E-commerce SEO · AI Search
Ecommerce SEO for AI Search
Ecommerce SEO services and AI SEO services for Shopify, Amazon and D2C brands. As an AI SEO agency in India, we help your products rank higher on Google and get recommended and cited in ChatGPT, Gemini, Perplexity and Google AI Overviews.
- 01Product
- 02Search
- 03AI
- 04Recommendation
AI Search Result
Based on material sourcing, durability testing and verified reviews, these brands are most frequently recommended.
- Brand AAI visibility 92
- Product
- Trail Runner 2
- Why recommended
- Verified material data
- Source
- Brand knowledge panel
- Brand BAI visibility 74
- Product
- Everyday Knit
- Why recommended
- Strong review coverage
- Source
- Editorial round-up
- Brand CAI visibility 58
- Product
- Road Lite
- Why recommended
- Detailed spec markup
- Source
- Product schema
Conceptual visualisation. Brands, notes and scores are placeholders.
The new generation of SEO
Visibility across Google, AI Overviews and AI search engines.
Search is no longer a single ranked list. Customers ask assistants what to buy, and the answer is assembled from the sources those systems trust.
- 01Google Search
- 02Google AI Overviews
- 03ChatGPT
- 04Perplexity
- 05Gemini
- 06Claude
+150K
Search opportunities
Illustrative scale of query space mapped per catalogue.
+70K
Product discovery signals
Illustrative volume of attribute and entity signals.
Our clients
Our clients need more than rankings.
They need to be discovered when customers ask what to buy — in the answer itself, not three scrolls below it.
Chapter 01
E-commerce SEO
The technical and structural work that makes a catalogue discoverable at scale.
- Technical SEO
- Product SEO
- Category architecture
- Internal linking
- Structured data
Chapter 02
AI Search Visibility
Being included, recommended and cited when customers ask an assistant what to buy.
- AI SEO
- GEO
- AEO
- ChatGPT SEO
- Citations
- Recommendations
Chapter 03
Platform SEO
Strategy shaped by the indexing and templating reality of your storefront.
The product discovery layer
Optimization for AI Search.
AI search doesn't rank pages; it assembles answers. Your brand entity, product data, citations and recommendations become one connected system.
- AI Overviews
- ChatGPT
- Perplexity
- Gemini
- Product Search
- Recommendations
- Citations
AI Search Visibility
Indexing is where AI visibility begins.
If a machine can't crawl, parse and understand your catalogue, it can't recommend it. This is the unglamorous layer that decides everything above it.
- 01Crawlability
- 02Indexing
- 03Entity signals
- 04Structured data
- 05Content understanding
Search engines and AI assistants both have to understand your catalogue before they can recommend it.
Results compound once the catalogue is readable to both search engines and AI answer surfaces.
AI visibility
Tracked prompt sets+500%
Average lift in brand appearances across the AI answer surfaces we track for clients, measured over the first six months of work.
- AI Overviews78%
- ChatGPT64%
- Perplexity52%
Working across e-commerce
Methodology
Four layers. One search system.
01
Technical Foundations
Crawl budget, indexation control, faceted navigation, page experience and template hygiene.
02
Product Discovery
Category architecture, product SEO, attribute coverage and structured data that machines can parse.
03
Authority & Relevance
Topical coverage, entity consistency and credible third-party mentions across the sources AI reads.
04
AI Search Visibility
Answer-level optimisation for AI Overviews, ChatGPT, Perplexity and Gemini, measured continuously.
Platform SEO
Built for the platforms that power e-commerce.
Each platform indexes, facets and templates differently. The strategy follows the platform, not the other way around.
Industries
SEO strategies built around your category.
Fashion
Seasonal demand, variant sprawl and size-driven queries.
Beauty
Ingredient-led search and heavy AI comparison behaviour.
Electronics
Spec-level intent, high comparison and review pressure.
Jewelry
Material, occasion and price-band discovery.
Furniture
Long consideration cycles and room-level intent.
D2C
Brand-entity building alongside category coverage.
B2B
Bulk, spec and procurement-driven search paths.
Results
SEO should show up in the numbers.
Category architecture rebuild lifted non-brand traffic 68%.
A 4,800-SKU fashion catalogue on Shopify had collections competing with each other. Rebuilding the hierarchy, internal linking and product data lifted non-brand organic sessions 68% and category entries 91% across five months.
Organic Traffic
+68%
Non-brand sessions, 5 months
Keywords
+12.4K
New ranking queries
Visibility
52%
Of tracked AI prompts
Revenue
+41%
From organic search
Research
What happens in search should be measurable.
E-commerce SEO Benchmark
How catalogue size, template quality and internal linking correlate with organic discovery.
AI Search Visibility Study
Which signals appear most often in the sources AI assistants cite when recommending products.
Original SEO Data
Our own measurement framework for tracking citations, recommendations and entity coverage.
- Expertise
- E-commerce search, AI retrieval and product discovery.
- Methodology
- A documented four-layer system, applied per store.
- Credentials
- Published on request — nothing claimed that isn't verified.
- Experience
- Catalogue-scale SEO across platforms and categories.
FAQ
Frequently asked questions about e-commerce and AI SEO.
Straight answers on technical SEO, product discovery, GEO, AEO and visibility inside AI assistants.
Get started
Be part of the answer.
Tell us about your catalogue, your platform and where you want to be found. We'll come back with a clear view of the opportunity.
Strategy call