Last updated on July 2nd, 2025

As someone who works in the heart of eCommerce content services, I know how critical content is to the performance of a store. At Vserve, our job is to ensure that product content is not only optimized but also aligned with real customer behavior and current market trends. We help brands with everything from eCommerce product content writing, SEO, catalog cleanup, and content enrichment to multichannel listing management.

Unlike services that rely solely on automated solutions, we believe in striking a balance between technology and talent. While AI-based content automation is trending, our human-led approach ensures emotional intelligence, creative nuance, and strategic adaptability, things machines can’t yet replicate. But that doesn’t mean we ignore the tools. We use a carefully curated toolkit that enables us to stay efficient and deliver consistent results.

Here’s a quick look at who we are and how we support content-driven growth across eCommerce platforms:

Vserve: Human-Led eCommerce Content Services, Powered by Smart Tools

Specifics	Details
What We Do	eCommerce product content writing, SEO, catalog cleanup, content enrichment, and multichannel listing management
Our Philosophy	We balance AI-based content automation with expert human editing to ensure clarity, brand voice consistency, and emotional intelligence
Our Toolkit	Semrush, Merch Metric, Jasper AI, Akeneo PIM, Surfer SEO, Grammarly, Ahrefs, Canva, Adobe Express, Screaming Frog, MarketMuse
Our Specialty	Product content optimization tailored to platform algorithms and shopper behavior across Amazon, Walmart, Shopify, and more
Industries Served	Fashion, electronics, beauty, furniture, CPG, health & wellness, and multi-category retailers
Global Reach	USA, India, Philippines, and international DTC and B2B brands
Contact Details	📍 USA: 99 Wall Street #1132, New York, NY 10005 📍 India: Vijay Towers, RS Puram, Coimbatore, Tamil Nadu 641002 🌐 https://www.merchmetric.com/

So today, I’ll walk you through the top tools used by expert eCommerce content teams in 2025. These tools support everything from AI-enhanced product data management to intelligent demand forecasting, but remember, they’re only as good as the humans behind them.

Table of Contents

1. Semrush: Content & Market Intelligence in One

2. Merch Metric: Marketplace Intelligence Meets Inventory Insight

3. ChatGPT & Grammarly: Drafting + Polishing Product Descriptions

4. Jasper AI (Used Cautiously)

5. Akeneo PIM: Centralized Product Data Management

6. Surfer SEO: Optimizing for SERPs

7. Ahrefs: Deep-Dive into Competitor Content Strategies

8. Screaming Frog + Sitebulb: Technical Content Checks

9. Canva + Adobe Express: Visual Content Collaboration

10. MarketMuse: Content Planning with Predictive Intelligence

Case Study: How Our Content Strategy Improved Marketplace Performance

Frequently Asked Questions (FAQs)

Key Takeaways

1. Semrush: Content & Market Intelligence in One

Semrush remains a go-to platform for eCommerce content optimization because it combines keyword research, competitive analysis, and traffic trend tracking in one space. Our team uses it to:

• Conduct keyword gap analysis between client listings and competitors
• Monitor product-specific search intent
• Track top-ranking keywords for marketplace listings

The AI-powered competitive analysis and intelligent content personalization capabilities help shape smarter SEO content strategies. But what makes it reliable is that we pair the data with real human judgment. No keyword stuffing here just meaningful content with clear intent.

In one project with a fashion retail client, our team used Semrush to identify underperforming categories. By combining data from their catalog and Semrush’s keyword difficulty and intent analysis, we rewrote over 1,500 product titles and descriptions. The result? A 46% increase in organic traffic over two months.

According to McKinsey, over 78% of eCommerce businesses have adopted AI-powered tools to enhance operations, with a particular focus on content creation, personalization, and product optimization.

2. Merch Metric: Marketplace Intelligence Meets Inventory Insight

Merch Metric is one of the newest tools we’ve added to our tech stack, and it’s already proving essential. It provides eCommerce Market Intelligence by tracking pricing trends, inventory levels, product performance, and competitor stock movements.

Our team uses it to:

• Identify pricing fluctuations across competitors
• Monitor real-time out-of-stock risks
• Spot high-performing trends by category

By combining AI-powered competitive analysis and predictive analytics for e-commerce inventory planning, we can provide clients with smarter recommendations. For a fast-growing electronics accessories seller, using Merch Metric helped us reduce out-of-stock rates by 22% and maintain consistent pricing during peak sales weeks.

3. ChatGPT & Grammarly: Drafting + Polishing Product Descriptions

Generative tools like ChatGPT are useful for kickstarting the writing process, especially when you’re dealing with thousands of SKUs. It helps build AI-generated product descriptions fast, which our human editors then review and enhance for tone, accuracy, and brand alignment.

We pair this with Grammarly for grammar checks, style enhancements, and reading-level adjustments. Grammarly’s advanced suggestions have saved us hours of manual edits.

But these tools don’t publish anything as-is. Our trained copywriters refine every draft. It’s how we maintain consistency in eCommerce content services across Amazon, Shopify, and Walmart.

4. Jasper AI (Used Cautiously)

Jasper AI is helpful for brainstorming and high-volume content support. It uses AI-powered content optimization and intelligent product content creation to help shape outlines and ideas.

That said, we always make it clear to our clients: AI-driven content marketing solutions are not a replacement for a creative team. They’re assistants.

One project with a global electronics retailer required weekly blog content plus technical product write-ups. Jasper assisted with the first drafts, but our specialists ensured the brand tone and accurate specifications. Human QA made all the difference in buyer trust and conversions.

5. Akeneo PIM: Centralized Product Data Management

For large catalogs, Akeneo is invaluable. It offers AI-enhanced product data management features, particularly for:

• Multi-language support
• Rich product attribute management
• Channel-specific content variations

One of our clients with over 10,000 SKUs used Akeneo to unify their product content. We managed onboarding, taxonomy restructuring, and implemented rules for an intelligent content strategy on e-commerce platforms such as Amazon and eBay.

The result was a smoother listing process and reduced duplication across marketplaces, saving them over 80 hours of manual editing each month.

6. Surfer SEO: Optimizing for SERPs

Surfer SEO helps our team match content to current search engine behavior. It uses AI-powered content creation services to recommend:

• Word count targets
• NLP keyword suggestions
• Readability scores

It’s great for long-form category pages and blog content that supports eCommerce traffic funnels. With predictive analytics for e-commerce search behavior, Surfer lets us stay a step ahead.

In one case, a home furnishings client saw a 34% jump in page visibility after we re-optimized their top 10 category pages using Surfer.

7. Ahrefs: Deep-Dive into Competitor Content Strategies

We use Ahrefs to audit backlinks, content gaps, and competitor keyword clusters. It also provides insights into market trends, enabling AI-driven market analysis and intelligent demand forecasting.

One campaign we handled for a wellness brand involved optimizing 500+ SKUs. Ahrefs data helped us prioritize products based on SERP opportunities, allowing faster traction.

8. Screaming Frog + Sitebulb: Technical Content Checks

While they’re not always in the spotlight, tools like Screaming Frog and Sitebulb are a must for crawling eCommerce sites. They help find:

• Duplicate content
• Missing meta tags
• Broken image links

This is where Artificial Intelligence in content management hasn’t yet fully caught up to human QA. However, automation enables us to scan more efficiently. Once flagged, our team steps in to fix and rewrite.

9. Canva + Adobe Express: Visual Content Collaboration

A product page isn’t just words. We use Canva and Adobe Express to align visual content with written content. Intelligent product content creation often includes:

• Infographics for how-to-use guides
• Branded banners
• Image annotations to explain features

These tools speed up the process, but real design direction and storytelling always come from our creative leads.

10. MarketMuse: Content Planning with Predictive Intelligence

MarketMuse helps our strategists decide what to write and when. It uses predictive analytics for e-commerce and intelligent content personalization to map:

• Keyword clusters to content topics
• Authority gaps compared to competitors
• Optimization opportunities by page

We use it mostly for long-form planning and thought leadership blog content. A recent campaign for a skincare brand used MarketMuse insights to create a 10-part blog series. Engagement rose by 72% and email signups tripled.

Case Study: How Our Content Strategy Improved Marketplace Performance

A US-based tech gadget brand reached out to us in early 2024. They were managing 5,000+ product listings across Amazon, Shopify, and Walmart but saw high bounce rates and flat conversions. Our approach:

• Audited listings using Semrush, Ahrefs, and Screaming Frog
• Used Jasper and Grammarly to enhance descriptions
• Centralized data with Akeneo PIM
• Created SEO-friendly content calendars with MarketMuse

Within 3 months, they saw:

• 63% increase in Amazon sales
• 2.3x improvement in organic visibility
• 28% reduction in returns (due to clearer content)

Our human-led content service, backed by intelligent tools, made the difference.

Frequently Asked Questions (FAQs)

1. What makes eCommerce content different from regular website content?

Ecommerce content must be conversion-focused, product-specific, and keyword-optimized while also being clear and engaging to shoppers.

2. How often should product content be updated?

Ideally, review your top-performing SKUs every quarter. Update content based on keyword shifts, seasonal trends, and customer feedback.

3. Is AI content enough for SEO success?

AI tools help with ideas and structure, but human editing ensures tone, accuracy, and compliance. SEO still benefits most from manual strategy.

4. What are the key metrics to measure content performance?

Look at bounce rate, conversion rate, organic traffic, and time on page to evaluate how well your content is performing.

5. Can content tools replace a human content team?

No. Tools assist with efficiency, but content still needs human creativity, brand voice alignment, and emotional connection to be effective.

Key Takeaways

In wrapping up our deep dive into the top tools used by eCommerce content services teams in 2025, it’s clear that a hybrid model human-led services enhanced by smart tools is the winning strategy. Here are three key takeaways:

• Combine Technology with Talent: Tools like Semrush, Akeneo, and Jasper support speed and scale, but only human creativity delivers emotional and strategic depth.
• Prioritize Data + Experience: AI-driven market analysis and SEO suggestions are valuable, but interpreting those insights still requires skilled professionals.
• Content Is More Than Keywords: A well-crafted product page blends optimized text, compelling visuals, and clean technical structure, all maintained through careful oversight.

We’ve discussed how content teams can harness the best of both worlds, technology and human expertise, to stay competitive in today’s eCommerce space.

Join the conversation by dropping your thoughts in the comments. To stay up-to-date on ecommerce insights and strategies, be sure to check out our LinkedIn account.