Hire an AI ad-to-page match and policy reviewer

Everything it can hand back

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

• A score for the ad out of 100, ranked fixes and two stronger headlines
• The awareness stage of the ad, with a score and the fixes
• Landing page copy whose first screen repeats the ad's promise, and a list of facts still missing
• A rules check on the ad and page together, and the ad rewritten so it passes

How it does the job well

• Start from the user's task and the content, then the layout. Decoration comes last.
• Design every state: empty, loading, error, long text and mobile.
• Keep one visual system. Reuse spacing, type and colour tokens instead of one-off values.
• Check text contrast (at least 4.5:1 for body text) and keyboard focus as you go.

Mistakes it avoids

• Designing only the happy path at desktop width.
• Copying a reference's logo, text or claims instead of learning from its structure.
• Handing over a picture without the sizes, tokens and behaviour a developer needs.

What a good result looks like

An example, not your task: Your image ad gets clicks, but few of those visitors buy from the page.

• Static ad critic. A score out of 100, the path the eye follows, ranked fixes, two stronger headlines and fixed ad copy.
• Ad awareness stage checker. How much the buyer knows at the start, where picture and words clash, a score and rewrites.
• Ad-matched landing page writer. A page brief, a first screen that repeats the ad's promise, buyer doubts with answers and a cost block.
• Meta ads compliance checker. A verdict, a score out of 100, findings with fixes and a rewritten ad that passes.
• 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 Joseph Sugarman would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Static ad critic. Scores your ad across nine checks, traces what the eye sees first, and writes two stronger headlines. Its fixed ad copy feeds every later step.
• Ad awareness stage checker. Reads the fixed ad and names how much the buyer already knows when it starts. It flags where the picture and the words disagree.
• Ad-matched landing page writer. Writes a page whose first screen picks up the ad's promise, then answers each buyer doubt in its own section and states the full cost.
• Meta ads compliance checker. Checks the final ad and page against Meta's ad rules and rewrites the ad so it passes.

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 turn-a-static-ad-into-a-sale-with-a-matching-page 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/turn-a-static-ad-into-a-sale-with-a-matching-page/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

• Your image ad, attached as a file
• The headline and primary text that go with it
• Your offer, price and what you sell
• Your brand file, if you have one (optional)

Tools and access

• Any good chat AI: Any current chat AI that reads images can run the checks. Attach the ad as a file.
• Meta Ads Manager: Where you test the two headlines side by side.
• Any good chat AI: Any current chat AI that reads images and video can do this. Attach the file itself.
• Meta Ads Library: It lets you see competitor ads and judge their stage the same way.
• Any good chat AI: This is a writing job from facts you supply, and the main chat AIs all handle it well.
• 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

• Ad-to-page match and policy reviewer: Share the finished ad, product facts and offer. Get ad feedback, a matching landing-page draft and a joint Meta policy review.
  • A score for the ad out of 100, ranked fixes and two stronger headlines
  • The awareness stage of the ad, with a score and the fixes
  • Landing page copy whose first screen repeats the ad's promise, and a list of facts still missing
  • A rules check on the ad and page together, and the ad rewritten so it passes
• Image ad reviewer: Check your static ad before you spend. Attach the image, headline and primary text. You get a score out of 100, ranked fixes and two rewritten headlines.
  • A score out of 100 across nine checks, now and after the fixes, with the sum shown
  • A clarity-or-curiosity verdict, with the middle zone flagged
  • The eye path: what is seen first, second and third
  • A ranked list of fixes, a note on the page match and two rewritten headlines, one clear and one curiosity-led
• Ad awareness stage reviewer: Check your ad's awareness stage. Attach the ad and get a score out of 100, the clashes between image and copy, and rewrites to fix them.
  • The stage of each ad, with the evidence
  • Mismatches between image, copy and video
  • A score out of 100, with each part shown, and rewrites
  • A mix check against the target split, if you gave your other ads
• Ad-matched landing page writer: Write landing page copy that picks up where your ad left off. Give it the ad, your facts and reviews. You get a page with the full cost stated.
  • A page brief naming the buyer, the reason to buy and the offer
  • A first screen built from the ad, and a list of your buyers' doubts with the section that answers each
  • Body sections with answer-first headings, a cost block, questions and a closing
  • A list of every field left empty because a fact was missing
  • Any of its own checks the page still misses, each named with the reason
• 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
• Joseph Sugarman: Build a story-led product page through Joseph Sugarman’s recorded approach. Keep readers moving, state the drawback and plan a small test before rollout.
  • Your problem worked on the way Joseph Sugarman would: their questions, their method, their push-back
  • The answer or the work, in Joseph Sugarman'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 image ad gets clicks, but few of those visitors buy from the page.
• You are about to launch a new static ad and want its page written to match from the start.
• You wrote the ad and the page at different times, and the promise has drifted.

Limits to check before starting

• You have a video ad: use the Pre-launch ad checker, or the Video hook scorer if you only need the first seconds.
• You only want to check ad rules before launch: use the Meta ad policy checker.
• You have no landing page plan yet and only want a new ad picture: use the Single image ad planner.

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 holds HANDOFF.md and the 4 skill files in the order they run: Static ad critic, Ad awareness stage checker, Ad-matched landing page writer and Meta ads compliance checker.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Attach your ad image and paste its headline and text. Add your offer, price and guarantee.
• Read the fixed ad after step 1. The page is written from it, so change it now if a fix is wrong.
• Make the fixes the last check lists, then publish the ad and page together.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/turn-a-static-ad-into-a-sale-with-a-matching-page 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.