An AI Agent for Marketing: Chat With Your Ad Accounts in Slack

We just launched a Slack bot that chats with a client’s three ad accounts — two Google, one Meta. They ask questions in plain English, it answers from the live data.

That’s the whole thing. No dashboard login. No spreadsheet export. No waiting for Monday’s report. Just a question in Slack and an answer that comes back with the actual numbers.

If you’re running ads at real volume — say $100/day or more — and you find yourself avoiding the platforms because pulling the data is a chore, this is what AI agents for business actually look like in practice.

A Day in the Life

It’s Thursday morning. You want to know how last week performed compared to the month before. The old way: log into Google Ads, pull a date-range comparison for account one, do it again for account two, log into Meta, do it there, copy everything into a spreadsheet, do the math yourself. Twenty minutes if you’re fast, longer if the platforms are slow or you get distracted by something else you notice in the interface.

The new way: you type “how did last week’s leads compare to the month before?” into Slack. The bot pulls from all three accounts simultaneously — both Google accounts, the Meta account — and comes back with the answer. Cost per lead week-over-week. Volume. Which account moved and which held steady. You have what you need in thirty seconds without opening a single browser tab.

That’s not a hypothetical. That’s what this client does now.

The bot isn’t limited to that question. They can ask about any time window, any campaign, any metric the account tracks. “What’s my best-performing keyword this month?” “How is the Meta campaign trending compared to two weeks ago?” “What did I spend yesterday?” The agent has read access to everything — so if the data exists in the account, you can ask about it.

The Monday Report That Writes Itself

The Slack bot is one build. Here’s another that went live around the same time: an automated Monday reporting agent.

Every Monday morning, this bot reads the account data itself, writes the weekly performance email, and sends it to the client — no human in the loop. The email covers which keywords are working, what the cost trends look like, and whether anything needs attention. It reads like a human wrote it because the prompting is built around a specific voice and framing, not a generic template.

For agencies, the implication is obvious: a report that used to take 45 minutes per client now takes zero. For business owners who manage their own ads, it means you have a standing pulse on your account without ever thinking about it.

These two builds — the conversational Slack agent and the Monday reporting bot — are the clearest examples I have of what custom AI agents do when they’re scoped correctly. Not a generic AI assistant bolted onto a dashboard. A focused agent that knows exactly what data it has access to, what questions it’s supposed to answer, and how to surface information in a way that’s actually useful.

Marketing Data, Finally Conversational

The reason this matters is that most ad account data is stranded. It exists — Google and Meta track almost everything — but getting to it requires knowing where to look, knowing how to build the report, and actually sitting down to do it. Most business owners don’t do that consistently. They run ads, they check performance occasionally, and they mostly rely on whether the phone is ringing.

The problem with that approach is that you can’t optimize what you don’t look at. And you can’t look at it if looking at it is a twenty-minute task that requires switching contexts and logging into two platforms.

Conversational access to the data collapses that friction. When asking a question takes thirty seconds, you ask more questions. When you ask more questions, you notice things — a campaign that’s quietly dying, a keyword that’s suddenly working, a week where lead volume dropped and you can actually trace why. That’s what how to tell if your ads are working looks like when you have the right tools.

Read-Only by Design — Your Account Is Safe

One question I always get: “Can the AI mess with my account?”

No. These agents are read-only by design. The bot can query your data — costs, conversions, keywords, campaigns, whatever you ask — but it cannot change a budget, pause a campaign, edit an ad, or touch any account setting. There’s no write access. There’s no path to write access.

This isn’t an accident or a limitation we’re working around. It’s the correct architecture for the problem. The value here is surfacing information, not taking action. And for businesses that have built something real with their ad accounts, protecting that account is non-negotiable. A chatbot that can answer your questions and can’t get your account banned is strictly better than one that could do both.

If you want a bot that can make changes — pause underperformers automatically, adjust bids based on rules — that’s a different, more complex build that requires careful scoping and a conversation about what guardrails make sense for your specific setup. But the read-only version is what most people actually need, and it’s where I’d start anyone.

Who This Is For

Businesses spending $100/day or more on Google or Meta ads, mostly lead gen. You have enough data flowing through the account that it’s worth querying — but not a full agency team whose job it is to live in the platforms.

You want a pulse on your ads data. You don’t want to learn to dig through the interfaces yourself, and you don’t want to pay someone $2,000/month to do it for you. You want to be able to ask a question and get an answer.

This is also relevant for lean agencies that want to scale how many accounts they can manage without scaling headcount at the same rate. The Monday reporting bot alone is worth real time savings if you’re running reports for multiple clients.

What this is not for: customer-service chatbots, general coding work, anything outside the ads and marketing data lane. That’s not what I build and I’ll tell you that upfront rather than waste your time.


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