Microsoft has added support for the data-nosnippet HTML Attribute for Bing Search. This was previously not supported but yesterday, Microsoft announced it is "introducing the data-nosnippet HTML attribute."

Yes, Google supports this, on some level, for a long time but not yet to the extent that Bing now does. Especially for paywalled content in this AI World. Bing is allowing partial access and dynamically adjusting how much is shared. This also allows SEOs to do things like A/B testing and more nuanced content exposure strategies.

Microsoft said, this can help you:

• Protect premium or paywalled content: Keep subscriber-only text, tables, and media out of previews while the page stays discoverable and eligible for inclusion in search and AI-powered experiences.
• Manage brand reputation: Exclude comments and volatile reviews from previews to keep messaging on-brand.
• Remove legal boilerplate from previews: Hide disclaimers, licensing, and cookie notices so snippets focus on value.
• Suppress outdated or irrelevant sections: Hide legacy notices and expired promotions to prevent stale summaries.
• Exclude sponsored or promotional content: Keep ads, affiliate blurbs, and promotional FAQs out of neutral previews.
• Stabilize A/B tests and experiments: Hide variant copy to avoid snippet churn during testing.
• Balance visibility and discretion: Surface high-value content while keeping sensitive sections behind the click.

Common directives include:

• noindex: Prevents a page from being indexed.
• nosnippet: Blocks all text and preview thumbnails from appearing in snippets.
• max-snippet, max-image-preview, max-video-preview: Limit the size or duration of preview content.

There are a lot more examples over here.

Great, thanks Glenn. Supporting that in Search and AI opens up new possibilities, especially for paywalled content in the AI era. It's no longer a binary choice of allow or disallow; it's about enabling partial access and dynamically adjusting how much is shared. From an SEO'...

'" Fabrice Canel (@facan) October 15, 2025

Publishers take control of your content in search and AI. Bing now supports the data-nosnippet HTML attribute to exclude sensitive sections from search snippets & AI answers, while keeping them indexed & rankable. Protect premiums, boilerplate, & more. Details:'... https://t.co/0oEAj5D1zu

'" Fabrice Canel (@facan) October 15, 2025

We now do support in Search, AI, grounding ... everywhere https://t.co/Cl9q9xqKZo

'" Fabrice Canel (@facan) October 16, 2025

Forum discussion at X.

The Microsoft Advertising blog posted about how to optimize for AI Search Answers. I thought it was weird to see this on the Microsoft Advertising blog and not on the Bing Search blog, because (a) it is an ad blog and (b) it was written by Krishna Madhavan, who is part of the Bing team, not ad team.

The blog post is named Optimizing Your Content for Inclusion in AI Search Answers and it discusses how to structure your content, schema, common mistakes, how to write and more.

The blog posts explain that the core difference between traditional search and AI search is how the content is displayed in the results. "In traditional search, visibility meant appearing in a ranked list of links. In AI search, ranking still happens, but it's less about ordering entire pages and more about which pieces of content earn a place in the final answer," he wrote.

He adds, "AI assistants don't read a page top to bottom like a person would. They break content into smaller, usable pieces '" a process called parsing."

He summed up at the end saying:

• Traditional SEO is still essential: Ensure crawlability, metadata, and internal linking remain the baseline.
• Structure your content: Use schema, clear headings, and modular layouts.
• Write with clarity: Be precise in language, context, and punctuation.
• Make answers snippable: Use concise, self-contained phrasing in lists, Q&As, and tables.

Again, the weird thing to me is that this put on the ad blog.

Forum discussion at X.