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What Scheduled Prompts Are

Scheduled Prompts are automated queries that run on AI platforms at regular intervals. Instead of manually checking how ChatGPT, Google AI Overview, or other AI platforms respond to specific questions, you set up prompts to run automatically—daily, weekly, or monthly. Each time a scheduled prompt runs, Slate captures the AI response, analyzes brand mentions, tracks citations, and measures your visibility against competitors. Over time, this builds a historical dataset showing how AI platform responses change.

Why Schedule Prompts

AI-generated responses aren’t static. The same query asked today might produce different results next week as AI platforms update their models, index new content, or adjust their algorithms. Scheduled prompts help you:
  • Track visibility trends: See if your brand is gaining or losing presence in AI responses over time
  • Monitor competitor mentions: Understand when and how often competitors appear in responses
  • Measure content impact: Determine if new content or campaigns improve your AI visibility
  • Catch narrative shifts: Identify when AI platforms change how they describe your industry or brand
  • Automate monitoring: Save time by letting Slate track queries continuously instead of manual checks

How Scheduled Prompts Work

1. Create a Prompt

Write a query that AI platforms will answer. This should be a question or search term relevant to your brand, product, or industry. Examples:
  • “What are the best project management tools for remote teams?”
  • “Top AI-powered marketing platforms in 2025”
  • “How to choose a CRM for small businesses”

2. Select Platforms

Choose which AI platforms should answer your prompt:
  • ChatGPT: Track mentions in ChatGPT responses
  • Google AI Overview: Monitor Google’s AI-generated summaries
  • Google AI Mode: Track results in Google’s AI search mode
You can select one platform or all platforms to compare how responses differ.

3. Assign a Topic

Tag your prompt with a topic to organize related queries. Topics help you filter and analyze prompts by theme. Example topics:
  • SaaS Marketing
  • SEO for SaaS
  • Product Comparisons
  • Industry Trends

4. Set a Schedule

Define how often the prompt should run:
  • Daily: Daily monitoring for high-priority queries
  • Weekly: Weekly tracking for broader trend analysis
  • Monthly: Monthly monitoring for long-term visibility trends

5. Track the Prompt

Once configured, the prompt becomes active and runs automatically based on your schedule. Each execution captures the AI response and updates your analytics data.

Managing Scheduled Prompts

Search and Filter Prompts

Search by prompt: Use the search bar to quickly find specific queries you’ve scheduled. Filter by platform: Show only prompts running on specific AI platforms (ChatGPT, Google Overview, etc.). Filter by topic: View prompts grouped by topic to analyze category-specific tracking.

Prompt Actions

Each scheduled prompt has several management options:

Play

Run the prompt immediately without waiting for the next scheduled time. Use this when you want to capture fresh data right away. When to use:
  • After publishing new content
  • When you notice industry news that might affect AI responses
  • To test prompt configuration before waiting for the scheduled run

Edit

Modify the prompt text, platforms, topic, or schedule. What you can edit:
  • Prompt text (the actual query)
  • Selected platforms
  • Topic assignment
  • Schedule frequency and time
  • Active/inactive status
Note: Editing a prompt doesn’t affect historical data. Past results remain intact, but future runs use the updated configuration.

Delete

Remove the prompt and all its historical data permanently.
Deleting a prompt is permanent. All query history and results will be lost. If you want to pause a prompt temporarily, use the Edit action to deactivate it instead.

View Query History

Open a modal showing all past executions of the prompt, including:
  • Execution timestamps
  • Status of each run (success, error, etc.)
  • Link to view detailed results from each execution

Query History Details

When you click “View Query History,” you’ll see: Total executions: How many times the prompt has run (e.g., “12 of 12 Prompts”) Query details: The exact prompt text and topic for each run Last run: Timestamp of when each execution completed Actions per execution:
  • View Results: See the AI response, brand mentions, citations, and competitive rankings from that specific run
  • Download: Export the results data
  • Delete: Remove a specific execution from history
This history lets you compare how AI responses evolve over time and identify when significant changes occur.

Best Practices

1. Start with High-Value Queries

Focus on prompts that directly relate to your business goals. Prioritize:
  • Product comparison queries where you want visibility
  • “Best of” lists in your category
  • How-to questions related to your solution
  • Industry trend queries
Avoid:
  • Generic queries unrelated to your business
  • Queries where your brand is irrelevant

2. Use Consistent Scheduling

Match schedule frequency to query importance and volatility. Daily scheduling for:
  • Competitive product searches
  • High-priority brand visibility queries
  • Fast-moving industry topics
Weekly scheduling for:
  • General industry trends
  • Broader “best of” lists
  • Educational how-to queries
Monthly scheduling for:
  • Long-term brand awareness tracking
  • Stable industry topics
  • Benchmark queries

3. Organize with Topics

Group related prompts under topics to simplify analysis. Example topic structure:
  • Product Comparisons: All queries comparing your product to competitors
  • Brand Awareness: Queries where brand mentions matter most
  • Industry Education: How-to and educational queries
  • Competitor Monitoring: Queries focused on competitor visibility

4. Monitor Query History Regularly

Review execution history to identify trends and anomalies. Weekly review:
  • Check for failed executions
  • Identify sudden changes in brand mentions
  • Compare latest results to previous runs
Monthly review:
  • Analyze trends across all prompts
  • Adjust prompts that aren’t providing useful insights
  • Add new prompts based on content strategy

5. Balance Prompt Volume

More prompts provide more data, but focus on quality over quantity. Guidelines:
  • Start with 10-20 high-priority prompts
  • Add more as you understand which queries provide value
  • Remove or deactivate prompts that consistently show no relevant data

Common Use Cases

Track Product Visibility

Goal: Monitor how often your product appears in AI-generated recommendations. Setup:
  • Create prompts like “best [product category] for [use case]”
  • Run daily or weekly depending on competition
  • Track position in AI responses over time
Example: “Best project management tools for agencies”

Monitor Competitor Mentions

Goal: Understand when competitors are mentioned instead of your brand. Setup:
  • Use the same prompts as product visibility tracking
  • Analyze competitor mention frequency in Query History
  • Identify content gaps where competitors dominate
Example: “Top CRM platforms for small businesses”

Measure Content Impact

Goal: See if new content improves AI visibility. Setup:
  • Schedule prompts for topics you’re creating content about
  • Run before and after publishing content
  • Compare mention frequency and citation rates
Example: “How to improve email deliverability rates” (before/after publishing a guide)

Track Industry Narrative

Goal: Monitor how AI platforms describe your industry or category. Setup:
  • Create prompts about industry trends, definitions, or best practices
  • Run weekly or monthly
  • Track changes in how AI platforms frame the industry
Example: “What is AI-powered marketing automation?”

Defend Brand Accuracy

Goal: Ensure AI platforms cite accurate information about your brand. Setup:
  • Create prompts that should mention your brand
  • Check cited sources in Query History results
  • Identify outdated or incorrect information being cited
Example: “What features does [Your Product] offer?”

What’s Next

Now that you understand Scheduled Prompts:
  • Create your first scheduled prompt to track a high-priority query
  • Review Query History to analyze execution trends
  • Set up topics to organize your prompts by theme
  • Explore the Overview tab to see how prompt data feeds analytics