Automate campaigns across all ad platforms with one AI client
The fragmentation problem in paid media is not complexity — it is switching cost. Every platform is a different UI, different naming convention, different API. An operator that speaks all of them from one interface cuts the switching cost to near zero.
The platform sprawl problem
A mid-size e-commerce brand in 2026 typically runs Google Search, Google Shopping, Meta (Facebook + Instagram), and is testing either TikTok or Pinterest. That is four separate dashboards, four separate reporting formats, four separate vocabularies for what a "campaign" contains.
Cross-platform budget allocation — moving $200 from an underperforming Meta campaign to a Google Shopping campaign — requires logging into two systems, checking current pacing, making the change in each. An obvious decision takes fifteen minutes of platform navigation.
What a unified MCP interface actually does
SpendSignoff connects to multiple ad-platform APIs simultaneously. When you ask "Show me yesterday's ROAS by platform," it queries Google Ads and Meta in parallel, normalizes the metrics (Google calls it "conv_value / cost", Meta calls it "purchase_roas"), and returns one combined response.
When you say "Increase the daily budget for the top-performing campaign across both platforms by 15%," the AI identifies the candidates using the normalized ROAS figures, stages two separate budget-change drafts (one Google Ads, one Meta), and queues them for your review. You approve both from one screen.
V1 platforms: Google Ads and Meta
Setting up multi-platform access
Connect both platforms in the SpendSignoff dashboard — one OAuth flow per platform. Each flow is handled server-side; the connected tokens are KMS-vaulted and never exposed to your AI client.
Once connected, the AI client sees a unified account namespace. "Show me all my accounts" returns Google Ads manager account children and Meta Business Suite ad accounts in one list, each tagged with its platform source.
Cross-platform workflows that become one-liners
- Budget rebalancing — "Move $300 in daily budget from any Meta campaign with ROAS below 1.5 to the Google Shopping campaigns." AI drafts the specific decreases and increases.
- Audience cross-reference — "Which Meta interest audiences have the highest purchase rate? I want to build equivalent custom audiences in Google." Reads Meta, outputs a spec for Google.
- Pause underperformers — "Pause all ad sets or ad groups with CPM above $40 and fewer than 3 purchases in the last 7 days across all platforms." One prompt, multi-platform proposals.
- Morning brief — "Give me a 5-line summary of yesterday: total spend, conversions, ROAS, biggest mover, biggest faller." Returns a single normalized view.
What still requires manual handling
Creative assets — images, videos, ad copy — require you to supply the files or text. SpendSignoff stages the campaign structure and targeting as a draft, but the creative upload happens through the platform's own asset library or via the approval UI.
Platform-specific policy checks (Meta ad review, Google editorial policy) run after the draft is pushed live. The AI can flag known policy-sensitive elements in the copy — certain claim types, branded terms — but the platform makes the final call.
FAQ
- Does SpendSignoff support Google Shopping and Performance Max campaigns?
- Yes. The
list_campaignstool returns all campaign types including Shopping and PMax. Budget and bidding changes are supported. Full asset-group creation for PMax requires supplying the creative assets through the dashboard. - If I approve a cross-platform draft, do both changes go live at the same time?
- Each draft is pushed to its respective platform API individually when you approve. There is a brief propagation window per platform — typically under a minute for budget changes.
Connect an account read-only and watch the operator work.
Reads are free on every plan. Nothing spends without your two-step approval.
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