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AI Marketing Agency Tech Stack: What We Actually Use

The tools your agency runs on determine how fast you can scale. Here's the AI-driven tech stack we use to manage 170+ clients without burning out the team.

Allen Anant Thomas

Allen Anant Thomas

November 15, 2024

3 min read
Marketing TechnologyAgency Growth

Why Your Tech Stack Is Your Agency's Backbone

Most marketing agencies are duct-taped together — a CRM here, a reporting tool there, manual Slack updates in between. That works when you have 5 clients. It breaks at 20. And at 50+, you're hiring just to manage the chaos instead of the work.

AI tools change that equation. The right stack lets a small team run large client portfolios without quality dropping. Here's what we run at The Growth Engine across 170+ clients.

The Core Stack (Non-Negotiable)

1. GoHighLevel — CRM, Automation, and Client Portals

GHL is the foundation. Every client gets their own sub-account with automated follow-up sequences, pipeline tracking, and a client-facing dashboard. What used to take a dedicated account manager now runs on workflows.

Key use cases: lead capture forms, SMS + WhatsApp follow-up sequences, appointment booking, automated reporting emails to clients.

2. Meta Ads Manager + Google Ads — The Revenue Engine

Still the best ROI channels for most clients. The difference in 2025 is how much the platforms' own AI handles — Meta Advantage+ and Google Performance Max have gotten genuinely good at audience finding. Your job is now creative strategy and budget allocation, not micro-managing targeting.

3. Slack + Notion — Internal Ops

Notion for everything written: SOPs, client briefs, campaign plans, content calendars. Slack for real-time coordination. The key is having clear channels so nothing important gets buried — we use one Slack channel per active client.

AI Tools That Changed How We Work

4. Claude (Anthropic) — Research, Copy, and Internal Automation

We use Claude for: writing first drafts of ad copy, analyzing competitor positioning, processing large datasets of client performance data, and building internal automation scripts. The Claude API lets us wire it into our own tools.

5. Instantly.ai — Cold Email Outreach

For client lead gen campaigns that include outbound, Instantly handles the sending infrastructure. The AI personalization features let us send at scale without the emails feeling mass-produced.

6. Canva Pro + Adobe Express — Creative Production

Most of our ad creative is produced in Canva. Brand kits per client, template libraries, and the AI background removal + magic resize features have cut creative turnaround from 3 days to same-day for straightforward formats.

Reporting Stack

7. Google Looker Studio — Client Dashboards

Every client gets a live Looker Studio dashboard connected to their Meta Ads, Google Ads, and GA4. Automated weekly email reports pull from the same data. This alone eliminated 90% of the "what are my results" client messages.

8. GA4 + Google Search Console — Organic Performance

For clients with SEO components, GA4 tracks on-site behavior and GSC tracks search visibility. Both connect to Looker Studio dashboards.

What We Don't Use (And Why)

Zapier — replaced with Make (formerly Integromat) for more complex automations at lower cost. Zapier is fine for simple 2-step zaps but gets expensive fast.

HubSpot — great product but expensive for small-to-mid agencies. GHL does 80% of what HubSpot does at 20% of the cost for the clients we serve.

Hootsuite / Buffer — organic social scheduling is done natively on each platform for most clients. The scheduling tools add a layer of complexity for minimal gain.

How to Think About Your Tech Stack

The question isn't "what's the best tool." It's "what's the minimum stack that lets my team do excellent work without manual overhead." Every tool you add is a tool someone has to learn, maintain, and pay for.

Our rule: a new tool only gets added if it eliminates at least 5 hours/week of manual work across the team. Otherwise the setup and maintenance cost isn't worth it.

Start with CRM + ads platform + reporting. Get those running smoothly. Then layer in AI tools where they eliminate specific bottlenecks you've already felt.

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