AI visibility monitoring
See where your company appears in AI answers—and what the pattern means.
AI visibility monitoring records how AI systems describe, compare, recommend, cite, or omit your company across the questions buyers actually ask.
Definition
Visibility is more than a mention count
A company can be mentioned and still be described inaccurately, compared against the wrong alternatives, omitted from high-intent questions, or supported by weak evidence. Citation presence also does not mean an answer recommends the company or represents it accurately.
Kojable separates these outcomes so teams can see where the company appears, what the answer says, which competitors are framed more strongly, and which questions lack useful company evidence.
Monitoring scope
Group comparable observations before drawing conclusions
-
Choose commercially meaningful topics
Start with buyer questions covering discovery, fit, comparison, evidence, risk, and vendor selection.
-
Observe multiple AI systems
Review ChatGPT, Claude, Gemini, and Perplexity without assuming each platform behaves the same way.
-
Separate answer outcomes
Distinguish descriptions, comparisons, recommendations, citations, competitor appearances, and omissions.
-
Group the evidence
Analyse results by topic, question, platform, model, competitor, source domain, and cited page.
-
Retest comparable questions
After improvements, repeat a controlled question set so movement can be interpreted against a stable baseline.
Who it helps
Useful when accurate representation matters to buyer research
Monitoring is useful for founders, brand, marketing, content, growth, and commercial teams in categories where nuance, evidence, and differentiation affect how a buyer understands the shortlist.
It should be interpreted responsibly. Observed answers are samples, platforms change, and presence alone does not prove influence or business impact. Kojable uses monitoring to focus investigation—not to promise rankings, recommendations, citations, or revenue. See how AI citation rates and source metrics should be defined before comparing results.