Your agents need context.
Siftree grounds your agents in real-time social media data - millions of posts, accounts, and comments, indexed and ready to query.
Seeing customer churn chatter rise around onboarding friction in B2B SaaS.
Comments suggest demand spike for lightweight local AI workflows.
Conversation volume around agent reliability is up 34% this week.
More than data.
Every post is processed before it reaches your agent - embedded, analyzed, and structured.
Neural Search
All posts are embedded at ingestion. Agents can query by meaning or keywords.
Sentiment
Every post carries a sentiment score. Agents understand emotional tone at scale.
Named Entities
People, brands, and topics are extracted and tagged from unstructured text.
Topic Clusters
Posts are automatically grouped into narratives. Agents see trends, not noise.
Social is chaotic.
We make it reliable.
Without Siftree, AI answers from social posts, comments, and threads are unverifiable and inconsistent. Different runs, different signals. To cut through the noise, you need a governed ontology.
ChatGPT
TikTok
Discord
Reddit














