How do we track our brand's AI visibility?

Test the questions your customers ask across the most-used AI platforms, checking whether and when your brand appears. Use questions customers might ask while researching their needs, rather than testing only prompts that already name your business. Keep the question set and the platforms explicit so that later comparisons have a clear basis. The starting point is a repeatable test of your brand's presence in customer-facing answers, not a single search that happens to produce a mention.

Record the answers and brand mentions in a spreadsheet, preserving what each platform said alongside whether your brand appeared. Keep the question and platform with each response so the log remains useful for comparison. A record of answers, including responses without a brand mention, gives you more to compare than a selection of favourable screenshots. AI tools that automate visibility tracking are emerging, but the practical requirement remains the same: retain responses so you can compare changes over time.

Repeat the tests and compare patterns in the logged responses over time, rather than treating one answer as a settled measure of visibility. Rerun the customer questions regularly across the recorded platforms and check whether brand mentions recur or change. A 2026 academic study by Julius Schulte, Malte Bleeker and Philipp Kaufmann characterises AI-search visibility as a distribution across repeated measurements because answers vary across runs, prompts and time. Use repeated results to identify changes worth investigating, rather than treating an isolated improvement as proof that a particular intervention worked.