How IgniteStack measures AI visibility

A consistent Prompt Universe makes it possible to compare visibility over time. If the questions change constantly, movement becomes difficult to separate from differences in the test itself.

We prioritise questions connected to real commercial journeys including discovery, research, comparison, validation and purchase. Branded prompts are used selectively because they can artificially inflate visibility.

It depends on the audience and category. IgniteStack can analyse major platforms including ChatGPT, Google AI, Gemini, Claude, Perplexity and Copilot. We prioritise the platforms most relevant to the customer journey rather than treating every platform equally.

Generative outputs are probabilistic and can vary because of model updates, retrieval changes, location, context and newly available information. That is why we look for repeated patterns across a broader sample.

No. A brand can be recommended without its own website being cited and a cited source does not automatically mean the brand was recommended. We measure mentions, recommendations and citations separately.

We compare the content, entity signals, technical foundations and external sources surrounding the brands being recommended. This helps identify whether the gap is primarily content, authority, technical structure or broader brand evidence.

For active programmes, regular measurement is more useful than one-off audits. The right frequency depends on the category and pace of implementation but the underlying methodology should remain consistent.

It can be connected to commercial indicators such as referral traffic, leads, sales and branded demand where the underlying data allows it. We avoid attributing revenue to AI visibility alone when other marketing activity is also contributing.