Google Search Console dashboard
Product Management

Using Google Search Console for Product Planning

James G
James G

Founder

November 7, 20259 min read

Why Search Data Matters for Product

Every month, billions of searches reveal exactly what people want. This data is a goldmine for product planning:

  • Unfiltered demand: Users aren't influenced by your marketing
  • Scale: Aggregate patterns from millions of searches
  • Intent: Understand not just what, but why
  • Trends: See emerging needs before competitors

What Google Search Console Reveals

GSC provides free access to your search data:

Queries People Use

See the exact phrases people search to find you:

  • Feature requests ("product + feature name")
  • Pain points ("how to solve X")
  • Comparisons ("your product vs competitor")

Click-Through Rates

Low CTR on important queries means:

  • Your title/description doesn't resonate
  • Users aren't finding what they need
  • Opportunity to improve messaging

Search Position

Track how you rank for key terms:

  • Monitor movement over time
  • Identify quick wins (positions 4-10)
  • Find gaps where you don't rank at all

Turning Search Data into Product Decisions

Step 1: Export Your GSC Data

Download queries for the last 3-6 months:

  • Sort by impressions
  • Filter for product-related terms
  • Identify patterns

Step 2: Categorize Queries

Group searches by intent:

Intent TypeExample QueryProduct Action
Feature Request"product + dark mode"Add to backlog
Pain Point"how to export from product"Improve UX
Comparison"product vs competitor"Create comparison page
Question"does product do X"Add to FAQ or build feature

Step 3: Prioritize by Volume

High-impression queries = high demand:

  • 10K+ impressions: Priority 1
  • 1K-10K impressions: Priority 2
  • Under 1K: Consider carefully

Automating GSC Integration

Manually analyzing GSC is time-consuming. Tools like reBacklog can:

  • Connect directly to your GSC account
  • Automatically categorize queries
  • Generate user stories from search data
  • Prioritize based on search volume

How It Works

  • Connect your GSC account
  • reBacklog analyzes your search data
  • AI generates product insights
  • User stories created from real demand
  • From Search to Stories

    Example transformation:

    Search Query: "how to export trello cards to spreadsheet" (2.4K monthly impressions) AI-Generated Story:
    As a Trello user,
    

    I want to export my cards to a spreadsheet,

    So that I can analyze my data offline.

    Search Volume: 2.4K/month

    Competition: Medium

    Opportunity Score: High

    Try reBacklog with GSC integration →
    This article was generated by SeoMate - AI-powered SEO content generation.

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