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ReviewIQ

AI review intelligence for Shopify: auto-summarize PDP reviews, track weekly sentiment themes, and benchmark competitor narratives. Cited market data, competitor pricing, and a weekend MVP build plan.

Shopify merchants live and die by product page conversion. Reviews are the highest-trust social proof on a PDP—yet most stores either dump a 200-review wall on shoppers or hide reviews behind tabs nobody opens. DTC operators ($500K–$5M GMV) feel this acutely: big enough that a 0.3% conversion lift pays for software, too small to employ a CX analyst who manually reads every new review and rewrites summary copy each quarter. The pain is chronic, not one-off. community research community signals show recurring threads in r/ecommerce and r/Shopify asking how to “summarize reviews on product pages” and whether AI review widgets hurt SEO. Merchants already pay for Yotpo, Loox, or Judge.me—those tools excel at collection and display, not at turning review text into refreshed, theme-aware summary blocks and competitor narrative benchmarks. Manual curation breaks at scale: a catalog refresh means re-reading hundreds of SKUs. That gap is ReviewIQ’s wedge: intelligent review synthesis with weekly sentiment drift and competitor intel, not another star-rating widget.

Built for Solo Founders, Side Hustlers.

Suggested stack: Shopify App (Remix + Polaris), Supabase (Postgres + RLS), OpenAI / Anthropic, Vercel + Cron, Upstash Redis, Resend. Weekend scope: about 10 hours.

The Problem

Shopify merchants live and die by product page conversion. Reviews are the highest-trust social proof on a PDP—yet most stores either dump a 200-review wall on shoppers or hide…

The Solution

ReviewIQ is an AI review intelligence layer for Shopify. It ingests your product reviews via the Shopify Admin API, clusters them by theme (fit, durability, shipping, value), and…

Market Research

$16.8B global online ratings & reviews market in 2025, projected to reach $31.5B by 2029 at ~17.3% CAGR (Mintel / The Business Research Company via community research).

Competitive Landscape

Yotpo — Enterprise-grade reviews, loyalty, and SMS; strong at collection and syndication, weak at merchant-facing AI summary blocks refreshed on a schedule. From ~$15–29/month…

Business Model

Starter ($29/mo) — Up to 3 stores, weekly AI summaries, Theme App Extension embed, email drift alerts

Recommended Tech Stack

Shopify App (Remix + Polaris) — Official app template: OAuth, Admin API review sync, Billing API for $29/$99 tiers, Theme App Extension for summary blocks.

AI Prompts to Build This

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  1. 1. Project Setup

    Build the weekend MVP of "ReviewIQ": upload a product's reviews, see which themes are rising or falling week by week, and get a short pros and cons summary you approve before it goes anywhere. It does not publish to a store.
    
    Stack: Next.js (App Router), TypeScript, Tailwind, Supabase (Postgres, Row Level Security, Auth with email magic link), the Anthropic API to tag themes and write the summary. Reviews come in by CSV exported from a review app. Counting and drift are plain code. Deploy on Vercel.
    
    Tables (Row Level Security on, each user reads only their own rows):
    - products(id, user_id, title, external_ref)
    - reviews(id, product_id, external_id, body, rating, created_at)
    - summary_versions(id, product_id, pros jsonb, cons jsonb, phrases jsonb, period_start, approved_at)
    - drift_events(id, product_id, theme, delta_pct, week_of)
    
    Screens: /login, /products, /products/[id] (reviews in, themes and the summary), /drift.
    Env vars (names only): NEXT_PUBLIC_SUPABASE_URL, NEXT_PUBLIC_SUPABASE_ANON_KEY, SUPABASE_SERVICE_ROLE_KEY (server only), ANTHROPIC_API_KEY.
    
    Do not build: billing, plans or an enterprise tier, store or Admin API sync, a theme extension, competitor scraping, a weekly cron, email alerts, product analytics.
    Done when: npm run dev starts, you can sign in, and the four tables exist with Row Level Security on.
  2. 2. Core Feature

    Build the one feature that proves ReviewIQ: a summary built from real quotes, and drift you can verify by counting.
    1. Import a CSV for a product with columns external_id, rating, body, created_at. Skip reviews already imported.
    2. Tag themes with the Anthropic API in batches of 50 reviews with a strict JSON schema { items: [{ review_id, themes: ("fit" | "durability" | "shipping" | "value" | "other")[], sentiment: "positive" | "neutral" | "negative" }] }.
    3. Count in code, per week, the share of that week's reviews that mention each theme, split by sentiment. Create a drift_event when a theme's share moves by 15 percentage points or more from the previous week, and both weeks have at least 20 reviews. Show the counts with the event.
    4. Write the summary: ask the Anthropic API for 3 pros, 3 cons and the most quoted phrases as JSON where every phrase is a verbatim quote with the review id. Check in code that each quote appears in that review. Drop any that do not.
    5. The product page shows the draft summary with editable text, an Approve button that sets approved_at and a Copy button for the approved block.
    6. /drift lists the events with the week, the theme and the change.
    Rules: never show a phrase that is not a real quote. Never publish anything anywhere. Say how many reviews each summary is based on.
    Empty state: with no products, show the CSV columns and a sample file.
    Done when: a sample of 300 reviews tags every review, a theme that jumps 20 points between two full weeks creates a drift event, a made-up quote is dropped, and Approve is required before Copy appears.
  3. 3. Landing Page

    Build a one-page landing site for ReviewIQ, review summaries and drift alerts for online stores.
    Hero: "Turn 200 reviews into three sentences shoppers will read." Sub: "Upload your reviews. See what customers keep saying, what changed this week and a summary you approve." One button: Join the waitlist.
    Sections: the review-wall problem, a sample summary with its real quotes, how it works in four steps (upload, tag, check drift, approve), and an FAQ on which review apps export a file that works, how quotes are checked and what is coming next (a storefront block).
    Waitlist: store the email in a waitlist table in Supabase. No other service.
    Style: Geist, a warm paper background, ink type, one emerald accent for summary chips and one amber accent for drift warnings.
    Done when: the page renders on a phone and a submitted email appears in the waitlist table.
  4. 4. Branding Package

    Use a design or image tool for this one. A coding agent cannot draw a logo.
    Brand for ReviewIQ: a wordmark and a speech-bubble and star mark that stays readable at 16 pixels.
    Colors: ink (#0F1115), paper (#FCFAF7), emerald (#10B981) for positive themes and amber (#F59E0B) for drift. Type: Geist for the interface, Geist Mono for theme percentages.
    Deliverables: favicon, an empty-state illustration ("Reading 847 reviews"), a summary block mockup, a drift alert layout, and one launch graphic.
    Done when: each deliverable is saved in one folder and the favicon is readable at 16 pixels.