What the score means

SEO Crystal Ball's score is an internal quality measure built from the checks the scan could evaluate. It summarizes passed, warning, and failed checks so you can see where a page or bounded site needs attention.

Use the score as a compass, not a prophecy. It helps organize the review, but it is not a Google score and does not guarantee rankings, leads, or revenue.

The four decision scorecards

ScorecardWhat it helps you judge
SEO FoundationsTechnical access, indexability, metadata, canonicals, redirects, structured data, and other baseline signals.
Content SEOTopic alignment, headings, useful page copy, internal links, images, and on-page search clarity.
Answer ReadinessWhether facts and answers are clear, extractable, specific, structured, and supported. This is a heuristic, not a citation prediction.
Fix PriorityHow urgently the verified findings deserve attention based on severity, confidence, likely impact, and scope.

The four scorecards are diagnostic dimensions, not four numbers that add up to the overall score. Site scorecards summarize the scanned pages; a bounded crawl can still miss pages outside its discovery and page limits.

Why the AI Citation Monitor is not scored

The experimental Citation Monitor reports observed citations, consulted sources, brand mentions, provider differences, and dated comparisons. It does not contribute to the overall score or any of the four decision scorecards.

One API probe is too variable to become an honest visibility score. Models, search indexes, location, timing, provider routing, and consumer-product behavior can all differ. Use the monitor as evidence to compare repeated matching probes, then read the Citation Monitor results guide for the limits of each metric.

What the score does not mean

A high score does not mean the page will outrank competitors. A low score does not mean the business is doomed. SEO performance depends on competition, content quality, authority, local context, intent match, user experience, and whether the page solves a real searcher problem.

A page can score well and still target the wrong topic. A page can score poorly because it is missing easy technical basics. That is why you read the findings, not just the number.

Severity levels

  • Critical: a confirmed issue that may block access, indexing, loading, or core usability when unintended.
  • High: a strong technical or page-clarity issue that deserves prompt review.
  • Medium: a meaningful improvement whose impact depends on the page and evidence.
  • Low: polish, best practice, or contextual guidance that should not derail higher-value work.
  • Informational: useful context or an observed signal, not necessarily a defect.

Examples of smart prioritization

If one page has an accidental noindex directive and three social-preview warnings, fix noindex first. If another has a vague title, unclear heading, and weak body copy, establish the page's purpose before adding schema. Decorative images may need empty alt attributes, while functional images need useful alternatives.

One serious issue can matter more than ten small warnings. Use severity to order the review, then use the evidence and page purpose to decide what actually deserves work.

What to do after you get a score

  1. Read critical and high-priority findings first.
  2. Group findings by topic: metadata, headings, images, links, schema, indexability, performance.
  3. Fix low-risk/high-impact items first.
  4. Use the fix-library guide that matches the issue.
  5. Re-scan after publishing changes.

Read the Evidence, Not Just the Number

Run a scan, start with the highest-confidence findings, and use the matching guide to decide what deserves attention first.

Run a Scan