Real-world examples of brands improving their AI visibility using ZagosaIQ. Each case study documents the journey from initial assessment through strategy implementation to measurable results across major AI platforms including ChatGPT, Claude, Gemini, Perplexity, and Bing Copilot.
Every ZagosaIQ case study follows a structured format covering the initial AI visibility audit, strategy development, implementation steps, and measured outcomes. We document visibility score changes, citation likelihood improvements, and competitive positioning shifts across each AI platform tracked. The strategies covered include content optimisation, structured data implementation, authority building, community engagement, and brand consistency improvements.
Brands using ZagosaIQ typically see improvements in their AI visibility within weeks of implementing recommended changes. Common results include increased mention frequency in AI-generated answers, higher citation rates from AI models referencing the brand's domain, improved sentiment in how AI systems describe the brand, and stronger competitive positioning against industry rivals. The specific results depend on the brand's starting position, industry, and the strategies implemented.
Each case study provides actionable insights you can apply to your own AI visibility strategy. You will see exactly which changes had the most impact, which AI platforms responded fastest to optimisation efforts, and how different industries approach AI searchability. These are not theoretical examples but documented outcomes from brands using ZagosaIQ to track, measure, and improve their AI visibility.
Ready to see how AI systems currently reference your brand? Sign up for ZagosaIQ and run your first visibility scan to establish a baseline. From there, the Action Center will guide you through the same strategies that delivered results in these case studies, tailored to your specific brand, industry, and competitive landscape.