Ad research that runs itself.

An AI agent that turns one product name into a ranked sheet of proven ad angles for a seven‑figure e‑commerce operation.

50% faster research workflow.

The problem

Research eats the week.

Winning on paid social starts long before the first creative is cut: someone has to trawl competitor pages and ad libraries, guess the right search terms, and judge — ad by ad — what is actually working. Done properly, that is days of skilled work per product, every single time.

For a seven‑figure e‑commerce operation launching and testing constantly, the research desk had become the bottleneck: too slow to feed the testing calendar, and dependent on one person’s judgment of what a winning ad looks like.

The architecture

Product name in. Ranked winners out.

Ad research agent architecture ONE MESSAGE STARTS THE RUN PAIN POINTS · CLAIMS · SEARCH ANGLES CLIENT-ONLY WINNING-AD CRITERIA REQUEST PAGE ANALYSIS KEYWORD GENERATION AD-SPY SWEEP SCORING RANKED SHEET HUMAN REVIEW LOW-CONFIDENCE MATCHES → HUMAN CHECK REVIEWED → RE-ENTERS THE RUN · RETRY ×3 ON EVERY HTTP NODE · NOTHING DROPS SILENTLY

One message starts the run. The agent reads the product’s own pages, extracts pain points and claims, and generates the search terms a senior media buyer would use. It sweeps ad‑intelligence sources for live and recent ads against those terms, then scores every hit with a model built from the operation’s own definition of a winning ad. What lands in the team’s sheet is a ranked shortlist, not a wall of screenshots. Low‑confidence matches route to human review and re‑enter the run once checked — nothing drops silently.

This sheet shows the architecture, not the implementation. Tool names, prompt systems, and the winning-ad scoring criteria ship only to clients.

What shipped

One command replaces the research day.

The delivered system covers the full path from request to ranked sheet: the chat trigger, page analysis, keyword generation, the ad‑intelligence sweep, scoring, and delivery into the spreadsheet the team already works in. Ad research had been a full‑time job here — cutting the workflow in half hands back roughly 80 of a researcher’s ~160 working hours every month. The keyword logic and scoring rules live in files the client’s team edits themselves, no developer required.

50%Faster research workflow
80HRS/MOResearcher hours freed
7FIGOperation scale
What the client owns

All of it.

The workflows, the automations, the accounts the agent runs on — everything is transferred at handover, together with detailed documentation and a video walkthrough of how to use the system. It runs on the client’s own subscriptions; we hold no keys and charge no license. If we disappeared tomorrow, the research keeps running.

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Want research like this on your operation?

Thirty minutes. We look at your research and creative workflow, tell you honestly what's worth automating — and what isn't — and you leave with a map either way.