Viral Content Keyword Assistant

Problem

When planning topics, monitoring trends, or reviewing campaigns, creators need to judge whether a topic has viral density on major content platforms and turn it into reusable keywords, angles, and review notes. The hard part is not searching; it is inconsistent coverage, platform noise, hard-to-verify engagement signals, and outputs that do not fit directly into editorial workflows.

How It Works

• Keyword expansion: extracts core terms, related terms, and searchable combinations from event descriptions, topic names, or industry needs.
• Scoped platform search: observes hot samples and interaction signals across Official Accounts, Douyin, and Xiaohongshu.
• Validation and cleaning: checks platform source, publish time, and engagement credibility, then excludes disallowed platforms and unverifiable leads.
• Structured output: delivers keyword blocks, platform summaries, aggregated term tables, and communicable angles for drafting, review, and competitor tracking.

Boundaries

• Coverage: it does not claim “whole web” coverage; platforms such as Kuaishou, Bilibili, Video Accounts, Zhihu, and Weibo should be excluded.
• Truthfulness: it must not fabricate links, engagement numbers, or publish times; when data is unavailable, it should explain why and suggest manual review.
• Freshness: outputs should reflect sample freshness levels so expired content is not presented as a current trend.