u/Great_Finn

I've been comparing DR and AI Visibility lately and I find these two metrics are actually pretty similar. They're both third-party companies measuring Google and the models, and what they give you is a simulated value. DR is a bit more accurate, since links are easy to measure, they either exist or they don't. But at the end of the day, it measures backlink weight, which is one layer away from actual rankings. AI Visibility's numbers are even less accurate.

I've also lost confidence in DR, because I think external links are getting less important. Google uses mixed signals now. Even if your site has high DR or strong backlinks, if your content makes users unhappy and bounce rate or other metrics are bad, Google will keep pushing your pages down. I also have some pages with low DR but useful content. Especially the guide-style pages where users stay for a long time, those rankings keep going up.

As for AI Visibility, the only use it has for me now is letting me see which articles are being cited by AI consistently, and observing competitor content. The links it gives are more useful than the numbers. I've noticed the top citations are pretty stable, but the tail ones (especially after rank 4) actually fluctuate a lot. I can't help wondering if it only uses the top two or three pieces of content to build the answer, and the rest are just for reference. If Google only needs the top 10 links on page one to be solid, then for AI maybe it only needs the top two or three links to be solid.

I've been comparing DR and AI Visibility lately and I find these two metrics are actually pretty similar. They're both third-party companies measuring Google and the models, and what they give you is a simulated value. DR is a bit more accurate, since links are easy to measure, they either exist or they don't. But at the end of the day, it measures backlink weight, which is one layer away from actual rankings. AI Visibility's numbers are even less accurate.

I've also lost confidence in DR, because I think external links are getting less important. Google uses mixed signals now. Even if your site has high DR or strong backlinks, if your content makes users unhappy and bounce rate or other metrics are bad, Google will keep pushing your pages down. I also have some pages with low DR but useful content. Especially the guide-style pages where users stay for a long time, those rankings keep going up.

As for AI Visibility, the only use it has for me now is letting me see which articles are being cited by AI consistently, and observing competitor content. The links it gives are more useful than the numbers. I've noticed the top citations are pretty stable, but the tail ones (especially after rank 4) actually fluctuate a lot. I can't help wondering if it only uses the top two or three pieces of content to build the answer, and the rest are just for reference. If Google only needs the top 10 links on page one to be solid, then for AI maybe it only needs the top two or three links to be solid.

I've been comparing DR and AI Visibility lately and I find these two metrics are actually pretty similar.

They're both third-party companies measuring Google and the models, and what they give you is a simulated value. DR is a bit more accurate, since links are easy to measure, they either exist or they don't. But at the end of the day, it measures backlink weight, which is one layer away from actual rankings. AI Visibility's numbers are even less accurate.

I've also lost confidence in DR, because I think external links are getting less important. Google uses mixed signals now. Even if your site has high DR or strong backlinks, if your content makes users unhappy and bounce rate or other metrics are bad, Google will keep pushing your pages down. I also have some pages with low DR but useful content. Especially the guide-style pages where users stay for a long time, those rankings keep going up.

As for AI Visibility, the only use it has for me now is letting me see which articles are being cited by AI consistently, and observing competitor content. The links it gives are more useful than the numbers. I've noticed the top citations are pretty stable, but the tail ones (especially after rank 4) actually fluctuate a lot. I can't help wondering if it only uses the top two or three pieces of content to build the answer, and the rest are just for reference. If Google only needs the top 10 links on page one to be solid, then for AI maybe it only needs the top two or three links to be solid.

I keep seeing tools talk about AI visibility, but I’m becoming less and less sure what this metric actually represents.

How is this metric calculated in Topify, and how is it different from other tools?

Does it really count as visibility if AI only casually mentions your brand once? Or does it only become valuable when the brand is clearly recommended, cited, or actually influences user decisions?

How are visibility and brand mentions measured, and what is the relationship between the two?

Thanks for the invite.

How do you personally think about AI visibility, and what useful information should we be trying to pull from it?

I saw you mention that it can help with both content and conversion rate. How are you actually using it for those things?

I’ve read a lot of discussions about AI visibility, but almost no one clearly explains how it is connected to revenue. Instead, they just make one assumption: as long as your AI visibility is high, customers and orders will keep coming in.

First, I’m not going to discuss whether this metric is reliable or not. I still haven’t seen a clear case showing the full chain from “AI mentions increased” to “we made more money”.

I run a small brand that has just started. It’s almost impossible for me to compare myself with brands that have been operating for many years. So how exactly can the metric of AI Visibility help me?