[altdataseller]

The problem is I don't trust all those SaaS reviews in sites like G2, TrustRadius, Gartner etc. A lot of them are paid, and incentivized. Heck, I personally wrote a few nonsense ones just to get free gift cards. But I know some people give our free credits or discounts if you write a review for them.

Even a lot of "free" reviews on Reddit are secretly posted by the company, or someone who got paid by the company.

[UPDATE] Just tried the tool. 7 of the 8 bullet points your tool gave me was also given to me by Claude. I think both are using similar data sources, so I fail to see what differentiates this tool

[romanleeb]

Hi this is Roman, the co-founder Andrei mentioned in the post.

I agree with you, a good chunk of these reviews come about through incentivizing people and not all of them are organic in nature. However, many are genuine and even the ones that are from people receiving some sort of credits do contain some very interesting things. But I get your point, would be better if there was no carrot in front of their faces urging them to leave a positive review.

Also we do not take them at face value but instruct the model to distill out the essence of what is mentioned when analyzing the user feedback and formulate a response based on patterns embedded in the findings across multiple reviews.

Curious on what you got as a response from Claude - can you share the prompts with me?

[guru4consulting]

I tend to ignore positive reviews in general as they can be bought. Negative reviews are more reliable in identifying any common pattern of problems with a particular product. I guess this tool will be helpful in that case.