I was testing how LLMs rank products in our space by asking vague buyer questions like "what's the best tool for X." We showed up on Gemini, but ChatGPT kept listing older competitors that haven't updated in years.
It made me realize how inconsistent these AI recommendations are compared to traditional Google SEO.
If you added comparison pages, structured data, or an llms.txt file recently, did you notice any real difference in how models cite you?
One day, we got an email from a user confused as to why our application displayed "Error 403" after trying to invite a teammate. That was all he could tell us. I had written that particular error message almost eight months ago, so I had never even thought about it again since then because I knew what 403 meant.
I decided to go through every single one of the error messages in the product and re-write them to inform the user what had gone wrong and how he could proceed. Support emails about "The app is not working" decreased significantly, despite the bugs in question remaining exactly the same. I knew what the problems were. I just did not see them anymore.
The hero screenshot has been swapped for a fifteen second, unmotivated clip of a single task performed in real time, no zooming, no narration, no music.
Sign-up from this page was markedly improved. The slick two-minute video, which we paid for last year, remains on our about page and is rarely viewed.
