Owning the Next Channel Early: How Pieo Turned AI Search into a High-Intent Lead Engine
Paid Search was performing. Efficiency had improved. But costs continued to rise, and reliance on a single acquisition channel created exposure. The objective was clear: build a new, scalable source of demand that could reduce dependency on paid media without compromising lead quality. Pieo identified AI Search as an emerging channel with untapped potential and moved early to test its commercial impact.
The business had a strong Paid Search engine, but structural risks were building:
There was a need to diversify into channels that could generate high-intent demand more efficiently.
1. Build Around Real Buyer Conversations
We started with the source of truth: sales interactions.
This ensured relevance from the outset.
2. Optimise for AI Search, Not Traditional SEO
The strategy shifted from keywords to intent:
Visibility was built for how search is evolving, not how it worked historically.
3. Measure What Actually Matters
Early data revealed a non-obvious pattern:
User behaviour differed significantly. Prospects engaged with content within AI platforms and only visited the website when ready to take action.
This shifted how performance was evaluated. Traffic volume became less relevant than conversion efficiency and lead quality.
AI Search moved from experiment to a credible acquisition channel.
"AI Search wasn’t on our roadmap before, now it’s a meaningful source of high-quality inbound. What stood out was how intentional the approach was. The content directly reflects the conversations we’re already having with prospects, which means the leads arriving are informed and ready to move. Seeing a channel drive 10% of leads from such a small share of traffic changed how we think about growth. It’s now a core part of our strategy, not just an experiment."