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Search Appearance Evidence Review Sheet

Interpret a Search Console appearance category using its actual definition and reporting scope before making claims about rich results or visibility.

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When to use this template

Use this when a Search appearance option is available in the property report and you need to understand the page group and period behind it. Preserve the exact category rather than renaming it as a generic AI citation.

Choose another approach when: The category has no recorded evidence, you intend to invent review or product markup to gain it, or a valid schema test is your only delivery evidence.

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Worked example

Illustrative example, not a Crany customer result. Replace every example detail with facts you can verify.

Fictional property has an appearance category recorded for a set of tutorial pages. The reviewer preserves the category's actual label and definition, dates and page filter.
The report supports saying that this property recorded that appearance in that period. It does not prove every tutorial received it, every valid markup instance displayed, or an AI assistant recommended the product.
One page's markup no longer matches visible content, so the owner requests a scoped correction rather than adding unsupported eligibility claims.

How to use it

  1. Read the current category definition and save the exact reporting scope.
  2. Compare the relevant page content with its implemented markup and investigate mismatches.
  3. Write a bounded finding that separates validation, recorded appearance and business outcomes.

Check before using it

What to measure

Monitor accurate content/markup correspondence and comparable recorded appearance over time. Treat absent category data as an evidence limit; it does not automatically diagnose a technical failure or prove a competitor received the feature.

Research and sources

Google documents appearance grouping, available categories and the distinction between filtered URL clicks and clicks on the feature itself. This original review separates actual report evidence from schema validity and does not create a generic AI-citation metric.

About Crany

Crany is an AI marketing co-founder in development for software founders and vibe coders, designed to strategize, execute approved marketing and improve based on results. This free resource is usable independently of the product. Join the public waitlist.

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