GEO
Generative-engine optimization — visibility inside AI-generated answers, not just link results.
The problem
Generative engines synthesize answers from multiple sources rather than linking to a ranked list. Visibility depends on being part of the source material an AI draws from — a fundamentally different game from traditional rankings.
Our approach
- Benchmark current presence across major generative engines
- Identify which competitors are being cited and why
- Close content gaps in the specific formats generative engines draw from
- Strengthen entity and authority signals that support citation
Process
Benchmark
Establish your current visibility and accuracy across generative engines.
Analyze
Identify competitor citation patterns and content gaps.
Build
Develop content and structure targeting the identified gaps.
Track
Monitor visibility shifts and refine monthly.
Who this is for
- Companies competing in categories where AI Overviews now appear above search results
- B2B SaaS and technology companies with complex, comparison-heavy purchases
- Businesses that have noticed competitors appearing in AI answers where they don't
Deliverables
- AI visibility benchmark and competitor comparison
- Citation and source-gap analysis
- Generative-search content recommendations
- Monthly GEO monitoring report
Outcomes
- Improved visibility inside AI-generated answers
- Clearer competitive position against category leaders
- Content assets built specifically for generative-engine consumption
Frequently asked
When a meaningful share of your buyers' research happens through AI assistants rather than traditional search — common in technical B2B and SaaS categories where comparison research is heavy.
Make Your Brand Discoverable.
Talk to a strategist about where your buyers are searching, asking, and deciding — and where you're currently invisible.