A reproducible brand visibility audit
Measure how your brand appears in AI-generated answers with a transparent, repeatable method — not a black box. Start from a clear question, capture evidence, score it, and see exactly what changed.
AI-generated workspace illustration. Explore the audit method and a synthetic worked example.
What an AI visibility audit does
An AI visibility audit is a structured way to answer one practical question: when people ask an AI assistant about your category, your brand, or the problem you solve, what does the answer actually say — and how accurately and consistently does your brand appear? This site publishes a transparent method and a worked example so the process is reproducible, not a secret score.
Define the questions
Turn your goals into a specific, bounded set of prompts covering brand, category, and problem questions — with clear inclusion and exclusion criteria.
Capture the evidence
Collect the actual assistant responses with dates, model, and settings so each observation is reproducible and traceable to a snapshot.
Score and review
Apply an explicit scoring rubric: mention, accuracy, stance, and consistency. Publish the raw evidence alongside the scores.
Transparency is the point
There is no universal "AI visibility score". A useful audit is one you can rerun, inspect, and trust. That means the method is public, the prompts are fixed in advance, the answers are captured verbatim, and every score has an evidence trail you can check.
Illustrative fixtures vs. real measurements
The worked example clearly labels what is an illustrative fixture (a sample used to show the format) versus an actual measurement we ran and recorded. No fabricated rankings, citations, customers, or reviews.
Reusable checklists and templates
Practical, source-backed checklists you can adapt to your own category, plus machine-readable formats for those who want the raw data.
Browse resourcesStart with the worked example
The fastest way to understand the method is to follow one audit from question to conclusion. The example walks through the setup, prompt set, answer capture, scoring, and a plain-language summary — with each step explained.
Independent editorial resource
This site is published by NovCog, an independent publisher and technology practitioner. It publishes an audit method, evidence templates, and a clearly labelled synthetic example.
