Siftsy is a comment‑intelligence platform that transforms comment sections into decision‑ready insights for enterprise teams. It automatically ingests and analyzes thousands of comments from Instagram, TikTok, YouTube, LinkedIn, X and other sources, extracting tone, key topics, emerging trends and audience sentiment. The resulting intelligence helps PR, marketing, community and influencer teams validate creative ideas, shape messaging, and respond to crises with data‑driven confidence.
Funding
Funding not disclosed
Founders
Product
Problem
Social, influencer, PR, and communications teams struggle to extract actionable insights from large volumes of public comments across multiple platforms, leading to delayed or uninformed decisions about messaging, creative direction, and crisis response.
Solution
Siftsy provides a comment intelligence platform that ingests public posts from Instagram, TikTok, YouTube, LinkedIn, and X, then automatically analyzes thousands of comments in minutes. The system quantifies tone, nuance, relevance, and key topics, surfacing emerging trends and audience sentiment. Insights are presented in a decision layer that can be used to validate creative concepts, inform briefs, guide crisis management, and optimize campaigns. By turning raw comment data into structured, decision‑ready intelligence, Siftsy enables teams to respond quickly and align strategies with real‑time audience reactions.
Target Audience
Primary customers are social media, influencer marketing, public relations, and corporate communications teams that need rapid, data‑driven insights from comment sections.
Features
- Multi‑platform ingestion of public posts from Instagram, TikTok, YouTube, LinkedIn, and X
- Automated sentiment and tone analysis that captures nuance and relevance at scale
- Topic extraction and trend detection to highlight emerging conversation drivers
- Dashboard that visualizes audience reactions and links insights to messaging, creative, and crisis response workflows
- Ability to test assumptions and creative bets against actual audience feedback