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AI Agents for Marketing

The leverage of a big team, running on a lean one.

Custom AI agents that take the repetitive marketing work off your plate — reporting, content, campaign ops — so your team spends its hours on judgment, not execution.

Why this breaks

The pattern we see over and over

01

Reporting eats the week

Someone spends hours every week assembling numbers instead of acting on them — and the report is stale by the time it's shared.

02

Content can't keep pace

You know content should compound, but there's no one to consistently turn founder insight into published, distributed material.

03

Campaign ops are manual and error-prone

UTM mistakes, broken links, and inconsistent naming quietly corrupt the attribution data you're relying on.

What's inside

Six modules, built for your stage

Content & SEO agents

Agents that turn founder and customer insight into LinkedIn posts, SEO pages, and sales enablement — drafted for a human editor, not published blind.

Reporting & analytics agents

Weekly plain-English summaries of funnel, campaign, and pipeline changes, with anomalies and opportunities flagged automatically instead of buried in a dashboard.

Campaign-ops automation

Automated QA on links, UTMs, and tracking before launch, plus reusable templates for briefs, landing pages, and reporting — campaigns ship faster with fewer preventable errors.

Lifecycle & nurture agents

Behavior-triggered sequences — onboarding nudges, activation milestones, pre-renewal check-ins — that run without a human remembering to send them.

Competitive & market monitoring

Agents that watch competitor moves, category conversation, and buyer questions across channels, and surface what actually matters weekly.

Integration into your existing stack

Agents wired into the tools you already run — CRM, analytics, content platforms — not a parallel system you have to maintain separately.

How it runs

From kickoff to compounding

01

Weeks 0–2 · Identify

Find the highest-leverage automation

Audit recurring manual work and rank by hours saved × error risk. Pick the first one or two agents worth building.

02

Weeks 3–6 · Deploy

Agents go live in your stack

Built and integrated into your existing tools, with a human review step until trust is established.

03

Ongoing · Expand

Compound the automation

Each proven agent frees hours that get reinvested in the next highest-leverage automation — reporting this quarter, content next.

Proof

Already turned into revenue

< 60d

to a live GTM system

27K+

signups on an automated motion

Developer AI Platform

Automated reporting and campaign QA freed the team to focus on the PLG motion that drove 27K+ signups.

FinTech, Series A

Full GTM infrastructure — attribution, outbound, content engine, analytics — deployed and running in under 60 days with AI-assisted execution.

Questions

Before you book a call

Will an agent just publish content without review?

Not by default — agents draft, a human edits and approves. As trust builds on lower-risk workflows (internal reporting, first-draft outlines), we widen autonomy deliberately, never all at once.

What tools do the agents run on?

We build on top of what you already use — your CRM, analytics, and content tools — rather than introducing a separate platform you have to maintain.

Is this generic AI content, or specific to us?

Agents are grounded in your actual customer interviews, product data, and brand voice — the goal is leverage on your team's own insight, not generic output.

What's the first agent most teams build?

Almost always reporting — it's the highest-frequency manual task with the clearest, lowest-risk win, and it builds trust before automating anything customer-facing.

Often paired with

The other two systems

Ready to build ai agents for marketing?

A free discovery call — we'll tell you what we'd fix first.

Book a Discovery Call