Travel and education prompts do not produce the same sourcing behavior, and that matters for how teams interpret visibility.
Citation behavior changes with the subject
Search Engine Journal reported that ChatGPT links to sources much more often for travel questions than for education queries. The opportunity to earn a citation depends partly on the kind of question a user asks.
A brand monitoring high-citation topics may see many inspectable sources. Another brand can be highly relevant in a low-citation category and receive far fewer linked opportunities, even when the underlying answer is detailed.
Benchmarks need context
This makes cross-category visibility comparisons risky. A citation rate that looks weak against travel may be normal for education, finance, or another category with different answer behavior.
Teams should build benchmarks around their own question clusters and compare like with like: the same intent, audience, location, and model over time.
Design monitoring around real decisions
The questions in a Study define what the resulting metrics mean. Better prompt design produces more useful benchmarks, and more defensible decisions.
- Group prompts by user intent and decision stage.
- Measure citation frequency separately from brand presence.
- Compare owned, earned, reference, and community sources within each cluster.
- Avoid treating a global average as the expected behavior for every topic.