Revealbot

What it does

Revealbot is now called Bïrch, and its site lives at bir.ch. It is an ad automation tool. You connect your ad accounts on Meta, Google Ads, TikTok and Snapchat, and then you write rules: if a metric crosses a limit, pause the ad, change the budget or send an alert. Rules are checked as often as every 15 minutes.

Around the rules sit Stage, which creates ads from media in Google Drive by duplicating your setups, Explorer, which tracks performance and spots creative fatigue, and Hub for server-side tracking on Meta. An AI layer turns a plain sentence into a rule you can review before it goes live.

Why you would need it

Paid social needs constant attention. A campaign that works on Monday overspends on Thursday. An ad that tires out keeps eating budget until somebody notices. Checking accounts by hand, often at night or in the weekend, is what burns out a media buyer.

You feel the pain when the account count grows or the spend gets large enough that one missed day costs real money. Rules do the watching for you and apply the same logic across accounts.

Where it fits

Bïrch sits on top of your ad platforms. It reads performance, applies rules and writes changes back through each platform. It talks to Slack for alerts and reports, and uses Google Analytics, Google Sheets and attribution tools such as AppsFlyer, Adjust, Hyros and Wicked Reports as data sources for conditions.

It replaces manual bid and budget checks and the spreadsheet where people kept their rules. It sits beside your reporting and attribution tools, not in place of them.

What stands out

• Rules with nested conditions, custom metrics and more than 20 actions, applied across several accounts.
• Bïrch AI, which builds a rule from a plain-language request.
• Explorer for creative fatigue and top assets, and Stage for bulk ad creation from Google Drive.
• An official hosted MCP server, so Claude or ChatGPT can audit your rules and read execution logs.

My take

The rules engine is the product. If your ad decisions follow clear logic, such as pause above a cost limit or scale below it, then writing that logic down once and letting it run is a real saving of time.

What I would watch is the quality of the rules. Automation scales your mistakes as fast as your wins. A badly written rule can pause good ads or spend budget on weak ones, and old rules pile up. Start with alerts, then actions, and review the execution log regularly.

Verdict

Pick Bïrch if you run enough paid social spend across one or more platforms that rule checking costs hours each week, and you can write clear rules. Skip it if you spend little, run a single small account or want a tool that decides strategy for you. Madgicx and Optmyzr are the usual alternatives to compare.