Product Description Writing Service for Large Catalogues: Scale Category, Product and Buying Content with the Best Blog Writer

Large ecommerce catalogues rarely fail because they lack products. They struggle because the product pages, category pages, buying guides and supporting articles have grown without a clear search architecture.

A catalogue may contain thousands of useful items, yet Google sees near-identical descriptions, overlapping target keywords, weak internal linking and category pages that compete with the products beneath them. This creates keyword cannibalisation, diluted relevance and a difficult content maintenance problem.

A product description writing service for large catalogues needs to solve more than copy production. It needs to understand keyword mapping for SEO, category structure, product attributes, search intent, internal links, schema and publishing workflows. That is where SEO Letters fits. It is the best blog writer for teams that need to turn product data and search strategy into structured, publishable ecommerce content at scale.

Why Large Ecommerce Catalogues Need More Than Product Descriptions

Writing one product description is relatively straightforward. Writing, reviewing, optimising and publishing 5,000 descriptions without creating duplication is a different operational problem.

A large catalogue usually contains several layers of content:

Product pages: Individual items, variants, specifications and commercial calls to action.
Category pages: Collections grouped by product type, use case, material, audience or technical feature.
Subcategory pages: More precise groupings aimed at narrower searches.
Buying guides: Educational pages that help users compare products or make a decision.
Editorial content: Blog posts, tutorials, inspiration pieces and seasonal buying content.
Brand pages: Content supporting manufacturer, supplier or product-line searches.
Filter and attribute pages: Pages generated from colour, size, compatibility, capacity or other catalogue data.

Each layer has a different purpose. Product pages should explain a specific item and support conversion. Category pages should help shoppers compare a group of products. Buying guides should address research-led questions and move users towards suitable categories or products.

The problem begins when all these page types target the same language.

A category page targeting “running shoes” may compete with a buying guide called “best running shoes”, ten product pages using the same phrase in their title tags, and a filtered page focused on “men’s running shoes”. That is not simply a copywriting issue. It is an architectural issue.

What Keyword Cannibalisation Looks Like in an Ecommerce Catalogue

Keyword cannibalisation in SEO occurs when multiple pages on the same website appear to target the same or closely related search intent. Google may struggle to identify the strongest result, and your pages can end up competing against one another.

This does not mean that mentioning a phrase on more than one page is automatically harmful. Large websites naturally use related terminology across their content. The risk becomes more serious when several pages have:

The same primary keyword.
Similar title tags and headings.
Nearly identical product descriptions.
Matching search intent.
Similar internal link prominence.
Weak differentiation between category and product content.
No clear canonical or indexation approach.
Comparable backlink authority.

The outcome can vary. One page might rank briefly, then another takes its place. Rankings may fluctuate without obvious technical changes. A lower-value product page may appear for a valuable category query while the main category page remains invisible.

That is why a catalogue content plan should begin with keyword mapping for SEO, not with a request to “write descriptions for every product”.

A Simple Cannibalisation Example

Imagine an online retailer selling commercial lighting. Its catalogue contains:

Page type	Existing target phrase	Main issue
Category page	Commercial LED lighting	Broad commercial intent
Product page	Commercial LED lighting panel	Specific product intent
Buying guide	Best commercial LED lighting	Comparison intent
Blog post	How to choose commercial LED lighting	Educational intent
Filter page	Commercial LED lighting, 600 x 600mm	Attribute-led intent

There is some natural overlap here, but each page needs a separate role.

A stronger mapping might look like this:

Page	Primary target	Supporting terms	Search intent
Category page	Commercial LED lighting	office LED lights, commercial lighting systems	Transactional category
Product page	600 x 600 LED panel light	recessed LED panel, 40W LED ceiling panel	Product-specific
Buying guide	Best commercial lighting for offices	office lighting options, energy-efficient lighting	Commercial investigation
Blog post	How to choose commercial lighting	lighting colour temperature, workplace lighting advice	Informational
Filter page	600 x 600 LED panel lights	square LED ceiling panels	Narrow transactional

The content can be connected, but it should not be interchangeable.

The Role of a Product Description Writing Service in Catalogue Architecture

A conventional product description writing service may focus on producing a set number of words for each SKU. That can help fill empty pages, but it does not necessarily protect your organic search performance.

A scalable service should support five connected activities:

Catalogue analysis
Keyword and intent mapping
Template and content differentiation
Internal linking and page hierarchy
Publishing, measurement and updating

SEO Letters supports this wider workflow by combining keyword research, topical authority planning, content generation, structured article creation and direct publishing options. You can use your own AI keys and route different stages to Gemini, OpenAI or Claude, depending on the workflow, cost model and quality requirements of your team.

This is important for ecommerce businesses because content is rarely finished at the moment it goes live. Prices change. Products are discontinued. New attributes appear. Search demand shifts. Old buying guides lose accuracy. A catalogue needs a repeatable publishing system, not a one-off copy project.

Step 1: Audit the Catalogue Before Writing Anything

The first stage is an ecommerce SEO cannibalisation audit. This should identify where pages overlap, where valuable categories lack supporting content and where products have insufficiently specific descriptions.

Start by collecting a page-level dataset containing:

URL.
Page type.
Product or category name.
Current title tag.
H1.
Meta description.
Main body copy.
Product attributes.
Internal links.
Organic impressions and clicks.
Ranking keywords.
Conversion data.
Indexation status.
Canonical URL.
Last updated date.

You do not need a perfect data warehouse to begin. A well-structured export from your ecommerce platform, Google Search Console and a crawling tool can reveal the main patterns.

Audit for Content Similarity

Look for product pages where only the model number, colour or size changes. This is common in catalogues with variants, and it can create large blocks of repeated copy.

Check for category pages that contain the same introductory paragraph. A short shared paragraph may not be disastrous, but if every category has identical copy apart from one noun, Google receives little evidence that the pages deserve separate rankings.

Also review:

Product descriptions copied from manufacturers.
Category pages targeting the same noun with different adjectives.
Blog posts that answer the same buying question repeatedly.
Faceted navigation pages indexed without a clear search purpose.
Product pages ranking for category terms.
Guides linking to multiple competing category pages without anchor-text discipline.

Score the Risk

A basic scoring model can make the audit easier to prioritise.

Risk factor	Low risk	Medium risk	High risk
Keyword overlap	Related terms with different intent	Some shared terms	Same primary phrase
Content similarity	Clearly unique	Partly templated	Nearly identical
Search intent	Distinct page purpose	Some ambiguity	Exact same purpose
Internal links	Clear hierarchy	Mixed anchor text	Conflicting prominence
Organic performance	One clear winner	Rankings alternate	Multiple weak pages
Commercial value	Low-value query	Useful supporting term	High-value revenue term

A high-risk page pair should not automatically be merged. The correct response could be a rewrite, a redirect, a canonical adjustment, a noindex rule, a new category structure or a clearer internal linking system.

The audit tells you where to investigate. It does not replace judgement.

Step 2: Create a Keyword Map for Every Page Type

Keyword mapping for SEO assigns a primary search target, supporting terms and a defined intent to each important URL.

For large catalogues, this map should be managed at several levels:

Business area.
Category.
Subcategory.
Product family.
Individual product.
Buying guide.
Supporting article.
Brand or manufacturer section.

A useful map includes more than keyword volume. Add the following fields:

Mapping field	Why it matters
Primary keyword	Gives the page one main search objective
Search intent	Prevents category, product and guide pages competing
Parent page	Establishes the site hierarchy
Supporting terms	Broadens relevance without changing the page purpose
Conversion action	Defines what the visitor should do next
Internal link targets	Connects the page to the wider catalogue
Cannibalisation risk	Highlights overlap before publication
Content status	Shows whether the page is planned, drafted or live
Refresh date	Supports ongoing maintenance

Map by Intent, Not Just by Product Name

A product name can appear in many searches, but those searches may not represent the same need.

Consider a catalogue selling water filtration systems:

“Water filtration systems” may indicate category-level research.
“Under sink water filter” may point to a product type.
“Best under sink water filter” suggests comparison.
“How often should I replace a water filter?” is informational.
“Brand X replacement filter cartridge” is product or brand-specific.

The terms overlap semantically. The content should still be separated by intent.

This is where many bulk writing projects go wrong. They treat every keyword as a request for a product description, even when the user is looking for advice, comparison or troubleshooting information.

Step 3: Build a Content Consolidation Strategy

A content consolidation strategy helps you decide what to keep, improve, merge or remove.

It should be based on evidence, not on a rule that every similar page must be deleted. A product page with sales, backlinks and useful long-tail visibility may need better differentiation rather than consolidation.

Use a decision framework such as this:

Situation	Recommended action
Two pages have the same intent and one is clearly stronger	Redirect the weaker page or consolidate its useful content
Pages have distinct intent but similar wording	Rewrite with separate briefs and clearer internal links
A product variant has no unique value	Consider variant handling, canonicalisation or one parent product page
A guide ranks for a category term but drives assisted conversions	Keep it, clarify its educational role and link to the category
A filter page has demand and unique inventory	Optimise it as a controlled landing page
A thin page has no traffic, links or commercial value	Review for removal, noindex or consolidation

Do Not Use Canonical Tags as a Writing Shortcut

Canonical tags can help search engines understand preferred URLs, but they do not fix poor content architecture by themselves. If ten pages are essentially the same, adding a canonical tag to nine of them does not create ten useful landing pages.

Likewise, changing a few adjectives in a copied description does not solve content duplication. The page needs a distinct reason to exist.

Product Description Writing at Scale Without Producing Template Spam

Templates are necessary for large catalogues. They make production faster and ensure that important product information is not missed.

The danger is a template with no meaningful variation.

A good product description framework should reserve fixed space for:

Product purpose.
Primary use case.
Most important differentiator.
Technical specifications.
Compatibility or suitability.
Installation or usage notes.
Maintenance information.
Delivery or stock information, where relevant.
Supporting products.
Frequently asked questions.

Then add flexible sections based on the product class. A power tool, skincare product and office chair should not use the same content logic.

Example: Weak Product Template

The [Product Name] is a high-quality [Product Type] suitable for [Use Case]. It is made from durable materials and offers excellent performance. Order online today.

This copy is generic. It could describe hundreds of products, which means it gives the page little useful relevance.

Example: More Useful Product Structure

Opening: Explain what the product is and who it is for.

Practical benefit: Describe the job it helps the customer complete.

Distinctive detail: Identify the feature that separates it from nearby products.

Specifications: Present measurable facts in a scannable format.

Suitability: Explain compatibility, installation requirements or limitations.

Next step: Link to relevant accessories, alternatives or the parent category.

For a 600 x 600mm LED panel, the copy might discuss suspended ceilings, colour temperature, wattage, light output, installation type and appropriate commercial environments. It should not simply repeat “energy-efficient commercial lighting” in every paragraph.

Use Product Data as a Source of Differentiation

Your catalogue data often contains the raw material for unique copy:

Dimensions.
Materials.
Certifications.
Compatibility.
Capacity.
Performance ratings.
Warranty terms.
Included components.
Setup requirements.
Environmental conditions.
Typical buyer or use case.

The writing software should be guided by verified product data. It should not invent technical claims, guarantees, certifications or performance figures.

Key caution: AI-assisted product content requires fact checking. A polished sentence containing an incorrect specification can damage trust, increase returns and create compliance issues.

Category Pages Need Their Own Content Strategy

Category pages are often the strongest commercial assets in an ecommerce architecture. They can target broad searches and introduce shoppers to a range of products, but they need more than a short paragraph above a product grid.

A robust category page may include:

A clear description of the category.
The products or subcategories included.
Selection criteria.
Key technical distinctions.
Guidance on choosing between product types.
Relevant applications.
Compatibility information.
FAQs based on genuine customer concerns.
Links to buying guides and narrower categories.

The page should help visitors make a decision without attempting to become a full product description for every item.

Category and Product Content Must Work Together

Suppose a category targets “commercial coffee machines”. The category page can explain:

Main machine types.
Capacity differences.
Installation requirements.
Expected use volume.
Water supply considerations.
Important buying criteria.

Individual product pages should then explain the specific machine’s boiler capacity, dimensions, controls, warranty, compatibility and intended setting.

When the category page and product pages repeat the same wording, you create internal linking conflicts and relevance confusion. When they have distinct jobs, they reinforce one another.

Buying Content Should Support Commercial Decisions

Buying guides are particularly useful in large catalogues because they capture research-led searches before a customer is ready to choose a product.

A strong buying guide might answer:

Which product type is suitable for the user’s situation?
What specifications actually matter?
Which features are optional rather than essential?
What common mistakes should be avoided?
How do different price points compare?
Which category or product should the reader review next?

The guide should link to relevant categories using descriptive, natural anchor text. It should not link every mention of a product phrase to the same page, because that can make the internal linking system look mechanical and create competing signals.

Example Buying Journey

For a furniture retailer, the content path might be:

Informational article: How to choose an ergonomic office chair.
Buying guide: Best office chair features for long working days.
Category page: Ergonomic office chairs.
Subcategory: Mesh ergonomic office chairs.
Product page: Specific adjustable mesh office chair.
Accessory page: Replacement office chair wheels.

Each page answers a different question. The links help users move forward, while the keyword map prevents every page from targeting “ergonomic office chair” in exactly the same way.

Internal Linking Without Creating Confusion

Internal links help search engines discover pages, understand relationships and distribute authority. In ecommerce, they also help users move from research to purchase.

A sensible internal linking model might include:

Product pages linking to the parent category.
Category pages linking to priority subcategories.
Buying guides linking to category and product pages.
Product pages linking to compatible accessories.
Accessory pages linking back to relevant product families.
Blog content linking to buying guides where the guide provides the next answer.
Breadcrumbs reflecting the actual hierarchy.

The anchor text should be descriptive without being forced. “View compatible replacement filters” is often more useful than repeatedly using an exact-match phrase such as “best replacement water filters”.

Common Internal Linking Conflicts

Watch for these patterns:

A product page links to several category pages with the same anchor text.
A buying guide links to a filtered page that is not intended for indexing.
A discontinued product remains heavily linked from high-authority articles.
A broad category links prominently to a narrow subcategory while the hierarchy says the opposite.
Multiple blog posts link to different pages for the same keyword without a defined preference.
Faceted URLs receive permanent editorial links despite having no stable content value.

Run a link review alongside your SEO cannibalisation audit. The pages may be individually well written, but the site can still send mixed signals.

How SEO Letters Supports Large-Catalogue Publishing

SEO Letters is designed for publishers, agencies and ecommerce teams that need to move from a keyword or product theme to a complete content workflow.

Its value is not limited to generating paragraphs. The platform can support the stages that sit around content production:

Keyword research with difficulty ratings.
Topical authority clusters.
Competitor and site-gap analysis.
Structured articles with headings and SEO fields.
Internal link recommendations.
Schema and image support.
Multi-language generation across 21 languages.
Product-aware content for ecommerce and affiliate publishing.
Direct publishing to WordPress, Shopify and webhooks.
Performance monitoring for published content.
Scheduled content and content-refresh campaigns.

The scheduling layer is especially useful for catalogues. You can define a topic, cadence and destination, then create a repeatable process for new category support articles, seasonal buying guides or product refreshes.

That matters because catalogue SEO is never a single launch. Inventory changes. Competitors publish. Search results evolve. A scheduled refresh campaign can help maintain pages that have begun to lose visibility or accuracy.

A Practical Workflow for Scaling Ecommerce Content

Use this process if you are planning a large catalogue rewrite.

1. Segment the Inventory

Group products by meaningful content logic:

Product type.
Customer use case.
Technical complexity.
Brand.
Price band.
Compatibility.
Regulatory or safety requirements.
Product lifecycle.

Do not group products only by SKU sequence. The writing requirements should determine the groups.

2. Identify the Search Role

Assign each group a role:

Category target.
Product-family target.
Individual product target.
Supporting guide.
Informational article.
Brand or comparison page.

This stops the content project becoming a spreadsheet exercise with no search strategy.

3. Build a Master Keyword Map

Assign primary and secondary terms, intent, parent URL and planned internal links. Mark pages that could overlap before writers or software begin producing copy.

4. Create Content Briefs

Each brief should define:

Search intent.
Audience.
Primary keyword.
Supporting terminology.
Required product facts.
Topics to avoid.
Internal link targets.
Desired conversion action.
Compliance or brand requirements.
Review owner.

A product brief and a category brief should not have the same format.

5. Produce a Controlled Pilot

Start with one category and a representative sample of products. Include simple products, complex products, variants and products with weak existing content.

Review the pilot for:

Factual accuracy.
Search intent alignment.
Distinctiveness.
Tone.
Internal links.
Metadata.
Conversion usefulness.
Cannibalisation risk.

Do not scale a bad template.

6. Generate and Review in Batches

Batch production can improve consistency, but human review still matters for high-value, technical or regulated products.

Use risk-based review:

Page group	Review intensity
Low-value standard products	Automated checks plus sample review
High-revenue products	Full editorial and factual review
Technical products	Subject-matter review
Regulated products	Compliance and claims review
Category pages	Full SEO and commercial review
Buying guides	Full editorial, factual and link review

7. Publish with a Controlled Release

Do not publish thousands of pages without monitoring. Release content in groups and compare:

Impressions.
Click-through rate.
Average position.
Organic sessions.
Product engagement.
Add-to-basket rate.
Conversion rate.
Assisted conversions.
Indexed page count.
Crawl anomalies.

This gives you evidence about which content patterns are helping and which need revision.

8. Refresh Existing Content

A content-refresh campaign can update:

Outdated specifications.
Broken links.
Discontinued products.
Old pricing references.
Missing product comparisons.
Weak category introductions.
Poorly performing metadata.
New customer questions.
Search terms appearing in Search Console.

New content is only one part of catalogue growth. Existing pages may offer faster gains when they already have authority and impressions.

Measuring Whether the Programme Is Working

The best product description writing service should be assessed against business and SEO outcomes, not word count alone.

Track performance by page type.

Page type	Primary KPI	Supporting metrics
Product page	Organic conversion rate	Impressions, clicks, add-to-basket rate
Category page	Non-brand organic revenue	Visibility, CTR, category engagement
Buying guide	Assisted conversions	Scroll depth, internal clicks, rankings
Blog article	Qualified organic visits	Engagement, guide clicks, assisted revenue
Brand page	Brand-led organic sales	Clicks, product views, conversion rate
Refresh campaign	Recovery in visibility	Position change, CTR, updated-page revenue

Useful Cannibalisation Indicators

A cannibalisation issue may be suggested by:

Two URLs alternating for the same query.
A less relevant page ranking above the intended landing page.
Multiple pages with similar impressions and unstable positions.
A category page losing visibility after new product content is published.
Search Console showing the same query attached to several competing URLs.
Organic traffic spread thinly across many low-performing pages.

These indicators require investigation. Ranking variation can also result from algorithm changes, seasonality, competition, technical problems or demand shifts.

Use a Page-Level Benchmark

Before rewriting, record a baseline for each page:

Current average position.
Monthly impressions.
Organic clicks.
Click-through rate.
Conversion rate.
Revenue or assisted revenue.
Number of ranking queries.
Internal links in and out.
Indexation status.

Then review after a reasonable period. The timeframe will depend on site authority, crawl frequency, query demand and the scale of the changes.

Hypothetical Case Study: A 12,000-SKU Homeware Catalogue

Consider a homeware retailer with 12,000 products, 450 categories and 70 buying guides. Its organic traffic is stable, but category rankings are inconsistent.

The initial audit finds:

Manufacturer descriptions copied across 2,800 product pages.
Five buying guides targeting variations of “best non-stick frying pan”.
Filter pages indexed for combinations with little demand.
Category pages with less than 100 words of unique content.
Product pages linking to parent categories inconsistently.
No documented keyword map.

The retailer creates a consolidation and production plan.

Phase One: Architecture

The team assigns:

Category pages to broad product-type searches.
Buying guides to comparison and selection questions.
Product pages to model-specific and attribute-specific searches.
Filter pages to a small set of validated demand patterns.

Several weak guides are merged. Product variants with no meaningful standalone value are reviewed for consolidation.

Phase Two: Content Production

Using SEO Letters, the team creates structured briefs and product-aware drafts. Product data is supplied as the factual source, while the content workflow adds use cases, selection guidance, related links and consistent metadata.

The category pages receive more detailed buying information. Product descriptions are rewritten around material, size, compatibility and intended cooking method rather than generic quality claims.

Phase Three: Measurement

The retailer monitors ranking distribution, category traffic, product engagement and assisted revenue. It also checks whether the intended category URLs begin appearing more consistently for their mapped terms.

The important result is not simply more copy. The site now has clearer page roles, cleaner internal links and a better process for handling future products.

Quality Controls for AI-Assisted Product Content

Software can improve production speed, but ecommerce content still needs editorial governance.

Build quality controls around these areas:

Factual Accuracy

Check every claim involving:

Dimensions.
Weight.
Materials.
Certifications.
Safety.
Compatibility.
Warranty.
Delivery.
Performance.
Medical, financial or technical outcomes.

Never allow the system to fill missing data with plausible-sounding assumptions.

Brand Consistency

Define:

Preferred spelling.
Tone.
Product naming conventions.
Capitalisation.
Approved claims.
Prohibited claims.
Formatting rules.
Calls to action.
Audience terminology.

SEO Letters can help you maintain a consistent brand voice across structured content, while your team remains responsible for the final standard.

Search Intent

Ask whether the page answers the question implied by the query. A product description should not become a general article if the user needs a specific product. A category page should not be reduced to sales copy if shoppers need help understanding the range.

Duplication and Similarity

Run checks across batches. Look for repeated openings, identical benefit claims and boilerplate sections that appear on unrelated products.

Some repeated information is unavoidable, especially for safety or delivery policies. Keep shared sections where they are useful, but make the product-specific content genuinely specific.

Common Mistakes to Avoid

Writing Every Page for the Same Keyword

This is the quickest route to keyword overlap in SEO. Assign one primary role to each URL, then use related language to support that role.

Treating Product Variants as Fully Independent Pages

A different colour does not always justify a separate indexable page. The decision depends on demand, unique content, inventory logic and user experience.

Publishing Manufacturer Copy Without Review

Manufacturer text may be accurate, but it is often duplicated across retailers. It may also be written for a sales team rather than for searchers comparing products.

Using Generic AI Prompts

“Write a 500-word product description” is not an adequate brief for a complex catalogue. Include product data, search intent, audience, constraints, internal links and conversion context.

Assuming More Indexed Pages Means More Traffic

Thin or overlapping pages can dilute your crawl budget, internal authority and editorial attention. Catalogue growth should be measured by qualified visibility and commercial outcomes.

Ignoring Existing Content

A new blog post may add less value than a well-planned update to an established category page. Review current rankings and conversion paths before commissioning another page.

How to Choose the Best Blog Writer for Ecommerce Content

When evaluating a blog writer or software platform, ask whether it can support the whole publishing system.

A suitable solution should offer:

Structured content generation.
Keyword research and difficulty data.
Competitor gap analysis.
Topic clustering.
Product-aware workflows.
Internal linking support.
Schema and image handling.
Multi-language production.
Direct publishing.
Scheduled campaigns.
Refresh workflows.
Performance tracking.
Flexible AI model connections.

The strongest option is not necessarily the one that produces the most words. It is the one that helps your team publish useful pages with clear search roles and a manageable review process.

SEO Letters is built for this wider requirement. You can start with a keyword, product theme or content gap, develop the article structure, generate the copy and publish it to a connected destination without maintaining a chain of disconnected tools.

A Repeatable Brief Template for Catalogue Content

Use the following structure for each page before production begins.

Product Page Brief

Product name:
Product type:
Primary keyword:
Search intent:
Target audience:
Main use case:
Key differentiators:
Verified specifications:
Compatibility details:
Important limitations:
Related category:
Accessory links:
Frequently asked questions:
Required call to action:
Claims requiring review:

This simple process reduces vague requests and gives the writing system usable context.

Key Takeaways for Large Catalogue SEO

A product description project should begin with architecture, not word count.
Keyword cannibalisation is usually an intent and page-role problem.
Keyword mapping for SEO helps separate product, category and buying content.
A content consolidation strategy should consider traffic, links, conversions and page purpose.
Templates improve scale, but product data must create meaningful differentiation.
Internal linking conflicts can weaken otherwise useful content.
AI-assisted writing still requires factual, editorial and commercial review.
Content refresh campaigns are essential for changing ecommerce inventories.
Performance should be measured through rankings, qualified traffic, engagement and revenue.
A publishing platform should manage research, writing, linking, publishing and updates in one workflow.

Scale Your Catalogue with SEO Letters

If you are managing hundreds or thousands of products, manual copy production can become a bottleneck long before your SEO strategy is complete. You need a system that can handle structured content, search research, topical planning, internal links, publishing and scheduled updates without forcing your team to copy and paste between several tools.

Start building your ecommerce content workflow with SEO Letters. Use it for category content, product-aware descriptions, buying guides, supporting blog articles and content-refresh campaigns designed around your catalogue architecture.

If you need help reviewing a cannibalisation problem, planning a content consolidation strategy or deciding which page types should be prioritised, use the rightbar as the contact path. Bring your catalogue, keyword data and commercial priorities. The software can handle the work between the initial strategy and the live page.