Watch rival catalogs — act only on real changes
Add a competitor by domain and Comver verifies it is a Shopify store, renders and screenshots its pages, and diffs each new snapshot against the last — only a real change becomes a signal. Its B2B twin will read the pages that matter to a wholesale buyer: the catalog, the trade-programme page, the MOQ and volume-tier tables, the terms. Competition is in Beta for DTC; the catalog watch is on the roadmap.
- Roadmap product — no date announced
- Shopify stores only — verified before tracking
- Before and after side by side, never speculative
AI B2B Commerce Competition · Alerts
northridge-supply.com · catalog page · scan 2 of 2 compared with scan 1
Volume tiers published and MOQ halved on the refill range
northridge-supply.com · Previous signal: trade price on request, MOQ 24 · Current signal: three published tiers, MOQ 12, net 30 banner
Copilot interpretation
They are opening the programme to smaller accounts and letting buyers self-serve the tier. Impact: potentially meaningful for first orders — worth a test on your catalog.
Recommended response
Show your own tier table on the refill catalog page and A/B it against the quote-only version.
Illustrative roadmap interface — fictional competitor. Price-change tracking is not a detector today.
10
Competitors tracked per store
Any public Shopify storefront; up to 3 selected as primary for the side-by-side matrix
5
Screenshots per scan
Homepage, product page and cart on desktop, plus mobile homepage and product page — full-page, cookie banners dismissed first
2
Snapshots behind every signal
The two latest completed scans are diffed deterministically; the first scan is the baseline
8
CRO audit dimensions per rival
Homepage, product page, trust, offer, cart, mobile, checkout readiness and fundamentals — 0–100 each
These figures describe Competition as it ships today, in Beta, for Shopify DTC stores. Catalog and trade-programme detection is on the roadmap — nothing here is a B2B measurement or screenshot.
Verified Shopify, before the first scan
Type a public store domain and Comver checks three independent sources of evidence — HTML signatures, response headers and live catalogue and cart probes — and combines them into one confidence score. Confirmed stores are tracked; anything below the line is refused rather than tracked with guesses. Pick a monitoring cadence and the alert types you care about, and the first scan starts on the spot. For wholesale the same gate applies: a rival distributor’s Shopify catalog is a storefront like any other.
- Only public domains — localhost, private ranges and internal networks are blocked before any request is made
- Up to 10 tracked competitors per store, each with its own cadence and selectable alert types
- Pause and resume monitoring per competitor; run a scan on demand at any time
Add competitor
Comver verifies the public Shopify storefront, captures its identity and starts the first monitored scan. 6 / 10 tracked.
Public store domain
Segment
Monitoring frequency
Alert types
Select all · Clear allShopify verification
Three independent evidence sources, one confidence score
Tracked from 0.6. Below that the store is refused, never tracked with guesses.
Two snapshots. One real difference.
Every scan extracts the same structured data Comver uses for your own scan and captures full-page screenshots. From the second scan onward the two latest snapshots are diffed deterministically — offer and promotional messaging, trust signals, hero and call-to-action copy, product-page elements, cart type and upsells, catalogue growth. Nothing is inferred from a single page. The B2B twin adds the wholesale signals: a published volume-tier table, a changed minimum order quantity, a new trade-programme or terms page, a catalogue that grew by 40 SKUs.
- The AI interprets each diff — intent, a qualitative impact, a 0–100 relevance score and a priority
- Only high and medium priority changes become alerts; high-priority ones also land on the Copilot timeline
- The first scan is the baseline: “Changes will appear after the next completed scan.”
Product page · aurelle.shop
Desktop 1280×800Before · scan 1 · 8d ago
After · scan 2 · 2h ago
Detected changes — aurelle.shop
Differences detected between consecutive scans. Only a real change on the page becomes a signal.
A queue that opens on what matters
Every signal is scored for severity and impact and shown with before and after side by side, the previous and current signal, a Copilot interpretation, the potential business impact and a recommended response you can send to execution.
Triage by priority, by competitor or on a timeline
A scan status strip — needs attention, unread, monitoring capacity, last scan — then the alert list with severity badges and unread markers, and the alert detail: before and after previews, previous and current signal, Copilot interpretation, potential business impact and recommended response. Mark resolved, compare with your own store, or open the live page.
Competition Alerts
Market intelligence liveReview meaningful competitor moves, understand their impact and route the right response into execution.
Needs attention
High-impact changes to review
2
Unread
New market signals
2
Monitoring
Systems healthy
6/10
Next scan
Last 2h ago
On demand
Alerts · 4 market changes
2 unreadSubscription option and free-shipping bar added to hero products
Aurelle · aurelle.shop
Before
After
Copilot interpretation · Moving the hero product to replenishment revenue and lowering the first-order threshold — worth a test on your store.
Everything Comver can read from a public catalog
The scanner renders each storefront in a real browser, dismisses cookie banners and popups, and extracts structured data with the same pipeline that audits your own store. Only what a rival publishes is ever read — nothing behind a trade login.
Catalog page
Title, meta description, hero copy and the primary call to action — whether the page asks for a quote or lets a buyer add to an order.
Volume tiers & MOQ
Published tier tables, case and pallet quantities and minimum order quantities, where a rival chooses to show them rather than hide them behind a login.
Trade programme
Trade or wholesale application pages, terms, credit and net-payment messaging, and the proof they use to make a first order feel safe.
Product & spec pages
Specification blocks, comparison tables, certifications, downloadable documents, lead times and delivery information.
Trust signals
Reviews and case studies, certifications, returns and warranty pages, contact routes and how easy it is to reach a human.
Catalogue & technical
A sampled catalogue from the public products feed, platform confirmation, status code, load time and page weight.
Only what is published and diffable
This is the agent where it is easiest to promise too much, so the limits come first — and they are the same limits the DTC product ships with today.
No
Price tracking, on either side
There is no price-drop, promotion-ended or traffic-change detector today. A tier table appearing or disappearing is a structural diff; a number moving inside it is not tracked
—
Rival revenue, traffic and conversion
Not publicly measurable, so they are shown as unavailable rather than estimated — for accounts as for shoppers
0
Signals from a single page
Two consecutive completed snapshots are diffed; the first scan is only a baseline and raises nothing
Competition is in Beta today and off by default: scans run when a competitor is added and on demand, and the stored cadence does not yet drive scheduled scans. Everything behind a rival’s trade login is invisible, and always will be.
Frequently asked questions
No — and it will not pretend to. There is no price-tracking detector today, for DTC or B2B: the diff engine reports structural changes such as a tier table being published or a minimum order quantity changing in the page copy, not the movement of a number inside a price list. Most wholesale pricing also sits behind a trade login, which Comver never attempts to enter.
Public Shopify storefronts only. Comver confirms Shopify via HTML signatures, response headers and live catalogue and cart probes; if it cannot confirm, the store is refused rather than tracked with guesses. Up to 10 competitors per store, with up to 3 selected as primary for the comparison matrix.
It diffs the two latest completed snapshots deterministically — offer and trust signals added or removed, hero or call-to-action copy changed, product-page elements toggled, cart type or upsells changed, catalogue growth. The AI then interprets intent, estimates a qualitative impact, scores relevance and sets a priority; only high and medium changes raise alerts.
The plan is structural, published signals: a volume-tier table appearing on a catalog page, a minimum order quantity changing in the copy, a trade-programme or terms page added, new certifications or downloadable specifications, and catalogue growth. Anything requiring a trade login, and any price movement inside a tier, is out of scope.
No — and it says so. Those are not publicly measurable, so they are shown as unavailable rather than estimated. What is measured is the score family Comver computes from its own scans, plus product counts and detected changes.
No. There is no theme embed, script or extra Shopify scope — Comver reads competitors’ public sites from its own scanner. You enable the Competition module and add domains.
The prompts forbid inventing traffic, revenue or conversion, require every score to be justified by detected signals and every recommendation to cite evidence and propose a testable adaptation. If the AI is unavailable a deterministic heuristic audit runs instead and is labelled as such, and impact language stays qualitative.
All of Competition, in Beta, on any Shopify store — verified competitors, real screenshots, deterministic diffs and ranked alerts. What is missing until AI B2B Commerce arrives are the wholesale-specific detectors and the account context that would tell you which of your own accounts a rival’s move puts at risk.
Keep exploring
Know when a rival catalog moves — and what to do about it
Add your first competitor domain today and see the diff engine work on real storefronts. Then join the B2B waitlist and tell us which wholesale signal you would want caught first.
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