Improving brand visibility in AI search

Buyers use AI to research problems and compare suppliers, often before visiting a website. Marketing teams need to know whether their brand appears, whether the answers reflect their expertise, and which content changes are worth making.

Which buyer questions should our AI search content answer?

Prioritise buyer questions about specific decisions that your business has the expertise and evidence to answer authoritatively.

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How do we track our brand's AI visibility?

Track your brand's AI visibility by testing customer questions across relevant AI platforms, recording the answers and brand mentions, and repeating the tests regularly.

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What should we compare in competitors' AI answers?

Compare brand mentions, the substance of answers and competitive positioning using equivalent questions about your brand and its main competitors.

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How do we get accurate AI brand descriptions?

Get accurate AI brand descriptions by checking AI answers against verified facts, resolving gaps and contradictions in your material, and publishing a clear, current account supported by evidence.

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What makes our brand credible in AI search?

Your brand is credible in AI search when its positioning is clear and consistent, backed by demonstrable customer experience and trustworthy evidence beyond its own claims.

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Should we rewrite our website for AI search?

No: keep useful human-facing storytelling and add focused, evidence-backed answer resources alongside it, rather than rewriting every page for AI search.

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What should our AI answer pages include?

AI answer pages should give a direct answer to a specific buyer question, supported by relevant expertise, case studies and statistics in your brand's voice.

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When should we update our AI search content?

Review AI search content continually and update it when buyer questions, competitors, technologies or your own business change.

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