Many SEO teams still treat AI Overviews like a side quest with its own secret optimization playbook. Google’s latest guidance is refreshingly blunt about that idea.

According to Google’s guide to optimizing websites for generative AI features, traditional SEO practices still matter. Your content needs a clear technical foundation, useful information, and a strong experience for human readers.

Google doesn’t require special AI markup, tiny content “chunks,” or an llms.txt file for visibility. It also doesn’t recommend rewriting content solely for generative search systems.

If your pages aren’t crawlable, indexable, useful, and eligible for snippets, an “AIO strategy” won’t rescue them. In many cases, it’s simply traditional SEO repackaged with a more expensive name.

The uncomfortable part is that the traffic risk is real, even if the secret hack isn’t.

A recent study, The Impact of AI Search Summaries on Website Traffic: Evidence From Google AI Overviews and Wikipedia, examined more than 161,000 matched article-language pairs. Researchers found that AI Overview exposure reduced daily traffic to English Wikipedia articles by approximately 15%.

That result doesn’t prove every website will experience the same decline. Wikipedia’s content and audience differ significantly from those of commercial websites.

However, the findings should matter to informational publishers, affiliate websites, and top-of-funnel blogs. These teams can’t keep reporting on rankings as if it’s still 2023.

When a searcher receives a sufficient answer directly in the results, a page must work harder to earn the click.

The practical response is less exciting than chasing a new optimization trick. It’s also considerably more useful: measure what’s actually happening.

Google now provides a dedicated Generative AI performance report in Search Console. The report includes impression data for AI Overviews and AI Mode.

Site owners can use it to review trends by page, country, device, and date. This creates a clearer view of which content appears across Google’s generative AI features.

Use that report alongside the standard Search Console Performance report. Watch page-level clicks, click-through rates, query groups, conversions, and branded versus non-branded demand.

Don’t rely on one blended traffic chart and a bad feeling.

The reporting still has limitations. Search Console’s dedicated generative AI report focuses on impressions rather than providing every desired query-level or click-level detail. That makes broader performance analysis essential.

Compare generative AI visibility against organic clicks, conversions, and engagement. Look for pages that maintain impressions but lose traffic after AI Overviews become more prominent.

This is also where experienced SEO support earns its keep. Raw reporting rarely explains what content should change or which losses truly matter.

Google also gives site owners control over participation and content presentation.

The Search generative AI control lets eligible site owners manage whether their content appears in Google’s generative AI features. Google also points to nosnippet, data-nosnippet, max-snippet, and noindex for limiting how content appears in Search.

Those controls are useful, but they aren’t magic shields. Restricting content can also reduce visibility, impressions, and potential referral traffic.

For most websites, the smarter approach remains familiar. Publish original information, provide stronger formatting, improve internal linking, and give readers a reason to continue beyond the summary.

Firsthand experience, proprietary data, expert analysis, useful tools, and original visuals create value that a short answer can’t fully replace.

If your entire page can be replaced by one paragraph in the search results, the problem probably isn’t missing AI markup. The content simply may not offer enough value beyond the summary.