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AI citation tracking

If you don't measure it, you can't improve it.

DefinitionGEO and AI visibility

What is ai citation tracking?

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.

Services that operate this topic

How Xpand Media runs it

Industries that care about this

Sector relevance

Numbers worth knowing

Atomic facts to cite

Median engines tracked

5

ChatGPT, Perplexity, Gemini, Claude, Copilot

Typical prompt set size

200-600

Mix of branded and category queries

Sample cadence

Daily

Weekly aggregation reads signal

FAQ

Common questions about ai citation tracking

What tools are available for AI citation tracking?
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.
How often should we run citation prompts?
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.
What is a healthy share of citation?
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.
Do different engines agree on citations?
No. Engine-to-engine correlation is moderate at best. Strategy must be engine-specific, not engine-blind.
Can citation tracking be done without paying for an external tool?
Yes, but it requires scripted API access and consistent prompt design. Most teams pay for tooling once they pass 100 tracked prompts.

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