GTM & Content Agents

Custom AI agents for content, signals, and distribution.

We build custom GTM (go-to-market) and content agents for B2B SaaS startups, on your stack and owned by you. An agent is an AI workflow that runs one job end to end, with human approval gates where they matter.

One-time fixed-scope build

Code lives in your repo

Standard build: 4-6 weeks

Book an intro call Fixed-scope, one-time builds. No per-article fees afterward.

Who this is for

Teams that want to scale output, not headcount.

Series A and later B2B SaaS

A technical founder and a senior content marketer who want to scale publishing without scaling headcount. The agent ships 4-8 high-quality articles per week; the strategist reviews.

Teams running outsourced content

B2B SaaS already running an outsourced content program that wants to bring production in-house while keeping editorial outside. We build the in-house piece and keep strategy and editorial review on retainer.

AI-native B2B SaaS

Companies that want the hiring story and technical credibility of operating an AI-native content stack. The agent IS the case study you tell prospects.

What you get

Four agent families. Build one, or combine them.

Each family is custom-fit to your stack, voice, and pipeline. Every agent runs on your tools (HubSpot, Clay, Apify, LinkedIn); the code lives in your repo.

Content production agents

The standard 4-agent build. Four agents ship AEO-built marketing content end to end (research, drafting, QA, schema, publishing) at marginal cost:

A research agent that runs live AI-engine queries to find citation gaps for your target prompts
A writer agent calibrated to your voice card, built from your existing best content
A deterministic linter that enforces AEO discipline as a hard gate
A publish agent wired directly to your live site repo

Optional fifth role: an image agent that renders brand-locked HTML/CSS templates via Playwright, with gpt-image-1 fallback for editorial covers.

Signal-based outbound agents

Agents that watch for buying signals at your target accounts (funding rounds, hiring sprees, leadership changes) through tools like Clay and Apify, match them against your ideal customer profile, and draft personalized outreach for a human to review. Your team keeps the send button.

AEO and citation monitoring agents

Agents that track how often AI assistants (ChatGPT, Perplexity, Claude, Google AI Overviews) cite your domain for the prompts your buyers ask, and flag when a competitor takes your spot.

Citation tracking is how we measured results in our Tofu case study: 2.36x AI search visibility in 90 days. These agents put the same tracking in your stack. Pair them with our AEO content program if you also want the pages built for you.

Distribution automation agents

Agents that turn each published asset into channel-ready variants (LinkedIn posts, newsletter sections, clip scripts) and stage them for review in your scheduling tool. You publish once; the agent handles repurposing.

Handover is part of every build. We document the system, train your team to run it, then step back.

What we don't do

Three things we say no to.

No B2C or e-commerce

We do not build agents for B2C, e-commerce, or consumer brands. The architecture would carry over, but our voice cards, AEO playbooks, and buyer-journey calibrations are built for B2B SaaS specifically.

No "agents in a box"

We do not deliver "agents in a box" you can configure yourself. Every agent is built against a specific publishing surface, voice, and topic ladder. If you want a self-serve tool, this is not it.

No long-term operation

We do not operate the agent long-term unless you want us on retainer for editorial review. The handover is the point.

How it works

Four phases, six weeks.

This is the standard 4-agent content production build. Other families are scoped the same way on the intro call.

1 Phase 1 · Week 1

Scoping

Voice card, topic ladder, AEO target queries, publishing-surface audit.

2 Phase 2 · Weeks 2-4

Build

4-agent system, schema templates, AEO linter, image templates.

3 Phase 3 · Week 5

Smoke ship

First 2-3 articles shipped through the agent with you in the loop.

4 Phase 4 · Week 6

Handover

Documentation, training, optional retainer for editorial review.

Examples

The proof is this site.

The agent behind this site

The clearest proof is the one you are reading: this site's content pipeline runs on an agent we built and operate ourselves. We built our own content agent first; it now produces every article on this site.

Tofu: 2.36x AI search visibility in 90 days

Citation tracking is the discipline the monitoring agents automate. It is how we measured results in our AEO engagement with Tofu.

Read the Tofu case study

How we build them

If you want the how-to before the pitch, start with our content agent guide.

Read the content agent guide

Disclosure: StartupCookie is our agency. The agent we operate to produce this site is one we built; that is the proof of capability we sell. More studies are in production in our case studies hub.

Pricing

Pay once for the build.

Agent builds are fixed-scope, one-time projects, priced on the intro call. There are no per-article fees afterward. An optional managed-service retainer covers ongoing editorial review, month-to-month, no long contracts.

Standalone content services (managed content programs, founder LinkedIn) are month-to-month engagements, no agent build required. Every engagement is custom-scoped on the intro call. See Pricing for how our engagements work.

FAQ

Frequently asked questions

Do I need a content agent if I already have a content team?

Not necessarily. Content agents amplify a senior content marketer; they do not replace one. If you have a 5+ person content team already shipping consistently, the agent's marginal value is lower. If you have one senior strategist trying to scale, the agent multiplies their output 4-8x.

What happens if the agent ships a bad article?

It does not, because the publish gate is human-approved. The agent stages a commit; a senior strategist on your team (or ours, on retainer) reviews before the push. The linter catches most issues before they reach the human gate; the human catches the rest.

Do you white-label the agent?

No. The agent we build is your code, in your repo, written for your team. There is nothing to white-label. We do not put the StartupCookie name in the agent's output.

Can I see the agent that runs this site?

Yes. Book a call and we will walk through the architecture, the orchestrator, the skill files, and the deployment pipeline that ships every article on this site. The system is the case study.

How long does the buildout take?

Standard 4-agent build: 4-6 weeks from kickoff to first article shipped through the agent. Builds with multi-author voice, multi-site publishing, or custom integrations take 6-10 weeks.

Who owns the agent code after the build?

You do. The agent lives in your repo. We deliver it, document it, train your team on it, and (optionally) stay on retainer for editorial review.

Build your GTM and content agents with StartupCookie.

One-time, fixed-scope builds. The standard 4-agent build takes 4-6 weeks. We build the agents on your stack and your voice. You own the code. We can stay on retainer for review or hand it over clean.

Book a 20-minute scoping call

We will walk through your stack, your publishing surface, your team's editorial bar, and whether an agent buildout is the right move for your stage. No pitch deck.