by ekim commerce
Amazon Listing Optimisation & Category Research Tool
Listing your products on Amazon?
StoreScore audits your listings versus topselling competitors and provides product category research at scale.
Get AI-assisted insights into your category✨
✅ Key product features & benefits
📷 Product imagery that converts
++ A+ Content Suggestions
👍Customer Review Analysis
PRODUCT
PRODUCT

How StoreScore Works?

Audit:
-
Select the ASINs to audit based on search terms, product category or manual selection
-
⭐Benchmark your listings versus topsellers in your category
-
🔍Get AI-driven category insights into: key USPs, imagery that converts & customer review analysis
Action:
-
⬆️Update your Amazon listings & content with messaging that converts
-
📷 Create ad content based on features and consumer feedback important to your shoppers
Why listing content is key in 2025?
Search optimisation is no longer about stuffing high volume keywords into your product pages. With new ways to search and increased competition, listings that address consumer's product queries are key!
Optimised listings drive:
-
Improve efficiency: product content is one of the few free levers for Amazon sellers to drive sales
-
Improved conversion rate: best in class product listings drive +36% improvement in sales (Profitero, 2025)
-
AI-Search traffic: 10% of shoppers already search via Amazon Rufus, and this is set to grow (Profitero, 2025)
USE CASE
Use Cases
01
Audit Your Product Content
Your product detail pages are the virtual equivalent of a physical store, containing product descriptions, customer reviews & images.
StoreScore audits your product pages versus competitors and industry best practices to identify areas to improve conversion rate.
02
Understand your Product Category
With the growth of AI search, listings need to communicate product benefits, address customer review queries and have best in class imagery - not just include high volume search terms.
StoreScore's AI-assisted research identifies key information about your category and top selling products, that can be used to inform your listing content.
03
Build Product Listings that Convert
Are your listings Amazon Rufus Ready? Traditional search marketing strategy relied on adding high volume search terms into content to improve rank, but with the growth of AI-shopping assistants, brands need to clearly communicate product benefits and answer common consumer queries.
Use the insights from StoreScore's content audit and category analysis to improve your digital shelf content.
04
Build your Content Strategy
Armed with the insights into your category, build a content marketing strategy to engage with your consumers on the product features and style that matters to them!
PRICING
Pricing to suit - whether you are looking for full catalogue or individual ASINs
Basic
-
Up to 3 product categories
-
ASIN audit
-
AI-driven insights into: key USPs and imagery
-
Customer Review analysis
-
Feedback meeting
Advanced
-
5+ product categories
-
ASIN audit
-
AI-driven insights into key USPs and imagery
-
Customer Review Analysis
-
Account Management
-
Content rollout plan
Enterprise
Looking for a white-label solution for your business?
Reach out to discuss.
Item | Basic | Advanced | Enterprise |
---|---|---|---|
Recommended Catalogue Size | Small (Up to 50 ASINs) | Medium/Large (50+ ASINs) | Large (100+ ASINs) |
StoreScore Advanced Analysis | Yes | Yes | Yes |
Benchmarking vs Bestselling Competitors | Yes | Yes | Yes |
Categories Audited (per/month) | 3 | 7 | 10+ |
ASINs Audited (per/month) | 20 | 100 | 100+ |
Competitor ASINs Analysed | 50-150 | 150+ | 200+ |
Category USP Analysis & Recommendation | Yes | Yes | Yes |
Main Image Analysis & Recommendations | Yes | Yes | Yes |
Imagery & A+ Analysis & Recommendations | Limited | Yes | Yes |
Customer Review Analysis & Recommendations | Limited | Yes | Yes |
Report | Basic | Detailed | Detailed |
Account Management | 1-time | Ongoing | Ongoing |
1-on-1 Meeting to Discuss Feedback | No | Yes | Yes |
Content Updates Action Plan | No | Yes | Yes |
ABOUT
StoreScore is built from a decade of experience in search and Amazon marketing for global brands
After a decade working in leading marketing agencies with global FMCG brands, Michael Farr created StoreScore to help SME businesses understand their category better and keep their products discoverable on marketplaces.
Inspired by evolving search behaviour on marketplaces, from search results based on a product keyword to personalised product recommendations by AI-shopping agent, StoreScore help products stand out versus competition on marketplaces as user search behaviour evolves.
Projects
Latest search marketing projects

Search marketing strategy, category analysis & product listing optimisation.
Thomas Street Candles

Search marketing strategy and content optimisation across Amazon, D2C and Google.
UK's Leading Natural Wine Retailer

Paid search strategy, keyword research & sponsored product ads training for in-house team.
East London Coffee Roastery
FAQ
Your questions, answered
-
What is the Digital Shelf?The digital shelf is the virtual equivalent of a physical storefront. It's where potential buyers interact with your products online, whether they're purchasing directly from your website or on a marketplace. Your Digital Shelf is often referred to as a product display page (PDP).
-
What is 'Conversational Commerce'?Conversational commerce is an emerging way that users can search for products, through interactions with chatbots and voice assistants. It's estimated that 1 in 10 searches on Amazon utilise the Rufus AI shopping agent. In contrast to traditional search, where a shopper types a keyword and sees a list of products related to their search term, conversational commerce provides more personalised product recommendations based on an interaction with a chatbot to determine preferences such as, budget, size, colour, product use and more. Conversational Commerce is a growing area of search marketing, with many search engines such as Amazon and ChatGPT now offering this style of product search to consumers. Brands need to ensure their product content is optimised to appear in these recommendations.
-
What is an AI-assisted shopping agent?Amazon Rufus is an AI assistant providing personalised shopping recommendations. It utilises AI and machine learning algorithms to deliver customised product suggestions based on a conversation to determine a shopper’s preferences, product use case and more. Rufus gathers data from a variety of sources, including product catalogue, user reviews, and external websites. As more shoppers use Rufus to search for products, brands needs to ensure content not only contains high volume search terms, but also key USPs and demonstrate their product value to remain discoverable through AI-agents.
-
How to optimise digital shelf content to display in ChatGPT and in AI Shopping Agents?As user search behaviour changes, and shoppers utilise conversational search to get the best product recommendation, brands need to update content to remain discoverable. ChatGPT uses info from a brand's website and across the web to inform the product suggestion. A strong SEO strategy, focussed on high volume keywords, plus content to answer common questions regarding delivery, reviews & benefits of the product (not just features) is the best way to improve your chances of ranking in results. As a starting point: Prompt customers to leave reviews where possible Ensure the return process is clearly visible on the website Add a note about customer service or support (e.g. response times) Update product descriptions to include product benefits, not just features Include a full suite of product images and videos - including text overlay to highlight product USPs Add an FAQ section to the product page to answer shoppers queries
-
How can I test StoreScore?StoreScore offer a number of packages for small and larger sellers - depending on the number of ASINs you would like to audit. Currently operated as a managed service, reach out to discuss how StoreScore could improve you listing content on Amazon.