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Diagnostic

What a 30-day Shopify Catalog visibility report should contain

Published

What a 30-day Shopify Catalog visibility report covers

A 30-day Catalog visibility report covers six sections: channel performance month-over-month (from the Agentic Storefronts admin), ranking queries week-over-week (which queries surface which products), product-data recommendations applied (which suggestions were actioned), AI prompt test results (10-20 category queries across ChatGPT / Perplexity / Gemini), competitor share of voice (which competitors surface for the same queries), and prioritized next actions for the next 30 days. The report is a working document, not an audit summary.

The data source is largely the Agentic Storefronts admin1 with supplementary AI prompt testing the admin doesn't capture. The Agentic Storefronts help page2 describes the admin's data; the report extends that data with longitudinal tracking the admin doesn't surface natively.

The six report sections

Each section answers a specific operating question. Channel performance: which channels are growing or shrinking? Ranking queries: which queries are surfacing which products? Product-data recommendations: which Shopify-surfaced fixes have been applied? AI prompt tests: where are competitors surfacing instead? Share of voice: how is the competitive landscape moving? Next actions: what's the priority for the next 30 days?

SectionQuestion it answersData source
Channel performance MoMWhich channels are growing or shrinking?Agentic admin
Ranking queries WoWWhich queries surface which products?Agentic admin
Product-data recs appliedWhich suggestions were actioned?Agentic admin + audit log
AI prompt testsLive surfacing across ChatGPT/Perplexity/GeminiManual prompt testing
Share of voiceCompetitor surfacing in same queriesManual prompt testing
Prioritized next actionsWhat to do in the next 30 daysSynthesis

Weekly vs monthly cadence

Mixed cadence. Channel performance and ranking queries: weekly check (the admin updates faster than monthly, and a 4-week trend is more useful than a single snapshot). AI prompt tests: weekly during the first 60 days post-launch, biweekly thereafter. Product-data rec audit: weekly during active rewrite passes, monthly during steady state.

The full report assembles weekly captures into a monthly narrative. The narrative includes the deltas, the surprises, and the prioritized next actions. Without the deltas, the report reads as a static audit; with them, it reads as a working document.

Format and delivery

Delivered as a PDF or a hosted page (depending on client preference). 8-12 pages typical. The first page is an executive summary; the middle pages are per-section data; the last page is prioritized next actions. The format favors scannability — most clients read the first page and the last page in detail, the middle pages by section as needed.

The report should be a working document, not a deliverable artifact that gets archived after a single read. Use it as the agenda for the next 30-day check-in meeting; flag the priority items for execution.

30-day report template checklist

Eight items to capture in the report template. Most stores benefit from a fixed template that's reused month over month — the consistency makes deltas legible.

  1. Executive summary (one page): headline metrics + 3 priority actions.
  2. Channel performance table: MoM impressions, surfacing rate, attributed orders per channel.
  3. Ranking queries table: top 20 queries surfacing your products + 5 queries you expect to rank for but don't.
  4. Product-data recommendations: list applied vs pending; status per product.
  5. AI prompt test results: 10-20 category queries × 3 engines, with surfacing/citation noted.
  6. Share of voice: top 3 competitors per category query.
  7. Prioritized next 30 days: 3-5 actions ranked by impact and effort.
  8. Appendix: raw data from the Agentic admin export.

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