GEO for SaaS: Getting Your Product Recommended by AI

"What's the best project management tool for small teams?"

"CRM software for startups - what do you recommend?"

"Compare Notion vs Coda vs Slite"

Software buyers ask AI these questions every day. The products that appear in AI responses capture significant market share.

Why GEO Matters for SaaS

47%

of B2B buyers use AI during vendor research

1st

mentioned products get disproportionate attention

💡 Opportunity: SaaS has high AI visibility potential because there's abundant content about software online. But competition is fierce.

The SaaS GEO Framework

1. Review Platform Presence

Platform	Priority	Focus
G2	Critical	Most influential for B2B
Capterra	Critical	SMB focus
TrustRadius	Important	Enterprise buyers
Product Hunt	For launches	Early adopters, tech audience

✅ Review Strategy

• Proactively request reviews from happy customers
• Respond to all reviews
• Address concerns in negative reviews
• Aim for high volume and recency

2. Comparison Content

AI often handles comparison queries. Own the narrative:

📝 Create

• "[Your Product] vs [Competitor]" pages
• Category comparison guides
• "Best X for Y" content
• Feature comparison tables
• Use case comparisons

💡 Strategy

• Be fair and accurate about competitors
• Highlight where you genuinely excel
• Address where competitors might be better
• Update regularly as features change

Why it works: Your comparison content becomes training data and search results that AI references.

3. Use Case Content

Help AI understand who you're for:

📚 Create content for each use case:

• "[Product] for [team type]"

• "[Product] for [industry]"

• "[Product] for [company size]"

• "How [customer type] uses [Product]"

4. Technical Documentation

📖 AI values clear product information

• Comprehensive feature documentation

• API documentation

• Integration guides

• Help center / knowledge base

• Changelog and updates

Category-Specific Strategies

📋 Productivity Tools

• Emphasize specific workflows
• Template libraries and examples
• Integration ecosystem
• Team size optimization

💼 CRM / Sales Tools

• Industry-specific features
• Integration with sales stack
• Reporting capabilities
• ROI and results claims (with proof)

📈 Marketing Tools

• Results and performance claims
• Integration with marketing stack
• Use case specificity
• Customer examples

👨‍💻 Developer Tools

• Technical documentation quality
• Community and ecosystem
• Performance benchmarks
• Open source components

Queries to Optimize For

🏷️ Category

"Best [category] software"
"Top [category] tools for 2026"
"[Category] recommendations"

⚖️ Comparison

"[Product] vs [Competitor]"
"Compare [product list]"
"Alternative to [competitor]"

👥 Use Case

"[Category] for [team type]"
"Software for [specific use case]"
"[Category] for [industry]"

❓ Problem

"How to [solve problem]"
"Software to help with [task]"
"Tool for [specific need]"

Common Mistakes

✗

Ignoring review platforms

G2 reviews heavily influence AI recommendations.

✗

No comparison content

If you don't create it, competitors will.

✗

Generic positioning

AI recommends specific solutions. Be specific about who you're for.