About Dottly AI

Dottly AI makes AI visibility inspectable, not mysterious

Dottly AI helps marketing teams, SEO teams, and founders see how AI assistants handle the buyer questions that shape consideration. We keep the questions, answers, cited sources, and competing brands visible so every metric can be traced back to evidence.

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Our approach

Measure the answer behind the metric

A visibility percentage is only useful when you can inspect what produced it. Dottly AI starts with a controlled question set, preserves the returned answers, and repeats the same checks so teams can compare evidence instead of guessing from a single score.

Start with buyer questionsBuild the baseline around the discovery, evaluation, and comparison questions that matter to the business.
Keep the evidence visibleConnect every mention, recommendation, competitor, and citation metric to the answer that produced it.
Compare the same questions over timeUse a stable question set to see whether changes to content, positioning, and third-party coverage move the answer.

Measurement boundaries

Clear about what the data can—and cannot—show

Dottly AI reports repeatable API-model samples. They are designed for diagnosis and trend comparison, not for estimating every answer seen by every AI user.

What Dottly AI measures

Whether your brand appears in each valid answer
Whether the answer explicitly recommends your brand
Which competing brands appear on the same buyer question
Which sources are cited when citation data is available

What we do not claim

A universal rank across every AI model, interface, and user session
Consumer search volume or traffic attribution from the sampled answers
That one response predicts every answer a buyer may receive

Bring one real brand question

Start with your website, review the six buyer questions, and inspect the returned evidence before deciding what deserves ongoing monitoring.

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