How to monitor SKU visibility weekly.

How people do this without eCommerce Insights

The manual version of this job dies within three weeks. You set a calendar reminder: "check ChatGPT and Perplexity every Monday." Week one, you do it. Week two, you skim. Week three, you skip. Week four, you notice the traffic slip in a meeting and realize you haven't checked in a month.

Or you build a Google Sheet with ten prompts and add a column each week. Week one is clean. Week two you discover variance in the answers and debate whether it is real. Week three the sheet is behind. Week four nobody is looking at it.

The real problem with ad-hoc weekly checks is that AI visibility is boring the weeks nothing changes and urgent the week something breaks — and manual processes cannot distinguish between them. You need a system that watches the boring weeks and interrupts you on the urgent ones.

How to do this in eCommerce Insights

1. Connect your Shopify store. Install eCommerce Insights or use Partner auth. The first full-catalog scan runs within the hour and establishes the baseline.
2. Segment your catalog. Tag SKUs by segment — top-100 hero, new arrivals (last 30 days), clearance (end-of-season), seasonal (summer/winter). eCommerce Insights pulls Shopify product tags automatically and lets you add eCommerce Insights-only tags for internal segmentation.
3. Configure digest delivery. Pick recipients (usually VP of Ecom and head of SEO; agency owners get per-brand digests). Pick the day and time (Monday 8am local is default). Select which engines and which segments to include. Each recipient can have a different filter.
4. Receive the Monday digest. The email arrives with five sections:
   • Headline. Your catalog's AEO score this week and the change since last week. One line.
   • Biggest winners. Three SKUs whose AI visibility scores moved up the most. Named, scored, annotated.
   • Biggest regressions. Three SKUs that dropped. Each includes a likely cause: schema broken on theme update, review count fell, competitor launched a rival SKU.
   • Catalog health. Distribution of SKUs across readiness tiers with week-over-week delta.
   • Three recommended fixes. Specific PDP changes with expected score lift. This is the actionable section.
5. Act on the three recommended fixes. Each fix links to the specific PDP, the suggested change (diff-style where applicable), and the expected score lift if shipped. Ship them, mark as done, rerun the scan, watch the next Monday's digest for the lift.

After four weeks of digests, the rhythm becomes automatic: Monday morning, 9am, open the email, triage the three fixes with your team, and get on with the day. No calendar reminder. No missed weeks.

What "good" looks like

• Open rate 90%+ within the eCommerce Insights team. If the digest is being skipped, it is too broad. Tighten the segmentation.
• Every weekly digest leads to at least one shipped fix. The three-fix section is the measurable output; if fewer than one fix lands per week, the recommendations are too complex or the team is too thin.
• QoQ AEO score moves up 5-15 points for catalogs actively following the digest rhythm. Lifts outside that range usually signal either very aggressive optimization (one-off rebuilds) or a process that has drifted (no fixes shipping).
• Zero calendar reminders. The digest arrives; the team reviews; the fixes ship. No scheduler needed.
• A twelve-month digest archive. The archive is the record of catalog optimization and a source of the year-end narrative for leadership.

Related jobs

Related tools

• AEO Grader — free snapshot before starting the weekly rhythm.
• Shopify SKU Visibility Grader — five-SKU preview of the per-SKU score surface in the digest.