Marketing tools

Who Says So

We read the YouTube comments so brands see what needs attention, creators see what to make more of, and buyers see what other users really think.

Category
Marketing tools
Stage
Growth
For
Brands, Creators and Shoppers

About

We read the YouTube comments so brands see what needs attention, creators see what to make more of, and buyers see what other users really think.

Features

Problem
Large comment volumes are difficult to interpret.
How it works
Reads comments and classifies each as praise, complaint, question, tip, correction, memory, hate, or other; it also assigns positive, negative, or neutral sentiment.
Result
Clearer evidence of what people are saying about a topic, product, or brand.
Why
Users can see counts and percentages behind the conversation rather than relying on isolated comments.
Problem
Important new questions and complaints can go unnoticed.
How it works
Lets users configure category-specific alerts across chosen videos, with custom natural-language criteria and scheduled checks.
Result
Users can spot opportunities or concerns sooner and reply on YouTube themselves.
Why
Relevant comments are surfaced for attention rather than buried in comment streams.
Problem
Reports cannot anticipate every follow-up question.
How it works
Provides a downloadable Markdown file containing counts, classifications, comment excerpts, and links for use with a paid AI assistant.
Result
More flexible analysis of themes such as price complaints, unanswered questions, and competitor mentions.
Why
Users can investigate their own questions beyond the preset report summaries.
Problem
Research may require different scopes of YouTube content.
How it works
Supports keyword searches, a single-video search, and reports spanning selected sets of videos; users can also compare two or three reports in one file.
Result
Research can fit brand monitoring, content planning, or purchase comparison workflows.
Why
Users can investigate a broad topic, one conversation, or alternatives side by side.
Problem
Users need traceable findings rather than unsupported summaries.
How it works
Shows counts behind percentages and links comment excerpts back to YouTube.
Result
Findings can be checked in context before acting on them.
Why
Users can inspect the source comments underlying reported figures.

Screenshots

Who Says So screenshot
Who Says So screenshot
Who Says So screenshot
Who Says So screenshot
Who Says So screenshot

Founder

Robert Brus

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