracy, not labels. (Online stores have separate Merchant Center rules — covered below.)

Why AI-written metadata needs a human check

Google's own explanation is the clearest one: generative models don't retrieve facts — they predict a likely sequence of words, which can produce inaccuracies, often called hallucinations. In body content, a wrong sentence is one problem on one page. In metadata, mistakes have a bigger footprint:

• It's what searchers see first. Titles and descriptions can become your search listing.
• Structured data makes claims machine-readable. A wrong price, opening time, or rating in JSON-LD is a factual claim about your business.
• Alt text is what screen-reader users hear. An inaccurate description misleads the people who rely on it most.
• It's generated at scale. One bad pattern in a prompt or template repeats across every page it touched.

The review checklist

Title tags

Check each against Google's title link guidance:

• Does it describe this specific page? Titles should be descriptive and distinct. Long titles where only one word changes from page to page read as boilerplate.
• No keyword stuffing. Google's own example — "Foobar, foo bar, foobars, foo bars" — can make results look spammy to Google and to users.
• Does it match the page's main heading? Google builds title links from several sources, including the title element and visible headings, so the two should agree.
• Is every fact right? Product names, model numbers, locations, and years are where generated titles most often go wrong.

Meta descriptions

Google's snippet documentation explicitly allows generating descriptions programmatically on large sites, as long as they're human-readable and diverse. So the check is quality, not origin:

• Unique per page. Identical or near-identical descriptions across pages aren't helpful.
• An accurate summary of what's on the page — including specifics like price or author only if the page actually shows them.
• Not a string of keywords, which Google says is less likely to be shown as a snippet.

Google often writes the snippet from your page content instead, so a description is a suggestion — but when Google does use it, it's presented as a summary of your page, so it has to be true.

Structured data

This is the highest-stakes item, because Google's structured data guidelines come with real consequences:

• Every value must match what visitors can see. Don't mark up information that isn't on the page, even if it's accurate.
• Never let a tool invent reviews or ratings. Review markup has to reflect reviews that are actually on the page; fake reviews are prohibited.
• Use the right type for the page. Markup that doesn't fit the content — Google's examples include labeling instructions as recipes — counts as misleading.
• Check hours, addresses, phone numbers, and prices against your real business information.
• Validate it with the Rich Results Test. Validation catches syntax errors, not wrong facts, so it comes after the checks above, not instead of them.

Misleading or irrelevant markup can lead to a structured data manual action, which removes the page's eligibility for rich results. See our schema markup guide for which types fit which pages.

Alt text

Google's image best practices ask for alt text that's useful, information-rich, and in context:

• Does it describe what's actually in the image? AI image descriptions can confidently misname products, places, and people.
• Does it fit the page? The same photo can need different alt text on a product page and a blog post.
• No keyword stuffing — Google warns it creates a negative user experience and may cause a site to be seen as spam.
• Decorative images get an empty alt="", not a generated description.

Our alt text guide has examples for each case.

If you sell online: Merchant Center has its own rules

For product data you send to Google Merchant Center, Google's guidance points to separate requirements: AI-generated images must carry IPTC DigitalSourceType TrainedAlgorithmicMedia metadata, and AI-generated product titles and descriptions must be specified separately and labeled as AI-generated. That's about your product feed, on top of the page-level checks above.

How to review at scale without reading every line

1. Start with your most important pages. Google itself suggests prioritizing critical URLs like the homepage and popular pages. Use Search Console's Performance report to find the pages that get the most impressions.
2. Review by template, then fix the pattern. Generated metadata repeats patterns, so check a few product pages, a few service pages, and a few blog posts. If one is wrong in a systematic way, fix the source or prompt and regenerate, rather than patching pages one by one.
3. Hard-check every factual value. Prices, hours, phone numbers, addresses, ratings, dates, and specs get verified against your source of truth, every time.
4. Look for duplicates. Sort your titles and descriptions in a spreadsheet — identical rows are boilerplate to rewrite.
5. Validate structured data before it goes live, then check Search Console's rich result reports after.
6. Re-review when pages change. Metadata written for last season's prices or old opening hours goes stale just like body content.

Don't scale pages, scale quality

The same guidance repeats a warning worth taking seriously: using generative AI to produce many pages without adding value for users may violate Google's spam policy on scaled content abuse — which applies whether pages are made by automation, people, or both. If you're generating pages rather than just their metadata, read our guides to pages Google crawls but won't index and building topical authority first.

Where Peak Visibility fits

Peak Visibility uses AI to draft meta tags, schema markup, and alt text for every page it scans. Every scan includes a Peak Report that scores each page by how completely its SEO assets were generated, which is a useful way to triage: start with the lowest-scoring pages. But that score measures completeness, not factual accuracy — so even high-scoring pages need the fact checks above before they go live. Apply to Shopify and Apply to WordPress are built around that check: they open a review showing each page's current title and description next to the generated ones, let you edit either field, and write nothing until you tick the pages to change. Pages under 60% confidence start unticked.

Want to see your current metadata first? The free checker shows your page's title tag, meta description, and schema markup in full, no signup required.

FAQ

Does Google penalize AI-generated title tags and meta descriptions?

No. Google says appropriate use of AI or automation isn't against its guidelines. What it asks is that you review AI-generated metadata for accuracy before publishing, and that you don't use automation primarily to manipulate rankings.

Do I have to disclose that my metadata was written by AI?

Google's guidance for page metadata focuses on reviewing it for accuracy. Its disclosure advice is aimed at content where readers would reasonably wonder how it was created. Merchant Center is the exception: AI-generated product titles, descriptions, and images have their own labeling requirements.

Is the October 2026 change a ranking update?

No. It's an update to Google's documentation, aligning it with the Search Quality Raters guidelines. Raters' assessments help Google evaluate its systems but don't directly change how individual pages rank.

Can I still generate meta descriptions automatically?

Yes. Google's snippet documentation says programmatic generation is appropriate for large, database-driven sites, as long as the descriptions are human-readable and diverse. Review a sample of every template and fix patterns at the source.

What happens if AI-generated structured data is wrong?

Misleading or irrelevant markup — including content that isn't visible on the page or reviews that aren't real — can lead to a structured data manual action, which removes the page's eligibility for rich results.