Semrush urges diagnosis before rewriting for AI search

Marketers planning for AI search should begin by identifying where their brand’s visibility is breaking down, according to a Semrush blog post. The post frames the work as a diagnostic exercise rather than an immediate content-rewriting project. Its central distinction is that a business can face different problems: AI systems may be unable to access its website, or they may describe the business inaccurately. Each situation calls for a different starting point.

Website access is one question to examine before changing the copy. If an AI system cannot reach a site, rewriting a page does not address that access problem. Marketers can therefore separate the task of checking whether the site is reachable from the decision about whether its content needs revision. The point is not that copy changes are never useful, but that they should follow an assessment of the issue.

Brand descriptions require a separate review. A site may be accessible while an AI system still presents the business incorrectly. In that case, the initial question is not simply whether the company has published enough content, but what the system is saying about it. Marketers can compare those descriptions with verified information about the brand before deciding what action to take.

Semrush presents its approach as a four-layer view of brand visibility. The available summary identifies access and inaccurate descriptions as concerns, but it does not explain all four layers. It therefore does not provide enough detail to assign every possible check to a layer or to describe the full framework. What it does make clear is the order of work: establish the nature of the problem before choosing a response.

What this means for marketers

Start by documenting whether the concern is site access, an incorrect brand description, or both. Treat those as distinct questions rather than assuming a content rewrite will resolve either one. If changes to copy are considered, connect them to the problem identified in the review and check the result against that problem. This gives teams a more focused basis for deciding what to do next.