Prospect audits
Show a prospect where competitors appear, which sources influence the category, and what the current evidence supports.
Use case
Run client research when the work happens.
Create project-specific prompt cohorts, collect the raw evidence, compare competitors, and export results. Your cost follows client usage instead of a fixed software tier.
What you can learn
Produce client evidence without a fixed software tier
Wolf gives agencies a project-based way to audit AI visibility. Costs follow the checks a client needs, while the report can retain the prompt, engine, market, answer, brand observations, and citations behind every conclusion.
Client benchmarks
Establish a prompt cohort before content, PR, positioning, or technical work begins, then compare later runs.
Inspectable reporting
Use raw answers and source URLs to explain why a metric changed instead of presenting a black-box score.
Usage-based economics
Run research when client work happens and keep unused paid credits for the next project or reporting cycle.
A practical workflow
From question to evidence
- 01Agree on the client's buyer questions, competitors, priority markets, and reporting scope.
- 02Preview the credit requirement and run the approved prompt set across the selected engines.
- 03Export the evidence, separate observed facts from recommendations, and document important variance.
- 04Repeat the benchmark after meaningful work rather than manufacturing weekly movement from noisy one-off prompts.
AI answers can change between runs. Wolf records defined observations and their supporting evidence; it does not guarantee a recommendation or claim that one response represents every user. Read the measurement methodology.