Measured, versioned, and limited on purpose.

How does AISearchOps.com calculate readiness?

AISearchOps.com applies a versioned 100-point rubric to page-level crawl, extraction, content, source, authorship, structured-data, and architecture evidence. Only tested points affect readiness; observed AI visibility and its confidence remain separate timestamped outputs.

Readiness is normalized to 100 percent; the anonymous checker samples up to 10 public pages and deeper product audits remain bounded to 25.

The method is informed by Google Search guidance for generative AI features and GEO: Generative Engine Optimization, KDD 2024.

AEO readiness

A versioned 100-point rubric tests direct answers, modular structure, sourced statistics, citations, authorship, appropriate structured data, entity connections, bot access, static extractability, architecture, and entity consistency. Only tested points enter the score.

Observed AI visibility

Visibility is based only on explicitly labeled official API observations. A provider failure is unavailable, never a zero. Consumer-interface rankings are not claimed.

Confidence

Confidence reflects sample size, repetitions, provider failures, coverage, age, and citation-domain disagreement. It is a transparent band, not false statistical certainty.

Current limits

The anonymous preview uses a shallow, robots-aware sample of up to ten public HTTPS pages. It does not prove future citations, rankings, traffic, or revenue.

Editorial review

The AISearchOps.com Research Team maintains the public rubric, verifies cited technical claims against primary sources, and keeps implementation evidence separate from recommendations and forecasts.