Rank AI: health score, evidence and what to fix first

How the ranking health score is built, how to read recommendations and their evidence, and when to refresh.

Lesson
7/9
Reading time
6 min
Sections
4
Through the course
78%

One score from several modules

Rank AI uses the data your other modules already collect for a website: positions, SEO audits, uptime incidents, AI Overview citations, local results, analytics traffic and lost backlinks. The health score runs from 0 to 100, and sources without data are left out rather than counted as zero.

Reading a recommendation

  • Each recommendation has a severity and shows its evidence, such as a position change, an audit issue or an incident.
  • A position drop with an uptime incident from 3 days before to 1 day after it is marked, so you can check the outage first.
  • Recommendations come from fixed rules, so the same data always gives the same list.

Check your understanding

A keyword slipped from 4 to 8 and an uptime incident is shown next to it. What should you check first?

Page reviews

  • Pick one of your pages and the search term it should rank for. Rank AI compares it with the top-ranking pages your runs have recorded for that term.
  • Lime arrows on the copy of your page mark what to change. Each suggestion quotes your text, says why, shows the evidence and gives a rewrite to copy.
  • Start with high-priority suggestions and missing topics several competitors cover, then review the page again after editing to compare the score.

Opportunities and the weekly summary

Opportunity keywords sit in positions 4 to 20, where small improvements move the most. Every week a report is saved with a short summary; AI writes it from the report's numbers only, and a summary that can't be checked against the data is replaced with a plain one.

Lesson 7 of 9

Rank AI: health score, evidence and what to fix first