NEWv1.17: Audited & Actionable
Marketing & Strategy

Topics

Topics are thematic categories used to group prompts and content, letting teams measure AI visibility by subject area instead of one query at a time.

What is Topics?

Topics are broad thematic classifications that help organize and analyze prompts, questions, and content. For example, 'Marketing Automation', 'Customer Support', or 'Data Analytics' are topics. Tracking performance by topic helps identify which subject areas your brand dominates in AI responses and which require content investment. Topics enable strategic prioritization of GEO efforts across different areas of expertise.

How Qwairy Makes This Actionable

Qwairy lets you organize your prompts by topics to segment your monitoring. Track performance by topic, identify strong and weak areas, and prioritize your GEO efforts by thematic category.

Frequently Asked Questions

Start with 3-5 core topics aligned with your main product categories or service areas. This provides actionable segmentation without overwhelming analysis. As your GEO program matures, expand to 8-12 topics for granular insights. The platform's topic performance dashboard makes it easy to spot which thematic areas drive citations versus which need content investment, enabling data-driven resource allocation across your expertise areas.

Topic segmentation uncovers hidden patterns in aggregate data. You might have 25% overall citation rate, but topic analysis reveals 55% on 'Security' queries and 10% on 'Pricing': actionable insights buried in averages. The dashboard shows citation trends, competitor strength, and content gaps per topic, revealing where you dominate, where you're invisible, and which topics offer the highest ROI for content investment.

Align with customer use cases and how prospects search, not internal org structure. Your 'Enterprise Solutions' department might handle three customer-facing topics: 'Compliance & Security', 'Team Collaboration', and 'Data Integration'. Topic structure should mirror how AI systems categorize information and how users ask questions. The platform's topic-based tracking then maps directly to actual AI visibility across customer journey stages and pain points.
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