Question for the SEO people. I have thousands of pages that need descriptions and no time to write them by hand, so obviously AI is tempting. But Google keep saying they penalize mass AI content. So which is true for us - is AI-written page descriptions a penalty risk at scale, or is fine if the page is otherwise good?
And does it matter that it’s adult, where nobody is reading the description anyway, they came for the video? I don’t want to generate 20k descriptions and then get slapped.
google’s stance was never ai equals penalty, it’s unhelpful equals penalty, and mass-generated ai is just the easiest way to pump out unhelpful content at scale. a short accurate ai-assisted description on a page that has a real reason to exist is fine. twenty thousand near-identical ai paragraphs on twenty thousand thin pages is the exact thing they hunt for. the ai isn’t the risk, doing it on pages that shouldn’t be indexed is. fix the thin pages first and the description question answers itself.
nobody reading it doesn’t mean google isn’t. the description is still a ranking and dedup signal even if no human ever looks at it. what saves you isn’t hand-written vs ai, it’s making each one different enough that they’re not near-duplicates. i run ai-assisted but i feed it the actual per-page data, tags, performers, whatever, so the output varies. generic prompt gives you generic output and a footprint. specific input gives you varied output and you’re fine.
feeding real per-page data in so the outputs actually vary is the trick. wish i’d known that before i generated a pile of junk.
yeah its the thin-content and doorway thing, not the AI. the risk is spun generic garbage at scale. one lazy prompt run across ten thousand pages is what gets you filtered.
templated AI with real variables per page comes out fine and stays unique. one generic prompt across the whole catalog just builds a doorway farm with extra steps.
as the newbie here i almost mass-generated a few thousand descriptions and this thread stopped me. sounds like you feed the real per-page data in first instead of just hitting generate on a generic prompt.
thats how people talk themselves into thin content. google reads the page even when the user doesnt. either treat the copy like it matters or dont put it there at all.
one thing to add, run a dedupe check after you generate. AI loves converging on the same three sentences across a whole category, so you think you varied everything and half the pages come out near identical.
i did this before with cheap prompt and all description come almost same, google not like. now i put per-page data in the prompt and is much better. the problem is lazy prompt not the AI.
i learn this the hard way. one generic prompt over thousand pages, google see it as thin. but templated with real data per page the text vary and it hold up. always dedupe after, the AI repeat itself more than you think.
and then actually measure whether the descriptions did anything, because almost nobody does. i a/b’d ai descriptions against no descriptions on a batch of tube pages. the lift was real but small, and it only showed up when the pages were unique enough not to read as templated. so the dedupe isn’t just tidiness, it’s the line between a small gain and a duplicate-content flag. generate, dedupe, then check the actual numbers.
same lesson for me, learn it the hard way. raw ai on a naked prompt make a thousand pages that look almost the same and google flag them as thin. but you feed it the real tags, the real title, the real detail of the page, and the output actual varies and read unique. the ai is not the problem, the lazy prompt is. give it real data per page or you are just making duplicate content at scale.
it’s a build problem as much as an SEO one. from the dev side, the sites that do this well have their page data structured cleanly enough to pipe into the prompt automatically, tags, category, duration, whatever’s real. the ones generating junk have messy data feeding a generic prompt. good AI descriptions are downstream of good structured data, fix the data model and they come out unique for free.
half true and beside the point. users mostly don’t read them, sure. google reads every one, and duplicate or thin descriptions across thousands of pages is a sitewide quality signal whether a human sees them or not. you’re writing them so the crawler doesn’t file your whole site as thin. that’s why lazy AI descriptions actively hurt, they’re a machine-readable admission of low quality at scale.
the tell is simple. read three of your own pages back to back and if they blur together, the crawler sees the same thing you do. the fix is boring, real data per page then dedupe, but everyone wants the one-click button and the one-click button spits out duplicate content at scale. no free lunch on this one. lol
feeding real per-page data so the outputs vary is the entire difference between AI descriptions that help and thin duplicate junk, a naked template prompt gives you fifty thousand near-identical descriptions that add nothing, while feeding the real per-page data, the title, tags, performers, duration, get you genuinely varied descriptions that actually describe each page. it is not use-AI-or-not, it is feed-it-real-data-or-do-not-bother. the operators who get value from AI descriptions wired real page data into the generation rather than letting the model produce interchangeable boilerplate google correctly reads as mass-produced filler.
nobody reads adult descriptions is a lazy dodge because the descriptions aren’t primarily for human readers, they’re for google’s understanding of the page and for the long-tail terms they can help you rank for, so whether users read them is beside the point. write or generate them to serve the SEO purpose, real per-page content that helps the page get understood and found, rather than skipping them on the theory that no human cares. the human-doesn’t-read-it argument would only matter if the descriptions existed for humans, and they mostly exist for the crawler and the long tail.
on the wordpress side the practical way to do AI descriptions right is to wire the generation to the real post data through the fields you already have, so the model gets the actual title, tags, and metadata for each video rather than a generic prompt, which is very doable and turns AI descriptions from a thin-content risk into a genuine scale win. the failure mode is the one-prompt-for-everything setup that spits out interchangeable text. so build the generation to pull each page’s real data as input, because the plumbing to do that is not hard and it is the whole difference between descriptions that vary and describe and ones that are duplicate filler, and the operators who got burned on AI descriptions almost always used a generic template while the ones who got value fed real per-page data in, which on wordpress is a matter of connecting the generation to the fields the page already has.
this is the whole difference between ai descriptions that help and ones that are thin duplicate junk. a bare template prompt gives you fifty thousand near-identical descriptions. feed it the real per-page data, the title, the tags, the performers, the duration, and you get descriptions that actually describe each page. the rule is feed-it-real-data or do not bother, because the generic version is exactly the thin content that hurts you.
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