ChatGPT answers, unedited

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.