Methodology
How Ready Scan builds an AI visibility scorecard.
Ready Scan is built for marketers who need the practical answer first: did scanned AI systems mention or recommend the brand when asked buyer-like questions?
How does Ready Scan measure AI visibility?
Prepare -> Ask -> Score -> Report is the customer journey. Under the hood, Prepare and confirm -> Plan questions -> Collect answers -> Classify outcomes -> Score fairly -> Explain evidence is the measurement workflow. Ready Scan starts with one public product page or homepage, proposes a distinct brand, product, customer job, and a ranked pool of natural unbranded buyer questions, and lets the marketer correct that meaning. Only explicit confirmation releases one to four selected questions across the selected AI systems.
Prepare -> Ask -> Score -> Report
The customer journey stays small enough for a marketer to understand while the full workflow remains visible: Prepare and confirm -> Plan questions -> Collect answers -> Classify outcomes -> Score fairly -> Explain evidence.
Prepare
Ready Scan reads the submitted public page and proposes distinct brand, product, customer job, and a pool of relevant buyer questions.
Confirm
The marketer can correct the proposed meaning. No AI-answer acquisition begins until explicit confirmation.
Collect answers
Every completed AI answer is kept with model, source, and limitation context.
Classify and score
The scorecard separates absence, citation, mention, recommendation, stronger recommendation evidence, and excluded cells.
Provider boundary
A provider can supply product context or AI answers, but Ready Scan owns the question planning, answer retention, classification, score arithmetic, and report presentation.
Start with one scorecard.
Ready Scan carries the product profile into buyer questions, retained answers, scoring, and evidence.