Skip to content
AI <br>Listening

AI
Listening

Understand and Optimize the Impact of AI Search for Your Brand and Products

Is AI Recommending Your Brand?

Most brands lack visibility into how AI represents them - if they’re recommended or why.
 

AI Listening reveals generative AI’s impact on consumer decisions by helping you monitor and optimize how your brand, services and content show up where it matters most.

Uncover End-to-End AI Intelligence

AI Listening delivers end‑to‑end intelligence, spanning how consumers use AI today, how AI represents your brand, product or service and whether those recommendations truly resonate with your target consumer.

 

Person looking at a phone

How Your Consumers Use AI

Discover when, why, and how deeply AI influences the decision journey among your high-value consumers


Person holding a phone

Your AI Share of Voice

Learn how often your brand is recommended versus competitors across all five leading AI models

Person texting

AI Training Data vs Live Web

Uncover whether AI draws from training data or live results when recommending brands & products in your category

Person holding phone and remove control

Recommendation Rationale

Discover the decision logic and attributes AI weights most heavily when making recommendations


Person waving at phone

Persona-Level Insight

Uncover which contexts and demand spaces drive AI recommendations in your favor

Person texting

Human Validation

Continuously monitor, optimize and validate AI recommendations among real human respondents

Person looking at a phone

How Your Consumers Use AI

Discover when, why, and how deeply AI influences the decision journey among your high-value consumers


Person holding a phone

Your AI Share of Voice

Learn how often your brand is recommended versus competitors across all five leading AI models

Person texting

AI Training Data vs Live Web

Uncover whether AI draws from training data or live results when recommending brands & products in your category

Person holding phone and remove control

Recommendation Rationale

Discover the decision logic and attributes AI weights most heavily when making recommendations


Person waving at phone

Persona-Level Insight

Uncover which contexts and demand spaces drive AI recommendations in your favor

Person texting

Human Validation

Continuously monitor, optimize and validate AI recommendations among real human respondents

AI-Accelerated Research Framework

Person looking at phone

Qualitative + Quantitative Exploration

In-Depth Interviews

  • Explore how consumers use AI to discover and decide
  • Validate prompts, personas, and demand spaces

Foundation Landscaping

  • Quantify AI usage, frequency, and type across categories & consumer segments
  • Establish benchmarks for future optimization
Person looking at computer AI

Behavioral Immersion

In-the-moment Mobile Ethnography

  • Observe your target audience with real-world AI usage moments

  • Capture authentic language and behaviors through conversational methods

People looking at phones

AI Listening

Proprietary Method of Monitoring of AI Outputs

  • Systematically queries 5 leading AI models at scale
  • Infuses context through personas and demand spaces
  • Analyze recommendations, reasoning, and data sources
  • Tracks frequency and patterns
Person using phone

AI Optimization

Ongoing Consumer Validation
  • Pressure test AI recommendations with your high-value audiences
  • Measure relevance, resonance, and conversion potential
  • Continuously identify optimization opportunities

Optimize PR, Marketing, Advertising, and SEO strategy

reach3 in-moment message testing deliverable

Optimize PR, Marketing, Advertising, and SEO strategy

Prioritize where and how to show up in the AI ecosystem

Set a baseline and track improvement over time

Prioritize PR, content, or SEO strategy accordingly

Identify the attributues to own and amplify in your messaging

Focus content and media investment where AI is already working for you

Identify where AI is helping or hurting brand perception and purchase intent

Useful resources

Conversational Research - Research on Research copy

The Research on Conversational Research

Learn the impact of conversational research on engagement, data quality, richness and depth, and more. 

AI benefits - Jobs to Be Done and System 1 and System 2 Thinking market research study

AI’s Best Real-World Applications

Using Jobs To Be Done and System 1 and System 2 thinking to uncover deeper insights.

message-testing

Modern Techniques for Message Testing

Fast and accurate insights when testing taglines, positionings, RTBs or product descriptions.

9 conversational research principles - Reach3

9 Conversational Research Principles

Learn how companies like Coca-Cola, Kellanova and John Deere implement AI-accelerated, conversational research principles to drive business outcomes. 

Let's start with a conversation.

Request a call from one of our experts.