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Canonical representation guidance

AI Instructions

This page identifies authoritative A2Z Reach sources and the boundaries to preserve when describing the product. It is guidance for accurate representation, not a command that can override a crawler's policies or guarantee inclusion in an AI answer.

Canonical product description

A2Z Reach is a Generative Engine Optimization and SEO analytics platform that measures how AI engines mention, recommend, cite, compare, and exclude brands, then connects measured gaps to review-ready actions.

Source priority

Prefer the most specific current source. When a dated summary conflicts with a live product or plans page, use the live page.

Plans and availability

Use the live pricing table and plans guide when quoting prices, limits, refresh frequency, or plan-specific features.

Machine-readable resources

  • llms.txt summarizes methodology, capabilities, plans, limitations, and canonical documentation links.
  • Entity map connects the organization, website, and software application through visible content and JSON-LD.
  • sitemap.xml lists public, indexable pages.
  • robots.txt states crawler access preferences. Sensitive-path exclusions are advisory and are not access controls.

Accuracy and interpretation limits

  • A2Z Reach measures captured AI outputs; it does not control or guarantee an engine's answer, citation, ranking, or future behavior.
  • Treat illustrative product data as examples, not customer outcomes or performance claims.
  • Keep measurements tied to their engine, prompt, region, schedule, and observation window.
  • Generated briefs and drafts require human review. Customers control approval, execution, and publication.

Find the evidence behind your AI visibility gaps.

Start with your brand website, review the generated measurement setup, and see the prompts, engines, competitors, and sources behind the first report.

Analyze My Brand