Execution Schedule

Automated Monitoring

Regular prompt execution is essential for tracking AI visibility trends over time. SearchRank AI allows you to schedule automatic prompt execution, ensuring consistent monitoring without manual intervention.

Why Schedule Executions?

• Consistency: Regular data points reveal true trends
• Automation: Save time with hands-off monitoring
• Early Detection: Catch changes in AI recommendations quickly
• Historical Data: Build comprehensive visibility history

Setting Up a Schedule

1. Navigate to your domain's Prompt settings
2. Select the prompt you want to schedule
3. Click "Schedule" or "Automation Settings"
4. Choose your frequency and timing
5. Save your schedule

Scheduling Options

Daily Execution

Best for: High-priority prompts and fast-moving markets

Schedule: Every day at 9:00 AM
Use Case: Core product recommendation queries
Example: "Best AI visibility tools"

Weekly Execution

Best for: General monitoring and trend analysis

Schedule: Every Monday at 8:00 AM
Use Case: Competitive comparisons
Example: "Alternatives to [Competitor]"

Bi-Weekly Execution

Best for: Broader market queries

Schedule: 1st and 15th of each month
Use Case: Industry trends
Example: "Leaders in [Industry]"

Monthly Execution

Best for: Long-term tracking and baseline comparisons

Schedule: First Monday of each month
Use Case: Quarterly benchmarking
Example: "Top 10 [Category] companies"

Building Your Schedule Strategy

Tiered Approach

Tier 1 - Critical Prompts (Daily):
- Main product category queries
- Direct competitor comparisons
- High-traffic use cases

Tier 2 - Important Prompts (Weekly):
- Secondary use cases
- Broader competitor landscape
- Feature-specific queries

Tier 3 - Monitoring Prompts (Monthly):
- Industry trends
- Market positioning
- Long-term sentiment

Coverage Planning

Distribute prompts across the schedule:

Monday: Product discovery prompts
Tuesday: Competitor analysis prompts
Wednesday: Use case prompts
Thursday: Industry-specific prompts
Friday: Experimental/new prompts

Time Zone Considerations

Set execution times based on:

• Your target audience's active hours
• When you want reports available
• Load distribution across the day

Recommended Times

Morning (9 AM): Fresh start, results ready for workday
Midday (12 PM): Good for global coverage
Evening (6 PM): Overnight processing, results in morning

Batch Scheduling

Group related prompts for efficient scheduling:

Creating a Batch

1. Select multiple prompts
2. Click "Schedule Batch"
3. Set shared schedule for all selected
4. Save batch configuration

Batch Examples

Batch: "Core Monitoring"
Prompts: 5 main product queries
Schedule: Daily at 9:00 AM

Batch: "Competitive Intel"
Prompts: 10 competitor comparison queries
Schedule: Weekly on Mondays

Batch: "Market Research"
Prompts: 8 industry trend queries
Schedule: Monthly on 1st

Managing Schedules

Pausing Schedules

Temporarily stop execution without deleting:

• During website updates
• While reviewing strategy
• To conserve API credits

Modifying Schedules

Adjust based on results:

• Increase frequency for important prompts
• Decrease for stable, unchanging results
• Change timing for better data collection

Deleting Schedules

Remove when no longer needed:

• Prompts that don't provide value
• Outdated queries
• Redundant monitoring

Notification Settings

Configure alerts for scheduled executions:

• Completion Notifications: Know when executions finish
• Error Alerts: Be notified of failed executions
• Significant Changes: Alert when visibility shifts dramatically

Resource Management

API Credit Usage

Each scheduled execution consumes API credits. Plan accordingly:

Daily prompts: 5 prompts × 30 days = 150 credits/month
Weekly prompts: 10 prompts × 4 weeks = 40 credits/month
Monthly prompts: 8 prompts × 1 = 8 credits/month

Total: ~198 credits/month

Optimization Tips

• Prioritize high-value prompts for frequent execution
• Group similar prompts in batches
• Review and remove underperforming prompts
• Monitor credit usage in billing dashboard

Troubleshooting Schedules

Missed Executions

• Check schedule is active (not paused)
• Verify time zone settings
• Confirm sufficient API credits

Inconsistent Results

• Normal variation in AI responses
• Track trends rather than individual results
• Review execution logs for errors

Best Practices

1. Start with weekly schedules and adjust based on needs
2. Use daily execution only for critical monitoring
3. Distribute execution times to avoid rate limits
4. Review and optimize schedules monthly
5. Set up notifications for important changes
6. Monitor credit usage and adjust accordingly

Master prompt optimization with Best Practices.