Original Summary

I've been manually studying how ChatGPT, Claude, Gemini and Perplexity recommend B2B software when the user has actual buying intent. Something surprised me. The interesting companies aren't necessarily tiny or unknown. I've found products with real customers, meaningful revenue and a very strong fit for the buyer's requirements that still don't appear in the recommendation set. Meanwhile, the same few competitors keep getting shortlisted. I've started thinking about this as a "traction vs discovery" mismatch. For example, imagine: Company has thousands of users Product clearly satisfies the requirements Buyer asks four AI systems what product to use Competitors appear repeatedly Company appears 0/4 The tempting explanation is "they need more content." But I'm increasingly skeptical of that. Some companies already have comparison pages, use-case pages and plenty of content and still don't enter the shortlist. It makes me think third-party category association, repeated independent mentions, competitor co-occurrence and external evidence may matter much more than simply publishing more pages. I'm still testing this manually because I don't want to confuse correlation with causation. Curious what other SaaS founders are seeing: Are buyers mentioning that they discovered you through ChatGPT/Claude/Perplexity yet? And have you ever checked what happens when someone asks those systems for your exact product category without mentioning your brand?   submitted by   /u/Far_Check_2577 [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：2026/10/9 01:02:17