Why many AI-generated websites don't show up on Google

Hacker News

We’ve been experimenting quite a bit with AI website builders and kept seeing the same pattern: Sites often look finished to users — modern UI, fast loads, everything appears “done” — but when search engines crawl them, much of the main content isn’t actually present yet. In many cases the issue isn’t SEO basics, keywords, or content quality. It’s simply when the HTML is generated and what Google receives on first visit. We wrote up a calm, non-marketing explanation of what’s going on, how to spot it yourself (even if you’re not very technical), and why this keeps happening with many modern AI builders. We’re also building a tool (Pagesmith) around this problem, but the article stands on its own and should be useful even if you never use our product. Happy to answer questions or be challenged on any of the claims.

Visit product View on Hacker NewsDec 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, user · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: google, users · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder, users · Missing: plus, platform, intuitive

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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