The problem.
Writers start with a keyword and a blank page. They skim the first three Google results, paraphrase what they find, and call it research. The result is content that rehashes what already ranks instead of adding something new.
How it works.
AI search citation mapping
The pipeline queries Google AI Overviews, Perplexity, and ChatGPT to identify which sources get cited for your target keyword. This reveals the information AI engines consider authoritative.
SERP and keyword analysis
Search intent classification, People Also Ask extraction, and related keyword discovery build a complete picture of what searchers want and what currently ranks.
Competitor page crawling
Automated browser crawling of top-ranking pages extracts their heading structure, content depth, topics covered, and media usage. Your brief knows exactly what to beat.
Why it matters.
Drafts grounded in data
Every article starts from competitor intelligence and SERP data, not assumptions about what might rank.
Information gain over rehashing
AI citation analysis reveals what sources get referenced, so your content can add perspectives that existing results miss.
Consistent research depth
Whether you publish 5 or 50 articles per month, every piece gets the same three-phase research treatment.