Can visitors see, read, and start using the page quickly enough to stay engaged?
Scoring model
A score is useful only when it shows what to fix next.
Lance Audit weights each signal by business impact. The model is deterministic, while AI is used only to explain verified findings in plain language.
Built from six practical signals.
Can search engines identify the topic, structure, and crawl signals without guessing?
Does the page remain readable, tappable, and calm on phones?
Does the page present basic browser-facing safety signals such as HTTPS?
Is the visitor shown a clear action path without unnecessary friction?
Can more people understand and use the page through labels, contrast, and structure?
Measured first.
Scores come from observed signals: speed evidence, page structure, mobile behavior, trust checks, and visible conversion paths.
Explained second.
Technical findings are translated into business language so a founder, marketer, or developer can decide what matters.
Improved over time.
Saved history helps teams compare scans after changes and catch regressions before they become expensive.
Important
Paid access adds depth, not bias.
The score does not improve because someone buys a report. Paid reports unlock deeper explanation, a PDF, and an expert plan built from the same verified audit signals.