Hire an AI Meta competitor image ad writer

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A board of competitor ads sorted by type, three per type
• A map of crowded types, repeated claims and open gaps
• Image ad copy for each gap, with one appeal tested per version
• A Meta rules report with a rewrite of any line that fails

How it does the job well

• Write for one named audience and one action. Each asset has a single job.
• Use the customer's own words from reviews, calls or surveys before inventing language.
• Every claim needs proof the business can show. Leave unproven claims out or mark them.
• Judge results against the business goal, such as profit or qualified leads, not clicks alone.

Mistakes it avoids

• Generic copy that could fit any brand.
• Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
• Calling a test winner before there is enough data.

What a good result looks like

An example, not your task: Your category's ads all look and sound the same.

• Swipe file. Competitor ads sorted by type, with three ads from different brands for each type.
• Gaps. The crowded types, repeated claims and open questions nobody answers, with a brief for your version of each.
• Image ad copy. A headline and text for each gap, with one appeal tested in each version.
• Meta check. A verdict and score, the rules each line breaks, and a rewrite of any line that would fail.
• HAND-BACK SUMMARY. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

A second opinion

Before it hands back, your AI reviews the draft the way Eugene Schwartz and Jack Trout would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Builds the swipe file. Uses the swipe file skill to merge duplicates, file each ad under one type and keep three per type from different brands.
• Finds the gaps. Uses the gap finder skill to count brands per type, spot repeated claims and brief your version of each gap.
• Writes the image ad copy. Uses the image ad copy skill to write headline and text for each gap, opening by the ad type.
• Checks Meta rules. Uses the Meta rules checker to judge each ad against the rule groups that apply and rewrite what fails.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id competitor-gap-image-ads only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/competitor-gap-image-ads/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• Competitor ads you saved from the public Ad Library, with library ID, brand, start date and screenshot
• Who the ads are for (new to you, warm or ready to buy) and your country
• Your brand file (optional)
• The competitors that matter to you (optional)
• Your customer reviews (optional)

Tools and access

• Meta Ad Library: The public source for every active ad, with its library ID and start date, browsed by hand.
• Google Sheets: Keeps the board and its library IDs, so reruns only add new ads.
• Any good chat AI: Filing ads from screenshots works in any strong chat AI that reads images.
• Meta Ad Library: The public source for competitor ads, with library IDs and start dates, browsed by hand.
• Claude: Holds dozens of ad cards and your claims rules in one long chat.
• Google Sheets: Counts types per advertiser, so crowded and open cells are easy to check.
• Any good chat AI: Writing to field limits from your proof works well in any strong chat AI.
• Meta Ads Manager: Its ad preview shows where the main text and headline get cut off on each placement.
• Any good chat AI: Claude, ChatGPT and Gemini all read the rule table well; what matters is pasting the ad exactly as it will run.
• Meta Ads Manager: Its rejection notice and Business Support Home give the reason for each rejected ad, so you can test the skill against real decisions.

Functions and deliverables

• Meta competitor image ad writer: Study competitor ads and map useful gaps. Write image ad copy from your proof, then check it against Meta ad rules.
  • A board of competitor ads sorted by type, three per type
  • A map of crowded types, repeated claims and open gaps
  • Image ad copy for each gap, with one appeal tested per version
  • A Meta rules report with a rewrite of any line that fails
• Competitor ad swipe file builder: Build a competitor ad swipe file from Meta Ad Library ads. Get them sorted into 9 types, with three examples each and what to study.
  • A board table with type, advertiser, library ID, start date, tier and what to study
  • A one-line pattern note for each buyer question
  • A list of thin types and ads it couldn't look at
  • Any of its own checks the board still misses, each one named
• Competitor ad opportunity finder: Share competitor ads. Find messages and formats they overlook, with briefs for ads you could test.
  • A short summary and the top three gaps
  • A map of the category by ad type, crowded, thin or open
  • A card for every ad studied, and the claims everyone repeats
  • Briefs for each gap, with the proof each rests on and what to avoid
  • A score out of 100 for how many of its own checks the study passes, with each miss named
• Image ad copy writer: Get every word your image ad needs, on the picture and around it, in two or three versions that each test a different appeal.
  • For each version, the headline and support line on the image, main text, headline under the image, description and button, with counts
  • A note naming the ad type, what the buyer knows and the appeal each version tests
  • A story for the main text, if you asked for one
• Meta ad policy checker: Share ad copy, images or a script. Get possible policy issues, a custom score and changes to review.
  • A verdict (ready to run, fix first, or likely rejected) and the main reason
  • A compliance score out of 100, now and after the fixes, with the sum shown
  • A table of findings with the rule group, the exact spot, the problem and the fix
  • Settings to change outside the ad, such as age targeting
  • Your ad rewritten with every fix in, changed lines marked
  • What passed, and what it couldn't check without more information
• Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
  • A folder of eight plain files, from a start file for your AI to a claims list and a change log
  • A tag on every fact, and every claim marked approved, pending or banned
  • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
  • A short slice for your next step, if you name one
• Eugene Schwartz: Match a headline or sales page to what buyers already want and know. Apply Eugene Schwartz’s recorded approach to research, claims and proof.
  • Your problem worked on the way Eugene Schwartz would: their questions, their method, their push-back
  • The answer or the work, in Eugene Schwartz's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step
• Jack Trout: Sharpen a brand’s place against rivals through Jack Trout’s recorded approach. Pick one clear idea, check the proof and avoid a blurred message.
  • Your problem worked on the way Jack Trout would: their questions, their method, their push-back
  • The answer or the work, in Jack Trout's voice, using their ideas by name
  • Anything that goes beyond their public record, marked
  • One suggested next step

Tasks you can use it for

• Your category's ads all look and sound the same.
• You want image ads that say something the others do not.
• You have been rejected on Meta before and want a check before you launch.

Limits to check before starting

• You have no saved competitor ads yet: start with the Competitor ad swipe file builder, then come back.
• You only want the gaps and no copy: use the Competitor ad opportunity finder on its own.
• You have no proof for your claims: the copy step marks each missing line, so gather your proof first or ask a person on your team.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Have your inputs ready. It works step by step and saves each result.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/competitor-gap-image-ads for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.