What Gumshoe Does Well
Gumshoe has developed an innovative approach to AI brand analysis. Here's what they excel at:
- ✓"Share of LLM" Metric: Gumshoe introduces a clear metric for measuring brand mention frequency relative to competitors in AI outputs, giving marketers a familiar KPI to track.
- ✓Synthetic Conversation Generation: They generate thousands of synthetic conversations to probe AI behavior at scale, providing comprehensive coverage of potential queries.
- ✓Brand Narrative Analysis: Gumshoe focuses on understanding how AI models talk about brands and why they recommend certain products, providing qualitative insights.
- ✓Persona-Based Analysis: Their approach considers different user personas and contexts, providing nuanced insights into how AI recommendations vary.
Why Aiso Provides Real Customer Insights
Real Conversations vs. Synthetic Queries
Gumshoe generates synthetic conversations to test AI behavior. Aiso shows you the actual conversations happening in ChatGPT right now, revealing what real customers are asking, not what models might respond to.
Gumshoe's Approach
- • Synthetic conversation generation
- • Simulated AI queries
- • Modeled user behavior
- • Estimated query patterns
Aiso's Approach
- • Real ChatGPT conversations
- • Actual user prompts
- • Genuine search behavior
- • Verified query data
1Grounded in Reality, Not Simulation
Gumshoe's synthetic queries tell you how AI models might respond to hypothetical questions. Aiso shows you what real people are actually asking ChatGPT about your brand, products, and industry.
When you see a conversation in Aiso, you're seeing an actual query someone typed into ChatGPT. This isn't simulation or modeling—it's the real thing, happening right now.
2Customer Intent That Synthetic Data Can't Capture
Synthetic queries can test AI behavior, but they can't reveal the nuances of how real customers think, phrase questions, or approach problems. Aiso's real conversation data captures these subtleties.
Real customers ask questions in ways that synthetic queries don't predict. They use specific language, reveal underlying concerns, and show intent patterns that only emerge from actual usage.
3Strategic Recommendations Based on Real Behavior
Because our data comes from real conversations, every insight we provide is based on what customers are genuinely searching for. This means your content strategy is informed by actual customer intent, not theoretical models.
Gumshoe can tell you how AI might respond to certain queries. Aiso shows you exactly what questions your customers are asking AI right now, so you can answer them directly.
Feature Comparison
| Feature | Gumshoe | Aiso |
|---|---|---|
| Data Foundation | Synthetic conversation generation | Real ChatGPT conversations |
| Customer Insights | Modeled behavior analysis | Actual user queries |
| Brand Analysis | ✓ Share of LLM metric | Real conversation context |
| Strategic Recommendations | Based on synthetic queries | Based on real queries |
| Persona Analysis | ✓ Persona-based insights | Real customer behavior |
| Content Roadmap | Planned FAQ generation | Real conversation insights |
When Aiso is the Better Choice
Choose Aiso if you want:
- •Real customer insights: See actual conversations, not synthetic queries
- •Grounded strategy: Base your marketing on what customers actually ask, not simulated behavior
- •Customer intent clarity: Understand how people think about your brand in real conversations
- •Actionable recommendations: Get advice based on real queries your customers are making right now
Stick with Gumshoe if you need:
- •Comprehensive synthetic query testing across many scenarios
- •Share of LLM metric for competitive benchmarking
- •Persona-based analysis of AI recommendation patterns