What's the Final Step?

Last updated: 2025-11-10

Short answer: Tracking and optimization with live dashboard.

Why tracking matters: GEO isn't set-it-and-forget-it. AI models update. Competitors optimize. New prompts emerge. You need continuous monitoring and adjustment to maintain and grow your citations.

What your dashboard shows:

1. Daily Citation Tracking

We run your key prompts through ChatGPT, Claude, Perplexity, and Gemini every day. You see exactly which AI models cite you for which questions. No manual testing. No guessing. Just data.

2. Visibility Score Trends

Watch your score change week over week. You started at 15. Now you're at 42. That's real progress. You're being cited almost 3x more often than when you started.

3. Competitor Analysis

See which competitors are gaining ground and which are losing. If a competitor suddenly jumps in citations, we investigate why and adjust your strategy.

4. Prompt Performance

Some prompts trigger citations consistently. Others never do. We identify high-value prompts worth optimizing for and low-value prompts to ignore.

5. AI Model Breakdown

You might dominate in Claude but be invisible in ChatGPT. The dashboard shows your performance across each AI so we know where to focus optimization effort.

What we do with this data:

  • Adjust content structure based on what's working
  • Add new case studies when old ones stop getting cited
  • Respond to competitor moves before they hurt your visibility
  • Test new prompt categories as customer behavior evolves
  • Refine messaging when AI models update their algorithms

Want to see what a live GEO dashboard looks like? Email [email protected] for a demo showing real client data.

The optimization cycle: Every week, we review your dashboard. We see what changed. We make adjustments. You see improved results. This cycle continues as long as you're optimizing for AI citations.

Bottom line: The final step isn't final—it's ongoing. We track, optimize, and improve continuously. Your visibility score goes up because we're constantly adjusting based on real performance data.