Generate and pre-test Meta ad copy with real audience feedback

Creates 50 Meta ad variations, scores them with simulated audience feedback, and ranks the best 10.

How the work actually flows

A straight line. Runs once per each ad copy variation.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("you submit product details")):::human s0["gather audience insights"]:::svc s1[["generate ad variations"]]:::mi s2[["score against simulated feedback"]]:::mi s3[("rank top 10 into sheet")]:::store trig --> s0 s0 -->|"one per each ad copy variation"| s1 s1 --> s2 s2 --> s3 out[/"top 10 ranked ad variations"/]:::out pay{{"stronger ads before spending budget"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
An outside serviceRuns once per itemA personA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsImage & Media ProcessingSpreadsheet & Database OpsSurvey & Feedback
Connects
OpenAIGoogle Sheets

The problem it solves

Writing ad copy is guesswork until you actually spend money to see what lands. You end up testing weak variations live, burning ad budget on lines that never had a real chance of resonating.

Who it fits

Marketing teams or business owners who run Meta ads and want stronger copy before they spend.

How it works

  1. You submit your product details and target audience description
  2. AI gathers audience insights to understand what this group responds to
  3. Fifty ad copy variations are generated using those insights
  4. Each variation is scored against simulated audience feedback
  5. The top 10 ranked ads land in a Google Sheet with their scores
What you get

Ad copy variations ranked before you spend on ads

You get fifty fresh ad variations tested and ranked, so you can launch with the strongest copy already picked out.

What you get

A Google Sheet of your best 10 ad copy variations, ranked with feedback scores.

What you need

An OpenAI API key and a Google Sheets account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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