Signeasy, a leading mobile-first eSignature solution, was not getting enough traction in AI-powered search. When potential customers asked ChatGPT or Perplexity about eSignature solutions, Signeasy wasn't appearing in recommendations.
In 6 months, we transformed their LLM presence—growing monthly sessions from 20 to 800 (a 3,650% increase), expanding their LLM page visibility from 3 to 55+ pages, and generating 98 qualified leads.
Here's how we positioned Signeasy as a go-to solution in AI-generated responses.
About Signeasy
Signeasy stands out as a leading mobile-first eSignature solution trusted by more than 48,000 businesses worldwide. They've earned recognition for their user-friendly interface and seamless integrations, receiving accolades in industry reports from Apple, Google, and G2. Signeasy enables companies across various sectors to streamline their document workflows with minimal friction.
They partnered with TripleDart to capture emerging AI-powered search traffic without diverting resources from their successful traditional SEO efforts.
The Challenge: AI Search Visibility
When potential customers asked platforms like ChatGPT and Perplexity about eSignature solutions, Signeasy wasn't consistently appearing in recommendations. With only 15-20 unpredicted monthly sessions from these AI platforms, Signeasy needed a strategy to capture this emerging traffic source.
Minimal Traffic from LLMs
Signeasy was struggling to drive traffic from LLMs, operating in a highly competitive space with limited visibility compared to competitors. They needed to identify opportunities where Signeasy could rank and outperform others in AI responses.
Driving Leads from LLMs
Signeasy was generating around 5-6 leads per month, primarily from its homepage, with no other pages contributing to lead generation. Several queries existed where the brand wasn't ranking. Expanding the number of non-branded pages appearing in LLMs presented a key opportunity for growth.
TripleDart's Approach
Working with Signeasy, we developed a focused 6-month strategy to align their digital presence with how large language models discover and recommend content.
Timeline of Impact
Our 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 its existing high-performing assets. Our approach was built on two key insights:
- Pages already ranking well in SERP and driving traffic
- Creating new content around queries that tend to be searched on LLMs (comparison, listicle, review)
This strategic focus allowed Signeasy to create quick wins by enhancing already-valuable content rather than starting from scratch. We did this by picking up 30 top traffic-driving pages and optimizing them manually.
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:
1. LLM.txt File
We created an llm.txt file for Signeasy using a free LLM text creator and hosted it on the website. The file includes comprehensive information about Signeasy, such as its products, solutions, positioning, and other key details—making it easier for LLMs to consume and reference.
2. Conversational Format
We reformatted Signeasy's content into question-answer pairs for the top 30 traffic-driving pages, creating a natural conversational flow that LLMs can easily parse and cite as an authoritative source for relevant queries.
3. First-Fold Summary Sections
We added concise "Key Takeaways" or "Quick Overview" sections at the top of Signeasy's blog pages and guides, providing LLMs with an immediate understanding of each page's value and relevance.
4. Strategic FAQ Integration
We developed comprehensive FAQ sections for all of Signeasy's priority pages, packaging valuable information in the question-answer format that LLMs prefer when sourcing direct responses.
5. Schema Markup Implementation
We implemented extensive schema markup that could be easily consumed by both traditional search crawlers and LLM systems, improving content understanding and citation likelihood.
Off-Page Enhancement Strategy
Beyond on-page optimization, we implemented several off-page tactics to boost Signeasy's LLM visibility:
1. Forum Engagement
We identified relevant discussion threads on Reddit, Quora, LinkedIn, and industry forums where we could meaningfully contribute to conversations while naturally referencing Signeasy's content as a valuable source.
2. Citation Building
We systematically increased the number of online mentions for Signeasy's key pages, recognizing that LLM platforms tend to prioritize sources with broader internet presence when generating responses.
3. Targeted Authority Building
We secured high-quality backlinks from credible industry sources to enhance the URL rating and topical authority of Signeasy's priority pages, further signaling their value to LLM systems.
Results
This methodical approach transformed Signeasy's LLM performance from just 15-20 unpredictable monthly sessions in September 2024 to 700-750 consistent monthly sessions within six months—a 3,650% increase achieved with minimal resource diversion from their core SEO strategy.
Month over month: LLM Visibility Growth across all mediums
Month over month: LLM Visibility split by mediums
Lead Generation Growth:
We focused on improving conversions month by month. Here's how we saw steady growth in lead generation:
With a total of 98 leads, we consistently improved conversion rates, with an increase of 71% in leads from April to July.
Additionally, the number of pages appearing in LLMs increased from 3 to over 55 within six months, driving more than 600 clicks during that period:
Our Team
- Account Manager: Zawad
- SEO Lead: Akilan
- Project Manager: Ankita
- Content: Surobhi
Conclusion
By strategically optimizing existing content for LLM consumption and building off-page authority, Signeasy transformed their visibility in AI-powered search to become a consistently recommended solution across ChatGPT, Perplexity, and other AI platforms.
The combination of on-page LLM optimization, strategic content restructuring, and targeted authority building created a foundation for sustainable AI search visibility that continues to grow—capturing high-intent traffic at the exact moment prospects are seeking solutions.
Ready to dominate AI-powered search and capture emerging LLM traffic? Let's talk about how strategic GEO can position your brand in AI recommendations.
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