SEO / GEO + AI Agent Automation

Aruvi

A rebuilt content architecture for AI answer engines, plus deployed AI agents that run triage, drafting and reporting as a managed service.

Year

2024

Timeline

Ongoing

Category

SEO / GEO + AI Agent Automation

Our role

GEO strategy · AI agents · Managed service

Aruvi

The challenge

Traditional SEO was plateauing and the brand had zero presence when customers asked AI assistants for recommendations. Meanwhile the team was drowning in manual content ops — drafting, tagging, routing and reporting by hand.

Our approach

How we built it.

01

Restructured content into entity-rich, citation-friendly formats that generative engines can quote confidently.

02

Built a knowledge base that both the website and the AI agents draw from, so answers stay consistent everywhere.

03

Deployed AI agents for inbound triage, first-draft content and weekly performance reporting.

04

Set up a managed-service loop where we monitor, tune and expand the system every month.

Aruvi detail 1
Aruvi detail 2

The outcome

3.4x

Organic visibility growth

60%

Manual ops hours removed

Ongoing

Managed AI service

3.4x growth in organic visibility across traditional and AI search.

60% of manual operations hours removed through agent automation.

Consistent citations inside AI-generated answers for target queries.

A compounding pipeline that improves without adding headcount.

Tech stack

Next.jsPythonLLM AgentsVector DBStructured DataAnalytics

We went from invisible to being quoted by the assistants our customers actually use. And half our busywork just… disappeared.

Founder, Aruvi

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