Specialist ecommerce SEO agency in India
An ecommerce SEO agency built around your catalogue
EcommerceSEO.in is an ecommerce SEO agency for Shopify, WooCommerce, Magento, headless stores, marketplaces and D2C brands in India. We connect technical SEO, category and product visibility, product data and content with organic revenue measurement.
Shopify · WooCommerce · Magento · Headless commerce · D2C · Marketplaces
Selected commerce, marketplace and digital-product experience




Ecommerce SEO success story
Organic growth tied to commercial outcomes.
For Headout, the work connected topical content and entity coverage with information architecture, technical SEO and internal linking across a large global ecommerce platform.
Organic ecommerce result
243%
increase in organic revenue
Historical analytics comparison, 2022
Supporting commercial and search movement
increase in transactions
Historical analytics comparison, 2022
increase in organic clicks
Historical six-month Search Console comparison, 2022
The engagement addressed thin pages, demand-led page creation, topical organisation, information architecture and technical SEO. Results are historical comparisons, not guarantees of future performance.
Client experience
What clients say about the work
We hit our KPIs in less than 3 months. We moved our key revenue-driving pages to positions #1 and #2.

Aditya went above and beyond with our SEO strategy. Everything from keyword research to on-page optimization was extremely helpful.

He is a true SEO specialist. He knows how to lay out the SEO strategy together with a timeline and a list of tasks to be done.

Choosing an ecommerce SEO agency
Is EcommerceSEO.in the right fit for your store?
The strongest engagements combine platform knowledge, catalogue access, implementation capacity and commercial measurement.
A strong fit when you have
- A Shopify, WooCommerce, Magento, headless or custom commerce stack
- Category, collection, product, variant or marketplace complexity
- Access to Search Console, analytics, catalogue data and implementation teams
- A need to connect organic visibility with transactions and revenue
What the work requires
- A clear commercial priority, such as a category, market or product group
- The ability to implement technical, template and content recommendations
- A realistic growth window instead of guaranteed rankings
- Shared measurement definitions for traffic, transactions and organic revenue
Platform-specific ecommerce SEO
Your platform changes the SEO work
Shopify, WooCommerce, Magento, headless and custom stores create different URL, rendering and product-data problems. The commercial goal stays the same, but the technical work cannot be platform blind.
Shopify SEO
Work within Shopify theme, collection, variant, pagination and app constraints while keeping key catalogue pages fast and clear.
- Collection-page systems
- Variant and canonical review
- Theme and app performance
- Shopify Product schema
WooCommerce SEO
Control WordPress taxonomies, plugin output, parameter URLs, schema and server performance as the product catalogue grows.
- Taxonomy and archive control
- Plugin-output review
- Performance diagnosis
- Product and category schema
Magento, headless and custom
Plan crawl access, rendering, catalogue relationships and product data around the storefront and commerce systems you actually operate.
- Custom catalogue architecture
- Rendering and indexation
- Product-data relationships
- Migration and release controls
Ecommerce SEO services
One system from crawl access to organic revenue
The work is sequenced around the catalogue, platform and demand of your store. It is not a generic checklist applied to every ecommerce website.
Technical Ecommerce SEO
Control faceted navigation, crawl paths, canonicals, rendering, sitemaps, Core Web Vitals and indexation.
- Filter and parameter control
- Crawl and indexation review
- Rendering and performance
- XML sitemap rules
Category and Collection SEO
Map commercial demand to the catalogue hierarchy, then improve templates, copy, filters and internal links.
- Category demand mapping
- Collection-page templates
- Internal linking
- Inventory-state handling
Product Page SEO
Improve product titles, descriptions, images, variants and reviews alongside Product structured data.
- Product content systems
- Variant handling
- Product schema
- Price and availability checks
Content and Topical Authority
Build buying guides, comparisons, glossaries, product education and ecommerce authority around real pre-purchase questions.
- Buying guides
- Comparison content
- Glossary architecture
- Digital PR and authority building
Product Data and Discovery
Align visible product facts with schema and merchant feeds across Google and AI-assisted shopping surfaces.
- Product identifiers
- Merchant-feed alignment
- Entity relationships
- AI discovery readiness
Organic Revenue Measurement
Connect Search Console, Google Analytics and ecommerce events to products, categories and commercial decisions.
- Landing-page measurement
- Ecommerce event review
- Query-to-page analysis
- Commercial reporting
How the engagement starts
A clear first 90 days
Every store starts with evidence. The sequence changes with the platform, catalogue and implementation capacity, but the expected outputs stay visible from the beginning.
Days 1–30
Baseline and opportunity map
Review Search Console, analytics, crawl access, indexation, catalogue structure, templates and product data. Map commercial demand to the pages that should earn it.
Days 31–60
Technical and template work
Prioritise the Shopify, WooCommerce, Magento or headless fixes that affect category, collection and product visibility. Turn the plan into implementation tickets.
Days 61–90
Scale and measure
Extend the winning changes across relevant templates, strengthen internal relationships and compare landing-page, transaction and organic revenue movement.
What determines ecommerce SEO pricing?
Scope changes with catalogue size, platform and rendering complexity, template count, content production, engineering support and the measurement required. The pricing page explains the current engagement levels without turning them into a fixed checklist for every store.
Google and AI discovery
Search foundations first. AI retrieval and citations next.
Strong visibility in AI search starts with the same foundations required by Google: crawlable pages, clear category and product information, structured data, merchant feeds and evidence that can be retrieved.
We plan from the store's central offer downward through search intent, entities, catalogue relationships, page templates, product data and measurement. Google rankings, AI citations, mentions and referral traffic remain separate signals.
Ecommerce search and AI readiness map
- 01
Search intentGroup the commercial questions people ask before choosing a category, product or brand.
- 02
Entities and attributesConnect the brand, products, categories, variants, materials, uses and audiences.
- 03
Catalogue and template issuesAssign technical and content problems to the category, product or template where they belong.
- 04
Product-data consistencyAlign names, identifiers, price, availability and variants across pages, schema and merchant feeds.
- 05
Search and AI measurementTrack classic search visibility, landing-page behaviour, AI mentions and referrals as separate signals.

FAQ
Questions ecommerce teams ask before hiring
Free starting point
Get Your Free Ecommerce SEO Audit
We review technical and indexation risk, catalogue structure, category and product search coverage, product data and measurement before recommending the first priorities.
- Technical and indexation risk review
- Category and product-page opportunity
- Platform-specific constraints
- Google and AI-discovery readiness
- Prioritised next-step recommendation