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Case Study: SaaS GEO Implementation

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This case study examines how a B2B SaaS company implemented GEO across their documentation and marketing content to achieve measurable AI search visibility.

A B2B SaaS company implemented GEO by restructuring 200+ documentation pages, adding schema markup, and creating definition-first content, achieving 340% growth in AI citations over 6 months.

Company Profile

AttributeDetails
IndustryB2B SaaS (Project Management)
Content volume200+ documentation pages, 50+ blog posts
Starting AI citations3 per month
Team size2 content + 1 developer
Budget$8,000/month

Challenge

The company noticed declining organic traffic despite strong SEO fundamentals. Investigation revealed:

  • AI assistants were answering product-related queries without citing them
  • Competitors were being cited for topics they pioneered
  • Documentation was comprehensive but poorly structured for AI extraction

Implementation

Phase 1: Audit (Weeks 1-2)

  • Crawled all pages with Screaming Frog
  • Tested 50 target queries across ChatGPT, Perplexity, and AI Overviews
  • Identified 0/50 queries with citations (baseline: 0%)

Phase 2: Restructure (Weeks 3-8)

  • Added answer-first definitions to all core pages
  • Implemented JSON-LD Article schema on 200+ pages
  • Created llms.txt and ai.txt files
  • Restructured content into topic clusters

Phase 3: Create (Weeks 9-16)

  • Published 30 new definition pages for key concepts
  • Created 10 comparison pages (vs competitors)
  • Added FAQ schema to all product pages

Phase 4: Optimize (Weeks 17-24)

  • Monthly citation tracking and content refresh
  • A/B tested answer formats
  • Expanded to cover adjacent topics

Results (6 Months)

MetricBeforeAfterChange
Monthly AI citations313.2+340%
AI referral traffic120 visits890 visits+642%
Queries with citation0/5018/500% → 36%
Documentation pageviews45,00062,000+38%

Key Learnings

  1. Definition pages are the highest-ROI content — Created once, cited repeatedly
  2. Schema markup had immediate impact — AI Overviews appeared within weeks
  3. Consistency matters — Regular publishing built topical authority
  4. llms.txt was discovered quickly — AI crawlers accessed it within days

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