AI ad management: running five ad platforms from a single chat
The difference between tools that report and tools that act, why moving budget is one sentence, and how the approval gate keeps it safe.
Đội Tecrube
Tự động hóa marketing
Marketing tools come in two kinds: those that show and those that do
Most of the tools an ad team uses collect your data, drop it into a table and leave it there. You can see the spend, you can see the falling click-through rate, yet to pause a campaign you still open five separate ad dashboards. That gap between showing and doing is why most accounts react days too late.
AI ad management closes the gap. The assistant does not just say “CPA went up on Meta”; it finds the ad set responsible, suggests where the budget should go and, once you approve, applies the change. The report and the action stay in the same conversation.
Five ad networks from one chat
Tecrube is a single MCP connector you add to Claude or ChatGPT. It brings Google Ads, Meta Ads, Microsoft Advertising, TikTok Ads and LinkedIn Ads into the same conversation, alongside Google data sources such as Tag Manager, GA4, Search Console, YouTube and Business Profile.
In practice it means you ask “which platform saw the biggest rise in cost per conversion this week?” once, instead of lining up five screenshots. The same connection works in developer tools like Claude Code and Cursor, because the connector address is identical everywhere.
What a budget shift looks like
Say a shoe store's TikTok campaign has brought no conversions for four days while its Google Search campaign keeps hitting its budget cap. You tell the assistant: “move half of TikTok's daily budget to Google Search”.
Tecrube first produces a preview: which account, which campaign, current value, new value. You approve; the change is applied and written to the audit log. If you back out at the preview stage, nothing changes. The flow is the same no matter how many platforms are connected.
But is it safe to trust AI with the budget?
This is the concern we hear most, and the answer lies in the fact that the assistant cannot write anything on its own. Every write goes through an approval gate on the server. Single-step budget increases above fifty percent are rejected, and even an “always allow this tool” setting on the Claude side does not bypass the gate, because it lives on the Tecrube server rather than in the client.
Reads, on the other hand, are free and spend no credits. Looking at reports, auditing the account or listing search terms needs no approval. Writes always follow preview → approve → apply.
The dashboard: a control centre, not a report
The member panel at /app keeps a record of everything you did in chat and shows live metrics for the connected accounts on one screen. Spend, clicks, conversions and CPA sit side by side per platform; if you paused a campaign in chat, the panel reflects it immediately.
Looking at the panel never spends a credit. Credits go only to actions requested in chat: reports and audits are light, live changes cost a little more.
How to start
A free account comes with 75 credits that never expire and no card is required. You add the connector to Claude or ChatGPT, link your Google or Meta account with OAuth and ask your first question. Pro is $49 a month for a single business, Agency is $99 a month for multi-client teams and Enterprise starts at $299.
No coding is needed. The only skill required is being able to say, in one sentence, what you want from your ads.
Which questions to ask in the first week
The first week on a newly connected account is for getting to know it, not for changing it. We suggest three questions: “what are spend, conversions and cost per conversion on each platform for the last 30 days?”, “which campaigns hit their budget cap and which never spend it?” and “which of my conversion actions received no data in the last two weeks?” All three are reads; they spend no credits and need no approval.
The answers show which platform actually brings business and which only consumes budget. You might see a small but steady flow of conversions on Microsoft Advertising and plenty of clicks but zero sales on TikTok. From week two you start applying budget shifts, negatives and creative refreshes through previews based on that picture.
Keeping this order prevents the most common mistake in AI ad management: asking for changes before understanding the data. However fast the assistant is, asking the right question is still your job.