Peec AI vs Otterly AI: AI Visibility Tracking Compared

Same Goal, Different Emphasis

Peec AI and Otterly AI both help you track where your brand appears in AI-generated answers. The core value proposition is similar: understand your AI visibility to inform content strategy.

The key difference is emphasis: analytics vs monitoring.

• Peec AI emphasizes analytics and reporting—understanding patterns, trends, and generating stakeholder-ready outputs
• Otterly AI emphasizes monitoring and alerts—knowing when things change and responding quickly

Analytics-First vs Monitoring-First

Peec AI: Analytics-First Workflow

Peec AI is designed for teams that want to analyze visibility data:

1. Configure tracking: Set up queries and brands to track
2. Collect data: Platform monitors AI platforms over time
3. Analyze patterns: Use dashboards to understand visibility trends
4. Generate reports: Create stakeholder-ready analytics outputs
5. Inform strategy: Use insights to prioritize content efforts

This workflow works well for teams that report regularly to stakeholders and want detailed visibility intelligence.

Otterly AI: Monitoring-First Workflow

Otterly AI is designed for teams that want to react to visibility changes:

1. Configure tracking: Set up queries and brands to track
2. Set alerts: Define when you want to be notified
3. Monitor changes: Platform watches for visibility shifts
4. Respond to alerts: Take action when things change
5. Stay current: Maintain awareness of visibility status

This workflow works well for teams that want real-time awareness and rapid response to visibility changes.

Which Workflow Fits Your Team?

Choose Peec AI's Analytics Workflow When:

• You report on AI visibility to executives, clients, or stakeholders
• You want to understand patterns and trends over time
• You prefer scheduled analysis over real-time monitoring
• You need detailed dashboards and exportable reports
• Your team has capacity for regular analytics review

Choose Otterly AI's Monitoring Workflow When:

• You want to know immediately when visibility changes
• You prefer alert-driven action over scheduled analysis
• You want faster setup with simpler workflows
• You need monitoring coverage without deep analytics
• Your team responds better to notifications than dashboards

Running a Comparison Pilot

To compare these platforms effectively:

Step 1: Choose a Query Set

Select 20-50 queries that matter for your business. Use the same queries in both platforms.

Step 2: Define Success Metrics

What do you want from visibility tracking? Decide before the pilot:

• Stakeholder reports? (Favors analytics-first)
• Quick alerts? (Favors monitoring-first)
• Pattern understanding? (Favors analytics-first)
• Real-time awareness? (Favors monitoring-first)

Step 3: Run Both for 2-4 Weeks

Give both platforms enough time to show their value. Track the same queries in both.

Step 4: Evaluate Fit

Which platform led to better decisions? Which workflow did your team actually use? Choose based on real experience, not feature comparisons.

The Execution Question

Neither platform creates content—they track visibility. If your bottleneck is content production, you'll need an execution tool alongside your tracking platform.

Common combinations:

• Tracking platform + execution platform (e.g., Peec AI + Rankwise)
• Tracking platform + manual content workflow
• Tracking platform + agency content production

Choose your tracking platform based on visibility needs, then address execution separately.