We build organic discovery for online stores — from product schema and category architecture to AI-citation visibility in ChatGPT, Perplexity and Gemini.
Plans cover the full ecommerce SEO stack: technical foundation, product & category optimization, GBP & Merchant Center setup, AI-readiness audits, authority signals and revenue reporting. Same activity playbook across all tiers — scope and depth scale with dedicated hours.
Big catalogs amplify small SEO mistakes. The same issues show up on Shopify, WooCommerce, Magento and BigCommerce — and they get worse as the catalog grows.
Manufacturer descriptions, empty collection pages, and AI-generated copy with no information gain. Google and AI engines can't tell why your product is the answer.
Filter URLs, sort parameters and color/size variants get indexed and dilute crawl budget. Important product and category pages compete with thousands of low-value parameter URLs.
Products aren't cited in ChatGPT, Perplexity or Gemini shopping answers because schema, entity signals and review data don't tie back to a clear brand entity.
Discontinued SKUs return 404s, OOS products drop rankings permanently, and seasonal products get re-crawled wrong every year. Equity from old URLs leaks away.
Every store starts with the same diagnostic, then we tune scope to your catalog size and competitive intensity.
Crawlability, Core Web Vitals, canonical & parameter handling, Merchant Center feed health, and AI-readiness of product/category pages. We fix the foundation before scaling content or links.
Buyer-intent mapping across the catalog. Product titles, meta, GEO summaries, schema, internal links and category collections built so that high-intent buyers and AI engines both land on the right page.
Knowledge graph connectivity, NAP-consistent citations, review sentiment monitoring, and weekly GBP & Bing "AI Signal" posts so your brand is the cited answer in ChatGPT, Perplexity and Gemini.
High-DA directory and niche placements, ongoing review & sentiment management, and weekly + monthly reporting tied to organic revenue — not just rankings or traffic.
All three plans run the same activity stack — store setup, research, product & category optimization, technical & AI-readiness, off-page authority, and reporting. The differentiator is dedicated hours and the depth they unlock. All prices exclusive of taxes.
All packages include AI Visibility Optimization — getting products cited in ChatGPT, Perplexity & Gemini. Content copywriting, dev implementation, paid placements and creative assets are billed separately at actual cost.
Headless setups, marketplaces (Amazon/Etsy), multi-region (hreflang) catalogs, or 5,000+ SKU stores get a custom scope. Tell us your catalog size and target markets — we'll quote it transparently.
A quick rule of thumb based on catalog size, organic traction, and how aggressive your competitors are.
You've launched, your product feed works, but organic traffic is flat and you're not showing up in AI shopping answers. Foundation work matters more than volume at this stage.
→ Store Foundation100–1,000 SKUs, decent organic traffic, but category pages aren't ranking and competitors keep showing up in AI shopping answers instead of you. Time to scale scope.
→ Revenue Accelerator1,000+ SKUs, multiple categories, seasonal turnover, and competitive YMYL-adjacent niches. You need full-catalog scope, OOS strategy and ongoing AI-readiness.
→ Market LeaderMultiple stores, regions or marketplaces — Amazon/Etsy presence, headless commerce or hreflang catalogs. Needs a custom scope and dedicated hours beyond 70/mo.
→ Custom ScopeTwo engagements where audit-first, on-page & technical SEO moved organic revenue — a Magento ecommerce brand that grew organic traffic 204.45%, and a marketplace that 4x'd revenue-critical page clicks without acquiring a single new backlink.
A leading invitation card brand on Magento was losing visibility to Google algorithm updates, an outdated design that hurt both UX and crawlability, stale content, keyword cannibalization, and a backlink profile damaged by low-quality inbound links. We ran high-intent keyword research, resolved duplicate URLs and cannibalization across the catalog, rebuilt site structure for better crawlability and indexing, removed toxic backlinks, and earned new placements from relevant wedding-industry publications.
A digital insurance marketplace had trapped demand behind technical debt — redirect chains, parameter URL bloat, missing H1s, and weak internal equity flow from blogs into commercial pages. We ran a phased program: technical audit and cleanup, on-page optimization across 60+ URLs against a single checklist, refocusing money pages around high-intent queries, then off-page hygiene. Zero new backlinks acquired. The same playbook maps directly to mid-size ecommerce stores where category pages are out-ranked by their own blog posts.
All three packages run the same six activity stacks. The difference between tiers is depth (SKU coverage), frequency (audit and reporting cadence) and reach (authority placements and AI-signal posts).
Claim and verify the store's Google Business Profile and Bing Places listings. Tie them to the storefront so location and product signals reinforce each other in local and shopping results.
Connect both properties, configure conversion events, exclude internal traffic, and link them to GBP and Merchant Center. The reporting baseline starts here.
Create or audit the Merchant Center account, fix feed errors, map required attributes, and configure automatic product updates so listings stay eligible for Shopping and free product results.
Set up Bing Webmaster Tools, submit sitemaps, and wire up IndexNow so new and updated products get crawled within minutes. Critical for ChatGPT and Copilot visibility, since both use Bing's index.
Generate XML sitemaps split by content type (products, categories, blog), and configure robots.txt to protect crawl budget from cart, checkout, and parameter URLs.
Create or claim review profiles on the platforms shoppers and AI engines reference. Wire up review collection so social proof keeps compounding over the engagement.
Identify head and long-tail terms with real buying intent, mapped to specific products and category pages. Excludes informational queries that don't convert.
Map each keyword to a stage in the buyer journey — discovery, consideration, comparison, purchase — so the right page type targets the right intent.
Audit which SERP features (shopping pack, image carousel, AI overview, video, PAA) show up for target keywords, and what content type wins each slot. Informs which pages to optimize for which surface.
Find products and categories where competitors rank but you don't, plus the AI shopping prompts they get cited in. Prioritize the gaps with real revenue potential.
Audit how Google's knowledge graph and AI engines understand your brand entity, products, and category relationships. Identify the missing connections that hold rankings back.
Measure whether each page adds unique information vs. competitors. Pages with zero information gain are flagged for rewriting before AI engines deprioritize them.
Rewrite product titles, meta descriptions, URL slugs, and GEO (generative engine optimization) summaries so each product page wins on its primary keyword and gets cited by AI engines.
Rewrite category H1s, intro copy, meta tags, and internal anchors. Add filterable subcategory blocks that help shoppers and crawlers move between related products.
Audit existing descriptions for thinness, duplication, and missing attributes. Provide a prioritized rewrite spec — what to change, in what order, and why.
Implement valid Product, Offer, AggregateRating, and Review schema across the catalog. Test in Rich Results, then monitor for warnings in Search Console.
Build deliberate internal link paths — related products, "shop the look" blocks, category cross-links, and breadcrumb consistency — so link equity flows to revenue pages.
Configure which filter combinations get indexed, which canonicalize to the parent category, and which are blocked. Protects crawl budget and stops duplicate content drift.
Full crawl with Screaming Frog and Sitebulb, mapped against server log files. Surface broken redirects, orphan products, render issues, and AI-engine accessibility blockers.
Field and lab data from CrUX and PageSpeed Insights, with a prioritized fix list for LCP, INP, and CLS — focused on product templates and category templates first.
For React, Vue, headless, and Shopify Hydrogen stores — verify that product data, prices, reviews, and schema are visible to crawlers without JavaScript. Recommend server-side rendering or prerender fixes where they're not.
Fix conflicting canonicals, parameter explosion (sort, filter, color, size), and product variant duplication. Stops the catalog from competing with itself.
Define rules for OOS, seasonal, and permanently discontinued products — when to keep, when to 301, when to remove. Preserves link equity instead of leaking it.
Monthly check on how ChatGPT, Perplexity, and Gemini render and cite your product and category pages. Flags new gaps as AI engines update their crawling behavior.
Submit to vetted directories that matter for your niche — ecommerce-specific, vertical-relevant, and high-trust general directories. No spam, no PBNs, no link farms.
Push consistent Name / Address / Phone across the citation graph, then monitor brand sentiment across reviews, forums, and social mentions for early warning signs.
Find every place your brand or products are mentioned online without a link — press, forums, blog roundups, product comparison sites — and reach out to convert each mention into a backlink.
Weekly posts on Google Business Profile and Bing Places designed as trust and freshness signals — the kind AI engines pick up when deciding whether your brand is currently active.
Topic and angle suggestions for LinkedIn articles by your founders or product team. Builds personal brand authority that ties back to the store entity.
Audit existing product reviews, set up collection flows for new ones, and monitor how AI engines summarize sentiment when shoppers ask about your products.
Short, scannable weekly report of what was done, what's next, and any blockers. No filler — designed to be read in two minutes.
Comprehensive monthly report covering rankings, traffic, conversions, AI citation visibility, and the activity completed against the plan.
Tie organic sessions to actual revenue using GA4 and Merchant Center data. Optionally segmented by category, region, and device.
A 45-minute call to review what worked, what didn't, and what changes scope or priority next month. Recorded with action items shared after.
Highly specialized content, custom creative assets, dev implementation, and paid placements are billed outside the standard retainer. No hidden fees — you'll always get a clear estimate before any extra work begins.
| Excluded Item | Billing Method |
|---|---|
| Content & product copywriting | Billed separately based on scope and word count |
| Technical & store implementation (dev work) | Billed separately based on dev effort and platform |
| Authority brand citations & paid placements | Charged at actual publisher cost — passed through, no markup |
| Product photography & creative assets | Charged separately based on design and production scope |
All extra-scope work is quoted in writing before kickoff. We don't bill surprises.
Yes. All three packages run the same six activity stacks — store setup, research, on-page, technical & AI-readiness, off-page, and reporting. What changes is the dedicated hours per month, which controls how many SKUs and categories we cover, how often we audit, and how aggressively we run authority and AI-signal work.
We tune product & category pages so they're cited in ChatGPT, Perplexity and Gemini shopping answers. That means valid Product schema, knowledge graph connectivity, NAP-consistent citations, review & sentiment signals, and weekly "AI Signal" posts on GBP & Bing — all the trust signals AI engines use to pick which store to cite.
Shopify, WooCommerce, Magento, BigCommerce, custom and headless stacks. For platform-specific implementation work (theme edits, app changes, dev tickets) we either work with your in-house dev team or quote that work separately under "technical & store implementation."
No — content & product copywriting is billed separately based on scope. The retainer covers the strategy and recommendations (titles, meta, GEO summaries, attribute enhancements, information gain gaps); execution of long-form copy is quoted up front so you only pay for what you actually need.
Technical fixes and schema improvements typically show in Search Console within 4–8 weeks. Category and product ranking lift usually takes 3–6 months depending on catalog size and competition. AI citation visibility (ChatGPT, Perplexity, Gemini) is a moving target — we track it weekly and report monthly.
Yes — packages are monthly retainers with no long-term lock-in. We recommend a minimum of 3 months to see meaningful traction, but you can move up to Revenue Accelerator or Market Leader (or scale back) at the end of any month.
Multi-region (hreflang), multi-store, marketplace presence (Amazon, Etsy), and headless commerce setups need a custom scope. Hit the "Request custom scope" link or our contact page with catalog size, target markets and platforms.
No — and you should be wary of any agency that does. Rankings depend on Google updates, competitor activity and your own product mix. What we do guarantee is the activity stack: audits, on-page work, schema, technical fixes, authority signals and AI-readiness — all transparently reported weekly and monthly.
Tell us your platform, catalog size and target markets — we'll send a scoped recommendation within one business day.
Supramind is a company of great repute with an experience of eleven years in the SEO Industry. We Are SEO Expert AGENCY & Work For Your Success..
INDIA
Unit no 4, Ground Floor, Omkar CHS, Sector - 5, Plot No - 78B, Behind Captain Hotel, KoparKhairane, Navi Mumbai - 400709
© Copyrights 2026. All rights reserved. Developed & maintained by Supramind Digital Pvt ltd
