How an SEO company used hyper-targeting to book 60% of their demos
Key Results
Demo generation
~30 demos/week β 60% sourced from Lumio
Revenue impact
~50% of revenue influenced by signal-based outreach
Enterprise traction
Won key accounts like Decathlon, Allianz, AXA
Overview
The SEO company we worked with helps companies structure their data to become authoritative sources for AI search engines.
In just 6 months, they reached ~250 clients, targeting companies with strong local presence (insurance, real estate, hospitality).
But scaling pipeline in a new category (AI search / GEO) required more than traditional outbound.
The problem
Before working with us they relied on:
cold calls from scraped data
cold email from Sales Navigator lists
limited LinkedIn outreach (too time-consuming)
The core issue:
π they were targeting ICPβ¦ not intent
Their founder explained:
βWe needed to reach people already thinking about AI search β not just people who fit our ICP.β
At the same time, they wanted to move upmarket toward multi-location networks, where timing and relevance matter more than volume.
How their perspective changed
One key change was made:
π They stopped targeting profiles and started targeting conversations.
Instead of asking:
β βWho fits our ICP?β
They started asking:
β βWho is already talking about our category?β
This changed everything.
What we changed
We built a signal-driven outbound engine.
Signals we track
people engaging with AI / GEO content
likes & comments on influencer posts
discussions around ChatGPT / Search AI
prospects interacting with competitors
These signals identify buyers already in motion.
How we run it
This is the exact system we use:
Find prospects already talking about AI search -> Capture them via intent signals -> Launch outreach (LinkedIn) -> Book demos
Simple. Repeatable. Scalable.
Results
Gojiberry quickly became the core driver of their pipeline.
Pipeline impact
~30 demos per week
~60% directly sourced from Gojiberry
Revenue impact
~50% of revenue influenced by Lumio
Even in a multi-touch sales cycle, signal-based outreach consistently drives a large share of closed deals.
Enterprise traction
This approach helped them land major accounts like:
π Decathlon
π Allianz
π AXA
Not through mass outreach, but by entering conversations at the right moment.
Why it works
The difference is not the channel.
Itβs the timing.
βWeβre not reaching out randomly anymore. Weβre entering conversations that already exist.β
Signal-based outbound allows them to:
reach prospects at peak interest
increase demo conversion rates
focus on high-quality opportunities
Product experience
Their highlights:
precise signal targeting
ability to capture engaged audiences (likes, comments, discussions)
prioritization of agent-sourced leads
βThe more we refine signals, the better the quality gets.β

