Somantra says one word can reshape how ChatGPT describes a brand

Somantra released a study on August 17, 2026, showing that adding a single modifier like “cheapest” or “safest” to an AI search query can materially change how ChatGPT frames a brand, even when the brand still appears in the answer. The findings matter for marketers tracking not just visibility in AI search, but whether the AI’s wording helps a brand get chosen.

Why it matters: - Small wording changes can alter brand positioning inside AI search results, which means visibility alone may not be enough for marketing teams to understand whether a brand is being presented as a preferred choice. - The study points to a new measurement problem for AI search and answer engine optimization: brands may appear in responses but lose the persuasive framing that drives selection.

What happened: - Somantra, a Sydney-based AI Search brand mindshare monitoring platform, released a study on August 17, 2026, analyzing how ChatGPT describes insurance brands in Australian shopping queries. - The analysis covered 4,445 ChatGPT responses that included brand comparison tables. - Somantra isolated 135 matched query pairs where a single decision word was added to an otherwise identical prompt, and the same brand appeared in both responses. - The added words included terms such as “cheapest,” “safest,” and “most trusted.”

The details: - The median word shift across the 135 observations was 0.94 on a 0 to 1 scale, which means the modified query rewrote almost all visible text used to describe a brand. - The median semantic distance was 0.53, showing that the underlying meaning also moved materially, not just the wording. - Price-related modifiers caused the largest rewrites. - Adding “cheapest” or “most affordable” produced an average word shift of 0.97. - “Best” generated the largest shift in reasoning, with a median semantic distance of 0.60. - “Most trusted” produced the largest positive sentiment movement, lifting net sentiment by 0.50 across 16 observations. - In one matched Home Insurance pair, ChatGPT described AAMI without a modifier as a large mainstream insurer offering home and contents cover. - Adding “safest” to that same query produced a more detailed value-and-coverage rationale tied to Queensland performance and a named industry award. - In the same pair, QBE saw a smaller shift and stayed framed as a general option. - Both brands remained visible in the response, but only one gained a stronger reason to be chosen. - Home Insurance produced the largest observed movement in the study, with a median word shift of 0.98 across 46 clean observations. - Roadside Assistance, Motorcycle Insurance, and Travel Insurance also showed measurable shifts, but smaller ones. - Somantra says those category differences show that a single AI visibility score cannot fully explain how different product categories are evaluated by AI search engines. - The full study, including the complete dataset, brand-by-brand results, and methodology, is available at the full study. - The underlying code and query data are public on GitHub at Somantra/AEO-research.

Between the lines: - The study suggests AI search behavior is not just about whether a brand is mentioned, but how the model narrates the brand’s relevance in response to shopper intent. - That makes query context more important than a simple presence-or-absence metric, especially in categories where price, trust, protection, and fit can swing the recommendation. - Somantra frames perturbation testing as a complement to temporal monitoring, which tracks brand inclusion and citation patterns over time. - Temporal analysis shows what changed across months, while perturbation analysis shows how sensitive a brand’s positioning is to a single wording change within one query moment. - Arun Prasad, Somantra founder, said many brands track mentions in AI Search without measuring whether those mentions help them get chosen.

What's next: - Somantra recommends that marketing and SEO teams build query neighborhoods around core decision factors such as price, trust, protection, ease, and audience fit. - The company also recommends tracking word shift, semantic distance, and sentiment movement for each brand across those query variants. - Somantra says its platform tracks how brands are represented across ChatGPT, Google AI Overviews, Claude, and Perplexity using Brand Mindshare, Brand Engagement, and Brand Consideration metrics. - More information is available at somantra.ai.

The bottom line: - In AI search, one extra word can change the argument even when the brand stays the same.