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GEO and AI visibility · Singapore
If you don't measure it, you can't improve it. Singapore operators face the same ai citation tracking discipline as global peers, with local context (timezone, channel mix, buying patterns) shifting which moves carry the most leverage.
Definition
AI citation tracking is the practice of running structured prompts against ChatGPT, Perplexity, Gemini, Claude, and Copilot at regular cadence to record when a brand appears in their responses. The cadence is usually daily, the prompt set is fixed at 200-600 queries, and the output is a percent-share-of-citation metric per engine over time.
How it lands in Singapore
Xpand Media runs ai citation tracking inside Singapore-based engagements with the local context built in: Asia/Singapore timezone, market-specific buyer behavior, and the platforms Singapore-based operators actually use. The discipline is global; the operational rhythm is local.
Services that operate ai citation tracking
FAQ
Xpand Media runs an internal tracking stack. External tools in 2026 include Profound, AthenaHQ, and Otterly.AI, each with different engine coverage and prompt-set design.
Daily for the top 50 prompts, weekly for the long tail. The variance day-to-day is real, so weekly aggregation is required to read signal vs noise.
Depends on the category. Top 3 in a sector means dominant. The healthy band is 10-30% share of relevant prompts. Above 40% suggests the prompt set is too brand-narrow.
No. Engine-to-engine correlation is moderate at best. Strategy must be engine-specific, not engine-blind.
Yes, but it requires scripted API access and consistent prompt design. Most teams pay for tooling once they pass 100 tracked prompts.
Run ai citation tracking in Singapore