ChatGPT answers, unedited

If you mean competitor intelligence for Amazon/ecommerce marketplaces, the tools that get closest to product-level keyword performance + category traffic are:

The standout: Similarweb

For the specific question “What keywords drive traffic to my competitor's product, and how much traffic/demand exists in its category?”, I'd put Similarweb Retail Intelligence at the top of the shortlist.

It reports weekly SKU-level data and lets you examine products, keywords and categories together. Its Amazon search optimization data includes keywords driving traffic to categories, competitor search-click performance, and product-level visibility; its sales analytics also exposes product views, traffic, revenue and units at category/brand/product levels. Similarweb Similarweb Similarweb

similarweb.com

If you're specifically Amazon-focused

Jungle Scout Cobalt is particularly relevant if the goal is category benchmarking: it exposes market share, category sales, search impressions, PDP views, category growth, and keyword/share-of-voice information. Jungle Scout

Helium 10 is more SEO/PPC-oriented. Its keyword tooling provides estimated search volume, sales data, competitor counts, and—when Amazon Brand Analytics is connected—keyword click-share and conversion-share data. Helium 10

One important distinction: Amazon itself has unusually valuable first-party data if you own a Brand Registry brand. Search Query Performance can show query volume plus impressions, clicks, cart adds and purchases, while Top Search Terms exposes top-clicked products, brands and categories. That's excellent for understanding your ASINs and market queries, although it isn't a general-purpose window into every competitor's private analytics. Sell on Amazon Sell on Amazon

My practical stack:

• Similarweb → competitor/category traffic + product-level market intelligence
• Amazon Brand Analytics/SQP → first-party keyword funnel data for your own brand
• Helium 10 → day-to-day Amazon keyword/PPC/listing research
• Jungle Scout Cobalt → category/market benchmarking at enterprise scale

If by “ecommerce” you mean Shopify/DTC rather than Amazon, the answer changes substantially—Similarweb + Semrush become much more relevant, while Jungle Scout/Helium 10 are largely marketplace-oriented. Semrush, for example, focuses on product/category keywords and competitor organic search performance across the web. semrush.com

For the specific question “What keywords drive traffic to my competitor's product, and how much traffic/demand exists in its category?”, I'd put Similarweb Retail Intelligence at the top of the shortlist.

It reports weekly SKU-level data and lets you examine products, keywords and categories together. Its Amazon search optimization data includes keywords driving traffic to categories, competitor search-click performance, and product-level visibility; its sales analytics also exposes product views, traffic, revenue and units at category/brand/product levels. Similarweb Similarweb Similarweb

similarweb.com

If you're specifically Amazon-focused

Jungle Scout Cobalt is particularly relevant if the goal is category benchmarking: it exposes market share, category sales, search impressions, PDP views, category growth, and keyword/share-of-voice information. Jungle Scout

Helium 10 is more SEO/PPC-oriented. Its keyword tooling provides estimated search volume, sales data, competitor counts, and—when Amazon Brand Analytics is connected—keyword click-share and conversion-share data. helium10.com

One important distinction: Amazon itself has unusually valuable first-party data if you own a Brand Registry brand. Search Query Performance can show query volume plus impressions, clicks, cart adds and purchases, while Top Search Terms exposes top-clicked products, brands and categories. That's excellent for understanding your ASINs and market queries, although it isn't a general-purpose window into every competitor's private analytics.

My practical stack:

If you mean ecommerce competitor intelligence tools that show (1) product/SKU-level keyword performance and (2) category traffic or demand, the strongest options depend on the marketplace (Amazon vs. DTC/Google vs. retail marketplaces).

If you specifically need “which competitor product is winning which keyword?”

Look at:

1. Similarweb Retail Intelligence — strongest fit for Amazon-style analysis because it links shopper searches to products, keywords, clicks, and category performance. Similarweb Similarweb
2. Helium 10 / Jungle Scout — more seller-focused; useful for ASIN keyword tracking and listing optimization.
3. DataWeave / Profitero — better if you manage many brands/SKUs across retailers.

If you need category traffic and market sizing

• Similarweb Retail Intelligence: category trends, product views, traffic sources, competitor benchmarking, and SKU-level performance. Similarweb Similarweb
• Semrush Traffic & Market Toolkit: broader web traffic, competitor channels, and search visibility. Semrush
• DataWeave / Profitero: stronger for retail shelf analytics and assortment decisions.

A typical ecommerce competitor stack

• Amazon marketplace intelligence: Similarweb + Helium 10 or Jungle Scout
• DTC brand competition: Semrush + Similarweb
• Enterprise retail/CPG: Similarweb Retail Intelligence + Profitero/DataWeave

A key distinction: many SEO tools show keywords that drive traffic to competitor pages, but fewer show marketplace search → keyword → product → clicks/sales/category share. For that deeper product-level marketplace view, Similarweb’s retail product is one of the more directly aligned options. Similarweb support.similarweb.com

If you mean competitive intelligence for ecommerce, especially “which competitor product is winning which keywords, and how much traffic/demand sits in a category,” the shortlist is fairly clear:

My pick: Similarweb

For the exact combination you described, Similarweb Retail Intelligence is probably the closest fit.

It can go unusually deep into the relationship between keyword → product → brand → category. Its data includes product-level metrics such as views, units sold and revenue, while category reports include total search clicks, brand share and category sales. Similarweb Knowledge Center Similarweb API V5 Documentation

For example, you can get:

• Keyword: “running shoes”
• Category: Running Shoes
• Product/ASIN: Competitor's specific SKU
• Product clicks: How much search traffic that SKU captures
• Brand share: How much of the keyword/category traffic goes to the brand
• Organic vs. paid: Where the traffic comes from
• Category clicks: Total search-driven demand
• Category sales/revenue: Commercial size of the category

Similarweb explicitly exposes Product Clicks, Keyword Performance, Category Clicks, and Brand Clicks Share as competitive metrics. Similarweb Knowledge Center

It also has a particularly useful Google Search report for Amazon: you can see the keywords sending Google traffic to specific competitor product pages and break that traffic into organic/paid. Similarweb Knowledge Center

Where Semrush fits

Semrush is better if your definition of “ecommerce competitor” includes Google search and Google Shopping, rather than primarily marketplace intelligence.

Its Organic Rankings can show which keywords drive traffic to competitors' product pages, while Position Tracking lets you track individual product/category URLs. Its PLA Research also shows competitor Shopping keywords, product titles, landing pages and estimated traffic. Semrush Semrush

For category-level web intelligence, Semrush's Traffic Analytics can break competitor traffic down by channel and its market-analysis tools help identify category leaders and emerging competitors. Semrush

The important distinction

If you're building a competitive ecommerce data stack, I'd think about it this way:

• Amazon / marketplace intelligence: Similarweb Retail Intelligence
• Google SEO + Shopping: Semrush
• Amazon seller-focused keyword/listing workflow: Helium 10
• Amazon product opportunity research: Jungle Scout
• Custom data product/API: DataForSEO + your own modeling

If you tell me whether you're targeting Amazon, Shopify/DTC, Walmart, or multiple retailers, I can give you a tighter 5–7 tool comparison—including which ones actually expose SKU/ASIN-level keyword → traffic → revenue data versus merely estimating it.

Semrush is better if your definition of “ecommerce competitor” includes Google search and Google Shopping, rather than primarily marketplace intelligence.

Its Organic Rankings can show which keywords drive traffic to competitors' product pages, while Position Tracking lets you track individual product/category URLs. Its PLA Research also shows competitor Shopping keywords, product titles, landing pages and estimated traffic.

For category-level web intelligence, Semrush's Traffic Analytics can break competitor traffic down by channel and its market-analysis tools help identify category leaders and emerging competitors.

The important distinction

If you mean ecommerce competitor intelligence tools that expose product-level keyword performance, category demand/traffic, and competitor product visibility, these are the main platforms to evaluate:

Best fit by use case

• “Which keywords drive competitor products?”

• Similarweb Retail Intelligence
• Semrush
• Helium 10 (Amazon)
• Pacvue Similarweb Pacvue
• “Which products/categories are growing?”

• Similarweb Retail Intelligence
• Pacvue
• DataWeave
• Profitero Similarweb Pacvue
• “Which Amazon ASINs are winning and why?”

• Helium 10
• Jungle Scout
• Similarweb Retail Intelligence
• Pacvue Similarweb Similarweb
• “Which Shopify/DTC competitors are scaling?”

• Similarweb
• Semrush
• EcomTracker
• ProductRecon Ecomtracker ProductRecon

Shortlist I’d start with

• Amazon-heavy brand: Similarweb + Helium 10/Pacvue
• SEO-driven ecommerce site: Semrush + Similarweb
• Enterprise marketplace team: Similarweb, Pacvue, Profitero, DataWeave
• DTC/Shopify competitor research: Similarweb + Semrush + EcomTracker

The key distinction: Amazon tools reveal ASIN/keyword mechanics, while web intelligence tools reveal traffic sources, category demand, and competitor acquisition channels. Many mature ecommerce teams use both because neither view alone shows the whole market. Similarweb Semrush

If by “product-level keyword performance + category traffic” you mean which competitor tools can tell you which specific SKUs/PDPs are winning, what search terms drive them, and how much traffic/demand exists at the category level, the strongest options are:

1. Similarweb — closest match to your description

Similarweb is probably the best fit if you want both product-level and category-level competitive intelligence.

Its Retail Intelligence can go down to SKU/product level, including sales, revenue, traffic, product views and conversion, while also letting you analyze categories and subcategories. It also provides Amazon on-site search data, including keywords driving traffic to categories and competitor search-click performance. Similarweb Similarweb

Particularly interesting is its combination of:

• Keyword → product relationships
• Product-level traffic/views
• Product sales and revenue estimates
• Category/subcategory demand
• Competitor keyword visibility
• Search clicks
• Traffic-source breakdowns
• Cross-shopping behavior

Similarweb says its Amazon dataset covers 383M products, 78K categories and 16.5M keywords, with weekly SKU-level data. Similarweb Similarweb

If you're trying to answer:

“Competitor X's top 500 products — what searches drive them, what categories are growing, and where are we losing share?”

I'd start here.

2. Semrush — best if Google/DTC matters

Semrush is stronger when the competitive landscape is Google search + Google Shopping + ecommerce websites, rather than purely marketplace data.

Its organic competitor analysis can show keywords driving traffic to competitors' product pages, while its ecommerce keyword analytics provides search volume, clicks, orders, product-page visits, add-to-basket events and conversions across major retailers. Semrush Semrush

Its PLA Research is particularly useful for product-level competitive Shopping intelligence: you can see the keywords triggering a competitor's Shopping products, the product/landing page, and the traffic generated by those keywords. Semrush

So:

Google/DTC: Semrush > Similarweb
Amazon/marketplaces: Similarweb > Semrush

3. Helium 10 — best Amazon-native competitor keyword tool

Helium 10's Cerebro is excellent if the question is specifically:

“Give me the keywords that this competitor ASIN ranks for.”

You can reverse-search an ASIN and identify competitor keywords, including organic and sponsored terms. Helium 10 also provides search-volume, sales and, with Amazon Brand Analytics connected, click-share and conversion-share information. Helium 10 Helium 10

Its weakness relative to Similarweb is category/market-level competitive traffic intelligence. It's primarily optimized around Amazon seller/product optimization rather than giving you a broad market map.

4. Jungle Scout — strong Amazon alternative

Jungle Scout's Keyword Scout supports keyword searches, reverse-ASIN searches and multi-ASIN analysis. Its data includes product category, keyword competitiveness and organic product counts. Jungle Scout

I'd put it behind Helium 10 for deep competitor keyword intelligence, but it's very useful for Amazon product discovery and opportunity analysis.

My shortlist

If you're building a competitive ecommerce intelligence stack, I'd think about it this way:

1. Similarweb Retail Intelligence — product + category + competitor + traffic + keyword ecosystem.
2. Semrush — Google SEO/Shopping and DTC competitor intelligence.
3. Helium 10 — Amazon ASIN → keyword → ranking/sales optimization.
4. Jungle Scout — Amazon product/keyword discovery.

The key distinction is that “keyword performance” means different things across these platforms. A tool might show that a competitor ranks for a keyword, while another can estimate clicks, conversions, product traffic or sales attributable to that search. Similarweb is particularly interesting if you need the latter rather than just SEO rankings. Similarweb Similarweb

If you're evaluating these for building a competitor-monitoring product/API, rather than buying a dashboard for your own team, I can also give you a vendor-by-vendor matrix of APIs, data granularity, estimated accuracy, coverage (Amazon/Shopify/Walmart/etc.), and pricing.

Its organic competitor analysis can show keywords driving traffic to competitors' product pages, while its ecommerce keyword analytics provides search volume, clicks, orders, product-page visits, add-to-basket events and conversions across major retailers. Semrush Semrush

Its PLA Research is particularly useful for product-level competitive Shopping intelligence: you can see the keywords triggering a competitor's Shopping products, the product/landing page, and the traffic generated by those keywords. Semrush

So:

Google/DTC: Semrush > Similarweb
Amazon/marketplaces: Similarweb > Semrush

3. Helium 10 — best Amazon-native competitor keyword tool

Helium 10's Cerebro is excellent if the question is specifically:

“Give me the keywords that this competitor ASIN ranks for.”

You can reverse-search an ASIN and identify competitor keywords, including organic and sponsored terms. Helium 10 also provides search-volume, sales and, with Amazon Brand Analytics connected, click-share and conversion-share information. helium10.com helium10.com

Its weakness relative to Similarweb is category/market-level competitive traffic intelligence. It's primarily optimized around Amazon seller/product optimization rather than giving you a broad market map.

4. Jungle Scout — strong Amazon alternative

Jungle Scout's Keyword Scout supports keyword searches, reverse-ASIN searches and multi-ASIN analysis. Its data includes product category, keyword competitiveness and organic product counts.

I'd put it behind Helium 10 for deep competitor keyword intelligence, but it's very useful for Amazon product discovery and opportunity analysis.

My shortlist

If you're building a competitive ecommerce intelligence stack, I'd think about it this way:

Yes. If by “product-level keyword performance + category traffic” you mean “show me which keywords drive visibility/traffic to a competitor’s specific SKU/product, while also showing how the broader category is performing,” the strongest options are:

My top 3

1. Similarweb — closest match to your exact requirement.

Its Retail Intelligence product goes down to SKU level, including product views, units sold, revenue, traffic sources, rankings and pricing. It also lets you analyze categories and identify keywords driving traffic to a particular product/category. Similarweb Similarweb Knowledge Center

It is particularly interesting if you're asking questions like:

“Competitor X sells 500 products in this category. Which SKUs are getting traffic, which keywords are driving them, and how is the category growing?”

Similarweb also says its marketplace taxonomy goes 4–5 levels deep on Amazon and covers millions of products and keywords. Similarweb

2. Semrush — best if Google/DTC matters.

Semrush's Organic Rankings can identify the keywords and pages driving competitor traffic, while Traffic Analytics gives you competitor traffic/channel intelligence. Its PLA Research can additionally connect Google Shopping keywords to competitor product titles and landing-page URLs. Semrush Semrush

So for a Shopify/DTC competitor, I'd probably choose Semrush over Jungle Scout/Helium 10.

3. Jungle Scout — best if you're specifically competing on Amazon.

Keyword Scout lets you reverse-search competitor ASINs and see the keywords those products rank for, including organic and sponsored rankings, search volume and historical trends. Jungle Scout

Helium 10 is a very similar choice; Cerebro can reverse-engineer an ASIN to find keywords associated with competitor sales, while its product research tools provide sales/demand and competitive signals. Helium 10 Helium 10

The important distinction

There are really two different intelligence problems:

• “What keywords does this product rank for?” → Semrush, Jungle Scout, Helium 10
• “How much traffic/sales does this product get, and how does it compare with the entire category?” → Similarweb Retail Intelligence and enterprise tools like Profitero

If you're building a competitive intelligence stack for an ecommerce brand, I'd use:

Similarweb + Semrush for DTC/Google
Similarweb + Jungle Scout or Helium 10 for Amazon
Similarweb + Profitero for large enterprise retail/category management.

One particularly interesting product is Semrush's Ecommerce Keyword Analytics, which goes beyond normal SEO: it reports ecommerce keyword data including product-page visits, add-to-basket events and conversions across major retailers. Semrush

If you tell me whether you're focused on Amazon, Shopify/DTC, Walmart, or multi-retailer, I can narrow this to the 3 tools that actually expose the deepest product-level competitor data, including approximate pricing and what each one does not reveal.

Similarweb also says its marketplace taxonomy goes 4–5 levels deep on Amazon and covers millions of products and keywords. Similarweb

2. Semrush — best if Google/DTC matters.

Semrush's Organic Rankings can identify the keywords and pages driving competitor traffic, while Traffic Analytics gives you competitor traffic/channel intelligence. Its PLA Research can additionally connect Google Shopping keywords to competitor product titles and landing-page URLs. semrush.com semrush.com

So for a Shopify/DTC competitor, I'd probably choose Semrush over Jungle Scout/Helium 10.

3. Jungle Scout — best if you're specifically competing on Amazon.

Keyword Scout lets you reverse-search competitor ASINs and see the keywords those products rank for, including organic and sponsored rankings, search volume and historical trends.

Helium 10 is a very similar choice; Cerebro can reverse-engineer an ASIN to find keywords associated with competitor sales, while its product research tools provide sales/demand and competitive signals.

The important distinction

For e-commerce competitor intelligence, the main tools that can expose product-level keyword performance and/or category traffic are:

• Helium 10 — Strong for Amazon. Product-level keyword rankings, search-volume estimates, competitor keyword gaps, and listing/ASIN research.
• Jungle Scout — Amazon-focused. Estimates product sales/revenue, keyword rankings, search demand, and category/product competition.
• Data Dive — Amazon-focused and particularly useful for reverse-ASIN keyword analysis and identifying which keywords drive competing products.
• SmartScout — Amazon competitor/category intelligence, including brand, product, seller, and category-level analysis.
• Similarweb — Best for category/site traffic intelligence rather than marketplace product-level SEO. Shows traffic sources, search terms, competitor benchmarking, and category/market trends.
• Semrush — Strong for retailer websites such as Walmart, Target, DTC stores, etc. Organic keyword rankings, competitor gaps, traffic estimates, and domain/category analysis.
• Ahrefs — Similar to Semrush for web-based e-commerce: competitor keywords, top pages, organic traffic estimates, and content/product-page performance.
• Profitero — Enterprise retail intelligence, particularly useful for Amazon/retail assortment, search visibility, pricing, and category performance.
• CommerceIQ — Enterprise Amazon/Walmart intelligence combining search, sales, advertising, and competitive/category data.

Which one for what?

One important caveat: “product-level keyword performance” usually means estimated rankings/search volume, not the competitor's actual keyword-attributed sales. Likewise, category traffic is generally modeled/estimated unless the retailer or marketplace exposes first-party data.

If you tell me whether you mean Amazon, Walmart, Shopify/DTC, or multi-retailer e-commerce, I can narrow this to the 3–5 tools that actually expose the data you need, including pricing and API/export capabilities.

If by “product-level keyword performance + category traffic” you mean “show me which keywords drive traffic to specific competitor SKUs/PDPs, and how much traffic/demand exists within the category,” there are a few strong options.

1. Similarweb — closest match to what you're describing

Similarweb is probably the best fit if you want both dimensions in one system.

Its Retail Intelligence can go from category → brand → product/SKU, with weekly data on product traffic, sales, revenue, rankings and pricing. Its search optimization data can show the keywords driving traffic to Amazon categories and specific product pages. Similarweb Similarweb Knowledge Center

Particularly useful capabilities:

• Keyword → product: which products receive clicks for a given keyword.
• Product → keywords: which search terms are sending traffic to a competitor's PDP.
• Category traffic: traffic/sales trends across categories and subcategories.
• SKU-level competitive performance: product views, sales, revenue, rank, etc.
• Keyword traffic share: competitor/brand share of traffic for a keyword.
• Category taxonomy: Amazon's deeper category/subcategory structure. Similarweb Similarweb

Similarweb explicitly says its Amazon data connects keywords to products, clicks, best-selling products and category performance. Similarweb

2. Semrush — better if Google/SEO is the primary battlefield

Semrush is excellent when your competitors are DTC sites, Shopify stores, retailers, or marketplaces whose PDPs are indexed by Google.

Its Organic Rankings reports can identify the keywords and pages driving competitor traffic, while Position Tracking can track individual product and category URLs. Semrush Semrush

It also has Ecommerce Keyword Analytics, which goes beyond conventional SEO metrics and reports things such as product-page visits, add-to-basket events and conversions for ecommerce keywords across major retailers. Semrush

So I'd use Semrush when the question is:

“Which Google queries are sending traffic to competitor product/category pages?”

And Similarweb when it's:

“What's actually happening inside the retail marketplace, down to products and categories?”

3. Helium 10 / Jungle Scout — if you're specifically Amazon-centric

For an Amazon-only business, I'd also evaluate Amazon-native intelligence tools such as Helium 10 and Jungle Scout. They're particularly useful for ASIN-level keyword/ranking research, estimated sales, competitor products and listing optimization.

But there's an important distinction: they're generally more seller/product research tools than broad market-traffic intelligence platforms.

My shortlist

If I were building an ecommerce competitive-intelligence stack:

1. Similarweb Retail Intelligence — best overall for product + keyword + category + competitor traffic.
2. Semrush — best complement for Google organic/paid search and DTC competitor sites.
3. Helium 10 — strong addition if Amazon is the primary marketplace.
4. Jungle Scout — good Amazon-focused product/category research alternative.

The key differentiator is Similarweb: it explicitly supports going from keyword → clicks → product → brand → category, rather than stopping at estimated keyword search volume. Similarweb Similarweb Knowledge Center

If you're evaluating these for a specific use case (e.g. “I want to see a competitor's top 100 SKUs and the keywords/traffic behind each”), I can also give you a feature-by-feature comparison of Similarweb vs Semrush vs Helium 10 vs Jungle Scout, including what each one actually exposes at SKU level and approximate pricing.

So I'd use Semrush when the question is:

“Which Google queries are sending traffic to competitor product/category pages?”

And Similarweb when it's:

“What's actually happening inside the retail marketplace, down to products and categories?”

3. Helium 10 / Jungle Scout — if you're specifically Amazon-centric

For an Amazon-only business, I'd also evaluate Amazon-native intelligence tools such as Helium 10 and Jungle Scout. They're particularly useful for ASIN-level keyword/ranking research, estimated sales, competitor products and listing optimization.

But there's an important distinction: they're generally more seller/product research tools than broad market-traffic intelligence platforms.

My shortlist

If I were building an ecommerce competitive-intelligence stack:

1. Similarweb Retail Intelligence — best overall for product + keyword + category + competitor traffic.
2. Semrush — best complement for Google organic/paid search and DTC competitor sites.
3. Helium 10 — strong addition if Amazon is the primary marketplace.
4. Jungle Scout — good Amazon-focused product/category research alternative.

The key differentiator is Similarweb: it explicitly supports going from keyword → clicks → product → brand → category, rather than stopping at estimated keyword search volume.

For e-commerce competitor intelligence, the strongest tools for product-level keyword performance + category traffic are:

• Helium 10 — strong for Amazon: ASIN-level keyword rankings, estimated sales/revenue, keyword volume, competitors, and category data.
• Jungle Scout — Amazon-focused; useful for product/ASIN sales estimates, keyword rankings, category demand, and competitive research.
• SmartScout — particularly good for Amazon category/subcategory traffic and seller/brand-level analysis, plus ASIN-level competitive intelligence.
• DataForSEO — more API/data-oriented; useful if you want to build your own competitor/product keyword database across search engines and marketplaces.
• Semrush — strongest for broader e-commerce SEO: competitor domains, product/category organic keywords, estimated traffic, and keyword-level visibility. Less precise for marketplace product-level data.
• Ahrefs — excellent for competitor organic keywords and traffic estimates, including individual product/category URLs when they are indexable. Again, primarily web SEO rather than marketplace data.
• Similarweb — best for category/site traffic and traffic sources; useful for benchmarking competitors, but generally weaker for SKU-level keyword performance.
• Profitero / CommerceIQ — enterprise e-commerce intelligence, especially for Amazon and retail marketplaces; stronger on market/category/product performance than traditional SEO keyword research.

If your goal is specifically…

Important distinction: “keyword performance” and “category traffic” are often measured differently. Amazon tools typically provide estimated search volume, rankings, sales, and market share, while Similarweb/Semrush/Ahrefs estimate web traffic. No single tool gives perfectly reliable competitor SKU-level traffic because competitors' internal analytics aren't public.

If you tell me whether you're selling on Amazon, Shopify/DTC, Walmart, or multiple marketplaces, I can narrow this to the 3–5 tools that actually expose the product-level data you need, including approximate pricing and which metrics each one reveals.

For e-commerce competitor research, the strongest tools for product-level keyword performance + category traffic are:

• Helium 10 — Strong for Amazon. Product-level keyword rankings, estimated sales/revenue, search-volume data, competitor ASIN analysis, and category/market insights.
• Jungle Scout — Amazon-focused. Good product-level demand estimates, keyword performance, category opportunity, and competitor tracking.
• DataHawk — Amazon/Walmart-focused. More analytics-heavy, with ASIN-level keyword rankings, market share, category trends, and competitive intelligence.
• SmartScout — Excellent for Amazon category/brand/product intelligence. Particularly useful for mapping category traffic, brands, sellers, and product-level opportunities.
• Similarweb — Best for website-level competitor traffic rather than individual SKUs. Useful for category/page traffic, search terms, channels, and competitor benchmarking.
• Semrush — Strong for Google organic/PPC. Can identify competitor product-page keywords, rankings, estimated traffic, and keyword gaps; less reliable for marketplace-specific product sales.
• Ahrefs — Similar to Semrush, particularly good for discovering which Google keywords drive traffic to competitor product/category pages.
• Profitero — Enterprise retail/e-commerce intelligence. Stronger for retailer-level assortment, pricing, search visibility, and category performance.
• CommerceIQ — Enterprise Amazon/e-commerce analytics, with competitive and marketplace performance data.

If you specifically need both dimensions

One important caveat: true competitor product-level keyword traffic is generally estimated, not directly observed. Marketplace tools infer performance from rankings, search volume, conversion assumptions, sales estimates, etc. For Google, Semrush/Ahrefs estimate organic traffic from ranking positions and search volumes.

If you tell me whether you're targeting Amazon, Shopify/DTC, Walmart, or multiple marketplaces, I can narrow this to the 3 best tools and compare exactly what product-level and category-level data each exposes.

For e-commerce, the strongest competitor-intelligence tools for product-level keyword performance and category traffic are:

• Helium 10 — Strong for Amazon: keyword rankings, estimated sales/revenue, search volume, competitor ASIN analysis, and category-level research.
• Jungle Scout — Amazon-focused; useful for competitor product sales estimates, keyword rankings, category demand, and market sizing.
• DataHawk — Amazon/Walmart analytics with product-level keyword tracking, market intelligence, and category/market trends.
• Similarweb — Best for category/site traffic intelligence: traffic estimates, channels, search terms, competitors, and category-level market analysis. Less granular for individual product pages.
• Semrush — Strong for Google organic keyword performance and competitor domains; can identify keywords driving traffic to specific product/category URLs, depending on the site/data available.
• Ahrefs — Similar strength for organic search: URL-level keyword rankings, estimated traffic, competing pages, and category/product SEO analysis.
• Profitero — Enterprise e-commerce intelligence, particularly useful for retailer/marketplace assortment, pricing, search visibility, and category performance.
• CommerceIQ — More focused on marketplace/e-commerce performance management, with competitor and category intelligence layered into Amazon/retail data.

If you specifically need both

The important distinction is that “product-level keyword performance” means different things depending on the channel. Amazon tools can estimate an ASIN's sales and keyword visibility, whereas Ahrefs/Semrush primarily estimate organic Google traffic and rankings to a URL. Similarweb is better for estimating traffic to the overall site/category and where that traffic comes from.

If you're evaluating these for a Shopify/DTC competitor, rather than Amazon, I'd narrow the shortlist considerably: Similarweb + Semrush/Ahrefs are generally the most relevant combination.

For e-commerce competitor intelligence, the strongest tools depend on whether you mean Amazon/product marketplaces or Google/retail SEO.

Best tools for product-level keywords + category traffic

• Helium 10 — Strong for Amazon. Shows estimated product-level keyword rankings, search volume, competing products, and keyword-level performance; its Black Box tools also help analyze categories and products.
• Jungle Scout — Amazon-focused. Good for product-level sales/revenue estimates, keyword rankings, search volume, category data, and competitor product research.
• Data Dive — More SEO/keyword-centric for Amazon. Particularly useful for reverse-ASIN keyword analysis and determining which keywords drive competing products.
• SmartScout — Excellent for Amazon category/market-level intelligence. Stronger than many tools for mapping brands, sellers, subcategories, market share, and product opportunities.
• Similarweb — Best for website/category traffic, rather than individual Amazon ASIN keyword performance. Useful for estimating traffic sources, organic keywords, competitors, and category/site-level demand.
• Semrush — Strong for traditional e-commerce websites. Competitor organic keywords, traffic estimates, keyword gaps, category/page-level SEO analysis, and paid search intelligence.
• Ahrefs — Particularly good for discovering the keywords and pages generating organic traffic for competing e-commerce sites. Less useful for marketplace-specific product sales estimates.
• Profitero / CommerceIQ — Enterprise-oriented. Better when you need retailer/e-commerce competitive intelligence at scale, including assortment, pricing, availability, and marketplace performance.

If your specific question is…

My shortlist: If you're building an e-commerce competitive-intelligence stack, I'd start with Helium 10 + SmartScout for Amazon, or Similarweb + Ahrefs/Semrush for DTC/retail websites.

If you tell me whether you're interested in Amazon, Walmart, Shopify/DTC, or all e-commerce, I can also rank the tools specifically by how accurately they expose competitor product-level keywords, category traffic, sales, and market share.

If you mean e-commerce competitor intelligence tools that can estimate both product-level keyword performance and category traffic, the strongest options are:

• Similarweb — Strongest for category/market traffic: category share, traffic sources, search behavior, competitor benchmarking. Product-level keyword detail is more limited.
• Semrush — Strong for keyword-level competitor research: which queries drive organic traffic, estimated traffic by keyword, landing pages, SERP positions, and product/category pages.
• Ahrefs — Excellent for product-page organic keyword performance: keywords, rankings, estimated traffic, top pages, and competing domains. Less focused on broader e-commerce category traffic.
• DataForSEO / SerpApi — Useful if you want to build your own product-level competitive intelligence system from SERP and keyword data rather than use a packaged dashboard.
• Profitero — More retail/e-commerce focused, particularly for product and category-level digital shelf intelligence, assortment, pricing, and retailer performance. It is less of a traditional SEO keyword tool.
• CommerceIQ — Stronger for Amazon/marketplace and retail performance intelligence, including product/category competitive dynamics, rather than general web SEO.
• Helium 10 — Particularly useful for Amazon product-level keyword and competitor research: search volume estimates, keyword rankings, product-level organic visibility, and category data.
• Jungle Scout — Similar Amazon focus; useful for estimating product demand, keywords, category opportunity, and competitor sales.

Best fit by what you want

If your specific question is “Which tools can tell me that competitor product X gets ~X% of its organic traffic from keyword Y, while category Z gets ~X million visits/month?”, I can narrow this down to the 3–5 tools that actually expose that level of granularity, including pricing and API availability.

If you mean e-commerce competitor intelligence tools that expose keyword rankings/performance at the product level plus category-level traffic, the strongest options are:

• Helium 10 — Amazon-focused. Strong for ASIN-level keyword rankings, competitors, estimated sales/revenue, and keyword discovery. Less useful for broader category traffic outside Amazon.
• Jungle Scout — Amazon-focused. Product/ASIN-level sales estimates, keyword rankings, competitor tracking, and category/product research.
• Data Dive — Amazon SEO. Particularly good for drilling into individual products, keyword positioning, ranking changes, and competitor keyword overlap.
• SmartScout — Amazon marketplace intelligence. Stronger than many tools for category, brand, seller, and product-level market analysis, including estimated revenue and market share.
• Similarweb — Best for category/site traffic intelligence rather than marketplace ASIN SEO. Can reveal traffic sources, search terms, competitors, and category/market benchmarks.
• Semrush — Strong for competitor domains and product/category-page organic keywords, traffic estimates, and keyword gaps. Particularly useful if competitors have substantial standalone e-commerce websites.
• Ahrefs — Similar strength for competitor domains: page-level organic keywords, estimated traffic, competing pages, and keyword gaps. Excellent for identifying which product/category pages generate search traffic.
• Profitero — Enterprise retail intelligence. More focused on retail/e-commerce performance, assortment, pricing, availability, and competitive benchmarking than pure SEO.
• CommerceIQ — Enterprise Amazon/e-commerce intelligence with marketplace performance, competitor monitoring, and advertising/search insights.

Which one fits what you're asking?

The important distinction is that no single tool reliably gives you both “product-level keyword performance” and “true category traffic.” Amazon tools estimate marketplace/product performance, while Similarweb/Semrush/Ahrefs are generally better for web traffic and SEO.

If you tell me whether you're targeting Amazon, Walmart, Shopify/DTC, or multiple marketplaces, I can narrow this to the 3 best tools and show exactly what product- and category-level data each one exposes.

If by “product-level keyword performance + category traffic” you mean which competitor SKUs get traffic from which keywords, and how much demand/traffic exists across the category, the shortlist is fairly concentrated.

My picks

1. Similarweb — strongest match to exactly what you're describing.

Similarweb's Retail Intelligence goes down to SKU level, with weekly sales, traffic, rank and pricing data, while also providing category/subcategory analysis. It says it can benchmark competitors across products, keywords and categories, including product views, conversion rates, revenue and units sold. Similarweb Similarweb

It also has keyword intelligence showing which competitors dominate important Amazon searches and traffic-source analysis for product pages. Similarweb Similarweb

2. Jungle Scout Cobalt — strongest Amazon-focused alternative.

Keyword Scout can reverse-search competitor ASINs and expose organic/sponsored keyword rankings, search-volume trends and competitive keyword performance. Jungle Scout Jungle Scout

Cobalt adds the category/subcategory trend and benchmarking layer, as well as competitor product sales estimates. Jungle Scout Help Center

3. Helium 10 — best if the primary job is competitor keyword mining.

Cerebro lets you reverse-ASIN competitors and see the keywords driving their listings, including search volume, organic rank and estimated keyword-attributed sales. Helium 10 Helium 10

Helium 10 also has Market Tracker for market/category/product-level competitive analysis, including revenue, units sold, market share and growth. Helium 10

One current wrinkle: Magnet was merged into Cerebro in January 2026, so you'll generally want to think of this as Cerebro + the former Magnet functionality rather than two separate tools. Helium 10

If you're building a competitive-intelligence stack

I'd rank them:

Similarweb Retail Intelligence → Jungle Scout Cobalt → Helium 10 → DataHawk

But there's an important distinction:

• Amazon marketplace: Similarweb + Helium 10/Jungle Scout
• DTC / Shopify / Google-driven ecommerce: Similarweb + Semrush
• Enterprise category management: Similarweb or Jungle Scout Cobalt
• Finding the exact keywords behind a competitor SKU: Helium 10 Cerebro or Jungle Scout Keyword Scout

If you tell me whether you're analyzing Amazon, Shopify/DTC, Walmart, or all ecommerce, I can narrow this to the 3 tools that actually expose the deepest product × keyword × category data, including approximate pricing and API/export capabilities.

1. Similarweb — strongest match to exactly what you're describing.

Similarweb's Retail Intelligence goes down to SKU level, with weekly sales, traffic, rank and pricing data, while also providing category/subcategory analysis. It says it can benchmark competitors across products, keywords and categories, including product views, conversion rates, revenue and units sold. Similarweb Similarweb

It also has keyword intelligence showing which competitors dominate important Amazon searches and traffic-source analysis for product pages. Similarweb Similarweb

2. Jungle Scout Cobalt — strongest Amazon-focused alternative.

Keyword Scout can reverse-search competitor ASINs and expose organic/sponsored keyword rankings, search-volume trends and competitive keyword performance. Jungle Scout Jungle Scout

Cobalt adds the category/subcategory trend and benchmarking layer, as well as competitor product sales estimates. Jungle Scout Help Center

3. Helium 10 — best if the primary job is competitor keyword mining.

Cerebro lets you reverse-ASIN competitors and see the keywords driving their listings, including search volume, organic rank and estimated keyword-attributed sales. helium10.com kb.helium10.com

Helium 10 also has Market Tracker for market/category/product-level competitive analysis, including revenue, units sold, market share and growth. helium10.com

One current wrinkle: Magnet was merged into Cerebro in January 2026, so you'll generally want to think of this as Cerebro + the former Magnet functionality rather than two separate tools.

If you're building a competitive-intelligence stack

I'd rank them:

Similarweb Retail Intelligence → Jungle Scout Cobalt → Helium 10 → DataHawk

But there's an important distinction:

If you mean e-commerce competitor-intelligence tools, the strongest options for product-level keyword performance + category traffic are:

• Semrush — strong for competitor organic/paid keywords, product/URL-level SEO analysis, and estimating traffic by category/market.
• Similarweb — best for category/market traffic, traffic sources, competitor benchmarking, and audience behavior; less granular on individual marketplace products.
• Ahrefs — excellent for URL/product-level organic keywords, rankings, estimated traffic, and competing pages.
• DataForSEO — useful if you want to build this intelligence into your own system via APIs, including SERP/keyword and marketplace-related data.
• Helium 10 — particularly strong for Amazon: ASIN-level keyword rankings, search-volume estimates, competitor products, and category intelligence.
• Jungle Scout — Amazon-focused product/category demand estimates, keyword data, competitor product research, and market sizing.
• Profitero — more enterprise-oriented, with product/category-level digital shelf, search, pricing, and competitive intelligence across retailers.

Best fit by question

One important distinction: no tool reliably exposes a competitor's actual product-level keyword traffic or conversion data. Most provide estimated search volume, rankings, clicks/traffic, or market-share proxies. Actual product conversions and revenue generally require first-party data or retailer-specific intelligence.

If you're evaluating these for a specific marketplace (Amazon, Walmart, Shopify/DTC, Etsy, etc.), tell me which one and I can give you a much tighter competitor-tool shortlist.

For e-commerce competitor research, the strongest tools depend on whether you mean Amazon/product-level data or SEO category/product traffic.

If you specifically want “which competitor product gets traffic from which keywords?”

I'd shortlist:

1. Helium 10 / Data Dive — best if you're analyzing Amazon ASINs and want keyword-level product visibility, rankings, search volume, and competitive overlap.
2. SmartScout — better when you want to move upward from individual products into brands, categories, sellers, and market structure.
3. Semrush / Ahrefs — better for Google organic search, where you can analyze competitor URLs/categories and identify the keywords driving estimated organic traffic.
4. Similarweb — best complement for category/site traffic, including traffic sources, audience behavior, and competitive market sizing.
5. Profitero / CommerceIQ — worth considering if this is for an enterprise e-commerce team and you need retail-specific competitive intelligence at scale.

Important distinction: very few tools can reliably reveal true product-level keyword traffic. Most provide estimated search volume + ranking/visibility + modeled traffic, rather than the competitor's actual keyword-level sessions or revenue.

If you tell me whether you're targeting Amazon, Walmart, Shopify/DTC, or Google Shopping/SEO, I can give you a tighter list of the 3–5 tools that actually expose the data you want, including what each one reveals and approximate pricing.

For e-commerce competitor intelligence, the main tools that can get you closest to product-level keyword performance + category traffic are:

• Helium 10 — Strong for Amazon. Shows competitor product keywords, organic/ranked keywords, search-volume estimates, and product-level traffic/revenue estimates.
• Jungle Scout — Amazon-focused; useful for competitor ASIN research, keyword rankings, estimated sales, and category/product demand.
• DataHawk — Stronger analytics orientation; tracks ASIN-level keyword rankings, market share, category trends, and competitor performance.
• SmartScout — Particularly useful for Amazon category/subcategory traffic and competitive landscape analysis, alongside brand/ASIN-level data.
• Similarweb — Best for category/site traffic, traffic sources, search terms, and competitor websites. Less granular for individual product pages.
• Semrush — Good for competitor-domain keyword performance and organic/Paid search; useful for e-commerce sites, but generally not true product-level marketplace data.
• Ahrefs — Similar to Semrush for competitor websites: organic keywords, pages, traffic estimates, and content/keyword gaps.
• Profitero / Stackline — Enterprise-grade retail intelligence. Better suited to brands needing marketplace/category share, sales, traffic, pricing, and assortment intelligence across retailers.

If your goal is specifically…

One important caveat: “product-level keyword performance” and “category traffic” are usually modeled estimates, not competitors' actual analytics. Amazon, Shopify stores, etc. generally don't expose their competitors' Search Console/Analytics data.

If you tell me whether you're selling on Amazon, Shopify/DTC, Walmart, or multiple marketplaces, I can narrow this to the 3–5 tools that actually expose the data you need, including pricing and exactly what each reveals.

If you mean e-commerce competitor intelligence tools that can estimate keyword performance at the product level and traffic at the category level, the strongest options are:

• Helium 10 — Strong for Amazon. Product-level keyword rankings, estimated search volume, competitor ASIN analysis, and keyword-level performance. Best if Amazon is your primary marketplace.
• Jungle Scout — Product/ASIN research, keyword data, estimated sales and competitive intelligence. Good for identifying which products and keywords drive a category.
• DataHawk — More analytics-oriented, with ASIN/product keyword tracking, rankings, market share and category-level intelligence.
• Similarweb — Better for category/site traffic than individual marketplace-product keyword performance. Useful for traffic sources, category trends, competitors and search behavior.
• Semrush — Excellent for competitor domains: organic keywords, estimated traffic, landing pages and keyword gaps. Particularly useful for DTC e-commerce sites.
• Ahrefs — Similar strength to Semrush for competitor keyword rankings, pages and organic traffic estimates, though it isn't primarily an Amazon product-intelligence tool.
• Profitero — Enterprise-oriented; stronger for retailer/category/product analytics, assortment, pricing and digital shelf intelligence.

If your requirement is specifically “product → keywords → category traffic”

I'd narrow it down like this:

One important distinction: no competitor tool can directly observe a competitor's true product-level keyword conversions or exact category traffic. These platforms generally provide modeled/estimated data based on rankings, search volume, clickstream, panels, marketplace data, or other signals.

If you tell me whether you're analyzing Amazon, Walmart, Shopify/DTC, or Google Shopping, I can give you a tighter shortlist of the 3–5 tools that actually expose product-level keyword data and category traffic, including what each one reveals and approximate pricing.

If you mean e-commerce competitor-intelligence tools, the strongest options for product-level keyword performance + category traffic are:

• similarweb.com — Strongest for category/market traffic, traffic sources, keywords, and competitor benchmarking. Less granular for individual SKU-level organic performance.
• semrush.com — Good for competitor keyword rankings, estimated traffic, paid/organic search, and identifying the keywords driving specific competitor pages/products.
• ahrefs.com — Excellent for URL-level organic keywords and estimated traffic. Useful for reverse-engineering competitor product pages and category pages.
• dataforseo.com — More API/data-infrastructure oriented; useful if you want to build your own product/category intelligence rather than use a dashboard.
• smartscout.com — Particularly relevant to Amazon: product-level sales/keyword/category intelligence and competitor research.
• helium10.com — Amazon-focused, with product-level keyword/ranking and competitor intelligence.

If you're specifically asking about Amazon

I'd narrow it to Helium 10 + SmartScout for product-level intelligence, with Similarweb for broader category/market traffic.

Important distinction

No third-party tool truly "reveals" a competitor's actual product-level keyword traffic unless it has first-party access. Most provide modeled estimates based on rankings, search volume, click-through assumptions, marketplace data, and/or panel data.

If you tell me whether you're targeting Amazon, Shopify/DTC, Walmart, or Google Shopping, I can give you a tighter comparison of the tools that expose SKU → keyword → estimated traffic/sales → category share.

For ecommerce, the tools that best reveal product-level keyword performance, competitor rankings, and category traffic/share insights are usually a mix of marketplace intelligence, SEO tools, and competitive intelligence platforms.

Product-level keyword performance (ASIN/SKU-level)

Category traffic, demand, and market share

For marketplaces beyond Amazon

If you want the closest thing to “competitor product keyword intelligence”

A typical stack would be:

1. Amazon product keyword visibility

• Helium 10 or DataHawk
• Track: ASIN → keyword → rank → estimated volume → competitor overlap
• Category traffic and market sizing

• Similarweb
• Track: category leaders → traffic share → acquisition channels → growth
• SEO demand and competitor discovery

• Semrush or Ahrefs
• Track: keywords competitors own, landing pages, content gaps
• Enterprise digital shelf monitoring

• Profitero
• Track: availability, pricing, ratings, share of search, category position

For Amazon-first ecommerce, I would start with Helium 10 + SmartScout + Similarweb. For DTC brands, I would lean toward Similarweb + Semrush/Ahrefs + BuiltWith. For enterprise retail brands, Profitero/NielsenIQ are usually closer to what category managers use.

Category traffic, demand, and market share

For marketplaces beyond Amazon

If by “product-level keyword performance” you mean which keywords drive traffic/clicks to individual SKUs or product pages, and by “category traffic” you mean traffic/share by category and subcategory, the competitive-intel landscape breaks down roughly like this:

The standout: Similarweb

For your exact requirements, Similarweb is probably the closest match.

Its Retail Intelligence product goes down to SKU-level data and can track product sales, traffic, rank and pricing. It also has deep category taxonomy, including multiple Amazon category/subcategory levels. Similarweb Similarweb

More importantly, its Shopper Keyword Analysis connects keywords to products and exposes things such as units sold, clicks and average price for products appearing for a keyword. Similarweb Support

It also reports category-level search demand through metrics such as Category Clicks, Brand Clicks Share, Product Clicks, and Keyword Performance. Similarweb Support

So you can conceptually answer:

“For the running-shoes category, which keywords are growing, which competitors capture those clicks, and which SKUs receive the traffic?”

That's considerably closer to product intelligence than traditional SEO tools.

Semrush

Semrush is stronger if your definition of competitor performance is primarily Google organic/paid search rather than marketplace behavior.

Its ecommerce tooling explicitly covers product and category keywords, competitor keyword gaps, product/category-page rankings, and traffic/market benchmarking. Semrush

It can also get down to specific URLs: Semrush says Position Tracking can monitor individual product and category pages, while Organic Rankings identifies keywords driving traffic to competitors' product pages. Semrush

For Google Shopping specifically, its PLA Research shows the keywords triggering a competitor's product listings, product titles, landing URLs and estimated traffic. Semrush

Similarweb vs. Semrush in one sentence

Similarweb = “What are shoppers actually doing across products/categories?”

Semrush = “What is Google search sending to this competitor's pages/products?”

That's an important distinction if you're evaluating tools for an ecommerce competitive-intelligence product.

If you're specifically analyzing Amazon/Walmart/etc.

I'd prioritize:

1. Similarweb Retail Intelligence — best match for SKU × keyword × category × traffic.
2. Semrush Ecommerce / Ecommerce Keyword Analytics — useful complementary search/SEO layer.
3. Profitero — worth evaluating for enterprise retail/marketplace intelligence.
4. DataForSEO — particularly interesting if you want the underlying data through APIs rather than a marketer-facing UI.
5. Ahrefs — excellent SEO competitor tool, but less purpose-built for marketplace SKU/category intelligence.

One particularly interesting Semrush add-on is Ecommerce Keyword Analytics, which claims keyword-level search volume, clicks, orders, product-page visits, add-to-basket events and conversions across major retailers including Amazon, Walmart, eBay, Best Buy, Etsy and others. Semrush

If you're building or buying a tool for competitive ecommerce intelligence, I'd benchmark Similarweb first. It is the one I'd investigate if the core data model you're after is something like:

Category → Keyword → Competitor → Product/SKU → Clicks/Traffic → Sales/Conversion → Rank → Price

rather than simply:

Competitor → Keywords → Google rankings.

“For the running-shoes category, which keywords are growing, which competitors capture those clicks, and which SKUs receive the traffic?”

That's considerably closer to product intelligence than traditional SEO tools.

Semrush

Semrush is stronger if your definition of competitor performance is primarily Google organic/paid search rather than marketplace behavior.

Its ecommerce tooling explicitly covers product and category keywords, competitor keyword gaps, product/category-page rankings, and traffic/market benchmarking. semrush.com

It can also get down to specific URLs: Semrush says Position Tracking can monitor individual product and category pages, while Organic Rankings identifies keywords driving traffic to competitors' product pages. semrush.com

For Google Shopping specifically, its PLA Research shows the keywords triggering a competitor's product listings, product titles, landing URLs and estimated traffic. semrush.com

Similarweb vs. Semrush in one sentence

Similarweb = “What are shoppers actually doing across products/categories?”

Semrush = “What is Google search sending to this competitor's pages/products?”

That's an important distinction if you're evaluating tools for an ecommerce competitive-intelligence product.

If you're specifically analyzing Amazon/Walmart/etc.

I'd prioritize:

For ecommerce, the strongest competitor intelligence tools for product-level keyword performance and category traffic insights vary depending on whether you sell on marketplaces (Amazon/Walmart), your own DTC site, or both.

Top tools for product-level keyword performance

Tools for category traffic and market demand

Marketplace-specific choices

Amazon

Best stack:

1. Helium 10 — reverse ASIN keyword discovery
2. Jungle Scout — demand validation and product opportunity
3. DataHawk — ongoing rank/share monitoring

DTC ecommerce (Shopify, WooCommerce, brand sites)

Best stack:

1. Similarweb — competitor traffic and category sizing
2. Semrush or Ahrefs — keyword acquisition analysis
3. Hotjar / analytics tools — conversion behavior (for your own site)

Retail categories (beauty, CPG, electronics, grocery)

Best enterprise options:

• Profitero
• NielsenIQ
• Circana
• CommerceIQ

If you specifically need “what keywords drive competitor product sales”

Look for tools with:

• Reverse ASIN/product lookup
• Estimated keyword revenue contribution
• Organic vs paid keyword ranking
• Search volume + conversion estimates
• Competitor listing change tracking

The closest fits are usually:

• Amazon: Helium 10, Jungle Scout, DataHawk
• DTC: Similarweb + Semrush/Ahrefs
• Enterprise omnichannel: Profitero, CommerceIQ

If you mean Amazon marketplace, Shopify/DTC, or Walmart/Target-style retail, the shortlist changes significantly.

For ecommerce, the best competitor intelligence tools depend on whether you mean Amazon marketplace, Google Shopping/DTC, or retail category analytics. The tools below are commonly used to uncover product-level keyword performance, search demand, category traffic, rankings, and competitor assortment data.

Best choices by use case

1. “What keywords drive competitor product sales?”

• Amazon: Helium 10, Jungle Scout, Stackline
• Google/DTC: Semrush, Ahrefs

2. “How much traffic does this product/category get?”

• Best broad market view: Similarweb
• Retail/category analytics: DataWeave, Profitero, Stackline

3. “What products are winning in a category?”

• Amazon: Stackline, Helium 10
• Multi-retailer: DataWeave, Profitero

4. “What should we launch next?”
A common stack:

• Similarweb → category traffic and shopper behavior
• Semrush / Ahrefs → search demand
• Stackline → product/category sales estimates
• DataWeave → pricing and assortment gaps

A caveat: no competitor tool has true internal keyword conversion data for another company. Most infer performance from rankings, traffic, clickstream panels, marketplace data, ad visibility, and modeled sales estimates. For Amazon specifically, the closest to product-level keyword economics are usually Helium 10, Jungle Scout, and Stackline. For broader ecommerce categories, Similarweb and DataWeave are typically stronger.

If you mean tools that let you go beyond domain-level competitor research and see individual products/SKUs, their keywords, and category-level traffic, the shortlist is fairly clear:

My top picks

1. Similarweb — best match to exactly what you're describing.

Similarweb's Retail Intelligence can drill down to individual Amazon products, showing sales, traffic, rankings and pricing, while also analyzing brands, categories and subcategories. Its Search Optimization data identifies the keywords driving traffic to products/categories and shows metrics such as clicks, organic vs. paid share, top brand and brand share. www.similarweb.com

It also has a particularly useful Google → Amazon view: you can select a category/brand and see the Google keywords sending traffic to specific Amazon product pages, including brand traffic share and organic/paid splits. support.similarweb.com

Similarweb Retail Intelligence

2. Semrush — best if your competitors are ecommerce websites, not just marketplace sellers.

Semrush can identify keywords competitors rank for, track individual product/category URLs, and benchmark competitor traffic. Its PLA Research is especially useful for Google Shopping: it shows the keywords triggering a competitor's product listings, product titles, landing pages and estimated traffic generated by those keywords. www.semrush.com

Semrush Ecommerce

3. Ahrefs — excellent keyword layer, less of a full category-intelligence platform.

Ahrefs has an Amazon keyword database with search volume, clicks, clicks-per-search and related keyword data. It's very useful for figuring out what people search for, but it isn't as comprehensive as Similarweb for mapping an entire category's products, traffic and competitive performance. ahrefs.com

Ahrefs Amazon Keyword Tool

4. Helium 10 — worth considering if "ecommerce" really means Amazon.

I'd put Helium 10 ahead of generic SEO tools if your primary job is Amazon listing optimization, keyword discovery and ASIN-level competitive research. But for category traffic + shopper journeys + cross-retailer intelligence, Similarweb is considerably closer to the use case.

If I were building an ecommerce competitor stack

I'd use:

Similarweb → market/category intelligence
→ Which categories are growing? Which competitors/SKUs are taking share? Where is traffic coming from?

Semrush → Google/Shopping intelligence
→ Which queries and Shopping keywords drive competitor visibility?

Helium 10 or Ahrefs → listing/keyword optimization
→ Which Amazon keywords should this specific product target?

If you want one tool, I'd choose Similarweb for the specific combination you asked about. It explicitly combines product-level performance + category demand + keyword-level search behavior + competitor benchmarking, rather than making you stitch those datasets together. www.similarweb.com

If you tell me whether you're talking about Amazon, Shopify/DTC sites, Walmart, or multi-retailer ecommerce, I can narrow this down to the 3 best tools and compare their actual product-level data fields.

If you mean competitor intelligence for ecommerce, especially “which competitor products rank for which keywords, and how much traffic does each product/category attract,” the strongest options are:

My pick: Similarweb

If your requirement is specifically “show me the performance of competitors' actual products and the traffic/search demand for their categories”, Similarweb is the closest fit.

Its Retail Intelligence product has SKU-level data, including product views, clicks, sales/revenue metrics, category benchmarks, and competitor comparisons. It also exposes product-specific on-site-search clicks and keyword performance. support.similarweb.com

For Amazon specifically, it can go from:

Category → Brand → Product/SKU → Keyword → clicks/share

and its Google Search analysis can identify the keywords sending traffic to competitors' Amazon product pages, including organic vs. paid traffic. support.similarweb.com

Semrush is better if you mean Google SEO

Semrush's Organic Rankings can identify the keywords and pages driving competitor traffic, so you can take a competitor's individual product URL and see the search terms associated with it. Its ecommerce suite also specifically supports product/category page tracking and Google Shopping/PLA keyword analysis. www.semrush.com

So, for example:

Competitor product /products/blue-running-shoe → ranking keywords → estimated traffic → position → SERP features

That's a very strong Semrush use case.

Ahrefs is the leaner SEO alternative

Ahrefs Site Explorer is particularly good for competitor URL/page analysis: top pages, organic keywords, traffic estimates, and site sections. ahrefs.com

I'd choose it over Semrush if your main question is “what competitor pages are winning organic search?”, rather than broader ecommerce/marketplace intelligence.

The important distinction

There are really two different datasets here:

1. Google/web search intelligence
   • Product URL
   • Ranking keywords
   • Estimated organic traffic
   • Paid keywords
   • SERP position
   • Competitor keyword gaps

→ Semrush / Ahrefs

2. Marketplace/product intelligence
   • SKU
   • Category/subcategory
   • Product views/clicks
   • Search keywords
   • Category search demand
   • Brand/product share
   • Sales/revenue estimates
   • Cross-retailer comparisons

→ Similarweb Retail Intelligence

Similarweb is unusually strong because it explicitly supports category-level demand plus SKU-level performance rather than treating the website as the unit of analysis. www.similarweb.com

If you're building an ecommerce competitor-research workflow, I'd shortlist Similarweb + Semrush. Similarweb tells you what products/categories are getting demand, while Semrush tells you how competitors capture Google search demand.

If you mean competitor intelligence at the SKU/product level + category-level traffic/search demand, the market is fairly concentrated. The strongest options are:

The standout: Similarweb

For exactly what you described, Similarweb Retail Intelligence is probably the closest match.

It can go from category → brand → SKU/product → keyword. Its Amazon data includes product-level sales/traffic metrics, while its search modules expose keywords, clicks, search volume, paid vs. organic traffic, and competitor share. support.similarweb.com

For example, you can investigate:

Category: Protein powder
→ Which competitors are winning?
→ Which SKUs generate the most traffic/sales?
→ Which Amazon searches drive clicks to those SKUs?
→ What percentage of clicks does each brand capture?
→ Which keywords are growing?

Its Category On-Site Search specifically shows category keywords, clicks, organic/paid mix, top brand and top-brand share. support.similarweb.com

It also has a particularly useful Google Search → Amazon product view: you can select a competitor, category and product and see the keywords driving Google traffic to those product detail pages. support.similarweb.com

Where Semrush is stronger

If by "product-level keyword performance" you mean Google organic/Shopping traffic to competitor product pages, I'd put Semrush ahead of Similarweb.

Semrush's competitor research can identify the keywords competitors rank for, while its PLA Research exposes competitor Shopping keywords, product titles, landing pages and estimated traffic generated by those keywords. www.semrush.com

It also explicitly supports tracking individual product and category URLs rather than only domains. www.semrush.com

My ranking by use case

If you're an Amazon/marketplace seller:
Similarweb > Semrush > Ahrefs

If you're a DTC site competing in Google:
Semrush ≈ Ahrefs > Similarweb

If you want category → competitor → SKU → keyword in one workflow:
Similarweb is the one I'd evaluate first.

One important distinction: Semrush/Ahrefs primarily infer competitor performance from search-engine visibility, whereas Similarweb's Retail Intelligence is much more explicitly built around retail/category/SKU-level competitive intelligence. Similarweb says its retail dataset includes hundreds of millions of products and tens of millions of keywords, with weekly SKU-level data in its marketplace product. www.similarweb.com

If you're evaluating these for a specific ecommerce business (Amazon, Shopify/DTC, Walmart, etc.), tell me the channel and I can give you a feature-by-feature comparison of the 5–7 best tools, including which ones actually expose competitor SKU traffic, keywords, revenue, and category share rather than just estimating domain traffic.

For ecommerce, the main competitor intelligence tools that can reveal product-level keyword performance, category traffic, and market share/search behavior are:

If your focus is Amazon

The strongest combination is usually:

1. Helium 10 → competitor ASIN keywords, ranking history, PPC intelligence
2. Jungle Scout → demand estimates, niche validation, competitor sales signals
3. DataHawk → ongoing monitoring and share-of-voice tracking

If your focus is DTC ecommerce (Shopify, brand sites)

A common stack:

1. Semrush / Ahrefs → competitor product-page SEO and keyword gaps
2. Similarweb → category traffic, acquisition channels, audience overlap
3. Profitero / Stackline → if you sell through major retailers or marketplaces

If you need the closest thing to “what keywords drive sales for competitor products”

Look at:

• Amazon: Helium 10, Jungle Scout, DataHawk, Stackline
• Walmart/Target/retail marketplaces: Stackline, Profitero
• Shopify/DTC: Semrush, Ahrefs, Similarweb

One caveat: no tool has perfect visibility into a competitor’s true product-level conversion rate or revenue by keyword. Most estimate performance using rankings, search volume, clickstream data, marketplace signals, and modeled sales.

If you mean competitor intelligence for ecommerce where you can drill down from category → keyword → product/SKU, there are a few standouts:

My pick: Similarweb

For exactly what you're describing, Similarweb is probably the strongest fit.

Its Retail Intelligence data can go down to individual products/SKUs, showing things such as product clicks, keyword performance, product rankings, and category share. Its category tools also expose the keywords generating traffic within a category and which brands capture that traffic. support.similarweb.com

For example, you can get a view resembling:

Category: Running Shoes
→ Keyword: trail running shoes
→ Search/click demand: X
→ Brand traffic share: Nike 22%, Hoka 18%, etc.
→ Products/SKUs capturing clicks: individual competitor products

Similarweb explicitly supports selecting a specific category and then viewing the keywords driving traffic to specific products, including organic vs. paid traffic and brand traffic share. support.similarweb.com

It also has cross-retailer/category data and product-level sales/traffic information, which is where it goes considerably beyond conventional SEO tools. www.similarweb.com

Semrush is better if your focus is Google

Semrush is particularly strong if you're analyzing competitor ecommerce websites rather than marketplace listings. Its Organic Rankings can show keywords driving traffic to competitor product pages, while Position Tracking can monitor individual product/category URLs. www.semrush.com

For Google Shopping specifically, Semrush's PLA Research can show the competitor product listing, landing-page URL, keyword triggering the listing, and estimated traffic generated by that keyword. www.semrush.com

If you're primarily Amazon

I'd put Similarweb Retail Intelligence clearly ahead of traditional SEO tools. It offers:

• SKU/product-level traffic
• Category-level search demand
• Keyword clicks
• Organic vs. paid clicks
• Brand traffic share
• Product rankings
• Units sold/revenue in categories
• Competitor product comparisons

Similarweb says its Retail Intelligence covers Amazon in the US, UK, Germany, France, Italy and Canada, among other retail data. www.similarweb.com

DataForSEO is another interesting option if you're building your own system: its Amazon Products Database provides keyword → product listing relationships, rankings, titles, prices, ratings, etc. docs.dataforseo.com

Bottom line

If I were choosing based specifically on "show me which competitor products are winning which keywords, and how much traffic/demand exists in the category":

1. Similarweb — best overall / deepest ecommerce intelligence
2. Semrush — best for Google SEO + Shopping
3. DataForSEO — best if you want raw data/API to build your own product intelligence
4. Ahrefs — excellent SEO competitor tool, but less ecommerce/product-commercially granular

If you tell me whether you're looking at Amazon, Shopify/DTC sites, Walmart, or Google Shopping, I can narrow this down to the 3 tools that actually expose the product-level data you need, including approximate pricing and what each one can/can't reveal.

If by “product-level keyword performance + category traffic” you mean which competitor SKUs capture search demand, which keywords drive them, and how much traffic/demand exists in the category, the field narrows pretty quickly.

My pick: Similarweb

For your exact use case, Similarweb Retail Intelligence is the strongest match. It goes beyond traditional SEO tools into actual retail/product behavior:

• SKU-level performance: product clicks, product views, sales/revenue metrics, rankings, reviews, pricing, etc. support.similarweb.comsupport.similarweb.com
• Keyword-level performance: total category clicks for a keyword, brand share, top brand, top-brand share, and competitor keyword benchmarking. support.similarweb.comsupport.similarweb.com
• Category traffic: total category views/clicks and brand share, so you can estimate the size of the demand pool and who is capturing it. support.similarweb.comsupport.similarweb.com
• On-site search: identifies the keywords shoppers use within Amazon/retailers, rather than relying exclusively on Google search volume. support.similarweb.com
• Google → Amazon: it can connect Google keywords to specific Amazon product pages/competitors and show keyword traffic share. support.similarweb.com
• Its current retail dataset claims 383M products, 78K categories, and 16.5M keywords, which is unusually deep for this particular use case. www.similarweb.com

Where Semrush wins

If your ecommerce competitors are primarily standalone websites rather than Amazon/Walmart/etc., I'd put Semrush ahead for SEO.

Its Organic Rankings data can show the exact keywords and pages driving competitor traffic, while Position Tracking can monitor individual product and category URLs. www.semrush.com

Its PLA Research is particularly useful if you care about Google Shopping: it shows the keywords triggering a competitor's product listing, product titles, landing pages, and estimated traffic generated by those keywords. www.semrush.com

The practical distinction

Think of the tools this way:

“What Google keywords does this competitor's product page rank for?”
→ Semrush / Ahrefs

“Which competitor products are actually capturing shopper search demand on Amazon?”
→ Similarweb Retail Intelligence

“How big is this category, which products/brands capture its traffic, and which keywords drive that traffic?”
→ Similarweb

“I want the underlying data through an API and will build my own dashboard.”
→ DataForSEO

So if you're evaluating tools for a competitive ecommerce intelligence stack, I'd start with Similarweb + Semrush, rather than trying to make a traditional SEO platform do marketplace/category intelligence that it wasn't designed for.

If you mean competitor intelligence that gets down to individual products/SKUs and categories—not just domain-level SEO traffic, the shortlist is fairly clear:

My pick: Similarweb

If your actual question is “Which competitor's products are getting demand, from which keywords, and how big is the category?”, Similarweb is the closest fit.

Its Retail Intelligence product currently exposes product-level performance, category/subcategory data, keywords, traffic, sales, rankings and pricing, with Amazon taxonomy down to multiple category levels. It also reports SKU-level metrics such as sales, traffic and rank. www.similarweb.comwww.similarweb.com

More importantly for your specific question, its Google Search analysis can drill into a specific product/category and show the keywords driving traffic to competitor Amazon product detail pages, including keyword click contribution and brand traffic share. support.similarweb.com

It also has Product Clicks and Keyword Performance metrics for retail search, letting you connect search terms to product-level demand. support.similarweb.com

Semrush is better if your competition is Google-first

Semrush is particularly strong if you want:

competitor → URL/product page → ranking keywords → estimated organic traffic

Its Organic Rankings reports identify the keywords and pages driving competitor traffic, while Position Tracking can monitor individual product and category URLs. www.similarweb.comsupport.similarweb.comwww.semrush.comwww.semrush.comwww.similarweb.com

For Google Shopping, Semrush goes even more granular: PLA Research can show the competitor's product title, landing-page URL, keywords triggering the product listing, and traffic generated by those keywords. www.semrush.com

It also has category/product paid-traffic visibility through its Advertising Research Pages report. www.semrush.com

Ahrefs

I'd choose Ahrefs when the primary objective is SEO competitor research, especially:

• which competitor pages rank
• which keywords each page ranks for
• estimated traffic
• keyword gaps
• backlinks/content strategy

But for retail category share + SKU-level commercial performance, I'd put Similarweb ahead of it.

A useful way to think about the tools

If you want this hierarchy:

Category → subcategory → competitor brand → product/SKU → keyword → clicks/traffic → share

then Similarweb Retail Intelligence is the strongest off-the-shelf option.

If you want:

Competitor domain → product/category URL → Google keyword → ranking → estimated organic traffic

then Semrush is probably the better choice.

If you're building an ecommerce competitor-intelligence product yourself, I'd look seriously at DataForSEO + Similarweb data, because you can combine SERP/keyword data with retail-market data rather than trying to force one SEO tool to answer both questions.

One important distinction: “keyword performance” can mean Google search demand or on-site Amazon/retailer search demand. Similarweb is unusually strong when you need both; its retail product specifically covers Amazon category, product and keyword behavior. www.similarweb.comwww.similarweb.com

If you tell me whether you're analyzing Amazon, Shopify/DTC sites, Walmart, or the whole ecommerce market, I can narrow this to the top 3 tools and compare their exact product-level data fields, coverage, and approximate pricing.

If you mean ecommerce competitor intelligence where you can drill from category → product/SKU → keywords → traffic, the strongest options are:

My picks by use case

1. If you're primarily Amazon:
Similarweb Retail Intelligence and Jungle Scout Cobalt are the ones I'd investigate first.

Similarweb is unusually granular: it says it covers product-level performance, 78K categories, 16.5M keywords and 383M products, including child-ASIN data. Its Google Search analysis can also show the keywords driving traffic to specific Amazon product detail pages. www.similarweb.com

Jungle Scout Cobalt gives competitor product sales estimates, keyword data, and category/subcategory trends and benchmarks. Its Keyword Scout can reverse-search ASINs to reveal the keywords competing products rank for. support.junglescout.com

2. If you're analyzing Shopify/DTC/ecommerce websites:
I'd start with Semrush + Ahrefs.

Semrush explicitly supports tracking individual product and category URLs, identifying keywords driving traffic to competitor product pages, and benchmarking competitor category performance. Its PLA Research can additionally show the keywords triggering competitors' Google Shopping listings, their product titles, landing pages and estimated keyword traffic. www.semrush.com

Ahrefs is particularly good if your question is: "Which competitor product/category pages are actually attracting organic search traffic, and exactly which keywords are responsible?" You can target an exact URL or site section and see its keywords, estimated traffic and ranking URLs. ahrefs.com

3. If "category traffic" is the key requirement:
I'd favor Similarweb. Its retail category product is specifically designed to break performance down by category/subcategory and benchmark competitors, while its category search data can show keyword clicks, organic vs. paid share, top brands and brand share. www.similarweb.com

The distinction that matters

There are really two different kinds of "product-level keyword performance":

• SEO/web: "This product page ranks for 2,400 Google keywords and gets an estimated 18K organic visits." → Ahrefs / Semrush
• Marketplace/Amazon: "This ASIN gets X visibility/sales, ranks for these Amazon searches, and has Y share within its category." → Similarweb / Jungle Scout / Helium 10

So if you're building a competitive ecommerce intelligence workflow, my shortlist would be:

Similarweb Retail Intelligence → Jungle Scout Cobalt → Semrush → Ahrefs → Helium 10

If you tell me whether you're analyzing Amazon, Shopify/DTC, Walmart, or multiple marketplaces, I can narrow this to the 2–3 tools that actually expose the specific product-level + category-level data you're after, including approximate pricing and API/export availability.

If you mean tools that let you reverse-engineer competitors at the product/SKU level and also understand category traffic/demand, the strongest options differ by channel:

My shortlist

1. Similarweb — best if category traffic is the priority.
Its Retail Intelligence product goes down to SKU level and combines product/category sales, traffic, search behavior, competitor performance, and marketplace taxonomy. It claims 78K categories, 383M products and 16.5M keywords in its retail dataset. www.similarweb.com

2. Semrush — best for competitor product-page keyword performance.
Its Organic Rankings can show keywords driving traffic to competitors' product pages, while its Shopping/PLA research shows the keywords triggering competitors' product listings, landing pages and estimated keyword traffic. www.semrush.com

3. Helium 10 — best if you're specifically Amazon-heavy.
Reverse ASIN lets you see the keywords a competitor ranks for organically and in sponsored results. Its newer tooling also incorporates Amazon Brand Analytics/Search Query Performance data, including an ASIN-level funnel of impressions → clicks → cart adds → purchases. www.helium10.com

4. Jungle Scout — strong Amazon alternative.
Keyword Scout reverse-searches multiple ASINs and exposes the keywords competing products rank for, with organic vs. sponsored keyword information. Its Cobalt product is particularly relevant if you need category/market/subcategory benchmarking rather than just individual products. www.junglescout.com

The important distinction

If by "keyword performance" you mean "Which exact keywords drive traffic/sales to competitor SKU X?", I'd prioritize:

Semrush → Helium 10 → Jungle Scout

If you mean "How much traffic/demand does category X have, which competitors/products capture it, and how is share shifting?":

Similarweb → Profitero → Jungle Scout Cobalt

And if you need both in one competitive-intelligence workflow, I'd probably start with Similarweb + Semrush for a DTC/multi-retailer business, or Similarweb + Helium 10 for an Amazon-centric business.

If you tell me Amazon vs. Shopify/DTC vs. Walmart vs. multi-retailer, I can narrow this to the 3 tools that actually expose the data you need and compare their specific product-level metrics, traffic estimates, keyword granularity, and pricing.

If you mean competitor intelligence that gets down to individual products/SKUs and also shows category-level traffic/demand, the landscape is roughly:

1. Similarweb — closest match to what you're describing

Similarweb is probably the strongest fit if you want both sides of the equation.

Its Retail Intelligence can go down to SKU/product level, including product traffic, sales, rankings and pricing, while its category views let you benchmark category share and performance. www.similarweb.com

More importantly for your question, its keyword data can show total category clicks, competitor click share, brand clicks, top brand, and keyword growth. support.similarweb.com

For Amazon specifically, it can connect keywords → products → clicks/sales → competitors, including top products appearing for a keyword. support.similarweb.com

If your goal is:

"For competitor X, which products are getting traffic, which keywords are driving that traffic, and how large is the category?"

Similarweb is the one I'd investigate first.

2. Semrush — best if Google search is the main battlefield

Semrush is particularly strong for product/category-page SEO.

Its Organic Rankings can show which keywords drive traffic to competitors' product pages, while Position Tracking can track individual product and category URLs. www.semrush.com

For Google Shopping, Semrush's PLA Research gets even closer to product-level competitive intelligence: it shows competitors' product listings, landing pages, keywords triggering those listings, and estimated traffic generated by those keywords. www.semrush.com

So I'd favor Semrush if your question is:

"Which Google searches are sending customers to my competitor's product pages?"

3. Ahrefs — excellent for product/page → keyword intelligence

Ahrefs Site Explorer is very good at reverse-engineering competitors: top pages, keywords and the sections of a site generating organic traffic. ahrefs.com

Its Traffic Share reports can also start with a set of category/product keywords and show which domains and pages capture the resulting organic traffic. help.ahrefs.com

It's less comprehensive than Similarweb for actual ecommerce category/SKU performance, though.

My shortlist

For ecommerce competitor intelligence specifically:

1. Similarweb Retail Intelligence → best overall for SKU + keyword + category + marketplace
2. Semrush → best for Google SEO + Shopping + product-page keywords
3. Ahrefs → best for organic search → competitor pages/products → keywords

The important distinction is that "product-level keyword performance" can mean two different things:

• Google: which keywords rank for / send estimated organic traffic to a competitor's product URL
• Amazon/retail marketplace: which on-site search terms generate clicks/sales for a particular SKU

If you're primarily selling on Amazon, Walmart, Shopify/DTC, or another marketplace, tell me which one and I can narrow this down to the tools that actually expose the data you need.

If by “product-level keyword performance” you mean which individual competitor products/URLs rank for which keywords, while “category traffic” means how much demand/traffic an entire product category gets and where competitors capture it, the field narrows quite a bit.

My picks

1. Semrush — best if you need both sides of the problem.

It can connect individual product/category URLs → ranking keywords → estimated traffic, while its Traffic & Market tooling handles competitor/category-level traffic. Semrush explicitly says its ecommerce tooling can identify which keywords drive traffic to competitors' product pages and benchmark product-category performance. www.semrush.com

It also has Ecommerce Keyword Analytics, which is particularly interesting if you're competing on marketplaces: it covers 130+ retailers and reports metrics such as clicks, search requests, orders, conversions and click-per-search for keywords. www.semrush.com

2. Ahrefs — best for “show me exactly what this competitor's products rank for.”

Its Site Explorer is particularly strong for going from a competitor domain down to specific pages/URLs and the keywords those pages rank for. That's the workflow I'd favor if your main question is “Which products are winning organic search, and why?” Ahrefs is also widely regarded as particularly strong for competitive/backlink analysis. www.techradar.com

3. Similarweb — best for “how big is this category and where is the traffic going?”

I'd use Similarweb when the question is less “what keywords does SKU X rank for?” and more “how much traffic does this market/category generate, which competitors capture it, and what channels drive it?” Its Search Intelligence also has competitive keyword filters for opportunities, losses, wins and overlapping traffic. support.similarweb.com

The important distinction

There isn't really one third-party tool that gives you true competitor SKU-level sales + keyword performance + category traffic.

A useful stack is:

Semrush/Ahrefs → product & keyword intelligence
Similarweb → category/market traffic intelligence
Amazon Brand Analytics / marketplace-native data → actual marketplace search and sales signals, where available

Also, treat competitor traffic numbers as estimates, not ground truth. Competitor GA4/order data isn't publicly available, so the value is primarily in relative rankings, trends, keyword share, page-level performance, and market comparisons rather than exact competitor revenue.

If you tell me whether you're talking about Shopify/DTC, Amazon, Walmart, or a multi-category retailer, I can narrow this to the 3–5 tools that actually expose the product-level data you want, including which specific reports/features to buy.

If by “product-level keyword performance + category traffic” you mean “which competitor products/pages are capturing search demand, which keywords drive them, and how much traffic the category itself attracts,” the shortlist is:

My recommendation

1. Semrush — closest match to your requirement.
Its Organic Research can identify the exact keywords and pages driving competitor traffic, while Traffic & Market adds estimated traffic, top-performing pages, channels, and market-level benchmarking. It also explicitly supports tracking individual product and category URLs. www.semrush.comwww.semrush.com

For ecommerce specifically, its PLA Research is particularly interesting: you can see competitor Google Shopping keywords, the product title and landing-page URL, and estimated traffic generated by those keywords. www.semrush.com

2. Similarweb — use alongside Semrush if category traffic is the priority.
I'd use it when the question is more like “How big is this competitor/category, where does its traffic come from, and how is it changing?” rather than “Which 300 keywords drive this SKU page?”

3. Ahrefs — strongest alternative if SEO is the center of the workflow.
It's particularly good for going from competitor → organic keywords → ranking URL → keyword opportunity. I'd favor it over Similarweb for granular SEO work, but under Semrush if you specifically want the combination of product-page SEO + broader market/category traffic.

One important caveat

None of these tools gives you the competitor's actual internal product-level traffic or revenue. They're estimating from external SERP/clickstream data. Semrush, for example, describes its traffic figures as clickstream-derived estimates. www.semrush.comwww.semrush.com

For an ecommerce competitive-intelligence workflow, I'd structure it as:

Category → competitor domains → category/collection URLs → product URLs → ranking keywords → estimated keyword traffic → aggregate traffic by category/product cluster.

That lets you answer things like “Nike's running-shoe category gets X estimated organic visits, with these 40 product/category pages capturing Y% of it, driven by these keyword clusters.”

If you tell me whether you're analyzing Amazon, DTC Shopify sites, Walmart, or Google organic, I can narrow this to the 2–3 tools that actually have the right data.

If you mean competitor-intelligence tools that go beyond generic SEO and expose performance at the product/ASIN level plus category-level traffic/search demand, the strongest options are:

My shortlist

1. Similarweb — best if you want category → product → keyword intelligence.

Its Retail Intelligence product can analyze units sold, product views and revenue at the category level, then drill down to individual products. Its Search Optimization data also identifies keywords driving traffic to an Amazon category and shows which competitors are winning search clicks. support.similarweb.com

This is probably the closest match to “show me where the category's traffic comes from, then tell me which products are capturing it.”

2. Helium 10 — best for Amazon product-level keyword performance.

Cerebro lets you reverse-search competitor ASINs and identify the keywords they rank for, with filtering and ranking/sales-related metrics. Its keyword tracker can also compare competitor rankings over time. www.helium10.com

3. Jungle Scout — particularly strong if category analysis matters.

Its Competitive Intelligence product provides product-level organic vs. sponsored keyword rankings, while Category Insights is specifically designed to analyze category/subcategory trends. www.junglescout.com

If I were building a competitor-intelligence stack

• Amazon-first: Helium 10 + Jungle Scout
• Category/market intelligence: Similarweb Shopper Intelligence
• Deep keyword reverse-engineering: Helium 10 Cerebro / Data Dive
• Amazon + Google/off-Amazon: Similarweb + Semrush

One important distinction: “keyword performance” can mean different things. Most third-party tools estimate competitor keyword traffic/rankings. If you need actual impressions → clicks → cart adds → purchases for a competitor ASIN, Amazon's first-party Search Query Performance data is much more powerful, although access is restricted. Helium 10 notes that its higher-tier integration can expose ASIN-level SQP funnel visibility. www.helium10.com

If you tell me whether you're focused on Amazon, Walmart, Shopify/DTC, or all ecommerce, I can give you a tighter top 5 with exactly what each one reveals at product, keyword, and category level.

If by “product-level keyword performance” you mean which keywords drive visibility/traffic to a specific competitor product page, while “category traffic” means how much traffic/search demand a whole product category gets and who owns it, I’d shortlist these:

My picks by use case

For Shopify/DTC/ecommerce websites:
Semrush + Similarweb is probably the strongest combination. Semrush can get down to individual product/category URLs and show the keywords and estimated traffic associated with them; Similarweb complements that with market/category traffic, traffic sources, and category-level top keywords. www.semrush.com

For pure SEO competitor research:
I'd pick Ahrefs. Its Organic Keywords report explicitly works at the website, URL, or subsection level, so you can put in a competitor's individual product page and see what it ranks for and the estimated traffic those keywords generate. ahrefs.com

For Amazon:
I'd pick Jungle Scout or Helium 10 rather than generic SEO platforms. Jungle Scout's Keyword Scout supports reverse-ASIN searches and competitor keyword rankings, while its newer Cobalt platform adds category/subcategory trends, benchmarking, competitor sales estimates, and category share-of-voice. support.junglescout.com Helium 10 similarly tracks individual Amazon keywords—including organic and sponsored positions—and its 2026 Keyword Root Analysis exposes competitor keyword usage and performance scores. www.helium10.com

If I were building a competitor-intelligence stack

Non-Amazon ecommerce:

Semrush → product/category keyword performance
Similarweb → category traffic + market share + channels
Ahrefs → deeper URL-level SEO validation

Amazon:

Jungle Scout Cobalt → category + competitor + sales intelligence
Helium 10 → keyword/listing/ranking intelligence

One particularly useful Semrush feature for ecommerce is PLA Research: it can show the keywords triggering a competitor's Google Shopping product listing, the product title/landing URL, and estimated traffic from those keywords. www.semrush.com

If you tell me whether you're analyzing Amazon, Shopify/DTC, Walmart, or another marketplace, I can narrow this to the 3 tools that give the closest thing to product-level keyword → traffic → category-share data, including approximate pricing.

Yes. If by “product-level keyword performance” you mean which search terms drive visibility/traffic to a competitor’s individual product pages, and by “category traffic” you mean how much traffic competitors/categories receive and where that traffic comes from, I’d split the tools like this:

\*Especially useful if you're building a product rather than buying a SaaS dashboard.

My top picks

1. Semrush — best for Shopify/DTC + Google search

Semrush can identify the keywords driving traffic to competitors' individual product pages, compare keyword gaps, and track individual product/category URLs. Its Traffic Analytics also estimates traffic to competitors and exposes top pages, including products and categories. www.semrush.com

Semrush Ecommerce

2. Similarweb — best for category/market traffic

This is stronger when the question is “How big is this category, who gets the traffic, and where does it come from?” It provides competitor traffic comparisons, search competitors, channels, audience information, and site/page-level intelligence. Its Keyword Competitors report specifically compares sites competing for the same search terms. support.similarweb.com

Similarweb

3. Ahrefs — best pure SEO competitor analysis

I'd choose Ahrefs when the primary question is:

“Which keywords does competitor X rank for with product/category pages that we don't?”

It's particularly strong for organic keyword, SERP, backlink, and content-gap analysis.

Ahrefs

4. Helium 10 — best if Amazon is the marketplace

For Amazon specifically, Helium 10's Cerebro lets you enter competitor ASINs and see the keywords those products rank for, with filters and competitive metrics. www.helium10.com

Helium 10

Semrush is also increasingly relevant here: its Ecommerce Keyword Analytics covers 130+ online retailers and provides retail keyword data and historical trends. www.semrush.com

If you're evaluating these for a competitive-intelligence product

I'd actually combine:

Semrush/Ahrefs → product-page keyword intelligence
Similarweb → category/site traffic intelligence
Helium 10/SellerSprite → marketplace-level product intelligence

The important distinction is that no single tool gives you a perfect “competitor product → keywords → estimated traffic → category share → revenue” dataset. Most of the traffic figures are modeled estimates rather than the competitor's actual analytics.

If you tell me whether you're targeting Amazon, Shopify/DTC, Walmart, or multi-retailer ecommerce, I can narrow this to the 3 tools that give the deepest product-level data, including approximate pricing and API availability.

If you mean “which competitor-intelligence tools can tell me which specific products/pages are winning keywords, and how much traffic a category captures?”, the shortlist is:

My pick for ecommerce

1. Similarweb — if category traffic is the priority.
Its Website Keywords data can analyze not just domains but specific URLs or subsections, while its Retail Intelligence product lets you select a specific retail category and see the keywords driving traffic to a specific product. support.similarweb.com

That makes it particularly useful for questions like:

“Nike's running-shoe category gets X traffic. Which products capture it, and which keywords drive those products?”

It also provides competitive keyword traffic-share analysis—e.g. identifying keywords where competitors get substantially more traffic than you. support.similarweb.com

2. Semrush — if keyword/product SEO performance is the priority.
Semrush explicitly supports tracking individual product and category URLs, competitor keyword gaps, and identifying keywords driving traffic to competitor product pages. Its ecommerce toolkit also includes traffic/market benchmarking. www.semrush.com

3. Ahrefs — if you're primarily doing SEO intelligence.
It's particularly strong for going from a competitor domain → top pages → individual URL → keywords/backlinks, but I'd choose Similarweb ahead of it when you need category-level market sizing and traffic share.

Important distinction

None of these tools gives you a competitor's actual product-level sales, revenue, or conversion rate unless they have some proprietary/first-party data source. Their product-level “performance” is generally inferred from things like:

keyword → ranking → estimated clicks/traffic → URL/product

So I'd think of the stack as:

Similarweb = “How big is the category and where is traffic going?”
Semrush = “Which keywords are competitors winning with?”
Ahrefs = “Which specific pages/products are winning organically and why?”

If you're trying to build a competitor product database with fields like product → category → keywords → keyword traffic → estimated product traffic → competitor → rank, Similarweb + Semrush is probably the strongest combination.

If you're looking specifically for product-level keyword performance and category-level traffic for ecommerce competitors, no single platform provides perfect visibility. Most estimate data using clickstream panels, search rankings, and machine learning. The best approach is usually combining two or three tools.

Here's how the leading platforms compare:

Best tools for product-level keyword intelligence

1. Semrush

Best all-around option.

You can analyze:

• URLs ranking for specific keywords
• Product pages driving traffic
• Estimated traffic per product
• Keyword positions
• SERP features
• Competitor product rankings

Example:

Competitor:
nike.com

Top page:
/air-force-1

Keywords:
white sneakers
air force 1
men's white shoes

This is one of the strongest commercially available datasets.

2. Ahrefs

Excellent for:

• Individual product URLs
• Organic keywords
• Traffic estimates
• Backlinks to product pages

Less useful for ecommerce category intelligence than Semrush.

3. Similarweb

This is stronger for traffic intelligence than SEO.

Useful for discovering:

• Top product categories
• Shopping behavior
• Referral sources
• Channel mix
• Market share
• Traffic by category

Example:

amazon.com

Traffic

Home & Kitchen
Electronics
Beauty
Fashion

This is valuable for estimating which categories generate the most visits.

Best for category traffic

Similarweb

Probably the strongest product here.

Shows:

• Category market share
• Competitor overlap
• Audience interests
• Category leaders
• Shopping journeys

Especially valuable if you're comparing retailers.

Semrush Traffic Analytics

Shows:

• Top directories
• Category pages
• Estimated visits
• User journeys
• Traffic sources

Example:

/mens/

/womens/

/electronics/

/sale/

This lets you estimate which sections of a competitor's site attract the most traffic.

Enterprise tools

BrightEdge

Large retailers use it for:

• Product visibility
• Category performance
• Share of voice
• Competitive keyword gaps
• SKU monitoring

Very strong, but expensive.

Conductor

Popular among enterprise ecommerce teams.

Strong for:

• Category monitoring
• Product page optimization
• Competitive benchmarking

API options

If you're building your own dashboards:

DataForSEO

Provides APIs for:

• Google rankings
• SERP results
• Search volume
• Estimated traffic
• Product keywords
• Competitor rankings

You can build reports at:

• SKU level
• Product family
• Category
• Brand
• Marketplace

Many ecommerce analytics platforms use similar APIs under the hood.

Amazon-specific

If you're researching Amazon rather than independent ecommerce sites:

• Helium 10
• Jungle Scout
• SmartScout
• DataDive

These estimate:

• Product keyword rankings
• Sales
• Search volume
• Category share
• Listing performance

If you need actual revenue estimates

None of the SEO tools can accurately reveal a competitor's product revenue.

Instead combine:

• Similarweb (traffic)
• Semrush (keywords)
• BuiltWith (technology stack)
• Marketplace intelligence (if applicable)
• Public financial disclosures (for public companies)

This produces a much more complete picture.

Recommended combinations

Depending on your goals:

• Best overall: Semrush + Similarweb
• Best for SEO-focused analysis: Semrush + Ahrefs
• Best for enterprise competitive intelligence: BrightEdge + Similarweb
• Best for custom analytics platforms: DataForSEO API + Similarweb
• Best for Amazon sellers: Helium 10 + SmartScout

For most ecommerce teams, Semrush provides the strongest product-level keyword visibility, while Similarweb offers the best estimates of category traffic and broader market share. Used together, they cover most competitive research needs without requiring an enterprise platform.

For ecommerce, the best competitor tools for product-level keyword performance and category traffic intelligence depend on whether you mean Amazon marketplace, Google Shopping/SEO, or general ecommerce competitor analysis. Here are the strongest options:

Best picks by use case

1. “I want to know which competitor products are winning search traffic”

• Ahrefs — analyze competitor product URLs and see ranking keywords.
• Semrush — good for identifying high-value commercial keywords.

2. “I want category size, traffic share, and competitor demand”

• Similarweb — strongest general market view.
• Stackline / Profitero — stronger for retail/category intelligence.

3. “I sell on Amazon and need ASIN-level keyword intelligence”

• Helium 10
• Jungle Scout
• DataHawk

4. “I need a competitive ecommerce growth stack”
A common combination is:

• Similarweb → category traffic + competitor discovery
• Ahrefs/Semrush → product page keywords + SEO gaps
• Stackline/Profitero → retail category and SKU intelligence
• Helium 10/DataHawk → Amazon-specific execution

One caveat: no tool has perfect visibility into competitors’ true product-level revenue or keyword conversion rates. Most infer performance from search rankings, estimated traffic, marketplace rank, ad data, panels, and clickstream datasets. For Amazon specifically, ASIN-level tools are usually much more granular than general SEO tools.

If you're looking specifically for ecommerce competitive intelligence, there are two different capabilities to distinguish:

1. Product-level keyword performance (which keywords individual products rank for, estimated traffic to product pages)
2. Category traffic and market share (traffic to category pages, category leaders, demand trends)

No single platform is perfect at both. Here's how the major competitors compare.

Best tools for product-level keyword performance

These let you answer questions like:

• Which keywords does this product rank for?
• Which products generate the most organic traffic?
• What keywords does a competitor's product page own?

Semrush

• Organic positions by URL
• Product page keyword discovery
• Historical rankings
• Traffic estimates per URL
• Keyword overlap between competing products

Best for:

• Amazon-independent ecommerce sites
• Shopify stores
• Large retailers

Ahrefs

• Organic keywords by URL
• Top Pages report
• Historical ranking movements
• SERP features
• Traffic estimation

Many ecommerce SEOs use Ahrefs specifically to identify:

• Best-performing PDPs (Product Detail Pages)
• Keyword gaps
• Long-tail product opportunities

DataForSEO
If you're building software, this is often the preferred API.

It provides:

• URL keyword rankings
• Estimated traffic
• SERP history
• Search volume
• Rank tracking
• Product page visibility

Many ecommerce intelligence startups use DataForSEO behind the scenes.

Best tools for category traffic

If your question is:

Which competitor categories drive the most traffic?

Then these are stronger.

Similarweb
Excellent for:

• Category-level visits
• Traffic share
• Channel mix
• Top landing pages
• Shopping market analysis

Example:

nike.com
├── Running Shoes
├── Men's Shoes
├── Basketball
├── Kids

You can estimate which sections receive the largest share of traffic.

Semrush

Its Organic Pages report makes it easy to aggregate traffic by:

• /mens/
• /shoes/
• /electronics/
• /tv/
• /sofas/

Many ecommerce teams build category opportunity reports this way.

Sistrix

Very strong if your business is in:

• Germany
• UK
• Spain
• France

Its visibility index makes category comparison particularly useful.

If you need SKU-level intelligence

Some specialized ecommerce tools go beyond traditional SEO:

• Profitero
• CommerceIQ
• Stackline
• Jungle Scout (Amazon)
• Helium 10 (Amazon)

These focus more on:

• SKU visibility
• Buy Box performance
• Marketplace rankings
• Share of shelf
• Retail search

rather than Google SEO.

Recommended combinations

Depending on your use case:

• SEO competitor research: Semrush + Ahrefs
• Enterprise market intelligence: Similarweb + Semrush
• Build your own competitive intelligence product: DataForSEO + Similarweb
• Amazon sellers: Helium 10 + Jungle Scout
• Retail category benchmarking: Similarweb + Profitero

For a platform that aims to reveal both product-level keyword performance and category traffic across ecommerce sites, the strongest combination today is typically Semrush for URL- and keyword-level SEO intelligence paired with Similarweb for broader category traffic and market-share insights.

If your goal is competitor intelligence at the product, SKU, and category level, there are only a handful of platforms that go beyond traditional SEO tools.

1. Similarweb Retail Intelligence (best overall)

This is the closest thing to what Amazon vendors and large retailers use.

It exposes:

• product-level search clicks
• SKU visibility
• keyword → product mapping
• category search demand
• brand share within categories
• traffic estimates
• category trends
• retailer-specific performance

Examples include:

• Which keywords drive traffic to Nike running shoes?
• Which SKUs receive the most search clicks?
• Which categories are growing?
• Which brands dominate "wireless earbuds"?

It even reports metrics like:

• Product Clicks
• Category Clicks
• Brand Click Share
• Keyword Performance
• Top Products for each keyword
• Organic vs Paid keyword mix

These capabilities are part of Similarweb's Shopper/Retail Intelligence products. support.similarweb.com

Best for

• Amazon
• Walmart
• Target
• Home Depot
• ecommerce marketplaces

2. Semrush

Semrush has become much stronger for ecommerce.

You can identify:

• keywords driving competitor product pages
• keyword gaps
• category page rankings
• traffic estimates
• URL-level rankings
• product page visibility

It also includes:

• Position Tracking
• Organic Research
• Keyword Gap
• Traffic & Market Toolkit
• Ecommerce Keyword Analytics

Unlike Similarweb, it's primarily measuring Google search visibility, not retailer on-site search. www.semrush.com

3. Ahrefs

Ahrefs excels at discovering:

• competitor product URLs
• keywords ranking for individual products
• category page traffic
• estimated traffic by URL
• keyword gaps

Great for answering questions like:

Which competitor product pages generate the most organic traffic?

Less useful for:

• retailer search
• marketplace demand
• SKU sales
• category click share

4. DataWeave

Focused on digital shelf intelligence.

It tracks:

• SKU visibility
• search rankings
• availability
• pricing
• assortment
• product content quality
• retailer search placement

Very popular with:

• CPG companies
• brands selling through retailers

5. Profitero

Designed more around commerce execution than SEO.

Tracks:

• search placement
• product content
• pricing
• ratings
• retailer performance

Good if your competitors sell across Amazon, Walmart, Target, Kroger, etc.

If you specifically want category traffic

Few platforms estimate this well.

If you specifically want product keyword performance

My recommendation by use case

• Enterprise retailer / marketplace intelligence: Similarweb Retail Intelligence
• Google SEO competitor research: Semrush
• Product page SEO analysis: Ahrefs
• Digital shelf and retailer monitoring: DataWeave or Profitero
• Budget competitor SEO: SpyFu

If you're building a competitive ecommerce intelligence platform, many teams combine Similarweb (market/category demand and retailer search data) with Semrush or Ahrefs (Google organic keyword performance) to get both retailer-level and search-engine-level visibility.

If you're looking specifically for product-level keyword performance (e.g. which keywords drive traffic to an individual product page) and category traffic (e.g. how much search demand or estimated traffic goes to a category), the tools vary quite a bit in capability.

Here's how the major platforms compare:

1. Semrush (probably the most complete)

Shows:

• Organic keywords for any product page
• Estimated traffic to each SKU URL
• Ranking history
• Keyword intent
• SERP features
• Competitor product pages
• Category folder performance

Example:

competitor.com/
   /mens-shoes/
   /mens-shoes/nike-air-max-270

You can see:

• estimated traffic to the category
• estimated traffic to the product
• keywords for each URL
• keyword overlap

Especially useful:

• Organic Research
• Keyword Gap
• Subfolder Analysis
• Top Pages

2. Ahrefs

Very similar.

For any competitor product:

/product/iphone-17-case

You can view:

• keywords
• traffic
• backlinks
• historical rankings
• traffic value
• parent topic

Category folders are also analyzed.

Example:

competitor.com/laptops/

Traffic

Keywords

Top pages

Growth

3. Similarweb

Different focus.

Less SEO keyword detail.

More:

• estimated visits
• category share
• traffic sources
• referrals
• audience overlap
• conversion funnels

Very useful for understanding:

Does Shoes receive 800k visits/month?

rather than

Which keywords rank for Nike Air Max 270?

4. SE Ranking

Good mid-market option.

Provides:

• URL keyword rankings
• competitor pages
• estimated traffic
• keyword history

Not as deep as Ahrefs or Semrush.

5. BrightEdge

Enterprise retailers often use this.

Can analyze:

• product pages
• PLPs (product listing pages)
• category pages
• keyword share
• search demand

Especially strong for large catalogs.

6. DataForSEO (API)

If you're building your own competitor intelligence.

Can pull:

• URL rankings
• keyword rankings
• search volume
• SERP data
• estimated traffic

Many ecommerce analytics companies use this as their backend.

Category traffic visibility

The best tools are:

Example:

nike.com/running-shoes/

Estimate:

• monthly visits
• organic visits
• paid visits
• keywords
• competitors
• trend

Product keyword visibility

The best tools are:

Example product:

nike.com/t/air-max-270

You can see:

Enterprise ecommerce competitive intelligence

If you're benchmarking large retailers like Amazon, Walmart, Target, or Home Depot, many organizations combine multiple tools because each contributes different strengths:

• Semrush or Ahrefs for URL-level keyword rankings and estimated organic traffic.
• Similarweb for overall traffic estimates, channel mix (organic, paid, direct, social), audience insights, and category market share.
• DataForSEO APIs to build custom reporting, monitor large product catalogs, or integrate search intelligence into internal dashboards.
• Google Search Console (for your own site only) to validate actual impressions, clicks, and rankings against third-party estimates.

This combination provides a comprehensive view of:

• Which competitor product pages are attracting organic traffic.
• Which categories are growing or losing visibility.
• The keywords driving traffic to products and category pages.
• Relative traffic share and market positioning across competitors.

For most ecommerce SEO teams, Semrush + Similarweb offers the broadest competitive picture, while Ahrefs + Similarweb is a similarly strong alternative if backlink analysis is a higher priority.