Original Summary

This brand already had decades of awareness, thousands of reviews, and products people genuinely liked. But when we checked category queries across AI engines, something stood out: The brand's own website appeared in <3% of the cited sources. Reddit alone appeared 3× more often . A lot of the remaining citations came from: Review sites Comparison blogs YouTube Forums And this created a second problem. One old forum discussion about after-sales service was repeatedly being used around durability questions. So the brand had strong real-world reputation, but the information AI was retrieving didn't always represent that reality. We treated it less like a traditional SEO project and more like a machine-readable information problem. We worked on: → Product/spec information → Warranty and service details → Clearer first-party claims → Evidence that could actually be extracted → The broader sources AI engines were using to understand the category Four weeks later: Owned-source citations: ~3% → ~8% Small sample. One brand. Four weeks. So I'm definitely not claiming this proves some universal AI SEO playbook. But one thing became pretty clear: Your website isn't the entire surface of your brand anymore. If AI is answering questions about your products, the "brand surface" also includes Reddit threads, reviews, comparison pages, YouTube transcripts, forums, and whatever else the system decides is trustworthy. Traditional SEO asks: "Can people find my website?" AI visibility adds: "What sources are shaping the answer when my website isn't the source?" I'm curious how other SEOs are approaching this. Are you actually measuring your brand's AI citation mix yet, or are you still mainly tracking mentions/rankings?   submitted by   /u/Creepy-Opening1465 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/28 21:29:38