Hi!
I ve been exploring Airtop and I see huge potential for task automation using AI agents especially for repetitive workflows like form filling or actions in systems without an API.
One thing I noticed is that each time the agent performs the same action (like registering multiple people), it reprocesses the task from scratch, consuming credits for each new step, even though the logic is exactly the same.
My suggestion:
Airtop
Running Google Ads is difficult. The interface is confusing, proper optimization requires special expertise, and it is very easy to waste thousands of dollars on campaigns that result in junk clicks instead of real conversions. Unless you’re a PPC expert, the cards are stacked against you.
We wanted to make Google Ads less frustrating for small teams and solo marketers. So we built native Google Ads automation directly into Airtop. Connect your Google Ads account, and Airtop will:
👉Research keywords
👉Build themed campaigns based on best practices
👉Audit and optimize spend
👉Create automatic scheduled reports
👉Send updates directly to Slack, email, and more
Airtop works like a PPC consultant would. It understands context, connects to your CRM, and makes changes directly in Google Ads once you approve them. Any change that can affect spend requires your explicit approval first.
We’ve been running Google Ads with Airtop since May, and it’s suggested many optimizations that we otherwise would have missed. We also don’t have to spend hours buried in the Google Ads interface anymore. We’re excited to share this tool with you!
You can try Airtop’s Google Ads integration out here: airtop.ai/google-ads.
Use promo code GAPH29 for a free month of Airtop’s Starter plan.
We’re here all day. Ask us anything!
@amir_ashkenazi I've hired agencies for exactly this and the reporting layer is where trust usually breaks, since the numbers never match what I see in the platform. When Airtop moves budget on its own, how much visibility do I get into why, not just that it happened? Wondering whether an operator can actually audit those decisions.
Late to this one but the auth part is the decision I keep thinking about. Most web agents stop at the public web, and the useful data is almost always behind a login. Question from the content side: when a site changes its layout, does the agent work it out again by itself, or does the instruction need a rewrite? Our scrapers break every few weeks and that is the real cost, not the setup.