📋 Overview
Building A+ Content without a plan is one of the most common ways sellers burn through their content quota and end up with layouts that look polished but do not convert. The storyboarding phase — deciding which modules to use, in what order, and what job each one does — is where most of the real work happens, and it is a phase where AI tools can save you significant time.
This article shows you how to use AI to draft a module-by-module storyboard for your A+ Content before you open a single template in Seller Central. You will learn how to write prompts that produce useful plans, how to evaluate what the AI gives you, and what to verify before you build.
🎯 Who This Is For
🌱 Beginner sellers
You have brand registry and access to A+ Content but are not sure how to structure a page that actually tells your product story. You want a starting framework rather than a blank canvas.
🚀 Advanced sellers
You are managing multiple ASINs or categories and want a repeatable process for creating storyboards faster without sacrificing strategic thinking. You may also be briefing a designer or content writer and need a structured handoff document.
🔑 Key Concepts You Need to Know
📐 A+ Content
A+ Content is a Seller Central feature that replaces the plain-text product description with rich, structured content — images, comparison charts, text panels, and more. Brand-registered sellers have access, and since January 2024 Professional Sellers can also use Basic A+ Content on generic ASINs; Amazon removed the earlier Premium A+ eligibility thresholds in May 2026, so Premium modules are now enabled by default for many Seller Central brand owners. Amazon offers a set of pre-built module types you select and arrange to form your page. The number of modules you can add per ASIN and the total content quota you have access to are defined by Amazon and can vary by account; confirm your current limits inside Seller Central under the A+ Content manager.
🗂️ Storyboarding
A storyboard is a module-by-module plan you create before building. It names each module type, describes what goes in it (the headline, the image concept, the body copy angle), and explains what job that module does for the shopper. A storyboard is a planning document, not the finished content. It lives in a text file or doc, not in Seller Central.
🧩 Module types
Amazon provides a library of module templates — header images, text-and-image combinations, comparison tables, feature highlight grids, and others. The available module types, and any constraints on combining them, are shown inside the A+ Content manager in Seller Central. Because Amazon updates its module library, treat the in-product library as the authoritative list rather than any external summary.
🤖 AI storyboarding
You are using an AI text tool — a large language model — to generate a written plan for your A+ layout. The AI does not connect to Seller Central, does not know your specific product unless you tell it, and cannot submit or preview content. Its output is a structured draft you evaluate, edit, and then use as a brief when you build in Seller Central.
🛠️ Step-by-Step Guide
1️⃣ Audit what you have before you plan what to build
Open the A+ Content Manager in Seller Central and note the module types currently available in the builder. Write them down. This takes five minutes and prevents you from asking AI to plan a layout around a module type that does not exist or is not available on your account. Also note whether you are working toward Basic or Premium A+ — the module options differ.
2️⃣ Collect your product inputs
Before you prompt anything, gather these in a single document:
- Your product name and category
- The top three to five reasons shoppers buy it (pull from your reviews and your bullet points)
- The top two or three objections shoppers raise (pull from negative reviews and Q&A)
- Any direct competitor positioning you want to contrast against
- The image assets you actually have or can shoot
The quality of your storyboard is almost entirely determined by how much product context you give the AI. A weak input produces a generic plan.
3️⃣ Write a structured storyboard prompt
Do not ask for “good A+ Content.” Ask for a module-by-module plan with a specific structure. Here is a reusable prompt pattern you can adapt:
You are helping me plan A+ Content for an Amazon product listing. I will give you product details and the module types available to me. For each module in the storyboard, give me: (1) the module type, (2) a one-line headline concept, (3) a one-paragraph description of the image I need, and (4) a one-paragraph description of the copy angle and what shopper objection or desire it addresses.
Product: [your product name and category]
Key purchase drivers: [list your top reasons]
Key objections: [list your top objections]
Available module types: [paste the list from your Seller Central audit]
Number of modules I want to plan: [your target number]Output a numbered storyboard. Do not write final copy — write planning briefs only.
The instruction “do not write final copy” is important. If you ask for finished copy at this stage, the AI fills in detail it cannot know, and you end up editing a wall of text instead of a clean plan.
💡 Pro Tip: Paste your three best and three worst reviews directly into the prompt after your objections list. Real customer language gives the AI far more signal than a summary you write yourself, and it often surfaces framing angles you would not have thought of.
4️⃣ Evaluate the storyboard output critically
When the AI returns a storyboard, read it against these questions before you accept any module plan:
- Does every module earn its place, or are some just padding?
- Does the sequence follow a logical shopper journey — awareness to conviction to reassurance — or does it jump around?
- Are the objections you listed actually addressed, and at roughly the right position in the page?
- Are the image briefs realistic given what you can actually shoot or license?
- Does any module type in the plan match something that does not exist in your Seller Central module library?
AI will confidently suggest modules it invented or misremembered. Cross every module type against your Step 1 audit list before proceeding.
5️⃣ Iterate with follow-up prompts
Storyboarding with AI is a conversation, not a single query. Common follow-up prompts that improve the plan:
- “Module 3 feels too generic. Rewrite it to specifically address a shopper who is comparing my product to [category competitor type].”
- “I do not have the image assets for Module 5. Suggest an alternative module that achieves the same goal with text and a simpler lifestyle photo.”
- “Tighten the storyboard to five modules. Tell me which two to cut and why.”
6️⃣ Verify your plan against Amazon’s content policies
Before you write a single word of final copy, check your storyboard for angles that Amazon’s A+ Content guidelines prohibit. Common policy violations that AI will suggest without flagging include: references to competitor brand names, price or promotional claims, claims about shipping speed, guarantee language that Amazon has not approved, and superlatives like “number one” without substantiation. Review Amazon’s current A+ Content guidelines in the Help section of Seller Central before writing.
💡 Pro Tip: Add a final step to your prompt: “Flag any elements in this storyboard that might conflict with Amazon’s A+ Content policies.” The AI will not catch everything, but it often surfaces the most obvious risks — and it prompts you to read the policy yourself rather than skip that step.
7️⃣ Use the storyboard as a creative brief
Your finished storyboard should be specific enough that a designer or copywriter could execute it without a call with you. Each module entry should state the module type, the image concept (subject, setting, mood, any text overlay concept), and the copy angle (what desire or objection it addresses, and the tone). This brief is your handoff document. Build from it directly in the A+ Content Manager.
💼 Real-World Examples or Scenarios
📦 Scenario A: New seller, single product, no design background
A seller launching a kitchen product notices that the product description field is where most competitors are losing shoppers — walls of text with no visual structure. They have brand registry but have never used A+ Content. They audit the module library in the A+ Content Manager, list five available module types, then write a prompt with their top purchase drivers (easy cleanup, compact size, material quality) and their top objections from reviews (durability concerns, unclear sizing). The AI returns a six-module plan. Two modules turn out to reference a type the seller does not have access to; those get replaced with modules from the actual library. The remaining four become the brief. The seller writes final copy against the brief and builds the page in about half a day rather than starting from a blank canvas.
📊 Scenario B: Experienced seller, category expansion, multiple ASINs
A seller with an established catalog enters a new subcategory. Rather than rebuilding the storyboarding process from scratch for each new ASIN, they create a reusable prompt template that accepts product-specific inputs (purchase drivers, objections, available assets) and returns a consistent storyboard format. They refine the template across three launches until the output requires minimal editing. The storyboard becomes the standard brief format their content writer receives. Build time per ASIN decreases, and the pages maintain consistent strategic structure across the catalog.
⚠️ Common Mistakes to Avoid
❌ Asking AI for finished copy instead of a plan
When you skip storyboarding and ask AI to write the A+ Content directly, you get copy that sounds reasonable but is not anchored to a coherent module strategy. You end up with six modules that all make the same point, or a page where the shopper’s key objection is never addressed. Write the plan first, then write the copy from the plan.
⚠️ Trusting the AI’s module type names without checking
AI models do not have live access to Seller Central and will confidently name module types that do not exist, have been renamed, or are not available to all sellers. Always cross-check every module type the AI suggests against the current library in your A+ Content Manager. A storyboard built around a nonexistent module wastes your revision cycles.
🚫 Skipping the policy check on AI-generated content angles
AI will suggest compelling angles — competitor comparisons, performance guarantees, “best in class” framing — without knowing or flagging that some of these violate Amazon’s A+ Content guidelines. The AI’s job is to be persuasive, not compliant. Your job is to check the output against the current guidelines before you build. A policy violation on A+ Content can result in the content being rejected or taken down after approval.
❌ Providing too little product context in the prompt
A prompt that says “write an A+ storyboard for a water bottle” produces a storyboard that could describe any water bottle. Generic input produces generic plans. The more specific your purchase drivers, objections, and competitive positioning, the more the storyboard does actual strategic work. This is the single input variable with the most leverage on output quality.
📈 Expected Results
A storyboard-first workflow does not guarantee better conversion, but it removes the most common structural causes of underperforming A+ Content: redundant modules, unaddressed objections, and layouts that do not follow a shopper’s decision process.
Watch your Detail Page Views and Unit Session Percentage (your conversion rate) in Business Reports after new A+ Content goes live. Changes to A+ Content typically take several weeks to show a stable effect on conversion data, because session volume needs to accumulate before the numbers are meaningful. Do not evaluate the page after a few days.
The efficiency gain is more immediate: sellers with a storyboard brief in hand before they open the A+ Content Manager typically spend less time in the builder and produce fewer revision cycles, because the decisions were made upstream. That time saving compounds across a catalog.
❓ FAQs
🤔 Can I use AI to write the actual A+ Content copy, not just the plan?
Yes, but use the storyboard as the input. Once you have a module plan with a defined copy angle for each module, you can prompt AI to draft the text for each module individually against its brief. This produces much better output than asking for all the copy at once with no structure. Review every line against Amazon’s character limits (confirmed in the A+ Content Manager) and against the content policy guidelines before you paste anything into Seller Central.
🤔 Does AI know what my competitor’s A+ Content looks like?
Standard AI chat tools do not browse live Amazon listings unless they have an explicit web-browsing capability enabled — and even then, their access is not reliable or consistent. Do not rely on AI to analyze competitor A+ Content for you. Do that research yourself by visiting competitor detail pages as a shopper, then feed your observations into your prompt as context.
🤔 How many modules should my A+ Content have?
The right number is the fewest modules that cover every meaningful stage of the shopper’s decision — typically from product introduction through key differentiators through objection handling. Adding modules to fill a quota produces diluted pages. The A+ Content Manager in Seller Central shows your module limit; your storyboard should plan for strategic coverage, not maximum count.
🤔 Which AI tools work best for this?
The technique in this article works with any capable AI text tool — the prompt pattern matters more than the specific model. The AI landscape changes quickly, with new models and features releasing regularly. Test the tool you have access to, evaluate the output quality yourself, and check current capabilities on the vendor’s own documentation rather than relying on any external comparison.
🤔 My A+ Content was rejected. Could the storyboard process have caught that?
Sometimes. The storyboard step is where you should be auditing for prohibited content angles — competitor names, pricing claims, guarantee language, unsubstantiated superlatives. If you added a policy check to your storyboard review (Step 6), many common rejection triggers surface before you spend time building. If your content was rejected, read the rejection reason carefully, locate the specific guideline it references in Seller Central’s Help documentation, and correct the content at the storyboard level before rebuilding — not just in the copy.