Amazon Catalog Cleanup Before July 27, 2026: A Seller Operations Playbook

Amazon’s 75-character title update is easy to misunderstand.

On the surface, it sounds like a title-writing task.

In reality, it is a catalog cleanup project.

Where this stands now: as of early July 2026, that project has less than three weeks of runway before July 27, 2026. If you have not started, compress the playbook below into a tighter loop — export and triage this week, rewrite and review next week — and accept that low-priority SKUs may need to ship with "good enough" titles.

Starting July 27, 2026, Amazon is moving most non-media product titles toward 75 characters or fewer, including spaces. Item Highlights give sellers another 125 characters for supporting product details such as materials and recommended use cases.

For a small seller with 20 listings, this may be manageable.

For a brand with 500, 2,000, or 10,000 listings, this becomes operational work.

You need source files. You need title-length audits. You need SKU batches. You need review rules. You need a way to preserve useful product detail in Item Highlights. You need a way to flag risky claims. You need approvals. You need a clean handoff file.

This playbook shows how to run the project properly.

Quick answer: how should sellers handle Amazon catalog cleanup before July 27, 2026?

Sellers should treat Amazon's 75-character title update as a catalog operations project, not a copywriting sprint. Start by downloading the original Seller Central TXT listing export from Reports, Inventory Reports, preserving SKU, ASIN, and listing ID context, then audit every title's current length, segmenting rows into 150+, 101-150, 76-100, and under-75 character risk levels, since even compliant-length titles often still need Item Highlights or cleanup. Group listings by product type, rewrite titles around product identity using a brand plus product type plus variant plus size formula, and move useful supporting details like materials, ingredients, and use cases into the new 125-character Item Highlights field. Review risky claims such as health, safety, or clinically-proven language before reuse, assign each row a status like pending, generated, needs review, or approved, and export a review-ready working file that preserves original Amazon columns. Apply only approved updates through the correct Amazon workflow, then monitor listings afterward for unexpected changes.

Why this is a catalog cleanup project, not a title-writing task

A title rewrite is one small part of the work.

The real project includes:

• finding all affected listings
• preserving original Amazon columns
• deciding title rules by category
• moving useful details into Item Highlights
• reviewing unsupported or sensitive claims
• checking titles that are already under 75 characters
• preparing review files
• getting stakeholder approval
• applying updates safely
• monitoring post-update changes

That is why sellers should not wait until the last week.

A deadline-driven title cleanup can easily become a spreadsheet emergency.

The catalog cleanup mindset

Think of the update as five separate workflows:

If you skip any one of these, the project becomes harder.

For example, if you rewrite titles without preserving SKUs, mapping becomes risky. If you shorten titles without Item Highlights, useful product context may disappear. If you generate AI output without review, unsupported claims may slip through.

Catalog cleanup needs structure.

Phase 1: Assign ownership

Before downloading files or rewriting titles, decide who owns the project.

Possible owners:

• marketplace manager
• catalog operations lead
• e-commerce manager
• brand manager
• agency partner
• founder, for smaller brands

The owner does not need to do every task. But someone needs to coordinate the workflow.

Ownership checklist

• Project owner assigned.
• Catalog scope confirmed.
• Approval owner identified.
• Implementation owner identified.
• Agency or internal team responsibilities clarified.
• Deadline agreed.
• Review process agreed.
• Final file format agreed.

Without ownership, catalog cleanup turns into “someone should do this” work. That is usually code for “nobody will do it properly.”

Phase 2: Define catalog scope

Next, decide which listings are included.

Ask:

• Which marketplace is affected?
• Which brand or brands are included?
• Which product categories are included?
• Are discontinued SKUs excluded?
• Are media categories excluded where relevant?
• Are inactive listings included? If you run an agency, aligning scope parameters with your agency content workflows prevents client communication lag.
• Are marketplace-only products included? For mid-market brands, aligning these scope rules with your ecommerce team content workflows prevents duplicate editing cycles.

The goal is to avoid rewriting the wrong set of products.

Scope checklist

• Marketplace confirmed.
• Brand scope confirmed.
• Category scope confirmed.
• Active vs inactive listing scope confirmed.
• Variation handling confirmed.
• Discontinued products excluded if needed.
• Client/team approval scope confirmed.

Phase 3: Download the source TXT file

Start with the original Amazon Seller Central listing export.

Do not begin by copying titles into a blank spreadsheet.

Basic path:

1. Log in to Amazon Seller Central.
2. Go to Reports.
3. Open Inventory Reports.
4. Choose Active Listings, All Listings, Open Listings, or Category Listings Report, depending on the catalog view you need.
5. Click Request Report.
6. Wait until the report status becomes Ready.
7. Click Download.
8. Use the downloaded .txt file for your catalog cleanup workflow.

If your workflow expects the original Amazon Seller Central TXT export, do not convert it to CSV or XLSX before processing.

The original export helps preserve important row context:

• item-name
• item-description
• seller-sku
• ASIN
• listing ID
• product ID
• price
• quantity
• fulfillment channel
• other original Amazon columns

This matters because the title and Item Highlights only make sense when they stay connected to the right listing.

Phase 4: Create a backup and working copy

Before processing the file, create a backup.

Keep:

• original downloaded TXT file
• processed working file
• review-ready output file
• final approved file
• implementation tracking file if needed

This is especially important when multiple people are involved.

Naming convention

A simple naming convention helps:

• brand-marketplace-title-cleanup-source-YYYY-MM-DD.txt
• brand-marketplace-title-cleanup-review-v1.xlsx
• brand-marketplace-title-cleanup-approved-v1.xlsx

File control checklist

• Original TXT saved.
• Backup stored.
• Processing copy created.
• Naming convention defined.
• Version numbers added.
• Client/team access controlled.
• Final approved file stored separately.

Phase 5: Audit current title lengths

Now calculate current title lengths.

Do not only look for titles above 75 characters. Segment the whole catalog.

Why review titles already under 75 characters?

Because a title can be short and still poor.

Examples:

• Handmade Soap Bar, 100g (Short, but too generic).
• SOULBAR Mystic Musk Soap with Red Clay & Goat Milk, 100g (Short and useful).

Length is only one signal.

Audit checklist

• Current title length calculated.
• Very high risk (150+ chars) segmented.
• High risk (101-150 chars) segmented.
• Medium risk (76-100 chars) segmented.
• Compliant length (under 75 chars) checked for quality.
• Missing titles isolated.

Phase 6: Group listings by product type

Do not rewrite all titles with one generic rule.

Group listings by product type or category.

Examples:

• beauty and personal care
• car accessories
• electronics accessories
• home cleaning
• food and beverage
• apparel
• pet products
• tools
• toys

Different categories need different title priorities.

This grouping makes the final catalog feel consistent.

Phase 7: Build title rewrite rules

Before rewriting at scale, define title rules.

In most cases, the title should prioritize:

1. Brand
2. Product type
3. Variant, model, or style
4. Size, quantity, or pack count
5. One essential differentiator if space allows

A practical formula is:

Brand + Product Type + Variant/Model + Size/Quantity

But do not apply it blindly. Use it as a starting point.

Title rule checklist

• Keep brand where useful and source-supported.
• Keep product type.
• Keep variant or model when it distinguishes products.
• Keep size or quantity when important.
• Keep one identity-defining differentiator if needed.
• Remove repeated keywords.
• Remove noisy separators.
• Avoid unsupported claims.
• Avoid vague promotional filler.

Phase 8: Create Item Highlights rules

Item Highlights are not bullet points. They are not backend keywords. They are not a second title.

Use them for compact supporting details.

Good candidates:

• materials
• ingredients
• benefits
• use cases
• compatibility
• fragrance
• audience
• texture
• finish
• surface type
• size or quantity if not in title
• secondary differentiators

Example:

• Title: Soulbar Royal Musk Car Perfume Spray, 80 ml
• Item Highlights: hanging card, long-lasting freshener, 700+ sprays

The title identifies the product. The highlights preserve context.

Item Highlights checklist

• Use source-supported details.
• Keep the value within 125 characters.
• Use compact wording.
• Avoid paragraph-style copy.
• Avoid repeating the title unnecessarily.
• Avoid keyword stuffing.
• Review sensitive claims.

Phase 9: Rewrite titles and Item Highlights together

Do not create shorter titles first and Item Highlights later.

They should be written as a pair.

The title answers:

What is this product?

Item Highlights answer:

What else should the shopper know quickly?

Example:

• Original title: BrightWash Fabric Stain Remover Spray for Clothes, Sofa, Carpet & Upholstery | Color Safe Formula | Removes Food, Oil and Dirt Stains | 500 ml
• New title: BrightWash Fabric Stain Remover Spray, 500 ml
• Item Highlights: clothes, sofa, carpet use, color-safe formula, food and oil stains

This keeps the title clean and preserves useful detail.

Phase 10: Review sensitive claims

This is one of the most important phases.

Do not blindly move claims from the old title into Item Highlights.

Flag claims related to:

• health or medical benefits
• organic or natural status
• safety
• compatibility
• performance guarantees
• warranty
• child-safe or pet-safe use
• “clinically proven”
• “dermatologist-approved”
• “non-toxic”
• “anti-aging”
• “chemical-free”

Some claims may be valid. But they should be reviewed before reuse.

Claim review checklist

• Claim is source-supported.
• Claim is category-appropriate.
• Claim does not overpromise.
• Claim is not medical unless properly supported.
• Compatibility details are accurate.
• Size, quantity, material, and ingredient details are correct.
• Client or internal reviewer approves sensitive wording.

Phase 11: Create review states

Every row should have a status.

Use simple workflow states:

Status fields help teams avoid confusion.

Without statuses, nobody knows whether a row is ready, edited, stuck, or already approved.

Phase 12: Prioritize review by risk

Do not review every row with the same intensity.

Prioritize:

• low-confidence rows
• titles with missing descriptions
• rows with sensitive claims
• titles that became too generic
• outputs close to character limits
• unclear product types
• compatibility-heavy products
• products in regulated or claim-sensitive categories

This saves time.

Your best reviewers should not spend equal time on every clean row.

Phase 13: Prepare review-ready output

The output should be easy for your team to review.

A good review file includes:

• original title
• original title length
• original description
• new title
• new title length
• Item Highlights
• Item Highlights length
• confidence
• validation notes
• review status
• SKU
• ASIN
• listing ID
• product ID
• original Amazon columns

The output should be called review-ready, not automatically upload-ready.

A review-ready XLSX helps teams review and map approved values. It does not necessarily mean it can be uploaded directly to Amazon.

Phase 14: Get approval before implementation

Before updates are applied, approval should be clear.

Possible approval owners:

• founder
• brand manager
• ecommerce manager
• marketplace manager
• compliance/legal reviewer
• client stakeholder
• agency account owner

Approval should be especially strict for claim-sensitive categories.

Approval checklist

• Title approved.
• Item Highlights approved.
• Sensitive claims reviewed.
• Category fit checked.
• SKU mapping confirmed.
• Final file version locked.
• Implementation owner assigned.

Phase 15: Apply approved updates carefully

Once approved, apply updates through the correct Seller Central workflow or category template.

Do not assume a review-ready file is the final Amazon publishing file.

Track:

• what was approved
• what was applied
• when it was applied
• who applied it
• rows that were skipped
• rows needing follow-up

This is boring work. It is also the work that prevents mistakes.

Phase 16: Monitor after updates

After applying changes, monitor the listings.

Watch for:

• title display issues
• unexpected Amazon-initiated changes
• rejected updates
• missing highlights
• incorrect row mapping
• client or internal feedback
• conversion changes, where available
• search/discovery changes, where available

Do not make immediate conclusions from one day of data. But do keep a record.

Suggested timeline for sellers

Here is a practical timeline.

For very small catalogs, this can move faster.

For large catalogs, start earlier.

How AgenixSocial helps with Amazon catalog cleanup

AgenixSocial’s Amazon 75-Character Title Compliance workflow helps sellers turn catalog cleanup into a structured process.

The workflow starts with an original Amazon Seller Central TXT export. AgenixSocial primarily uses the item name, item description, and eligible product attributes from each row. It generates shorter titles and one comma-separated Item Highlights value while preserving original Amazon columns in a review-ready XLSX.

If you are managing catalog cleanup at scale, you can read more about coordinating updates in our guide on bulk Amazon title compliance or follow our step-by-step Amazon title compliance checklist to track tasks.

Sellers can:

• upload the original Amazon TXT export
• generate all valid rows
• generate selected rows
• edit generated titles
• edit Item Highlights
• regenerate rows
• review confidence signals
• review validation notes
• preserve original Amazon columns
• export a review-ready XLSX

Besides title compliance, you can optimize your listings with marketplace listing image sets and Amazon A+ content generation to keep your detail page quality high.

The first 100 products are free. After that, it is 1 credit per additional 100 products. You can buy pay-as-you-go credits as your catalog grows.

AgenixSocial does not publish changes to Amazon. It does not promise Amazon will approve every change. Sellers should still review product accuracy, claims, category fit, and marketplace requirements before applying updates.

Common mistakes to avoid

Mistake 1: Treating this as a copywriting sprint

It is a catalog operations project. Plan accordingly.

Mistake 2: Waiting until the deadline

The larger your catalog, the earlier you should start.

Mistake 3: Working from copied titles only

Use the original Amazon export to preserve listing context.

Mistake 4: Ignoring Item Highlights

Shorter titles need a support field. Item Highlights preserve useful detail.

Mistake 5: Reviewing only over-limit titles

Titles under 75 characters may still need cleanup or Item Highlights.

Mistake 6: Moving risky claims without review

Claims still matter even when the field is short.

Mistake 7: Treating review-ready files as direct upload files

A review-ready XLSX is a handoff and approval format. Apply updates through the correct Amazon workflow.

FAQ

What is Amazon catalog cleanup?

Amazon catalog cleanup is the process of reviewing and improving listing data across a catalog, including product titles, Item Highlights, claims, identifiers, and update workflows.

Why does Amazon’s 75-character title update require catalog cleanup?

Because sellers need to identify affected listings, rewrite titles, move supporting details into Item Highlights, review claims, preserve original columns, and apply approved updates safely.

When should sellers start catalog cleanup?

Sellers should start as early as possible, especially if they manage hundreds or thousands of SKUs. The deadline is July 27, 2026.

Where do I get the Amazon TXT export?

Go to Amazon Seller Central → Reports → Inventory Reports, choose Active Listings, All Listings, Open Listings, or Category Listings Report, request the report, wait until it is ready, then download the original .txt file.

Should I review titles already under 75 characters?

Yes. Short titles may still need Item Highlights, claim review, better structure, or consistency improvements.

What should move into Item Highlights?

Useful source-supported details such as materials, ingredients, benefits, use cases, compatibility, fragrance, size, quantity, or audience.

Can Amazon AI rewrite my titles?

Amazon has said over-limit titles may be updated gradually to AI recommendations. Sellers should prepare their own updates and review Amazon-initiated changes where available.

Can I use ChatGPT for Amazon catalog cleanup?

Generic AI can help with small title rewrites, but catalog cleanup needs row processing, character counts, validation notes, original column preservation, review status, and export structure.

Does AgenixSocial publish changes to Amazon?

No. AgenixSocial creates a review-ready XLSX. Sellers should apply approved values through the correct Amazon update workflow.

Does AgenixSocial promise Amazon approval?

No. AgenixSocial helps with compliance preparation and review. Sellers should still check product accuracy, claims, category fit, and marketplace requirements before applying updates.

Conclusion

Amazon’s 75-character title update is bigger than a title rewrite.

It is a catalog cleanup project.

Sellers need to organize source files, title audits, product groups, rewrite rules, Item Highlights, claim review, approvals, and implementation handoff.

The teams that handle this well will not be the ones rushing through a spreadsheet in the final week.

They will be the ones that treat it like operations work.

AgenixSocial helps sellers do that. Upload your Amazon TXT export, generate shorter titles and 125-character Item Highlights, review confidence and validation notes, edit or regenerate where needed, and export a review-ready XLSX your team can use.

First 100 products are free. After that, it is 1 credit per additional 100 products.

CTA: Run your Amazon catalog cleanup with Amazon 75-Character Title Compliance workflow.