← VIR Insights Book a strategy call
Service · 06 / 06 · AI-Powered Strategy

Compounding leverage,
from AI tools built for marketers.

Modern marketing intelligence stacks, built on AI tools for analysis, content production, and competitive positioning. The same leverage we use internally, deployed in your team.

What we do

AI tools won't
replace your team.
But they will 10× them.

Marketing teams are drowning in repetitive analysis: pulling numbers, summarizing reports, drafting copy, monitoring competitors. AI is genuinely good at all of these, when set up correctly. When set up poorly, it produces confident garbage.

We build the tooling, the prompts, the data pipelines, and the review rhythms that turn AI from a novelty into compounding leverage for the analysts and strategists you already employ.

→ Capability 01

Analytical workflows

Custom GPT configurations, Claude Projects, and prompt libraries that turn 4-hour analytical tasks into 20-minute ones, without losing the rigor.

→ Capability 02

Content production engine

AI-augmented content workflows: research, drafting, editing, optimization. Designed so the output passes both human and AI-search quality bars.

→ Capability 03

Competitive intelligence

Automated monitoring of competitor pricing, content cadence, ad creative, and search visibility, synthesized weekly into action briefs.

→ Capability 04

Custom tooling

When the off-the-shelf tools don't fit, we build small, focused internal tools, like our own Intelligence Suite, that solve the specific problem.

Built in-house

We eat our own
cooking.

Our Intelligence Suite, the SEO/AIO/GEO scoring engine we use on every client engagement, is one example of building rather than buying when the existing tools didn't go deep enough. We share the same approach with partners.

You won't get advice that says "use ChatGPT more." You'll get the actual stack, including custom-built tooling, that we've tested in our own work.

See the Intelligence Suite →

How we work

Four phases. Build leverage, ship value.

i

Map

Audit the existing workflows: which tasks consume the most time, which produce the most value, where AI can augment without diluting the work.

ii

Prototype

Build the first AI-augmented workflow as a working prototype, usually a Claude Project or custom GPT, that the team can use immediately.

iii

Iterate

Refine prompts, expand context windows, tune the review rituals. AI tooling improves with feedback, most fail because nobody iterates.

iv

Embed

Train the team, document the workflows, and build the internal review process so the leverage compounds, even after we've handed off.

Engage

What's the
highest-leverage
workflow to automate?

A 30-minute call. Tell us about the work that takes too long, gets done poorly, or doesn't get done at all. We'll tell you which AI tools we'd reach for and what we'd build.

Book a strategy call →