The Discoverability Equation

When Buyers Ask AI for Solutions,
Does It Recommend You?

Your customers now ask AI to solve their problems before they ever visit your website. QuadrantX measures whether leading AI models recommend you - or your competitors - when it matters most.

7
AI Models Queried
74
Market Categories
57,000+
Vendors Tracked
1,700+
Reports Published
The Buyer Journey Changed

Your Customers Decide Before They Visit

A VP of Operations needs a new ERP system. A runner wants trail shoes for mountain terrain. A CFO is evaluating insurance brokers. A parent is choosing a family car. None of them start with web searches anymore - they ask AI.

The AI synthesizes reviews, analyst reports, social discussions, competitor content, and your website into a single confident recommendation. Whether it's a six-figure enterprise contract or a $150 pair of shoes, that AI answer becomes the brand's first impression.

Companies seeing AI-referred traffic report that those visitors convert faster than any other channel - shorter sales cycles in B2B, higher purchase intent in B2C. They arrive having already reached a decision point. The question is whether they decided on you.

The Discoverability Equation
💼
B2B Buyer
What they ask AI
"What's the best expense management platform for a 500-person company?"
  • 1 Has a business problem or mandate
  • 2 Asks AI to recommend solutions for their specific requirements
  • 3 AI synthesizes analyst reports, reviews, and vendor content into a shortlist
  • 4 Visits 1–2 vendor sites to validate, enters sales cycle pre-decided
🛍️
Consumer
What they ask AI
"What are the best running shoes for marathon training on trails?"
  • 1 Has a want, need, or lifestyle goal
  • 2 Asks AI for recommendations matching their preferences and budget
  • 3 AI synthesizes reviews, social media, and editorial content into top picks
  • 4 Clicks through to purchase or visits a store already knowing what they want

In both cases, AI decides who makes the shortlist. If you're not on it, you never had a chance.

This Is Already Happening

AI Is Driving Real Revenue

This isn't theoretical. AI-referred visitors are already showing up in web analytics, entering sales pipelines, and closing deals - faster than traditional channels.

Growing

AI Referral Traffic

Websites are seeing a rising share of inbound traffic from ChatGPT, Gemini, Claude, and Perplexity - visitors who arrived because AI recommended the brand as a solution to a specific problem.

Based on customer web analytics data
Faster

Deal Velocity

AI-referred visitors move through sales cycles faster than organic or paid traffic. They arrive pre-informed, often pre-decided - shortening the path from first visit to closed deal.

Based on customer CRM data
Invisible

The Blind Spot

Most brands have zero visibility into whether AI recommends them when buyers describe problems. They're optimizing for branded search while the real battleground shifted to problem-statement queries.

The gap QuadrantX was built to close
Beyond Brand Monitoring

Not Another AEO Tool

AEO and AI visibility tools tell you if AI knows your name. QuadrantX tells you if AI recommends you when customers describe their problems.

Typical AI Visibility Tools

Brand-Name Monitoring

Tracks whether AI mentions your brand when someone searches for you by name. Useful, but limited.

The query they optimize for
"Tell me about [Your Company Name]"
  • Monitors your own brand mentions in AI
  • Optimizes your website for AI crawlers
  • Tracks branded query visibility
  • Single-brand, single-perspective view
QuadrantX

Problem-Statement Discovery

Measures which brands AI recommends when buyers describe the problems they're trying to solve. The upstream moment that drives revenue.

The query that actually drives deals
"What's the best expense management software for mid-size companies?"
  • Maps the entire competitive landscape of AI recommendations
  • 7 models queried, each multiple times, for consensus
  • Measures Narrative Dominance and Sentiment across your category
  • Shows exactly where you stand vs. every competitor
Two Ways In

What Do You Need?

Whether you need to act on competitive intelligence or validate the methodology behind it, QuadrantX has a path for you.

🎯
For CMOs & Strategic Leaders

Win the AI Recommendation

See which vendors AI recommends in your market category today. Understand your Narrative Dominance and Sentiment scores, identify gaps, and get a strategic roadmap to improve your position.

  • See exactly where you rank vs. competitors in AI recommendations
  • Understand why some competitors get recommended and you don't
  • Get a strategic action plan from Couch & Associates
  • Track your discoverability improvement over time
Explore Strategic Services
🔬
For Researchers & Analysts

Rigorous, Transparent Methodology

Every prompt, every model response, every scoring algorithm is documented. QuadrantX is built on multi-model consensus - not a single model's opinion. Validate the data before you present it.

  • 7 LLMs queried with standardized prompts, each run multiple times
  • Reproducible analysis with fully archived prompts and responses
  • Statistical scoring for Narrative Dominance and Sentiment
  • Transparent quadrant positioning logic with defined thresholds
Read Full Methodology
Interactive Dashboard

Track Your Discoverability Over Time

Discoverability isn't static. As you execute your strategy, watch your Narrative Dominance and Sentiment scores shift across AI models. See which actions are working and where competitors are gaining ground.

  • 📈 Trend Analysis Watch your positioning shift as AI models update their understanding of your market
  • 🔍 Competitive Intelligence Compare any vendor side-by-side across Narrative Dominance and Sentiment
  • 🧠 Model Consensus See which AI models recommend you and where there are gaps in your coverage
Try the Dashboard Free
QuadrantX Dashboard showing AI recommendation tracking across vendors over time
Click to Explore
Methodology

How QuadrantX Works

We don't guess what AI thinks. We ask. Seven leading AI models, standardized prompts, multiple runs per model, cross-model synthesis into actionable scores.

1

Multi-Model Query

The same structured prompt goes to Claude, GPT-4, Gemini, Perplexity, DeepSeek, Grok, and Copilot.

2

Multiple Runs

Each model is queried 3 times to reduce variance and build statistical confidence.

3

Cross-Model Synthesis

Responses are aggregated into Narrative Dominance (visibility) and Sentiment (favorability) scores.

4

Quadrant Positioning

Vendors are placed into Leaders, Challengers, Niche Players, or Laggards based on where they fall.

Claude Claude
ChatGPT ChatGPT
Gemini Gemini
Perplexity Perplexity
DeepSeek DeepSeek
Grok Grok
Copilot Copilot
74 Market Categories

See Who AI Recommends in Your Market

Every report shows which vendors AI recommends when buyers describe problems in that category. Find your market and see where you stand.

AI Is Already Recommending
Your Competitors

Every day, buyers ask AI to solve problems you can help with. Find out whether AI is sending them to you - or somewhere else.