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Practical tutorials and explainers on AI Visibility, Search Visibility, Website Health, competition and prioritized actions. Learn where you stand, who is winning and what matters now.
The RankScan Guides walk you through setup, analysis and execution step by step. Start with a property, define clean topics, check AI and search signals, and work through the recommendations that matter most.
Set up RankScan properly and build the foundation for meaningful analyses.
Create your first property and trigger the first AI, search and health signals.
Read guideDefine topics so that reports, scores and recommendations become meaningful.
Read guideUse real search performance data - clicks, impressions, CTR and position - inside RankScan.
Read guideInvite colleagues and assign the right roles.
Read guideMeasure whether your brand appears in AI answers, which competitors are named and which sources shape the answers.
Understand how to read and interpret the AI Visibility view.
Read guideDefine prompts that reflect the real questions your target audience asks.
Read guideUnderstand your AI visibility in the competitive landscape.
Read guideIdentify which sources shape AI answers and turn that into content opportunities.
Read guideAdd the right competitors so that search and AI comparisons become meaningful.
Read guideClean up ambiguous or duplicate brand detections so comparison values remain accurate.
Read guideConnect classic search signals with technical website factors and see where visibility, clicks and demand drift apart.
Prioritize the most important next steps, share results with stakeholders and scale RankScan across multiple properties.
Turn data into the next actions with the highest expected impact.
Read guideShare results with clients or stakeholders through a link-based report.
Read guideAccess RankScan data via API or visualize it in Looker Studio.
Read guideManage several websites, brands or markets cleanly side by side.
Read guideUnderstand the key terms and relationships around AI Visibility, Share of AI Voice, AI Readiness and modern Search Visibility.
AI Visibility describes how visible a brand is in the answers generated by AI systems such as ChatGPT, Perplexity, Gemini and Google AI Overviews.
Read guideShare of AI Voice is a metric that shows your share of all brand mentions for a topic in AI answers.
Read guideBefore an AI system can mention your brand, it must be able to reach, read and understand your content.
Read guideMany teams see the same pattern: rankings look stable, but clicks and leads decline.
Read guideA short glossary for the most important terms around AI Visibility, Search Visibility and RankScan.
Read guideRankScan analyzes AI Visibility, Search Visibility and Website Health, compares competitors and prioritizes the actions with the highest impact.
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