RankPilot AI Pro SEO dashboard
Back to portfolio

RankPilot AI Pro: AI-Powered SEO at Scale

GPT-driven meta tags, content optimization, and keyword research—embedded where merchants already work in Shopify Admin.

40%

Avg. ranking lift

4.9★

App Store rating

50+

Merchant reviews

View live app
RankPilot AI Pro SEO dashboard

The challenge

SEO was a bottleneck for growing catalogs

Merchants struggle with SEO optimization—thousands of products with weak meta tags, thin descriptions, and no time for keyword research.

  • Manual meta writing does not scale
  • Inconsistent tone and keyword targeting
  • No data-driven prioritization of pages to fix

Our solution

Approach & timeline

AI-powered meta tag and content generator using OpenAI, with merchant review queues and bulk apply via Shopify GraphQL.

8 weeks including AI prompt tuning and bulk GraphQL mutations

Why Next.js

App Router and API routes host the embedded admin UI and secure OpenAI proxy—keeping API keys off the client.

Why Shopify GraphQL

Bulk productUpdate mutations and metafields scale to large catalogs without REST rate-limit pain.

OpenAI integration

Structured JSON outputs with Zod validation, token budgeting per batch, and cached prompts per product type.

Product

Features showcase

Meta tag generator UI

Auto meta tag generator

Generates title tags and meta descriptions from product title, type, tags, and competitor-aware keyword hints.

  • GPT-4 for premium tier
  • GPT-3.5 for bulk runs
  • Character limit guards
Content optimization panel

Content optimization

Rewrites product descriptions for readability and search intent while preserving brand voice settings.

  • Tone presets
  • Before/after diff view
  • One-click revert
Keyword research dashboard

Keyword research

Clusters long-tail keywords per collection and scores opportunity based on catalog gaps.

  • Search volume estimates
  • Cannibalization warnings
  • Export to CSV
Trigger
Process
Review
Publish
Bulk update queue

Bulk SEO updates

Queue hundreds of products, review AI suggestions in a grid, and publish approved rows in batches.

  • GraphQL bulk operations
  • Progress polling
  • Error row retry

Engineering

Technical architecture

Next.js admin app, API route for OpenAI, GraphQL bulk layer, and Redis-backed job status for long runs.

OpenAI structured meta generation
typescript
const result = await openai.chat.completions.create({
  model: "gpt-4o-mini",
  response_format: { type: "json_object" },
  messages: [
    { role: "system", content: SEO_SYSTEM_PROMPT },
    { role: "user", content: buildProductContext(product) },
  ],
});

const parsed = metaSchema.parse(JSON.parse(result.choices[0].message.content));
Bulk publish to Shopify
graphql
mutation productUpdate($input: ProductInput!) {
  productUpdate(input: $input) {
    product { id seo { title description } }
    userErrors { field message }
  }
}

Impact

Results

Organic CTR

Baseline+28% avg.

Search rankings

Stagnant+40% avg.

Time to optimize 500 SKUs

3 weeks1 afternoon
  • Improved search rankings by an average of 40%
  • Bulk SEO for large catalogs in hours, not weeks
  • Merchant review step prevents off-brand AI copy

“RankPilot cut our SEO workload dramatically. We optimized hundreds of products in an afternoon instead of weeks.”

E-commerce Manager — Fashion brand

Built with

Tech stack used

Next.js

Embedded admin and secure API routes

TypeScript

Typed GraphQL and Zod-validated AI outputs

OpenAI API

Meta and description generation

Shopify GraphQL

Bulk product SEO updates

Polaris

Native Shopify admin UX

PostgreSQL

Audit logs and job history

Need a similar solution? Let's build it together

We design and ship Shopify apps, AI features, and automation systems like RankPilot AI Pro—from idea to App Store.

Direct answer

GPT-driven meta tags, content optimization, and keyword research—embedded where merchants already work in Shopify Admin.

Sources & references

  1. RankPilot AI Pro case study
  2. RankPilot AI Pro
  3. CodeQubex — Official website
  4. CodeQubex on LinkedIn
  5. CodeQubex on GitHub