How Slate Took Signeasy’s LLM Visibility to 800 Monthly Sessions with 60-68% Consistent Growth
Our Solution
Working with Signeasy, we at Slate developed a focused 4-month strategy to align their digital presence with how large language models (LLMs) discover and recommend content. The approach targeted high-intent queries and positioned Signeasy as a go-to solution in AI-generated responses.
Strategic Page Prioritization
Rather than creating entirely new content, we helped Signeasy leverage their existing high-performing assets. Our approach was built on two key insights:
- Pages already ranking well in Google search were naturally receiving some unexpected LLM traffic
- Content that met Google's quality threshold likely contained valuable information that LLMs would also favor
This strategic focus allowed Signeasy to create quick wins by enhancing already-valuable content rather than starting from scratch.
Content Optimization Strategy
We categorized Signeasy's high-performing pages into three strategic buckets:
- Informational content clusters
- Competitor comparison pages
- Solution/product landing pages
For each category, we implemented these targeted optimizations:
The Results
This methodical approach transformed Signeasy's LLM performance from just 15-20 unpredicted monthly sessions in September 2024 to 700-750 consistent monthly sessions within three months—a 3,650% increase with minimal resource diversion from their core SEO strategy.
We also focused on improving conversions month by month. Here’s how we saw steady growth in lead generation over the past few months:
With a total of 98 leads, we've consistently improved conversion rates, with a remarkable increase of 71% in leads from April to July.
