Mention prompts

Mention prompts are the questions CLEA tracks to see how AI systems answer buyer questions.

They measure whether your brand appears, who appears instead, and which sources shape the answer.

A strong mention prompt sounds like a buyer. It asks for help choosing, comparing, evaluating, or solving a real problem.

Use language your customer would use. Avoid prompts that only make sense inside your company.

The result shows whether your brand was named and how it was described.

A mention is not automatically good. Read the answer and check whether the claim is accurate, current, and useful.

When your brand is missing, the named alternatives matter. They show who AI systems currently trust for that question.

Add strong recurring competitors to your tracking. Ignore one-off noise until it repeats.

Each prompt run becomes stored evidence. That makes it possible to compare answers later and ask CLEA to explain changes.

Chatlogs are also the raw material for suggestion cards and deeper analytics.

Bad prompts create bad data. If a prompt is too broad, too branded, or not buyer-like, the analytics will be harder to trust.

Review prompt quality before increasing schedule volume.

When a prompt reveals a gap, CLEA can turn it into a suggestion card.

Common cards include prompt cleanup, competitor review, source opportunity, content gap, or sitemap work.

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