Insights Platform: Multi-Dimensional Brand Intelligence That Drives Strategy

You track AI visibility. You monitor competitor mentions. You collect thousands of data points across ChatGPT, Claude, and Perplexity. But here's the problem: you're drowning in data without clear next steps. The gap between AI monitoring data and strategic intelligence isn't about volume. It's about transformation. Raw data shows what happened. Intelligence shows why it matters and what to do next. Most platforms stop at reporting. They show you charts, mention counts, and ranking positions. Then they leave you to figure out the strategy yourself. You know your brand appears 47% of the time, but you don't know which 47% matters most or what specific actions would move you to 60%. Qwairy's Insights Platform** solves this.** It's the first multi-dimensional intelligence system that transforms raw AI monitoring data into strategic guidance. Four integrated modules work together: Brand Perception Analysis reveals how AI platforms position you, Shopping Intelligence tracks shopping intent and product mentions, Search Intelligence discovers query patterns through fan-out analysis, and AI-powered Recommendations provide personalized next steps based on your performance level. The result isn't just insights. It's a clear strategic roadmap.

TL;DR

Insights Platform transforms monitoring data into strategic intelligence through 4 integrated modules: Brand Perception Analysis (sentiment tracking, competitive positioning), Shopping Intelligence (shopping intent, product mentions across all major AI platforms), Search Intelligence (query fan-outs, emerging patterns), and AI-powered Recommendations (personalized guidance by performance tier 0-100). Unlike generic analytics that only report data, Insights Platform analyzes why patterns emerge and recommends specific priority-scored actions. Available in all Qwairy plans.

Why Most Analytics Platforms Fail at Intelligence

The fundamental problem with traditional AI monitoring analytics: ❌ Data without context
Numbers and charts that don't explain strategic implications or competitive dynamics ❌ No prioritization
Equal weight to all insights regardless of business impact or urgency ❌ Reactive reporting
Historical data without predictive patterns or proactive recommendations ❌ Siloed information
Brand mentions separate from product data separate from search patterns ❌ No guidance
Shows what happened but provides no strategic direction on what to do next

Result: Teams spend hours in dashboards trying to derive meaning from disconnected data points.

Our Approach: Multi-Dimensional Intelligence

Qwairy's Insights Platform is built on a fundamentally different architecture: ✅ Contextual analysis
Every metric connected to competitive positioning, market dynamics, and strategic implications ✅ Mathematical prioritization
AI-powered scoring system ranks opportunities by potential impact and urgency ✅ Predictive intelligence
Pattern recognition identifies emerging trends before they become obvious ✅ Integrated modules
Four intelligence layers work together to provide complete brand visibility picture ✅ Actionable recommendations
AI-powered guidance provides specific next steps tailored to your performance level

Result: Clear strategic intelligence that teams can act on immediately.

The 4 Intelligence Modules

Insights Platform answers critical strategic questions through four integrated modules working together.

Module 1: Brand Perception Analysis (Beta)

Brand Perception Analysis reveals how AI platforms actually describe and position your brand beyond simple mention counts.

Sentiment tracking: Track sentiment scores (-1 to +1) for every brand mention. Identify which topics, providers, or competitors trigger positive vs negative sentiment. Monitor sentiment evolution over time to catch positioning shifts early.

Competitive positioning intelligence: Understand how AI platforms position you relative to competitors. Which keywords appear with your brand mentions? What context frames your positioning? Where do competitors get mentioned without you?

Perception by provider and topic: Different AI platforms may position you differently. Claude might emphasize your technical capabilities while ChatGPT focuses on ease of use. Topic-specific perception analysis reveals these nuances. Share of voice** analysis:** Track percentage of mentions vs competitors across categories, topics, and providers. Identify where you dominate conversation and where competitors own the narrative. This goes beyond counting mentions. It reveals strategic positioning gaps and perception opportunities that traditional monitoring misses.

Module 2: Shopping Intelligence

Shopping Intelligence automatically extracts and analyzes product mentions and shopping intent signals from AI responses across platforms.

Automatic product extraction: System identifies products mentioned in AI responses, extracting names, descriptions, images, ratings, reviews, and purchase options. Track which products get recommended and in what context.

Shopping intent detection: Analyze responses for shopping signals: price comparisons, feature evaluations, purchase recommendations. Understand when users move from research to buying mode.

Product positioning analysis: See how AI platforms describe your products compared to competitors. Which features get emphasized? What benefits are highlighted? Where do competitors appear alongside your products?

Multi-platform coverage: Shopping Intelligence works across ChatGPT, Claude, Perplexity, Gemini, and all other major AI platforms. Comprehensive view of how products are recommended regardless of platform. For e-commerce and SaaS brands, Shopping Intelligence reveals which products drive AI recommendations and how to optimize product positioning for maximum visibility.

Module 3: Search Intelligence

Search Intelligence discovers hidden query patterns through AI platform search behavior analysis and query fan-out detection.

Query fan-out discovery: When users ask "best CRM for startups," AI platforms may search for "CRM tools small business," "startup CRM solutions," "affordable CRM software," and dozens of variations. Search Intelligence captures these fan-outs to reveal hidden keyword opportunities.

Pattern analysis across providers: Different AI platforms exhibit different search patterns. ChatGPT might focus on feature-based queries while Claude emphasizes use-case queries. Understand platform-specific behavior.

Priority scoring system: Every discovered query gets scored: very-high (immediate opportunity), high (strong potential), medium (secondary priority), low (monitoring only). Mathematical scoring based on competitive presence and strategic fit.

Content opportunity mapping: Each discovered query connects to Content Studio. See exactly which queries need content, competitive context for each, and one-click brief creation. Search Intelligence transforms AI platform search behavior into strategic keyword intelligence that traditional keyword research tools cannot access.

✍️ Once your strategic insights are identified, transform them into optimized content that generates citations with Content Studio, our generation platform powered by 7 intelligence sources.

Module 4: AI-Powered Recommendations

AI-powered Recommendations provide based on your performance score and current maturity level.

Frequently Asked Questions

How is Insights Platform different from other analytics tools? Traditional analytics display data without context or recommendations. Insights Platform transforms data into strategic intelligence through four integrated modules analyzing brand perception, products, search patterns, and providing AI-powered recommendations. Every metric includes competitive context, priority scoring, and specific next steps. It's built specifically for AI platform intelligence, not generic web analytics.

What is the Performance Score and how is it calculated? The Performance Score (0-100) analyzes visibility percentage, competitive positioning strength, content coverage across funnel stages, source authority, and technical optimization. It's calculated from thousands of data points across all major AI platforms. The score determines your maturity tier (Starting Out through Excellent) and adapts recommendations accordingly.

How does Shopping Intelligence work? Shopping Intelligence automatically extracts product mentions from AI responses across platforms. It captures product names, descriptions, images, ratings, reviews, and purchase options. The system detects shopping intent signals, analyzes competitive product positioning, and tracks which products get recommended in what context. Works across ChatGPT, Claude, Perplexity, Gemini, and all other major AI platforms.

What are query fan-outs in Search Intelligence? Query fan-outs are the variations AI platforms generate when researching a topic. If a user asks "best CRM for startups," the AI might search "CRM tools small business," "startup CRM solutions," "affordable CRM software," and dozens of related queries. Search Intelligence captures these patterns to reveal hidden keyword opportunities traditional research misses.

Is Insights Platform available in my plan? Yes. Insights Platform is available in all Qwairy plans, from Starter to Enterprise. All users have access to Brand Perception Analysis, Shopping Intelligence, Search Intelligence, and AI-powered Recommendations.

Getting Started

Ready to transform monitoring data into strategic intelligence? In your Qwairy dashboard, navigate to Insights under your brand. The platform automatically analyzes your monitoring data and generates intelligence across all four modules.

Quick start by module:

1. Brand Perception Analysis
Start with sentiment tracking. See how AI platforms describe your brand, identify perception gaps vs competitors, and spot positioning opportunities. Monitor sentiment trends over time to catch shifts early.

2. Shopping Intelligence
Review extracted products from AI responses. Analyze which products get recommended, shopping intent patterns, and competitive product positioning. Optimize product visibility based on actual AI behavior.