Prompts - Overview

Define the queries you want to monitor across AI search platforms

What are Prompts?

Prompts are the questions or search queries you want to track across AI platforms like ChatGPT, Perplexity, Claude, and Gemini. Each prompt represents a specific search scenario where you want to monitor your brand's visibility and understand how AI platforms respond.

Think of prompts as the equivalent of keywords in traditional SEO, but for the age of generative AI search.

Key Features

  • Multi-Platform Execution - Run the same prompt across ChatGPT, Perplexity, Claude, and Gemini
  • Automated Scheduling - Set prompts to run daily, weekly, biweekly, or monthly
  • Geographic Targeting - Execute prompts from different regions to see localized results
  • Manual Execution - Run prompts on-demand for immediate insights
  • Performance Tracking - Monitor how each prompt performs over time
  • Flexible Configuration - Customize providers, geo-locations, and frequency per prompt
  • Bulk Management - Organize prompts into groups for easier scheduling

How Prompts Work

1. Create a Prompt

Define the query you want to monitor:

  • Enter your question or search query
  • Choose which AI providers to query
  • Select geo-locations for execution
  • Set execution frequency
  • Add optional tags and categories

2. Schedule or Run

Decide when the prompt executes:

  • Scheduled - Runs automatically based on frequency setting
  • Manual - Execute on-demand from the dashboard
  • Group - Include in prompt groups for batch execution

3. AI Platform Query

When executed, Geosaur:

  • Sends your prompt to selected AI platforms
  • Collects full AI responses
  • Records response metadata
  • Tracks execution time and status

4. Analysis & Detection

The system analyzes each response:

  • Detects your brand mentions using aliases
  • Identifies competitor mentions
  • Calculates position and visibility
  • Extracts source citations
  • Analyzes sentiment and context

5. Results Storage

All data is saved for historical analysis:

  • Full AI responses stored
  • Mentions tracked with context
  • Sources cataloged
  • Metrics calculated
  • Trends updated

Types of Prompts

Informational Queries

Questions seeking information or explanations:

  • "What are the best project management tools?"
  • "How does email marketing automation work?"
  • "What features should I look for in a CRM?"

Comparison Queries

Direct brand or product comparisons:

  • "Salesforce vs HubSpot comparison"
  • "Mailchimp or Constant Contact for small business"
  • "Asana vs Trello vs Monday.com"

Solution-Seeking Queries

Problems users are trying to solve:

  • "How to improve email open rates"
  • "Best way to manage remote teams"
  • "How to automate social media posting"

Buying Intent Queries

Queries indicating purchase consideration:

  • "Which CRM should I buy for my startup?"
  • "Best email marketing platform for ecommerce"
  • "Top-rated project management software 2025"

Prompt Frequency Options

Daily

Best for:

  • High-priority competitive keywords
  • Active campaign monitoring
  • Real-time brand awareness tracking

Credit usage: 30 credits/month (1 provider, 1 geo)

Every Other Day

Best for:

  • Important but less volatile queries
  • Secondary market monitoring
  • Budget-conscious tracking

Credit usage: 15 credits/month (1 provider, 1 geo)

Weekly

Best for:

  • Broad industry queries
  • Long-term trend tracking
  • Category positioning

Credit usage: 4 credits/month (1 provider, 1 geo)

Biweekly

Best for:

  • Experimental queries
  • Low-priority monitoring
  • Quarterly trend analysis

Credit usage: 2 credits/month (1 provider, 1 geo)

Monthly

Best for:

  • Industry report queries
  • Seasonal tracking
  • Annual comparison data

Credit usage: 1 credit/month (1 provider, 1 geo)

Benefits

For Marketing Teams:

  • Track brand presence in AI recommendations
  • Monitor campaign impact on visibility
  • Identify content opportunities from AI responses
  • Benchmark against competitors

For Content Teams:

  • Discover what questions AI platforms answer
  • Identify content gaps and opportunities
  • Understand which sources get cited
  • Optimize content for AI visibility

For SEO Teams:

  • Adapt traditional SEO for AI search
  • Track GEO (Generative Engine Optimization) performance
  • Monitor SERP-to-AI correlation
  • Optimize for source citation

For Product Teams:

  • Track feature mentions in AI responses
  • Monitor product comparisons
  • Identify market positioning
  • Gather competitive intelligence

Use Cases

  1. Brand Awareness - Track how often AI platforms mention your brand
  2. Competitive Intelligence - Monitor competitor visibility across queries
  3. Content Strategy - Identify high-value topics and questions
  4. Market Research - Understand how AI positions your category
  5. Campaign Measurement - Track visibility changes during campaigns
  6. Source Strategy - Identify which sources drive AI mentions

Best Practices

Start Small

  • Begin with 5-10 essential prompts
  • Test and refine before scaling
  • Monitor credit usage patterns
  • Add more as you learn

Focus on Quality

  • Choose prompts where your brand should appear
  • Match user intent and search patterns
  • Test prompts manually first
  • Refine based on results

Balance Coverage

  • Mix broad and specific prompts
  • Include competitor comparison queries
  • Cover different stages of buyer journey
  • Test various phrasings

Optimize Scheduling

  • Match frequency to query importance
  • Consider budget constraints
  • Adjust based on volatility
  • Review performance monthly

Getting Started

  1. Plan your queries - List the most important searches for your brand
  2. Create your first prompt - Start with a high-priority query
  3. Run it manually - Test detection and results quality
  4. Set the schedule - Configure frequency based on importance
  5. Monitor results - Review dashboard for insights

Next Steps

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