Automatically map AI-style queries to your site pages using Google Search Console data. Classify intent, detect gaps, and get query-specific tasks to improve visibility.
Import top-performing pages or question-keyword pages directly from GSC.
Match LLM queries to your most relevant pages with confidence scoring.
Auto-generate query-specific actions like add schema or optimize headings.
Take action to boost AI visibility and close content gaps.
Not all queries are equal. Some highlight opportunities, others expose content gaps. AI Query Mapper connects AI-style queries with your real website performance by:
It’s the missing link between AI visibility testing and SEO execution.
Import pages from Google Search Console (top performers, question keywords, or custom).
AI clusters queries as Informational, Transactional, Comparison, Local, or Brand.
Matches are scored using keyword overlap, CTR, impressions, and ranking data.
Each query comes with auto-generated tasks (optimize content, add schema, improve entities, or create new page).
Pages are flagged with 🟢 Optimize, 🟡 Content Gap, 🔴 New Page Needed, or ⚪ Analyzing.
Align AI queries with your real GSC data for accuracy.
Eliminate guesswork in query-to-page mapping.
Focus effort on high-intent queries with the biggest ROI.
Prioritize Quick Wins to get faster visibility gains.
Example: The query “buy manual citation building service online” maps to /belgium-local-citation-building-service/ with 70% confidence.
The system generates 5 tasks: update headings with extracted keywords, improve transactional CTAs, add schema markup, and more.
Got questions? We’ve got answers. Explore common queries about our platform, pricing, features, and support.
The AI Query Mapper works as an intent-based search mapper that clusters each query into categories like informational, transactional, comparison, brand, and local. It uses GSC data such as impressions, keyword overlap, CTR, and rankings to map each query to the most relevant page. This helps you understand what users actually want and which page should satisfy that intent.
The tool shows you which queries match well with existing pages and which ones expose missing topics. When a query does not align with any of your pages, the system marks it as a content gap and generates tasks like “create a new page,” “add schema,” or “expand this section.” This lets you fix gaps before they hurt your AI visibility.
Yes. Each query is classified by intent and matched with your performance data. You can instantly see which transactional or comparison queries have strong ROI potential. The Quick Win labels show whether you should optimize an existing page, fill a content gap, or build a new page for maximum visibility.
Yes. Every match comes with a confidence score based on GSC data, keyword similarity, page relevance, and historical performance. This gives you a clear sense of how accurate the mapping is and whether you need to confirm or adjust it manually.
Yes. By aligning your content with AI-style queries and mapping them to the right pages, you strengthen both SEO and AI visibility. AI assistants prefer pages that match clear user intent and offer complete coverage. Improving your query mapping helps you show up more often in AI-generated answers.
Most teams run mapping weekly or after adding new content. Since user intent changes and AI platforms evolve quickly, frequent mapping helps you catch shifts early. This keeps your content aligned with what users search for and improves both search engine and AI-driven visibility.
See exactly how AI queries connect to your pages — and get tasks that boost your visibility.
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
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