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Trend Explorer
AI answers reflect shifting narratives before traditional search data. Meikai detects emerging themes, shifting brand associations, and evolving recommendation patterns, weeks before they appear in search volume.
2B+
prompts analysed
GDPR
& CCPA compliant panel
Weeks
ahead of search trends
AI answers reflect the leading edge of consumer intent. Meikai analyses billions of real prompts to surface emerging narratives in your category before they reach traditional search.
Powered by an opt-in, GDPR & CCPA-compliant anonymous panel and a dataset of 2+ billion prompts.
Brand associations in AI outputs change over time. Meikai tracks how your brand, your category, and your competitors are described across different topics and time periods.
Measure which attributes are gaining or losing prominence in AI-generated answers, and identify the sources driving those shifts.
Best marathon shoes 2025
Running
Carbon plate running shoes
Performance
Nike ZoomX technology
Product
Trail running shoe guide
Outdoor
Running shoes for beginners
Lifestyle
Sustainable athletic footwear
Values
Legacy running shoe models
Heritage
Emerging AI-driven topics represent content and positioning opportunities. Meikai identifies the prompts and themes where your brand is absent before competitors fill that gap.
Cross-reference trend data with your current visibility profile to prioritise the highest-value opportunities.
Best shoes for half marathon
Running
Most cushioned daily trainer 2025
Comfort
Carbon plate shoes comparison
Performance
Running shoes for overpronation
Support
Lightweight trail running footwear
Outdoor
Google Trends reflects search volume. AI trends reflect how categories are described, framed, and recommended inside LLM answers: a different and earlier signal.
Yes. Meikai leverages opt-in panel data and analyses billions of real prompts in a GDPR & CCPA-compliant environment.
Typically weeks. AI systems reflect evolving consumer intent before that intent crystallises into measurable search volume.
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