By the Mayab Media Team
Ask Google an everyday how-to question this week and you may well find a page from facebook.com/fb-answers/ in the results.
Those pages are Facebook Answers. Each one is an AI-written summary built from public Facebook posts and pages, and Meta leaves them open for search engines to index. According to Search Engine Roundtable's November 5 report, Google has indexed more than 6 million of them, and they rank.
The pages were first documented by Saul Westbrook of Peripheral Creative, who says he noticed Meta indexing them in June. SEO consultant Glenn Gabe dates the directory to July and says it now ranks for millions of queries, in the regular blue links, in AI Overviews, in AI Mode and as citations in Gemini. His label for it: scaled content abuse.
That's Google's own term. And it's the reason we're writing this.
Read Google's definition, then look at fb-answers
Google's spam policies (last updated August 28, 2026) describe scaled content abuse as pages generated mainly to manipulate rankings, typically unoriginal and of little use to the reader. The policy says the production method doesn't matter. Its examples include using generative AI to churn out lots of low-value pages and stitching together other people's content without adding anything.
Now picture a page that takes a few public posts, has an AI summarize them, and publishes the result at scale under a domain with enormous authority.
You can draw your own conclusion. Gabe already did.
To be fair to Meta, there's a product logic here. In June, Meta launched AI Mode inside Facebook search in the US, which answers questions from public Group posts, Reels and Marketplace listings. Indexable answer pages look like the web-facing side of that same idea. Whether Google sees them as useful or as spam is Google's call, and as of the reports we read, Google hadn't said anything publicly.
Search Engine Roundtable's Barry Schwartz doubts the pages will stay indexed for long now that people are paying attention. We'd guess the same. Guessing isn't knowing, though.
The part that should worry you (it isn't Meta)
Meta can absorb a manual action. It has other traffic. Most businesses don't.
The danger for everyone else is a smaller copy of the same play. Picture a company that spins up 300 AI-written service or FAQ pages. They get indexed, a few rank for a while, and then the whole site sinks. The policy Gabe is pointing at Facebook is the same one that catches those sites, and it isn't scaled to company size.
So if your takeaway from this story is "Google lets big brands do it, so we can too," please don't. There's a real chance it's a double standard. There's also a real chance it ends with 6 million pages deindexed.
Neither outcome helps you.
What we'd check on your site this week
Start with an honest count. Open Search Console, go to Indexing, then Pages, and look at how many URLs you have indexed versus how many actually get clicks (Performance, then the Pages tab, last 3 months). Say you have 420 indexed pages and 55 of them got any clicks. That leaves 365 pages doing nothing, and if a chunk of them came out of an AI tool with light editing, that's your risk pile.
Then sort that pile three ways. Merge pages that answer the same question twice. Rewrite the few that cover something your customers really ask about, adding what only you know: prices, process, photos of your own work, the mistakes you see people make. Remove or noindex the rest. It's slow work, and nobody enjoys deleting pages they paid for. It's still far cheaper than trying to recover from a sitewide hit.
There's a flip side for brands on Facebook
These pages are built from public posts. If your business posts publicly on Facebook, your words could end up summarized in an fb-answers page that ranks in Google, or gets cited in an AI Overview. That's free visibility you don't control.
Two quick checks. Search Google for site:facebook.com/fb-answers plus your brand name and see what comes up. Then reread your recent public posts with that in mind. An outdated price or an old promo could get repeated back to searchers by a summary you never wrote.
Rumors say Instagram may be doing something similar. Nobody has confirmed that, so we wouldn't plan around it yet.
Google's rules on mass-produced AI pages haven't changed because Meta tested them, so build pages a person would actually want to read.
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