Sales Automation
SearchKings had a small team supporting thousands of advertising customers and needed a way to automate repetitive campaign-analysis work without losing the personalized service that differentiates the agency.
Reported impact
SearchKings cut negative-keyword review time from 30 minutes to five, automated campaign-analysis work at scale, and kept personalized service intact for thousands of customers with a team of just over 100 employees.
SearchKings built its internal operating system, Ease, on Google Cloud so account managers could move from manual campaign maintenance to faster, AI-assisted decision-making. The company initially used Google Kubernetes Engine for flexibility, then shifted more of the platform to Cloud Run and Cloud SQL so a lean development team could take advantage of serverless simplicity, autoscaling, and faster deployment. Gemini 3.1 Flash and Gemini 3.1 Pro power tools such as Negative Keyword Suggestion, which ingests campaign context like geography and customer vertical, recommends which search terms to exclude, and keeps a human reviewer in the loop before changes are applied. Around that core, Google Workspace and Firebase support collaboration and earlier product development, while Gemini CLI helps developers in daily work. This architecture lets SearchKings run tens of thousands of reports every day and serve thousands of customers with just over 100 employees.
Campaign and performance data enters the Ease platform, where Cloud Run-hosted services and a Cloud SQL-backed data layer feed Gemini models that analyze context such as geography and customer vertical, generate keyword and workflow recommendations, and return suggestions that account managers approve before acting on them.
Cloud Run was a perfect fit for us because it abstracted away a lot of the maintenance.
Cut manual search term review time from 30 to five minutes with Gemini
The team reviews those suggestions and either approves or rejects them, keeping a human in the loop but reducing time spent to an average of five minutes.
We have a little over 100 employees but thousands of customers.
We use Google Cloud solutions. We use Workspace. Our developers use Gemini CLI.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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