From strong brand recall to dominating non-branded lending queries and AI-driven conversations.
8/10
LLM answers now cite the brand
8/10
LLM answers now cite the brand
The problem we started with
The health insurance brand had strong content coverage, but it was built for traditional search, not for how people prompt AI tools. High-intent questions about pre-existing conditions, waiting periods, and plan comparisons were not structured for AI to extract. That gap was limiting visibility in AI answers.
What we did
01 Audit: Analysed real buyer prompts across several LLMs and mapped them against existing content.
02 Strategy: Prioritised 50 high-intent prompts across key insurance journeys: conditions, eligibility, and comparisons.
03 Execution: Created and restructured content to match prompt formats, optimised for clarity, structure, and AI extraction.
04 Measurement: Tracked prompt coverage, citation frequency, and conversion impact each month.
Results what happened next.
8/10
LLM answers now cite the brand
3.6x
Increase in AI and LLM mentions
198%
Growth in organic conversions
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Growth starts with visibility.
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