From unknown visibility to an evidence-backed action plan.

1. 01

   Map the commercial question set

   We crawl the company site, confirm the brand entity and competitors, and score candidate prompts for intent, relevance, differentiation, and business value.

   Output

   5 approved questions for the founding audit

2. 02

   Run controlled provider benchmarks

   Each approved question is tested by provider, model, country, language, and repetition. Every raw answer and source URL is retained.

   Output

   Comparable, reprocessable raw evidence

3. 03

   Extract visibility and accuracy

   The system identifies mentions, recommendations, positions, citations, entity confidence, inconsistent claims, and competitor advantage.

   Output

   Transparent metrics with confidence

4. 04

   Explain the recommendation gap

   Website evidence, competitor pages, and repeated citation patterns reveal technical, content, pricing, proof, and authority gaps.

   Output

   A defensible reason for every finding

5. 05

   Review, prioritize, and publish

   An administrator edits or rejects low-confidence findings, approves the action plan, and publishes the web, PDF, and CSV report.

   Output

   Three to ten actions worth doing first

To choose who runs this workflow, compare AI visibility tools for B2B SaaS for an internal team or AI visibility service providers for expert delivery. For Google Search, define a separate protocol with the Google AI search visibility guide; a model benchmark does not reproduce AI Overviews.