Original Summary

Ran this between March and September. 412 B2B startups, 367 UK and 44 French. Each company got a message score, zero to ten, read off its public page. Then three buyer questions per company, none of them containing a brand name, put to Google AI Overviews three times each. And a check on whether that company already sat in Google's top ten for those same questions. Then I split the 412 in two. The ones Google already ranks, and the ones it does not. Start with the 204 it does not rank. Weak message, and about one in seven of them got named at all. Strong message, about one in three. Same questions, same engine, same week. Now the 208 that Google does rank. More than nine in ten got named. Weak message, strong message, the gap all but disappears. That is the finding, and the explanation is duller than the numbers. When the engine write an answer it has to choose who to name. If you already rank, you are sitting right in front of it and it takes you. If you do not rank, it is working from whatever text it can find about you, and how well that text says what you do starts to decide. So the message is not a general growth lever here. It is what carries you through the window where you have no search footprint yet. Now what this does not prove, and I would rather say it myself than have somebody say it for me. It is not causal. An older company tends to write better copy and also to earn more links, and this design cannot pull those two apart. The message score comes out of our own analysis. Our instrument, not an independent one. And the 44 French companies on their own are far too few. Too small a group to point either way, and I am not going to pretend otherwise. I kept the correlation figures and the significance tests out of this post on purpose. Happy to drop them in a comment for anyone who wants to pick at them. One last thing, because it is the reading everybody jumps to. Fix your message or the AI will ignore you, that is not what this measures. Rank well and the engine names you whatever your page says. Names you. That is the whole of what I counted. Not the sentence it writes about you once it has named you, and not whether the reader picks you afterwards. Two separate questions, and this design does not go near either of them. Anybody telling you a citation count settles them is selling something. Which puts the finding at one specific moment. Post launch, post funding, pre traffic. If you rank well and still get skipped in AI answers, I would like to hear about it. That is the case my numbers say should be rare, and rare is where I would learn something.   submitted by   /u/HerveDhelin [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 18:58:58