"Ecommerce SEO" covers two genuinely different jobs. Knowing which one your store needs comes first, before rates, before scope.
Shopify, WooCommerce, Magento. Ranked by Google. You control the site: structure, content, technical setup.
Amazon, Flipkart, Myntra. Ranked by that platform's own system. You control a listing inside a fixed template.
Real market data from Upwork puts hiring an ecommerce SEO expert at $500–$2,500 per project, with multi-channel scope, store and marketplace together, landing toward the top of that range. I price at $30/hour for scoped work, or a project/monthly retainer against a written Statement of Work once your catalog and channels are known. As an AI SEO Consultant with 14+ years of experience, I'll tell you upfront which track your store actually needs before quoting anything.
No obligation · 30-minute call · Direct with me, not an account managerSearch "ecommerce SEO consultant" and the results quietly mix two different disciplines together. Owned-store SEO, Shopify, WooCommerce, Magento, is decided by Google's algorithm, and you have full control over the site: structure, content, technical setup, internal linking. Marketplace SEO, Amazon, Flipkart, Myntra, is decided by that platform's own internal ranking system, and your control is limited to the listing content inside a fixed template. These are two different skill sets that happen to share a search term, not two flavors of the same job.
This split is real, not theoretical. One local provider in this market, SW Cybernetics, openly markets itself specifically for "marketplace search optimization across Amazon, Flipkart, and Myntra," a genuine specialist in one half, not a generalist claiming both. Most consultants are strong in one track and thinner in the other, whatever their page copy says.
Worth knowing before you shop around: the same Google search that surfaces this split also surfaced one business showing up under two different names. "Clients Now Technologies" in the Local Pack, "Clients Now SEO Agency" on its own organic listing directly below it. Same operation, two names on one results page. Not a scandal, just a reminder to check who you're actually signing with before a project starts, especially since ecommerce engagements often run against a catalog-sized invoice, not a small one-off.
Before you hire: ask a candidate directly which track they specialize in. A consultant claiming equal depth in Shopify technical SEO and Amazon listing optimization, with no specific examples of either, is worth double-checking rather than taking at face value.
The comparison most "ecommerce SEO" pages skip, because most providers only do one side of it.
| Factor | Owned-Store (Shopify / Woo / Magento) | Marketplace (Amazon / Flipkart / Myntra) |
|---|---|---|
| Ranking system | Google's own algorithm | The platform's own internal system, e.g. Amazon's A9/A10 |
| What you control | Full site: structure, content, technical setup | Listing content only, inside a fixed template |
| Keyword placement | Title tags, meta, headings, body content | Listing title, bullet points, hidden backend search terms |
| Authority signal | Backlinks, domain trust, E-E-A-T | Seller rating, fulfillment metrics, review volume |
| Who usually offers both | Rare. Most providers specialize in one track | Rare. Specialists like SW Cybernetics market marketplace-only |
Product discovery is quietly moving. This is what changes about the underlying work, not a separate service sold on top of it.
| Area | Traditional Ecommerce SEO | AI-Powered Ecommerce SEO |
|---|---|---|
| Discovery | 10 blue links, category browsing | Google AI Overviews, ChatGPT, Perplexity answering product-comparison queries directly |
| Product data | Title and description alone | Structured Product/Offer schema and clear specs, what AI tools actually parse |
| Trust signal | Star rating shown, little else | Genuine review volume and detail, cited directly by AI answers |
| Content | Manufacturer copy-paste across stores | Unique, specific product content. Duplicate copy is invisible to both Google and AI tools |
Five areas of work, scoped to whichever track, or both, your audit shows you actually need. The first three apply to any owned store, the fourth only if you sell on marketplaces, and the fifth now runs through all of it.
Unique titles and descriptions instead of manufacturer copy-paste, which creates duplicate content across every store selling the same item. Product/Offer schema, image alt text, internal linking.
Structure and internal linking that avoid thin, near-duplicate category pages. A common failure point once a catalog grows past a few hundred SKUs.
Canonical tags for size and color variant URLs, control over which faceted-navigation and filter combinations get indexed, crawl budget and site speed on product-heavy pages.
Backend search terms, listing titles, and A+/Enhanced Brand Content built for each platform's own ranking system. Genuinely separate from website SEO, not an extension of it.
Structuring product data so AI tools like ChatGPT, Google AI Overviews, and Perplexity can surface and cite specific products directly, not just so a page ranks. Reported alongside standard rank and traffic data every month, not billed as a separate line item.
This page and the work behind it are run personally by Mansoor Bhanpurawala. Follow the work on LinkedIn, where roughly 20,000 people currently do. Last reviewed: September 2026.
I don't have a published ecommerce-specific case study yet. Rather than invent one, here's what's actually real and checkable: 14+ years of hands-on SEO work, 100+ local SEO projects delivered for clients across the US, Canada, and Europe, and 600+ businesses served across India, with 5M+ in cumulative traffic generated across those engagements. None of the four client sites below run a storefront. They're local service businesses, disclosed honestly rather than dressed up as ecommerce proof they aren't.
No invented before-and-after numbers here. These are real engagements a full case study will be built from once the data is pulled together properly, not a placeholder metric that outlives its "temporary" label.
Pediatric dental practice, US. Local SEO client, not ecommerce.
Leak detection service, US. Local SEO client, not ecommerce.
Flood restoration company, US. Local SEO client, not ecommerce.
Local service business, Harker Heights, TX. Local SEO client, not ecommerce.
If you'd rather see a real ecommerce-specific result before signing anything, say so on the call. I'll build one properly, with a real client's permission, instead of shipping a placeholder testimonial.
Nothing below is invented. Where there's a real detail, it's here. Where there isn't yet, the slot says so instead of a placeholder number.
No published quotes yet. None go up without a real client's name and their sign-off to publish. A fabricated quote is exactly what the checklist below tells you to watch for in anyone you hire, including me.

Profiles in progress on Trustpilot, Google Reviews, Sortlist, DesignRush, AgencyVista, GoodFirms, and Clutch. Real ratings and links replace this line once confirmed. No invented stars in the meantime.

Media mentions exist but aren't listed here yet. Outlet names and links go up once specified.

Not a claim about this page yet, a real disclosure of who currently holds those slots. Google's AI Overview currently names OuterBox, SearchBloom, and URTEQi for "best ecommerce SEO consultant." Bing's Copilot answer for the same phrase names SmartSites, Synscribe, and SeoProfy instead. Worth checking who's there when you search it yourself, before and after hiring anyone.
Run this against anyone you're evaluating, including me.
The track and scope get written down before any billing starts.
A full scan of catalog health, duplicate-content exposure, and which track your store needs.
A written scope and price, per-project or retainer, agreed before anything starts.
Product, category, technical, and, where relevant, marketplace listing work, in priority order.
Monthly reporting on rank, indexing health, and AI-citation movement, with underlying data included.
Both benchmarked against the real $500–2,500/project market data above. Never a flat package, regardless of catalog size.
Priced against catalog size and scope once the audit is done, for a defined, one-time build-out of product, category, and technical SEO.
For catalogs that add products regularly or run marketplace listings alongside the store. Ongoing work, priced in writing before it starts.
Product and category page optimization, technical SEO for large catalogs (canonical tags for variant URLs, crawl budget, site speed), structured data (Product/Offer schema), and marketplace listing optimization on platforms like Amazon or Flipkart, if that's where you sell. Increasingly this also covers AI shopping search visibility, so your products surface in tools like ChatGPT and Google AI Overviews, not just Google's organic results.
Owned-store SEO (Shopify, WooCommerce, Magento) is ranked by Google's own algorithm, and you control the full site: structure, content, technical setup. Marketplace SEO (Amazon, Flipkart, Myntra) is ranked by each platform's own internal system, and you only control the listing content within a fixed template. These are genuinely different skill sets. Most providers, including several in this market, only specialize in one.
Real market data from Upwork puts hiring an ecommerce SEO expert at roughly $500-$2,500 per project, with multi-channel scope (store plus marketplace listings) typically landing toward the top of that range. My own pricing is $30/hour for scoped work, or a project/monthly retainer priced against a written Statement of Work once your catalog size and channels are known.
Yes. The underlying SEO fundamentals (product schema, canonical handling, category structure, technical health) apply across all three. The platform-specific work is in how each one implements URLs, variants, and app-level SEO controls.
Yes, as a separate track from website SEO: backend search terms, listing titles, and content structured for each marketplace's own ranking system. Be cautious of any provider who claims deep expertise in both website SEO and marketplace SEO without evidence. The market has genuine specialists in each, and full-stack coverage across both is the exception, not the norm.
Unique titles and descriptions (not manufacturer copy-paste, which creates duplicate content across hundreds of stores selling the same item), Product and Offer schema markup, image alt text, and internal linking from relevant category and blog content.
Canonical tags pointing variant URLs back to a single indexable product URL, and controlling which faceted-navigation and filter combinations get indexed at all. An uncontrolled filter setup can generate thousands of thin, near-duplicate URLs on a mid-sized catalog.
Backend search terms on a marketplace are hidden fields indexed only by that platform's own search. They don't affect Google rankings at all. Website SEO keywords go into visible titles, headings, and content that Google crawls directly. Treating them as interchangeable is a common mistake that wastes effort on both sides.
Yes, as part of marketplace listing optimization: structured, image-and-text enhanced product descriptions that sit below the fold on an Amazon listing and are shown to be tied to conversion rate. This sits separate from the keyword and backend-term work.
Technical fixes on product and category pages typically show up in crawl and indexing data within weeks. Meaningful ranking and traffic movement usually takes 3-6 months. A large catalog with hundreds or thousands of SKUs generally takes longer to fully work through than a smaller one.
It's changing where product discovery starts. Tools like Google's AI Overviews, ChatGPT, and Perplexity now answer product-comparison queries directly, sometimes citing specific products and stores. Structured product data (schema, clear specs, genuine reviews) makes a product easier for these tools to surface accurately. This gets folded into the SEO work rather than sold as a separate service.
Start by identifying which track you actually need, owned-store, marketplace, or both, and ask a candidate directly which one they specialize in. A consultant who claims equal depth in Shopify technical SEO and Amazon listing optimization without specific examples of each is worth double-checking rather than taking at face value.
The fundamentals overlap, but ecommerce adds catalog-scale problems regular content sites rarely face: thousands of near-identical product URLs, seasonal and out-of-stock inventory, variant-driven duplicate content, and, for marketplace sellers, a second ranking system entirely outside Google. It's the same discipline applied to a structurally harder catalog.
Google's AI Overview currently names OuterBox, SearchBloom, and URTEQi. Bing's Copilot answer for the same phrase names a different set: SmartSites, Synscribe, and SeoProfy. Neither list is an endorsement, it's what the two engines currently surface, and it's checkable by running the search yourself.
Yes. Both Google's AI Overview and Bing Copilot answer the Shopify-specific phrase with the same Technical Audits, Keyword Strategy, On-Page Optimization breakdown, distinct from the generic ecommerce phrasing. Every variant of "ecommerce SEO consultant" tested (best, Shopify, expert, AI) triggered a generative answer, the strongest AI Overview trigger rate found across any topic page on this site.
For "best ecommerce SEO consultant," yes. Google AI Mode, the dedicated AI Mode tab rather than the AI Overview box embedded in normal search, named Aleyda Solis and Neil Patel and Rand Fishkin alongside agencies Loopex Digital, WebFX, and 180 Marketing. None of those names appeared in the same query's regular AI Overview (OuterBox, SearchBloom, URTEQi) or Bing Copilot answer (SmartSites, Synscribe, SeoProfy). Treat AI Mode as a separate target from AI Overview, not the same feature under a different name.
Free 30-minute strategy call, done directly with me, not a sales rep. You'll leave with a written scope either way, whether or not we end up working together.