Turning insurance services into a repeatable search content engine for Chase Insurance Brokers
How insurance search demand was mapped into service content, local signals, and a publishing workflow — with 80 published assets and 30 keyword targets recorded against the work.
- 80
- Published assets
- 30
- Keyword targets
- Insurance
- Industry
Turning insurance services into a repeatable search content engine for Chase Insurance Brokers. Read the Uplift AI customer story for insurance SEO workflow growth.
Where insurance demand was going unanswered
For insurance businesses, prospects search by policy type and by situation, comparing coverage and price across providers. Mapping that demand against the pages that already existed turned the gap into a list of missing answers rather than a generic keyword export, with published assets and keyword targets set as the measures the work would be judged on.
Building for published assets
Planning concentrated on policy-type pages, coverage comparisons, and claim-process content that answers what people worry about. Because published assets was the headline measure, briefs prioritised the pages closest to that outcome first, and every item moved through the same review and publishing path so what shipped stayed traceable to the demand that justified it.
What published assets and keyword targets recorded
Supporting work covered consistent broker and location data, transparent disclosure, and internal links between policy families. Against that baseline this account recorded 80 published assets and 30 keyword targets. Those figures describe Turning insurance services into a repeatable search content engine for Chase Insurance Brokers only — they are a record of one engagement, not a projection for other insurance businesses.
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