AITWIRE

Know how AI answers about your business — and prove it.

AI answers are the new front door. AITWIRE analyzes what AI says about you, publishes verified fixes as machine-readable surfaces, and — uniquely — re-measures what changed: verified change — reported only when it clears the statistics — plus a per-crawler fetch log of what came for the bytes.

1

Analyze

Continuously probe the AI engines your buyers use (ChatGPT, Claude, Gemini, Perplexity, Grok, …), score accuracy, citation, sentiment, and recommendation bias against your canonical facts — with an honest confidence interval on every number — and turn the gaps into prioritized recommendations.

2

Publish

Turn measured gaps into data briefs, verified facts, and structured data — suggest-and-confirm, so you approve everything before it publishes to AI-readable surfaces (your own CMS, free structured surfaces, and social, canonical to your domain) — then re-measure on an escalating verification schedule to confirm the change landed. AITWIRE never writes your prose.

3

Prove

Two tiers of evidence. Effect: we measure the before/after change on every fix and report it honestly — a movement counts as real only when it clears the combined 95% interval, never assumed. Source: a controlled retrieval test, with controls that bound false positives, that can detect when an engine retrieves a specific surface — a rare, hard-to-earn signal we report only when the statistics support it, never guesswork.

Why the numbers are defensible

Precision

Honest confidence intervals (effective-n): a score is labelled “high confidence” only when the sample genuinely supports it — never overclaimed.

Causation

Two tiers of evidence. Effect: a change counts as real only when it clears the combined 95% interval (“is this change real?”). Source: when content is exclusive to an AITWIRE surface, a controlled retrieval test — with controls that bound false positives — can distinguish genuine retrieval from chance.

Validity

Tenant-confirmed facts calibrate the scorer; detected false claims are corrected; nothing AI-derived is auto-published as truth.

Usefulness

A unified digital profile shows exactly where AI gets you right, wrong, negative, or silent — and what to do about each.

Proof, not guesswork

  • Verified change + significance — expected vs re-measured delta on the same prompts, called real only when it clears the combined 95% interval
  • Citation provenance — which URL the AI provider actually cited (yours or an AITWIRE surface)
  • AI Crawler Fetch Report — per crawler, every fetch of your AITWIRE-served surfaces; a fetch log, not a retrieval claim
  • Post-approval re-measurement — every approved change is re-measured on the same prompts with model-wide drift netted out; inconclusive is reported as inconclusive
  • Controls that bound false positives — so a chance match is never mistaken for genuine retrieval
  • Honest intervals — widened for correlated samples so confidence is earned, not assumed

aitwire.com · Defensible AI performance measurement