Skyword Survey: AI Answers Make Brands Harder to Tell Apart

What happened

A new survey from content marketing platform Skyword finds that generative AI is beginning to blur the distinctions between brands rather than sharpen them. According to the research, 45% of US adults say they have struggled to choose between two companies because the AI-generated answers summarising each one made them sound effectively the same.

The finding points to a structural side-effect of answer engines, chatbots and AI-powered search summaries: by condensing company information into short, templated responses, these tools can strip out the tone, positioning and detail that traditionally helped a brand stand apart. The result, per the survey, is that being surfaced by an AI system does not guarantee a brand is actually registering with the person reading the answer.

Why it matters

As more purchase research shifts from traditional search results pages to AI-generated summaries, brands are increasingly dependent on how generative systems choose to paraphrase them — a process largely outside marketers' direct control. If AI tools default to flattening distinctive language into generic, interchangeable descriptions, visibility in an AI answer no longer translates automatically into brand recall or preference.

For experience and marketing leaders, this reframes the optimisation challenge: it is not enough to be cited or ranked by an AI system; content, positioning and brand voice need to be distinctive enough to survive summarisation. That has direct implications for how organisations structure their web content, product descriptions and brand messaging for an AI-mediated discovery environment.

By the numbers

• 45% of US adults surveyed reported difficulty distinguishing between two companies because AI-generated answers described them in near-identical terms.

The Renascence take

This finding exposes a gap between two things brands have been treating as synonymous: appearing in an AI answer, and being remembered because of it. They are not the same job, and the metrics most organisations currently track only measure the first.

The behavioural reality is that choice under ambiguity defaults to price, convenience or whichever option happens to load first — AI-flattened language removes the differentiation signals people actually use to decide. Brands chasing "AI visibility" as a KPI are optimising for the wrong outcome if every competitor ends up sounding the same in the summary. The more durable move is to double down on distinctive, ownable language and experience cues — in product pages, support interactions and brand voice — that are specific enough to resist being averaged out by a generative model. Visibility without distinctiveness is just a more expensive way to be forgotten.