Big catalogues.
Bigger blind spots.
For Shopify brands whose catalogue, store count or governance requirements run past the published tiers. What works today is labelled Available. Everything else carries its real state, including the controls a procurement team asks about first.
Who this is for.
Straight answers.
Enterprise in five definitions, before any conversation starts.
- What is Rank Sniper Enterprise?
- A contact-only arrangement for Shopify brands the published tiers do not fit: very large catalogues, several Shopify stores, or requirements a self-serve plan cannot answer. No enterprise price is published, because none has been set.
- Who is it for?
- Shopify Plus merchants and multi-brand groups; brands running separate storefronts per market or region; teams where merchandising, SEO, content and an outside agency all touch the same catalogue.
- What is available today?
- The public free scan on any of your storefronts Available, and the scoring rubric it runs, published in full at /rubric so your team can check every number against its own.
- How is it billed?
- Shopify is the only billing authority for Shopify merchants. Rank Sniper subscriptions and add-ons will be billed through Shopify when the app is available; nothing is charged on ranksniperhq.com. Enterprise does not open a separate billing channel.
- Is there SSO, an audit log or data residency?
- Not yet. Single sign-on Planned, a customer-facing audit log Planned, data-residency options Planned and custom pillar weighting Planned. Each is listed below with its state, not promised on a sales call.
At catalogue scale,
drift is the default.
Large Shopify catalogues rarely fail loudly. They fail in the long tail, where nobody looks product by product.
Ten thousand products means ten thousand chances for a missing product type, a templated description an answer engine cannot quote, a variant with no SKU, or a price rendered twice by two apps that each think they own the markup. Imports, supplier feeds and seasonal merchandising overwrite fields faster than any team can re-check them by hand.
Several Shopify stores multiply the problem. Storefronts split by region or brand drift apart: one publishes llms.txt, one blocks GPTBot, one ships a theme update that strips its structured data. Leadership sees revenue by store, but not whether AI systems can read, cite or act on each one.
Governance adds the last layer. The more people and partners who touch a catalogue, the more an organisation needs to know who can see what, who changed what, and how to put it back.
Start with evidence.
Check our numbers.
Before any requirement is discussed, the scan and the rubric give your team something concrete to test.
Every storefront
Run the free scan on each of your stores and compare composite and pillar scores side by side, today, without an install.
AI-crawler policy
Which AI crawlers each store’s robots.txt admits or blocks. Across several stores this is where inconsistencies show first.
Full report
The complete report by emailed sign-in link. In beta while end-to-end link redemption is verified.
Enterprise requirements.
Each one labelled.
The questions an enterprise buyer asks, answered with the state of each capability as it stands, not as a roadmap slide.
Organisational visibility
One view across several Shopify stores, with scores, catalogue size and last scan per store. It is the same portfolio capability the agency lane uses.
Full-catalogue reads
Reading the whole catalogue through the Shopify Admin API instead of public pages, which is what scoring every product in a large catalogue requires.
Scan volume and cadence
Recurring re-scans across a large catalogue, with drift detection and alerts. Today, scans run on demand.
Reporting and export
Reports and exports per store, built from the same scores your team sees.
White-label reports
Reports under your own mark, for groups that report to brands, franchisees or regional teams.
Permissions
Organisation members with per-store permissions, so a regional team or an outside agency sees only its own stores.
Single sign-on
Sign-in through your identity provider.
Customer audit log
A record of who did what, visible to you. Rank Sniper keeps an internal operator audit trail today, but it is not exposed to customers.
Data residency
A choice of where your data is stored.
Custom pillar weighting
Weighting the four pillars to your priorities. One canonical scoring contract comes first, so every custom weighting is measured against the same base.
Live store intelligence
Scores and history on your live store data from the Shopify app. This depends on the app-to-Command Center path, which is in development.
Support
Support tickets between your team and Rank Sniper staff, handled through the Command Center.
Every change,
traceable and reversible.
Operational observability is a loop, not a dashboard. This is the loop the Shopify app is being built around, and the state of each stage today.
- MOV-01Available
Scan
Read each storefront the way crawlers and agents do.
- MOV-02Planned
Connected read
Read the full catalogue through the Shopify Admin API.
- MOV-03Planned
Fix
Metadata and restructure fixes, applied by the Shopify app.
- MOV-04Planned
Verify
Re-check what agents actually receive after each fix.
- MOV-05Planned
Roll back
Versioned rollback on every write.
- MOV-06Planned
Monitor
Recurring re-scans, drift detection and alerts.
- MOV-07Planned
History
Score and version history, so a change can be traced to when it happened.
Four pillars.
At catalogue scale.
The same four pillars score every store, always in this order: SEO, AEO, GEO, AIO. The definitions are published verbatim. The line under each is what the pillar looks like across thousands of products.
SEO
Whether conventional search engines can crawl, parse, and rank the catalogue.
At scale: the long tail of products with no type, thin tags or duplicate variant URLs.
Engage →AEO
Whether the catalogue can be lifted as a direct answer to a shopper's question.
At scale: templated descriptions an answer engine has to paraphrase instead of quote.
Engage →GEO
Whether generative engines will cite this store when composing a recommendation.
At scale: one storefront blocking an AI crawler that the others allow: that agent cannot read that store, and only its score carries the capped penalty.
Engage →AIO
Whether an AI system can correctly parse and act on the record without guessing. Includes transactability as a named sub-score.
At scale: variants without SKUs and prices rendered twice by competing apps, which leaves records an agent cannot act on.
Engage →Bring the requirements.
Get straight answers.
Send your catalogue size, store count and the controls you must clear. Each gets its real state in the reply.
Useful to include:
- Approximate product and variant counts, per store.
- How many Shopify stores, and which markets or brands they serve.
- Who needs access: internal teams, regions, outside agencies.
- Your identity provider, if single sign-on is a requirement.
- Any data-residency or security review you have to pass.
