The Brief
Traditional search engine traffic dropped sharply as AI answer boxes expanded. Prospective buyers were asking complex comparative questions in generative search engines.
The brand lacked structured citations in Perplexity, Claude, and ChatGPT indexes. Our objective was capturing high-intent executive researchers before competitors did.
What I Did
Entity Linking & JSON-LD Schema
We deployed comprehensive Schema markup across all product and comparison pages. Entities were explicitly mapped to Wikidata and authoritative industry taxonomies.
Semantic Citation Corpus Creation
We produced clear, direct answers formatted specifically for generative engine parsers. Each answer cited verified benchmark figures and operational data points.
Core Web Vitals & Fast Indexing
We optimized asset delivery to achieve sub-second server response times. Fast indexing protocols submitted new research to search crawlers immediately.
The Numbers
Organic traffic and qualified demo submissions verified across Google Search Console and CRM logs.
| Channel Metric | Baseline | 6-Month Result | Net Growth |
|---|---|---|---|
| Monthly Organic Visitors | 27,400 | 120,800 | +340.8% |
| Perplexity Source Citations | 4 | 186 | +4,550% |
| Executive Inbound Pipeline | $240,000 | $1,260,000 | +425.0% |
| Organic Conversion Rate | 1.8% | 3.9% | +116.6% |
What I Would Do Differently
I would have built an automated prompt tracking dashboard earlier in the project. Manual citation audits consumed hours that could have been saved with automation.
Suraj Rana • Search Systems Evaluation