Built for Shopify The buyer researches for six weeks before they ever log in.
B2B purchasing is a long, quiet, mostly anonymous process. A procurement lead builds a shortlist from search results and AI answers months before anyone requests a quote. If your catalog sits entirely behind a login, you are not on that shortlist. StoreSEO makes the public half of a wholesale store specification-rich, structured and quotable.
StoreSEO is the AI SEO Agent for Shopify merchants — a Shopify app that optimizes your store for Google and gets it cited by ChatGPT, Gemini, Claude and Perplexity.
4.9/5 from 650+ Shopify reviews
What you get
- Clusters
- of specification and part-number queries
- JSON-LD
- customizable for industry schema
- GSC
- query data pulled into the app
The problem
The catalog is gated, so it is invisible
Price-hidden and login-only catalogs give crawlers nothing to index. The store ranks for the company name and absolutely nothing else, while competitors with public spec pages take the research traffic.
Buyers search by specification, not by marketing
They search part numbers, materials, tolerances, certifications and minimum order quantities. Product pages written like consumer copy match none of it.
Long sales cycles need to survive AI summaries
Procurement teams increasingly shortlist via AI assistants. If your specifications are not in structured, quotable form, the assistant summarizes a competitor instead.
How StoreSEO works for a wholesale catalog
Six capabilities aimed at the research phase that happens long before the login screen.
Keyword cluster generator
Builds the cluster of specification, application and part-number queries around each product family, so you can see the research vocabulary buyers actually use.
Build keyword clustersFAQ schema for specifications
Minimum order quantity, lead time, certification, material, tolerance — the questions every buyer asks, published as structured data an assistant can quote verbatim.
Publish spec FAQsCustom JSON-LD
Wholesale catalogs need structured data that generic apps do not emit. Custom JSON-LD lets you describe your products the way your industry describes them.
Customize JSON-LDCollection page optimization
For B2B, the product family page is the money page. Optimizing collections against head terms is usually worth more than any individual SKU.
Optimize collectionsLocal business schema
Regional distributors win on proximity and service area. Local schema tells search engines where you actually ship from and serve.
Add local schemaSearch Console integration
Shows the specification queries you already surface for, which is the fastest way to learn the vocabulary of a market you sell into but do not shop in.
Connect Search ConsoleWays people use it
Concrete situations, tagged by who hits them. Each one names the trigger and what to set up.
Inbound quote requests dried up
The pipeline depends entirely on outbound because nobody finds the site.
When
When inbound is a rounding error against outbound.
Set up
Optimize public family pages against head terms and publish specification FAQs.
Competitors appear in AI shortlists
A buyer mentions they asked an assistant and got three suppliers, none of them you.
When
Any time a prospect mentions AI research.
Set up
Publish LLMs.txt and AI snippets, then track brand visibility.
The whole catalog is login-only
Zero indexable product content on a store with 4,000 SKUs.
When
Before assuming SEO cannot work for a gated store.
Set up
Publish specification-level family pages publicly, keep pricing gated.
Part numbers return nothing
Buyers search a manufacturer part number and your listing never appears.
When
When the catalog carries cross-referenced parts.
Set up
Add part numbers to titles and structured data, and cluster them as keywords.
Regional distributor, national competitors
You serve three states but rank nowhere for any of them.
When
When service area is a real differentiator.
Set up
Enable local business schema and optimize regional pages.
Certifications are a buying criterion
Compliance requirements decide the shortlist and are buried in a PDF.
When
In regulated or specification-driven categories.
Set up
Publish certifications as FAQ schema and AI snippets on family pages.
The prompts
Connect your store via the StoreSEO MCP server or the AI Toolkit, then paste any of these into Claude. They are written for this kind of store, not as a generic template.
Using StoreSEO, audit which of my pages are publicly indexable given my B2B catalog is gated. Optimize every public collection and product-family page against its head term, generate keyword clusters for specification and part-number searches, and add FAQ schema covering minimum order quantity, lead times and certifications. Show me which pages went from unoptimized to optimized.
Using StoreSEO, add FAQ schema to my product family pages answering the questions a procurement buyer asks: minimum order quantity, lead time, certifications, materials, bulk pricing process and shipping regions. Generate AI snippets for each so AI assistants can quote them, then regenerate LLMs.txt.
Using StoreSEO with Search Console connected, show me the specification and part-number queries my store already appears for, cluster them by product family, and tell me which clusters have pages and which do not. Then optimize the pages that exist and list the ones I should create.
Run it from Claude
What actually happens when you ask. An illustrative trace of the tool calls the agent makes on your behalf.
> Our catalog is behind a login. Make the public side rank for specification searches.
- · audit_public_pages — 34 collection pages indexable, 0 with optimized copy
- · generate_keyword_clusters — spec, application and certification terms per family
- · optimize_collections — head terms applied to all 34 family pages
- · add_faq_schema — MOQ, lead time and certification questions published
- · customize_jsonld — industry-specific product properties added
- · submit_for_indexing — public pages queued with Google
The public catalog now answers specification queries with structured data, months before a buyer requests a login.
In your industry
9 businesses that run this kind of store, each with its own story and its own prompt.
Questions
Our prices are hidden behind a login. Can we still do SEO?
Yes, and it matters more than for most stores. Keep pricing gated and publish the specification layer — product families, materials, tolerances, certifications, lead times and minimum order quantities — as public, structured content. That is what buyers search during the research phase, which is where B2B shortlists are actually built.
Do B2B buyers really use AI assistants to find suppliers?
Increasingly, yes, particularly for building an initial shortlist. Whether or not an assistant names you depends on whether your specifications exist in quotable, structured form. AI snippets, FAQ schema and LLMs.txt are how you make that content available.
Should we optimize product pages or collection pages first?
Collections, almost always. In B2B the product family page matches how buyers search and consolidates authority across dozens of near-identical SKUs, so it is the higher-value page to optimize first.