B2B AdsadvancedPro

Analyze Meta ad creatives with an AI scoring agent

Collect competitor Meta ads, score their visuals and messaging patterns with AI vision, then turn the findings into a prioritized creative testing backlog.

What you will have

Build a competitor creative scorecard, pattern library, and next-test backlog based on visual and messaging signals from active Meta ads.

Setup time

4-6 hours

Time saved

6-10 hours per competitor creative review

Estimated cost

$100 to $600 per month

Tools used

6 tools

Why this works

Competitor ad reviews often stop at copy-paste swipe files. This workflow turns raw creative examples into a scoring system: hook, visual pattern, proof type, offer, CTA, and differentiation gap. The result is a more disciplined testing roadmap instead of another folder of screenshots nobody uses.

Step-by-step workflow

Preview the workflow

The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.

Collect active competitor ad examples

1-2 hours

Use Meta Ad Library and Foreplay to collect 50-100 active ads from direct competitors, adjacent competitors, and aspirational B2B brands. Save creative URL, brand, format, copy, offer, landing page URL, and screenshot or video file when available. Keep the set focused on one campaign goal such as demos, event registrations, or report downloads.

Output

A structured competitor ad library ready for AI scoring.

Meta Ad LibraryForeplayGoogle Sheets

Pro tip

Include ads from adjacent categories because they often reveal creative patterns your direct competitors have not copied yet.

Define the scoring rubric before analysis

30 min

Create a creative scoring rubric with categories for hook clarity, visual distinctiveness, proof strength, offer specificity, CTA match, audience relevance, and category sameness. Add a 1-5 score for each category and a notes field. The rubric prevents the AI from producing vague creative opinions.

Output

A consistent scoring rubric for every competitor ad asset.

Google Sheets

Pro tip

Add a category called sameness. Many ads are technically fine but invisible because they look exactly like every other ad in the category.

Pro workflow preview

Previewing 2 of 7 steps

Pro membership

Unlock the full workflow

Get the remaining 5 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and weekly new workflows.

$9/month

Run AI vision scoring on each ad

Cluster patterns and gaps

Create a prioritized test backlog

Mock up new creative directions

Review test readiness and measurement plan

See Pro plan

3Run AI vision scoring on each ad

Locked

4Cluster patterns and gaps

Locked

5Create a prioritized test backlog

Locked

6Mock up new creative directions

Locked

7Review test readiness and measurement plan

Locked

Expected results

Ads analyzed

50-100 competitor ads

This range gives enough pattern coverage for one category without turning the review into a huge research project.

Backlog produced

10-15 creative tests

A focused backlog gives paid media teams a practical next sprint instead of a long list of abstract observations.

Research consistency

Scored rubric

A structured rubric makes analysis repeatable across competitors, formats, and future review cycles.

Decision quality

Hypothesis-led tests

Every recommended creative direction ties back to a gap, pattern, or overused claim found in the ad set.

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