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AnswerMentions
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Organization facts

AnswerMentions audits the evidence behind AI recommendations.

AnswerMentions exists for one blunt reason: buyers are already asking AI systems which company to choose. If those systems name your competitors and skip you, the problem is no longer only search ranking. It is answer-level visibility.

What we are

A diagnostic tool and repair service for answer-engine visibility.

The product runs buyer-intent prompts, records which brands are recommended, extracts the cited sources, flags material errors, and turns the pattern into a fix plan. The paid work is not a magic model hack. It is the grounded SEO and content work that makes a company easier to verify: clearer pages, better source coverage, accurate directories, and evidence that can be reused.

We do not publish fake author bios, fake client logos, or anonymous authority theater. Site authorship is the AnswerMentions organization. When public examples are shown, they are labeled as samples or redacted teardowns so the method is visible without pretending to reveal private customer data.

Operating principles

What we will and will not optimize for.

AI visibility work gets silly fast when teams chase prompts instead of evidence. Our default position is conservative: measure the answer, trace the source, fix the fact, then retest.

01

Recommendations, not vanity mentions

A brand mention that does not help a buyer choose you is weak evidence. We count inclusion, position, recommendation language, cited sources, and factual accuracy.

02

Evidence before content

Publishing another article is not a strategy until the missing source is known. The audit names the pages, directories, profiles, and claims that influenced the answer.

03

Repair beats prompt tricks

The durable work is entity cleanup, source repair, comparison content, schema that matches visible facts, and repeat monitoring after recrawl.

04

Private reports stay private

Customer audit URLs remain authenticated and noindexed. Public examples use redacted samples, method notes, and source types rather than private client data.

Public entity record

The facts answer engines should be able to confirm.

These are the facts we want kept boring and consistent. If a public profile, directory, or comparison page contradicts them, the contradiction should be corrected instead of hidden.

Canonical domainanswermentions.com
Contact[email protected]
Primary usersB2B SaaS, local services, SEO agencies, content teams, Webflow agencies
Platforms auditedChatGPT, Gemini, Perplexity, Google AI results
Core deliverableScore, competitor share of voice, prompt rows, source map, errors, fix plan

Run the audit

Start with one website or brand name and get a free signal.

See a sample report

Inspect prompt rows, source gaps, wrong facts, and fix tasks.

Talk through a fix

Use the contact path when the gap needs implementation.

AnswerMentions

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

[email protected]

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AnswerMentions, LLC. AI recommendation intelligence.

Built for evidence, not prompt tricks.