AI Search Visibility: See Whether ChatGPT and Gemini Recommend Your Brand

Havadis builds a set of questions from your brand analysis: the questions a customer asks before choosing a product like yours. The questions never name your brand or your competitors, because customers don't either, and any question that would answer itself is dropped. You can edit the set whenever your focus changes. Each question goes to ChatGPT, using OpenAI's web search, and to Google Gemini, grounded in Google Search, and each is asked more than once, because a single answer is a sample, not a verdict.

For every engine, separately, you see how often your brand is mentioned, whether it is recommended, where it ranks among the names in the answer, the tone of the mentions, and which domains the answers cite. The engines are never blended into one score: ChatGPT and Gemini read the web differently, and an average would hide where you actually stand.

The competitors from your brand analysis are measured in the same answers, so share of voice is the part of all brand mentions that belongs to you. That turns a vague question, "are we visible?", into a comparison you can act on: which competitor owns which question, and where the field is still open.

The trend is drawn only between comparable scans, meaning the same engine and the same question set. A change in the line is a change in your standing, not a change in the test.

A question where you are missing is more than a score. Havadis turns it into a topic suggestion with the reasoning behind it. Approve it and Havadis writes it in your brand voice, as a blog article and posts for every channel, optimized for search engines and AI answers together. The next scan shows whether it moved.

Measure, write, measure again: that loop is the reason the feature lives inside a content engine rather than in a separate dashboard.

Next to the sampled numbers sits a deterministic check of your site: which AI crawlers your robots.txt shuts out, whether a sitemap is advertised, and whether your homepage carries text and structured data before JavaScript runs. It uses no model and no sampling, so it is reported on its own and never mixed into the visibility figures.

AI visibility is available from Pro. Each workspace can run 1 scan every 30 days on Pro, 2 on Pro+ and 4 on Enterprise, and scans do not use credits. If you need daily monitoring across many AI engines, a dedicated visibility tracker will go deeper. Havadis is built for teams that want the measurement and the content that improves it in one place.