Twitter/X

Wispra is presented as a case study for GojiberryAI’s signal-based outbound…

2026-04-01 · 12:56 UTC ·@romanbuildsaas ·1 min read

Brief

Wispra is presented as a case study for GojiberryAI’s signal-based outbound approach. The post claims Wispra monitors buying-intent signals around AI search, then uses contextual outreach across LinkedIn and calls to reach prospects already showing interest. According to the author, this process now drives most demos and influences half of revenue while helping close large enterprise accounts.

Source evidence

title: @romanbuildsaas: I just got some insane numbers from one of our customers, Wispra 👇

~30 demos/week
→ 60% sourced fro...
author: @romanbuildsaas
contenttype: tweet
publication: Twitter/X
published: 2026-04-01T12:56:12+00:00
sourceurl: https://x.com/romanbuildsaas/status/2039325960500359627

word_count: 125

I just got some insane numbers from one of our customers, Wispra 👇

~30 demos/week
→ 60% sourced from GojiberryAI

~50% of revenue influenced by us !!

How they use Gojiberry:

→ Find high-intent leads
→ Send highly contextual outreach

Signals they track:

  • people engaging with AI / GEO content
  • likes & comments on influencer posts
  • discussions around ChatGPT / search AI
  • prospects interacting with competitors

Their system:

Find people already talking about AI search
→ capture them via signals
→ multi-touch outreach (LinkedIn + calls)
→ book demos

Results:

→ Higher conversion rates
→ Better quality pipeline
→ Enterprise deals

They closed accounts like:

→ Decathlon
→ Allianz
→ AXA

Signal-based outbound = reaching buyers when they’re already in motion.