How often should I run competitor ad research?

A weekly cadence works well for most teams. It is frequent enough to catch new angles and retired creatives, but small enough to review without it becoming a chore.

How many competitors should I track?

Keep the watchlist to five to ten brands. A small list stays reviewable each week and forces you to focus on the competitors that actually move your market.

Can AI summarise what changed between research runs?

Yes. Because the data lands in your chat, you can ask the model what changed since last time, such as new angles, new formats, or retired creatives, and the deltas become your insight.

Building a repeatable ad research workflow with AI

One-off competitor checks are useful. A repeatable workflow is a competitive advantage. Here's a routine you can run in minutes.

1. Define the watchlist

Pick five to ten competitors. Keep the list small enough to review weekly.

2. Pull the full cross-platform set

For each brand, ask your assistant for their Meta, Google, and LinkedIn ads. Proxy fetches all three so you get a complete picture per brand.

3. Summarise the deltas

Ask the model what changed since last time: new angles, new formats, retired creatives. The deltas are where the insight lives.

4. Transcribe the standouts

For any video ad worth studying, transcribe it to extract the hook and script. Patterns across competitors emerge fast.

5. Capture and share

Drop the summary into your team's doc. Because it all happens in chat, the output is already written up. No separate report step.

Run this weekly and you'll know your market's messaging better than your competitors know it themselves.