Thanks! I do really wonder though if content marketing like this post, or other posts on reddit actually bring any Paid users, which is what I'm trying to focus on. Because I see my viewership skyrocket when i do posts on reddit yet I get the same amount of Paid users in these days as the days I did 0 posts for like 2 weeks straight...
Oh didn't know about that, perhaps you're right the keyword was just very low competition. Thanks for the advice, will hard focus on growth now trying to find other channels!
Not making any money. Imo it's as simple as that. First project I built for 6 months without even launching, like what a complete idiot. Second I kept thinking oh I'll add monetization later. Others as well not thinking about money first and validating my product with a Paywall. Validation can ONLY happen when people PAY imo.
I want to start doing paid advertisements and maybe try to rank for more competitive keywords with google ads. I'm very new to ads though so I don't know if I'll have much success
I have 200 followers on twitter and get barely any like/comments on my posts so X is not my main distribution. Reddit gets decent views but I don't think I get many PAID users from it anyways.
I think honestly 80% of my users come from my domain name giving me a huge SEO boost. I knew people who need my product would search "AEO Check" or "AEO Checker" hence I named my domain aeochecker.ai, a week after I published my site i was already ranking top 5 in this keyword (also because it was very low competition)
Honestly I think 80% of my users were because of my domain name. I knew people who need my product will search "AEO Check" or "AEO Checker" so I called my domain aeochecker.ai + the fact that this keyword is very low competition
I often see news debating which ai model is best or find myself switching between different models when one doesn't quite get the answer. For example, sometimes o1 isn't getting it so I go try with deepseek and it gets it, or vice-versa.
I even started copying outputs from one model to another, pasting and asking "What do you think of this response and thinking, could it help us solve the issue?"
That got me thinking: rather than focusing on finding the single "best" model, why not leverage multiple top models simultaneously and synthesize their combined insights?
I've been testing this approach with common "challenges" such as the how many "r" or "l" letters are in a word, or the generate falling balls in a rotating hexagon, as well as more difficult problems. The combined responses have consistently been excellent.