Traceable
Metrics lead back to prompts, engines, raw answers, and citations.
About
AI visibility should be measurable.
Wolf visibility shows how AI search engines describe your brand, which competitors they mention, and which sources shape their answers.
What Wolf visibility measures
Wolf visibility runs consistent prompt sets across ChatGPT, Perplexity, Gemini, Google AI Overviews, and Microsoft Copilot. It records brand mentions, competitor appearances, citations, source URLs, and the raw answers behind every result.
Built for evidence, not guesses
Every score traces back to the prompts and responses that produced it. Teams can compare markets and changes over time without committing to a monthly subscription.
Why Wolf exists
AI discovery needs an audit trail.
Traditional search analytics explain rankings, impressions, and clicks. They do not show which brands an AI assistant recommends inside a generated answer, how a competitor is framed, or which third-party page influenced that recommendation. Wolf visibility was created to make those observations inspectable.
The product focuses on five discovery surfaces used in real buying journeys: ChatGPT, Perplexity, Gemini, Google AI Mode and AI Overviews, and Microsoft Copilot. A team can run the same customer question across engines and markets, preserve the raw answers, and compare brand mentions, relative position, competitors, citations, and source URLs.
Wolf uses pay-as-you-go credits because AI visibility work is often project-based. A founder may need a launch audit, an agency may run research for a client, and a marketing team may monitor a campaign without needing another fixed annual contract. Paid credits do not expire, costs are shown before execution, and failed checks are not charged.
Comparable
Stable prompt cohorts support useful comparisons across time and markets.
Honest
Wolf reports sampled observations and does not present AI answers as fixed rankings.