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Redacted audit teardowns

Case studies that show the source gap, not just the score.

These public examples are intentionally labeled as redacted samples. They show how AnswerMentions organizes prompt evidence, competitor recommendations, missing sources, wrong facts, and fix tasks without exposing private customer strategy.

B2B SaaS

B2B SaaS Source Gap Teardown

A redacted sample audit showing how a SaaS brand can lose recommendation share when category lists and comparison pages support competitors instead.

Brand

2 of 20 prompts

Competitors

14 competitor mentions across the same prompt set

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Local services

Local Service Directory Conflict Teardown

A redacted local-services audit showing how stale directory data and thin service-area proof can make AI recommend nearby competitors.

Brand

0 of 20 prompts

Competitors

11 competitor mentions across local-intent prompts

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SEO agencies

Agency White-Label Audit Teardown

A redacted agency workflow showing how a white-label AI visibility report can become a prospecting asset, not just a dashboard export.

Brand

1 of 20 prompts

Competitors

16 competitor mentions across prospecting screenshots

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The honest case-study rule.

We will not invent client logos, outcomes, or quotes to make AI visibility look more mature than it is. A useful teardown can be public, anonymized, and still specific enough to help a buyer see exactly what the paid report contains.

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Find out whether AI recommends your company, who it recommends instead, and which evidence will change the answer.

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Built for evidence, not prompt tricks.