Features that make AI visibility explainable
eXAIndex turns “AI doesn’t mention us” into evidence, named failure modes, repair actions, and verification. If you’re evaluating tools, this page is the decision-ready overview.
Multi-engine visibility
Observe real behavior across major AI engines and track changes over time.
See how runs workPrompt Arena™ (competitive reality)
Test high-intent prompts and see whether you’re included, displaced, or mispositioned.
Explore Prompt ArenaEngine disagreement
Detect contradictions across engines and fix the root causes of instability.
Learn about disagreementExplainable scoring (eXAI Score)
Scores are useful only if they explain priorities and verification steps.
How the score worksSemantic + intent diagnostics
Find missing sections, intent mismatches, and coverage gaps that cause AI guessing.
Read the knowledge baseTrust signals
Tie claims to verification, boundaries, and stable references so engines can cite you.
What trust signals areComparison (spec-style table)
A fast way to align visitor intent: “What kind of tool is this, and what decision does it support?”
| Feature | Traditional search visibility | Generic AI visibility | eXAIndex |
|---|---|---|---|
| Observed AI answers | Indirect | Sometimes | Yes (multi-engine) |
| Explains why outcomes happen | Limited | Rare | Yes (diagnostic pillars) |
| Competitive prompts (high intent) | Query focus | Basic | Prompt Arena™ |
| Verification loop | Position tracking | Score drift | Re-run + stability |
What you get (and when it’s the right fit)
Features pages often fail intent match when they’re just buzzwords. This section makes the offer concrete: definition, benefits, examples, and how to start.
Definition
A diagnostic run produces a report across visibility, semantic clarity, content, technical signals, and trust — plus recommended repair actions and a verification loop via re-runs.
Benefits
- Know why engines exclude you (not just that they do)
- Prioritize fixes with the highest leverage
- Reduce contradictions across engines with consistent definitions
- Prove improvement by re-running the same prompts
Examples
You’re not listed in ‘best X’ prompts → diagnose displacement and missing evidence.
Engines disagree about your category → standardize entity definitions + proof blocks.
You shipped changes → re-run and track stability, not one-off wins.
How to apply this on a page
- 1Create a project and start a scan.
- 2Review the weakest modules and the recommended repair actions.
- 3Ship targeted updates on the pages that carry the core meaning.
- 4Re-run to verify and prevent drift.
Choose your next step
Clear paths for learn → evaluate → act.