Company Profile
Industry: Project Management Software
Size: 150+ pages
Location: Europe
Challenge: Missing from AI recommendations
Duration: 9 months
ARR: $2M → $3.5M
The Challenge
When prospects asked AI assistants for project management tools, they weren't mentioned. Competitors dominated AI recommendations despite having inferior products. Initial GEO-Score: 48/100.
The Approach
1. Feature Documentation
Created comprehensive pages for each major feature (800+ words each). Included use cases, screenshots, and integration details.
2. Use Case Content
Built dedicated pages for different industries (agencies, software teams, construction). Showed real-world applications.
3. Comparison Pages
Created honest comparisons vs. top 5 competitors. AI engines cited these when making recommendations.
4. Knowledge Base
Expanded docs with 100+ how-to guides. AI used these to answer user questions about their product.
Results After 9 Months
+200%
Qualified Leads
85
Average GEO-Score
75%
ARR Growth
- Now cited in 9 out of 10 AI responses for project management software
- Featured as top recommendation for agencies and creative teams
- Lead quality improved significantly (better fit, higher close rate)
- Customer acquisition cost decreased by 40%
Key Learnings
Comprehensive feature pages matter: AI engines need detailed information to make accurate recommendations. Thin feature lists aren't enough.
Use case content builds authority: Industry-specific pages helped AI understand which customers they serve best.
Comparison content is valuable: Honest competitor comparisons got cited frequently by AI engines.
"AI recommendations now drive 40% of our pipeline. This is our fastest-growing acquisition channel."
— Head of Growth
Apply These Strategies
- GEO for SaaS Companies
Complete SaaS optimization guide
- Content Comprehensiveness
Write thorough feature pages