Most companies already have the data they need—they're just ignoring it. In this episode, we break down how comments expose customer intent, fix your messaging, and drive smarter decisions, featuring insights from Marc Weinberg of YourComments.AI.

0:00 Why negative comments stick more than positive ones
3:49 Intro to Marc Weinberg and YourComments.AI
6:28 The core problem, too many comments to actually use
7:57 How companies like Tesla use customer feedback at scale
10:07 Why most people ignore comments, and why that's a mistake
11:36 Comments as a business intelligence tool beyond social media
13:12 The role of bots, spam, and platform limitations
16:28 Why big platforms don't solve the problem
18:16 Real time comment insights and future use cases
21:05 Understanding sentiment and customer perception
23:14 The psychology of feedback and decision making
29:12 Comments as signals, not noise
33:17 Filtering data, positive, negative, and patterns
35:03 The real challenge, what to do with the data
38:00 Using AI to uncover trends, intent, and patterns
41:10 The risk of audience capture when listening too closely
43:08 Using repeated questions to improve messaging and products
46:09 How creators and companies use comments to build new products
49:45 Why some content wins, and what comments reveal about it
56:18 The shift from social connection to algorithm driven content
58:04 Cutting out noise and focusing on signal
1:00:17 The mental cost of ignoring how comments affect you
1:02:47 Building better teams and communication through feedback