Three powerful new modules that transform monitoring data into action: Insights Platform reveals competitor positioning and search patterns, Content Opportunities automatically identifies and prioritizes content gaps, and Content Studio generates AI-optimized content in minutes.
You monitor your AI visibility. You track competitors. You analyze gaps. You know exactly where you're losing ground.
Then comes the hard part: turning insights into action. Which content gaps should you prioritize? What should you create first? How do you analyze competitor content? Where do you even start writing? The gap between insights and execution has always been manual, time-consuming, and strategic guesswork.
v1.9 changes this. Three new modules work together to transform monitoring data into strategic, optimized content automatically: Insights Platform analyzes your positioning, Content Opportunities prioritizes gaps mathematically, and Content Studio generates optimized content in minutes.
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Three modules work together:
Insights Platform - Shopping Intelligence and Search Intelligence
Content Opportunities - Automatic gap analysis with mathematical priority scoring. Thanks to this feature you can now prioritize your content actions.
Content Studio - AI-powered content generation with 7 intelligence sources From monitoring to strategy to execution. 👉 Detailed guides: Insights Platform | Content Opportunities | Content Studio 👉 Product pages: Visibility | Insights | Strategy | Analytics
The Insights Platform transforms raw monitoring data into actionable intelligence through two modules:
Discover which products are recommended by ChatGPT and other LLMs.
For e-commerce and SaaS brands, product-level visibility drives revenue.
Analyze how AI platforms present your products in shopping and comparison queries:
Which products get recommended and when
How AI describes your features vs. how you describe them
Competitor product positioning and mention frequency
Gap identification by product tier (Enterprise mentioned but Starter ignored)
This reveals which products need dedicated content, which features AI misunderstands, and where competitors are winning product recommendations.
Discover queries used by LLMs during the fan-out process.
Discover query fan-outs: when users ask "best project management tools," AI generates dozens of related queries like "best PM tools for remote teams," "PM tools with time tracking," etc.
Most brands track 10-20 core keywords. But AI users don't stop at the first response. They explore variations, dig into specifics, compare alternatives. Each fan-out query is a content opportunity.
The opportunity: Track 10 core prompts → Discover 200+ fan-out queries → Identify 50+ opportunities where competitors haven't positioned content yet → Dominate entire topic clusters, not just individual keywords.
📖 Discover how Shopping Intelligence and Search Intelligence transform your monitoring data into actionable strategy in our complete Insights Platform guide.
Content Opportunities answers: "What should I create next?"
Run a free audit: see if ChatGPT, Gemini and Copilot recommend you, in about a minute.
Every opportunity is scored on two metrics:
Brand Gap (0-100%): Where competitors appear without you
100% = Competitors in every response, you in none → 🔴 High Priority
50-99% = Competitors dominate → 🟠 Medium Priority
1-49% = You appear less than competitors → 🟡 Low Priority
Source Gap (0-100%): When AI cites sources but not yours
Identifies topics needing new content vs. optimization
Reveals citation opportunities
Every opportunity shows:
Exact competitor sources (URLs, titles, positioning)
Provider breakdown (which AI platforms show this gap)
Historical trends
See a critical gap → Click "Create Content" → Opportunity data flows to Content Studio → Brief generated in seconds.
📖 Explore the complete gap analysis system and mathematical priority scoring in our detailed Content Opportunities guide.
Content Studio transforms intelligence into optimized content.
Every article generated processes three intelligence layers:
Performance Data: Brand visibility metrics, competitor citation patterns, AI platform preferences
Intelligence Layer: Gap analysis, brand perception data, search intelligence, product positioning
Optimization Layer: Citation optimization, multi-model compatibility, semantic keywords, fact-density calibration
Every sentence and structure decision is backed by data, not templates.
Generate briefs from multiple strategic starting points:
Content Studio doesn't just import URLs. It uses our automatic source classification engine (introduced in v1.8) to understand the relationship between your brand and each source, then automatically determines the optimal usage strategy:
COMPETITOR - Analyze to create superior content that outranks them
AUTHORITY - Cite and reference for credibility
INSPIRATION - Use as structural and topical inspiration without direct citation
REFERENCE - Use to verify facts, data, and claims
AUTO - Let AI determine the best strategy based on context
The system evaluates source relationship, citation authority, content quality, and competitive context to assign the right usage type. Competitor content gets analyzed to be beaten. High-authority content gets properly cited. Your own content gets improved without redundant self-references.
Every piece of content generated goes through an automatic fact-checking layer with access to real-time information. The system:
Verifies claims against up-to-date reference sources
Identifies statements that need citations
Cross-references data points for accuracy
Flags outdated information and suggests fresh data
Integrates recent news and current events when relevant
Suggests authoritative sources for verification
This ensures your content contains the latest information, not stale data from training cutoffs. AI platforms increasingly favor content with verifiable claims, proper sourcing, and current data. Fresh content with recent references gets cited more frequently than outdated articles.
See your mentions across ChatGPT, Claude and Perplexity in real time, the moment buyers ask.
Content Studio guides you through a structured creation process:
1. Configuration
Set up your article parameters: type (blog post, guide, comparison, case study), target length, persona, and language (15+ languages supported). Select which sources to integrate and their usage types.
2. Outline Generation
AI generates an optimized content structure based on competitive analysis and gap data. See H2/H3 heading hierarchy, section recommendations with word count targets, strategic positioning notes, and citation opportunities. Review, edit, or regenerate with different parameters.
3. Content Generation
Full article creation with AI-optimized tone and structure, strategic positioning based on gap analysis, integrated citations and data points, and SEO/GEO best practices applied. The fact-checker runs automatically to verify claims and flag statements needing sources.
4. Metadata Optimization
Finalize with SEO titles and meta descriptions, focus keywords and semantic variations, and internal linking suggestions based on your existing content.
Each stage builds on intelligence from previous steps, ensuring every element is strategically aligned with your visibility goals.
📖 Deep dive into the 7 intelligence sources, real-time fact-checker, and complete creation workflow in our comprehensive Content Studio guide.
What makes v1.9 different: every decision is mathematically calculated from performance data, not editorial opinions.
Each content piece you publish makes the system smarter about what works for your brand specifically.
This is why Qwairy is the best all-in-one GEO platform: data-driven intelligence, 360° strategy from monitoring to execution, and the most complete platform to deliver real, measurable results in AI search.
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