u/Zestyfar_Chat_8

I've been spending some time researching why certain brands keep getting recommended by AI while others barely show up. I assumed it was mostly about content quality and SEO. After manually testing prompts across ChatGPT, Gemini and Perplexity, my perspective changed. Many of the consistently recommended brands were not necessarily the ones with the best content. What they did have was strong review profiles, lots of third-party mentions, active discussions in communities and a solid overall reputation online. I also looked at some AI visibility tracking data and it seemed to support the same idea like brands with stronger external signals often appeared more frequently than brands that were focused mainly on publishing content. It made me understand that we are overestimating the importance of website content and underestimating the impact of reviews, community discussions and third party credibility.

Have you noticed a similar pattern? Do reviews influence AI recommendations more than content?

I’ve been using Hermes with managed hosting for a while and I like the model itself but I noticed something in my own usage. When I was using it through the terminal, I’d only really open it for specific tests or structured runs. It worked fine but it didn’t feel quick to use and basically impossible to show to non tech friends.

I switched to a simple web style UI (chat interface + history) recently and my usage increased a lot without me intentionally changing anything else. It just feels more natural to open quickly.

It made me realize if the interface layer is actually a bigger factor in adoption than we usually think for agents that are otherwise CLI first.

Anyone else here has seen the same thing with Hermes or other agents. Do you end up using them more once there’s a proper UI on top, or does it not really matter in your workflow?