A practical guide for PPC professionals who want automation power without giving up control or client data security.
This is a guest post by Ali Mehdi Mukadam.
I’ve been wrestling with how to write about AI for PPC professionals in a way that actually moves the needle. After countless conversations in our weekly PPCChat discussions, I’ve realized we sit on a spectrum. Like most things today, we don’t need to choose one side or the other. The win is the middle ground.
The AI Divide in Our Industry
Spend five minutes in any #PPCChat thread about AI and you’ll see the split in real time.
- One camp tried ChatGPT 3.5 in early 2023, asked it to write ad copy, got generic garbage, and wrote off the whole category. Fair enough. Early versions were underwhelming for our work.
- The other extreme pastes entire strategies, conversion data, and client metrics into public AI tools, trusting whatever comes back. From a data-privacy standpoint, that’s a hard no.
Most of us sit in the middle. We see the potential, but we care about confidentiality, reliability, and keeping strategic control. We’ve been burned by platform “recommendations” too many times to trust another black box. Across hundreds of conversations this past year, I keep hearing the same core challenge: we want intelligent automation, without sacrificing data security or oversight.
What if there’s a way to use LLMs that never requires sharing client data, gives you full transparency into every decision, and lets you build tools for your exact workflow?
Why Your Skepticism Is Actually Smart Business
The hesitation around AI in PPC stems from legitimate, high-stakes risks:
Client Data Privacy: The thought of sharing sensitive confidential information with a public AI tool should make any professional uncomfortable. Client trust forms the foundation of our business.
AI Hallucinations: LLMs can sound brilliant and still be wrong. In live accounts with meaningful spend, confident mistakes are expensive.
Platform Black Boxes: We’ve all seen pushes to broad match or Performance Max with little visibility into logic. Handing over strategic control blindly is not a plan.
There’s a third path: use AI to augment your intelligence, not replace it.
My Breakthrough: 200 Dental Clients and a Budget Nightmare
I’ve always been fascinated by marketing automation. Even before ChatGPT, I was fascinated with building systems for optimization at scale, Target CPA and GDN’s pay per conversion felt like magic. The real unlock came while running white-label services for a partner agency managing roughly 200 dental practices across North America. Each account had a different billing cycle. One renewed on the 10th. Another on the 15th. Another on the 22nd. No neat monthly allocations, and no proration during onboarding. Then advertiser verification rolled out across accounts.
Campaigns stalled if verification wasn’t complete. Google gave notice, but some clients didn’t send documents. Meanwhile, the partner’s billing for ad spend was on autopilot.
It was chaos. My team tracked cycles manually, worried about overshooting budgets or leaving money on the table. Hundreds of moving parts. Real money at risk.
That’s when I turned to GPT-4 – not to write ad copy, but to write a Google Ads Script. The script pulled spend-pacing data into Google Sheets, updated daily, and fed a Looker Studio dashboard. It showed which clients were on pace, which were in danger of overspending, and where we needed adjustments to smooth the rest of each billing cycle.
We layered velocity checks that compared projected spend against the last 3- and 7-day averages. Email alerts hit our inbox every morning.
Did it take a week or two to get right? Yes. Did I smack the keyboard because GPT-4 hallucinated? Also yes. This was late 2023. But once it clicked, it felt like building a custom SaaS.
Key point: I never pasted client data into ChatGPT. The AI generated logic from plain-English instructions. Sensitive data stayed inside Google Ads.
That’s when it hit me. AI isn’t just for copy. It can turn anyone into a “script developer” without a computer science degree. This was in late 2023 much earlier than ‘Vibe Coding’ and ‘Vibe Marketing’ became a trend.
The Matrix Decoded
If you’ve clicked into Google Ads Scripts under Tools & Settings, you may have bounced after seeing something like:
function main() {
var keywords = AdsApp.keywords()
.withCondition("QualityScore < 3")
.get();
while (keywords.hasNext()) {
var keyword = keywords.next();
keyword.pause();
Logger.log("Paused keyword: " + keyword.getText());
}
}
For strategic PPC pros, that wall of code is where many stop. It created a divide between people who speak machine and people who speak strategy. LLMs remove that divide. Think of an LLM as a translator that speaks machine. You provide strategic intent in plain English. It outputs the syntax Google Ads Scripts understand. You stay the pilot. The model doesn’t know your client, market dynamics, or goals. You set the strategy. It writes the code.
Google Ads Scripts & LLMs – Superpowers Unlocked
Let’s reintroduce the hero: Google Ads Scripts. You may associate them with highly technical colleagues or pricey dev time. Time to reframe. Scripts as Your 24/7 Assistant
Forget “JavaScript.” Treat a script like a tireless assistant you’ve trained precisely. Give instructions—“Every morning at 6 a.m., check all active ad URLs. If any are 404s, pause the ad and email me the list.” The assistant executes. Every time.
Scripts live inside your Google Ads account:
Tools & Settings → Bulk Actions → Scripts
They can read data, take actions, and interact with Google Sheets or third-party APIs.
The Power You’ve Been Missing
Scripts solve the most painful, high-stakes problems in PPC management:
Budget Nightmares:
Remember the end-of-month scramble, manually checking dozens of accounts to ensure you haven’t overspent or are on track to woefully underspend? A script monitors every account’s budget pacing hourly/daily and alerts you before you hit the cap or might not, preventing those awkward client conversations.
Silent Campaign Killers:
A client’s developer pushes a Friday afternoon site update. A key landing page goes down. Without monitoring, you discover this Monday morning after wasting thousands in ad spend. A link-checking script catches this within an hour of the break.
Performance Blind Spots:
You get that dreaded client email: “Why did conversions drop 60% yesterday afternoon?” An anomaly detection script spots these issues in real-time, comparing performance to historical averages and alerting you before the client notices.
Building Your Custom Alert System: Beyond Google’s Generic Recommendations
The goal isn’t automation for its own sake. It’s an alert and monitoring system that thinks like you. Google’s recommendations can be generic. Your alerts can be precise.
Start simple. Pick one repetitive task that eats up your time every week. Maybe it’s checking budget pacing across multiple accounts, or monitoring conversion tracking health, or scanning for broken landing page URLs. These are perfect candidates for your first scripts.
You can customize & control everything – how often scripts run (hourly, daily, weekly), what triggers alerts, who gets notified, and what data gets logged. Create your own recommendation engine that understands your campaign strategy and client objectives.
This approach puts you back in control while leveraging AI as a powerful tool rather than a decision-making replacement.
A Privacy-Safe, 5-Step Workflow
Here’s exactly how I build every script, designed for maximum safety and transparency:
Step 1: Craft the Perfect Prompt
Be specific about your goals and logic.
My template:
“Write a Google Ads script that checks if monthly cost exceeds $9,500. If true, send an email to ‘your.email@agency.com’ with the spend amount in the subject line. Include heavy commenting and error handling.”
Step 2: Copy & Paste Into Google Ads
Navigate to Tools & Settings > Bulk Actions > Scripts, click the + icon, and paste your AI-generated code.
Step 3: Authorize (One-Time Security Step)
Google requires authorization for each new script—a security measure granting permission to read data and make changes on your behalf.
Step 4: Preview Mode – Your Safety Net
This is critical. Click Preview before running anything. This simulates execution without making real changes, showing you exactly what would happen in the log.
Step 5: Run & Schedule
After reviewing the preview, click “Run” for immediate execution or set a frequency for automatic scheduling.
Overcoming the Usual Pushback
“I don’t trust AI with my data.”
Good instinct. Don’t give AI access to your data. Use AI to write logic that processes your data locally within Google Ads.
“I’m not technical enough.”
Preview mode makes it safe. Start with notification-only scripts that don’t make campaign changes.
“What if it breaks something?”
Preview shows exactly what would happen before making changes. Proper error handling prevents surprises.
“I don’t have time to learn this.”
Each script takes 20-30 minutes to implement. One weekend of setup saves hours every week forever.
From Campaign Manager to Solutions Architect
Once you adopt this workflow, your role shifts. You’re not only managing campaigns; you’re designing systems that protect spend, surface insights, and scale your judgment. Instead of relying on Google’s generic nudges, you build an alert layer tuned to your clients. Every seasoned pro has a way of working. Now your tools can match it.
The Competitive Advantage: Why This Matters Now
- Customization – Built for your needs, not generic use cases.
- Agility – New automations in minutes, not months.
- Cost efficiency – No monthly SaaS fees or per-account charges.
- Client differentiation – Capabilities competitors can’t match without similar skill.
- Future-proofing – As AI improves, your script library improves with it.
Your Next Move: Build Your First Script Today
Don’t aim for perfection on day one. Here’s a complete, working script you can implement this week or in the next 30 mins – a daily budget and performance monitoring system that emails you a summary every morning.
Copy this exact prompt into ChatGPT, Claude, or your preferred LLM:
Act as an expert Google Ads Scripts developer. Write a script that runs daily at 8 AM and sends me an email summary with:
- Yesterday’s total cost across all campaigns
- Yesterday’s total conversions
- Current month-to-date spend
- A list of any campaigns that spent more than $500 yesterday
- A list of any campaigns with zero conversions yesterday that normally convert
Email should go to: [YOUR EMAIL HERE]
Subject line should be: “Daily PPC Summary – [Account Name] – [Yesterday’s Date]”
Include heavy commenting so I understand each step, add error handling, and use Logger.log statements so I can see what’s happening in the script logs.
Implementation steps:
- Get your script: Copy the AI-generated code
- Navigate to Google Ads: Tools & Settings > Bulk Actions > Scripts
- Create new script: Click the + icon, give it a name like “Daily Summary Email”
- Paste and customize: Replace [YOUR EMAIL HERE] with your actual email
- Authorize: Click “Authorize” when prompted (one-time security step)
- Preview first: Always click “Preview” to see what would happen without actually running
- Schedule it: Set frequency to “Daily” and time to “8:00 AM”
What you’ll get:
Every morning at 8 AM, you’ll receive an email with yesterday’s performance snapshot. No more logging into accounts just to check if everything’s running normally.
Safety notes:
This script only reads data and sends emails – it makes no changes to your campaigns. The Preview function shows you exactly what email would be sent before you commit to running it.
Start here. Watch it work. Then ask yourself: what other repetitive PPC task do I hate doing manually? Build that next. The PPC professionals who master this workflow won’t be limited by the platform. They’ll define the guardrails and the alerts. They’ll keep strategy in human hands while execution scales.
The future of PPC management isn’t about choosing between human expertise and AI capability – it’s about combining them into something more powerful than either could achieve alone.
And the only code you need to know is prompting, copy and paste.
(No PII or sensitive info)
About the Author
Ali Mehdi Mukadam is a growth and performance marketer with over 13 years of hands-on experience in digital advertising. He started his career in ad:tech at Affinity Global inc., managing campaigns for 300+ advertisers across industries, and later went on to lead paid-media and growth teams for startups and established brands alike.
Over the years, Ali has built and scaled marketing systems that drive measurable revenue specializing in Paid Media, PPC, Google Ads, Automation and AI-assisted strategy. He now helps growth focused startups and companies audit their paid media, optimize spend, and design data-driven marketing operations that move the needle.
Based in Toronto, Ali is an active member of the #PPCChat community on Slack. You can also find him on LinkedIn and X.