o-early

Documentation

How to use o-early

A practical guide to running an AI answer visibility audit, reading the result, and turning prioritized evidence into website changes.

1. Submit a public website URL

Enter a public domain on the homepage. o-early normalizes the URL, reads the homepage, follows discoverable navigation and sitemap links, and checks a bounded set of common product, documentation, and trust paths.

2. Sign in and create the task

Google sign-in connects the request to your workspace. The task view records processing state and keeps completed results available in history.

3. Read scores as diagnostics

Scores summarize observed page signals. Use the findings, affected URLs, and evidence before the number itself: a high score is not a promise of citations, rankings, traffic, or model behavior.

4. Apply and verify changes

Start with high-severity structural gaps, then improve entity definitions, headings, metadata, internal links, documentation, and trust evidence. Run a new audit after deployment to verify the public result.

Credits and failed runs

Credits do not expire. Full audits and AI Visibility scans use credits according to the workflow shown before submission.

Failed runs that do not complete the expected paid processing path are automatically returned. See the Refund Policy for the operating rules.