Setting up AI visibility tracking

The brand profile

Your brand profile tells Asheard who you are: brand name plus aliases — short forms, misspellings, the domain itself. Good aliases matter because AI assistants are inconsistent with names, and a mention only counts if we can recognise it.

Competitors

Add the competitors you want to benchmark against. Every AI answer is scanned for them too, so you always see share-of-voice, not just your own mentions. When engines keep recommending a brand you don't track, Asheard raises a "rising rival" alert suggesting you add it.

Prompts

Prompts are the questions you test — write them the way real customers ask: "best rank tracker for agencies", "what should I use to monitor AI mentions". Aim for a mix of category questions, comparison questions and problem questions. Avoid mentioning your own brand in the prompt: you want to know if AI recommends you unprompted.

Engines and the answers budget

Pick which engines each project queries: ChatGPT, Gemini, Claude, Perplexity, Grok, Google AI Overviews, Bing Copilot, DeepSeek, Mistral. Google AI Overviews and Bing Copilot are search surfaces — an empty answer there means the engine showed no AI answer for that query, which is itself a signal. Your plan includes a number of AI answers per run — prompts × engines — and the picker shows a live calculation as you toggle engines, along with each engine's credit cost.

Tagging prompts

Tag prompts by persona, product line, or funnel stage — the same tags you use for keywords. The tag filter on the AI visibility dashboard then scopes everything, charts and scores included, to just that segment: "how visible are we on enterprise questions" becomes a one-click answer.