AI Store Launch Checklist: 30-Day Plan for a New Shopify Store

Why this matters

Most new Shopify stores fail for predictable reasons: thin catalog data, weak policies, missing tracking, and “AI” that produces content with no review loop. This 30‑day plan forces baseline readiness first (catalog + policies + analytics), then adds AI as an accelerator—not a crutch.

• Day 1–7: make your catalog and policies “AI‑ready” (structured data, consistent naming, clean images, clear shipping/returns).
• Day 8–14: ship conversion-critical content (PDP, collection copy, FAQ) with human QA and measurement.
• Day 15–21: optimize discovery (site search + collections) and confidence (reviews, trust, support macros).
• Day 22–30: launch with guardrails, then run a weekly review loop to improve one metric at a time.

Framework / workflow

Week 0 (Prep): define the launch scope

• Pick one primary offer: hero product / hero collection (avoid a “department store” launch).
• Define the conversion promise: who it’s for, why now, and what problem it solves.
• Set a KPI baseline: Sessions, Add‑to‑Cart rate, Checkout started, Conversion rate, AOV, Refund rate.

Week 1: Catalog + policy readiness (Gate 1)

• Catalog contract: titles, options, variants, SKUs, taxonomy, shipping profile, sizing/fit data.
• Media readiness: 4–8 images per PDP, consistent background, at least 1 “use” shot, alt text.
• Policy truth: shipping, returns, warranty, cancellation—aligned with how you actually operate.
• Tracking: GA4 + Shopify analytics + conversion events; test checkout completion in a sandbox flow.

Week 2: Content that converts (Gate 2)

• PDP content pipeline: brief → AI draft → human QA → publish → measure.
• Collection pages: short “above the fold” helper copy + longer SEO section below products.
• FAQ generation: answer top objections (shipping time, fit, materials, compatibility, warranty).
• Email basics: welcome + abandoned cart (simple, 2–3 messages each).

Week 3: Discovery + trust + support ops (Gate 3)

• Site search tuning: synonym map, collections mapping, “no results” recovery, top queries audit.
• Merchandising rules: pin best sellers, hide OOS when appropriate, enforce variant availability.
• Trust stack: reviews, UGC, guarantees, clear shipping estimates, payment + security signals.
• Support macros: triage intents + escalation rules; prevent hallucinated promises.

Week 4: Launch + weekly review loop (Gate 4)

• Soft launch: limited traffic, verify tracking and support quality before scaling.
• Experiment rhythm: ship one improvement per week (landing page, PDP section, search rules, email).
• Stop‑loss rules: define when to roll back (refund spike, CSAT drop, inventory issues).

Templates / prompts

Use these prompts to produce consistent, policy-safe outputs. Replace bracketed fields with your store data. Always review before publishing.

1) PDP description prompt (fact-grounded)

You are writing a Shopify product description for:
- Product title: [TITLE]
- Category: [CATEGORY]
- Materials/specs: [SPECS]
- Variants/options: [OPTIONS]
- Use cases: [USE_CASES]
- Brand voice: [VOICE RULES]
Rules:
1) Use only the facts above. If something is missing, output a "Missing facts" list.
2) No shipping/returns promises. Link to policies instead.
Output:
A) 2-sentence hook
B) Benefit bullets (5)
C) Specs (table-like list)
D) FAQ (3 Q&As based on likely objections)

2) Collection page SEO block prompt (non-spam)

Write collection page copy for: [COLLECTION NAME]
Inputs:
- Audience intent: [INTENT]
- Product constraints: [PRICE RANGE / MATERIALS / COMPATIBILITY]
- Key differentiators: [DIFFS]
Rules:
- First paragraph: 60–90 words, helpful to shoppers.
- SEO paragraph (below products): 250–450 words, no keyword stuffing.
- Include 3 internal links: [PDP], [Related collection], [Policy/FAQ].
- Include "How to choose" bullets (5).
Return HTML-ready text only.

3) Support macro prompt (policy-safe)

Create a customer support macro for intent: [INTENT]
Use only these policy excerpts:
[PASTE SHIPPING POLICY]
[PASTE RETURNS POLICY]
[PASTE WARRANTY POLICY]
Rules:
- Confirm what you know vs what you need.
- Offer next steps and an escalation path.
- Never invent dates or coverage.
Output:
Subject line + 120–200 word reply + required agent checks.

Execution layer: 30-day launch gates

Checklist

This checklist is structured as gates. Don’t “launch everything”—ship the next gate only when the previous one is true.

Gate 0: Tracking + hygiene (Day 1)

• GA4 installed and verified (page_view + add_to_cart + begin_checkout + purchase).
• Shopify Analytics baseline recorded (sessions, CVR, AOV).
• One test order completed end-to-end (tax, shipping, payment, confirmation email).

Gate 1: Catalog readiness (Day 2–7)

• Top 20 products have: correct variants, SKUs, price, inventory, shipping profile.
• Each PDP has: 4+ images, clear option labels, size/fit info (if relevant).
• Collections mapped to intent (not just categories): “best sellers”, “new”, “giftable”, etc.

Gate 2: Content readiness (Day 8–14)

• PDP descriptions pass fact-check (no invented claims).
• Collection pages include a short helper paragraph + longer SEO block.
• FAQ answers match your policy pages; no contradictions.

Gate 3: Conversion + trust (Day 15–21)

• Shipping estimate displayed consistently (cart + checkout + PDP where applicable).
• Returns / warranty summarized with a link to full policy.
• Support macros ready for top 10 intents (shipping status, returns, cancel, address change, damaged item).

Gate 4: Launch ops (Day 22–30)

• Soft launch traffic verified (ads/email/organic) with clean attribution.
• Weekly review scheduled: one KPI, one hypothesis, one change, one measurement.
• Stop-loss: refund rate and ticket volume thresholds defined.

FAQ

Use these FAQs as a starting point, then rewrite answers to match your store’s actual policies and product constraints.