Six weeks ago, I went underground.
Not off the grid. Just deep into the private Discord servers where sneakerheads spot fakes before they hit the market. The Slack channels where CMOs trade budget hacks they’d never tweet. The WhatsApp threads where collectors swap intel like it’s insider trading.
I was lurking. Reverse-engineering how trust gets built in dark social. It seems like increasingly, we're seeing public feeds are for performance. And private chats are for proof.
Back in 2010,
Bitly found 69% of social shares happened in DMs and emails.
Today, it’s closer to 90%. These spaces aren't controlled by algorithms, they're ruled by humans.
Want in? Here’s how AI can help you:
1. Find the watering holes without wasting 100 hours: Tools like
SparkToro reveal where your audience actually talks and track how those spaces shift over time.
2. Decode the language in minutes, not months: Drop top conversations into
Microsoft Copilot or
Google Gemini and ask: “What slang, inside jokes, or recurring complaints stand out here?”
A skincare brand did this and found its audience was skeptical of clinical claims—so they pivoted to raw, unfiltered before-and-afters.
3. Pre-test content before you post: Use
Perplexity to analyze which links get shared most in those communities. Run your hooks through ChatGPT and ask: “Would this grab attention in a thread full of X jargon?”
Last month, a supplement brand nailed this. They scanned 500-plus
Reddit, Inc. threads on workout fatigue, discovered that everyone hated the term biohacking, and switched their messaging to old-school muscle science. Engagement tripled.
Your move this week:
1) Pick one niche community, whether it’s
Discord,
Slack, or a tight-knit
Substack.
2) Use AI to extract three insider phrases and identify one unaddressed gripe.
3) Draft content that speaks their language, not yours.
High impact means going beyond being data-driven to being community-fluent. And fluency starts with listening smarter. AI can help.
#hicm #DarkSocial #SocialListening #AI