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What are Chats?

Chats are the individual AI responses collected for your prompts. Each chat represents a real interaction with an AI platform using one of your configured prompts. Reviewing chats gives you direct insight into what AI assistants say about your brand.

Chat Overview

What You See

For each chat, you can view:
  • The prompt: The question that was asked
  • The AI platform: Which AI generated the response
  • The model: Which specific model version
  • The full response: Complete AI response text
  • Extracted data: Brands mentioned, positions, sentiment

Chat List

The chat list shows all collected responses with key metrics:
ColumnDescription
PromptThe question asked
PlatformChatGPT, Claude, Perplexity, etc.
Your BrandWhether you were mentioned
PositionYour ranking (if mentioned)
SentimentPositive, neutral, or negative
DateWhen collected

Reading a Chat

Response Structure

AI responses typically follow patterns:
  1. Introduction: Context or summary
  2. Main recommendations: List of options
  3. Details: Explanation of each option
  4. Conclusion: Summary or additional guidance

Brand Mentions

We highlight where your brand and competitors appear:
  • Your brand: Highlighted in green
  • Competitors: Highlighted in different colors
  • Position indicators: Show ranking order

Sentiment Indicators

Visual indicators show sentiment:
  • Positive language highlighted
  • Negative language flagged
  • Neutral sections unmarked

Chat Analysis

Why Review Individual Chats?

Individual chat review helps you:
  • Understand context: See exactly what AI says
  • Identify patterns: Notice recurring themes
  • Find opportunities: Spot improvement areas
  • Verify data: Confirm automated analysis

What to Look For

When reviewing chats, consider:
What words and phrases does the AI use for your brand?
  • Positive descriptors: “industry-leading”, “highly recommended”
  • Neutral: “one option is”, “includes”
  • Negative: “limitations include”, “some users report”
Understand the AI’s reasoning:
  • What criteria is it using?
  • What makes brands get mentioned first?
  • Why might you be excluded?
Learn from competitors who rank higher:
  • What benefits are highlighted?
  • What differentiators are mentioned?
  • What sources might the AI be using?
AI can have outdated or wrong information:
  • Incorrect features
  • Outdated pricing
  • Wrong positioning
  • Missing capabilities

Chat Filtering

Filter Options

Narrow down chats to find relevant insights:
  • By platform: See only ChatGPT, Claude, etc.
  • By prompt: Focus on specific questions
  • By mention status: Only where you’re mentioned (or not)
  • By position: Filter by ranking
  • By sentiment: Focus on positive or negative
  • By date range: Analyze specific periods

Saved Filters

Save commonly used filters:
  • “ChatGPT mentions this week”
  • “Negative sentiment responses”
  • “Top 3 position only”
  • “Not mentioned”

Chat Comparison

Across Platforms

Compare how different AI platforms respond to the same prompt:
  • Does ChatGPT favor different brands than Claude?
  • Is Perplexity more current with information?
  • Which platform gives you better visibility?

Over Time

See how responses change:
  • Has your visibility improved?
  • Are descriptions becoming more positive?
  • Has position changed?

Against Competitors

Compare mention patterns:
  • Who gets mentioned most consistently?
  • Who gets better descriptions?
  • Who appears in first position most often?

Acting on Chat Insights

Content Opportunities

Chats reveal content gaps:
  • Topics where AI lacks information about you
  • Features that aren’t mentioned
  • Use cases where you’re not recommended

Correction Opportunities

Find information to correct:
  • Outdated information
  • Incorrect feature descriptions
  • Missing recent developments

Competitive Intelligence

Learn from competitor analysis:
  • What makes them get recommended?
  • What content might be driving visibility?
  • What positioning is working?

Chat Export

Export Options

Export chat data for further analysis:
  • CSV: Raw data for spreadsheet analysis
  • PDF: Formatted report for sharing
  • JSON: Structured data for integration

What’s Included

Exports include:
  • Full response text
  • Extracted brand mentions
  • Position and sentiment data
  • Metadata (date, platform, model)

Next Steps