I told a founder to get listed on the review sites. Her report showed AI was citing her competitors' homepages.
I build Orbator. It measures whether AI assistants recommend your product, and traces which sources they read before answering.
A founder emailed last week asking which two or three placements would move the needle for her consumer money app. I assumed the answer was directories and review sites, because that is the advice everyone gives. My own data should have warned me. Across the software categories I track, the most cited domains are reddit and youtube. G2 is the biggest review site, close to four times Capterra, but it sits eighth overall and reddit gets cited almost nine times as often.
Looking into the detail of her actual report changed that. For the question that matches her differentiator, an app that works without connecting your bank, the engines had cited three pages. After checking all three, every one was a competitor's own website. Not a review site, not a listicle. Just products like hers, being used as the source. One of them runs almost exactly her pitch, a 0 to 100 money score with no bank linking, and it gets cited while she gets nothing.
So the assumption was wrong. The gatekeeper was not an editor at a review site. It was her own homepage. Those competitor pages get cited because they say it plainly, right there on the page: "never link a bank", "no bank linking required". Her site says it once, as a feature bullet.
Here is what I had missed. The directory playbook is real, it is just a B2B playbook. When someone is buying a tool for work there is a G2 page to lean on. For consumer apps there is no G2, so the engines fall back on whoever explains the category best, and that is usually a competitor. I had one dataset, I had not even read it closely, and I assumed it applied everywhere.
The test I use now: look at who is already getting named. All household names, skip that question. Apps you have never heard of in there, the slot is open.
Has anyone here checked which sources the AI answers in your category are actually built on?
This is a good example of how AI citation behavior doesn't map cleanly onto traditional SEO rankings. Was it purely about content depth on the competitors' homepages, or did you notice structural things too, like how the info was organized or phrased, that seemed to make AI more likely to pull from them?
The shift from the original assumption to what the actual report showed is interesting. Curious how often the cited sources differ from what you would expect going in.
This is measurement system lag in action. Founders built their intuition when review sites = distribution. That measurement system told them "get on the review sites" because that's what worked. But the distribution channel shifted (AI is now the amplifier) and their measurement system didn't update. Classic founder blindspot: you can't see the problem your measurement system can't measure. Until you can't compete.