TL;DR Summary:
Visibility Gaps: Semrush says brands can be invisible in AI answers for five different reasons, including missing mentions, missing citations, and weaker narratives than competitors.Scale Matters: The toolkit analyzes more than 289 million prompts and responses across major AI platforms, which helps separate real visibility gaps from random answer variation.Fix the Right Gap: The report points to where competitors win, which sources AI trusts, and which content themes need work, so teams can choose the right fix before creating more content.Why does your competitor show up in ChatGPT answers and your brand doesn’t? Semrush released an AI Visibility Toolkit on July 27, 2026, built to answer that exact question by comparing where brands get mentioned, cited, and described in AI-generated answers. As search shifts from ranked links to written answers, brands with no view into these AI visibility gaps risk losing customers to rivals that AI systems recommend instead.
Five Types of AI Visibility Gaps You Need to Track
Semrush breaks AI visibility gaps into five categories: mention, prompt, source, citation, and narrative. A mention gap means your brand doesn’t show up in an AI answer at all. A prompt gap points to the exact question where that happens. A source gap means a third-party website that AI relies on for answers never mentions your brand. A citation gap means AI doesn’t link to your website as a source. A narrative gap means AI mentions your brand but describes competitors more favorably. Each type needs its own fix, so identifying the right one matters before you act. Since these categories only tell you that a gap exists rather than why it’s happening, tools like AI Mentions are built specifically to trace mention and narrative gaps back to the prompts and competitor content actually driving them.
The Data Behind Semrush’s AI Visibility Gap Analysis
Semrush’s Competitor Research report draws from a database of more than 289 million prompts and responses collected across ChatGPT, Gemini, Google AI Overviews, and AI Mode, covering over 40 regional markets. Because AI systems give different answers to the same question each time, a single response tells you almost nothing. Semrush’s scale lets you spot patterns across hundreds of responses instead of guessing from one answer. This volume is what separates a real AI visibility gap from random variation.
How the Competitor Research Report Finds AI Visibility Gaps in Prompts and Sources
Inside the toolkit, you enter your domain along with up to four competitors, and Semrush suggests rivals if you’re unsure who to track. The report shows an AI Visibility score from 0 to 100, an audience estimate, and total mention counts across ChatGPT, Gemini, Google AI Overviews, and Google AI Mode. The Sources tab shows which third-party websites, review sites, or forums like Reddit feed competitor mentions but skip your brand. For a project management example, Semrush cites Asana and Monday: if ChatGPT recommends Asana while citing a niche tech blog, that blog becomes a source gap for Monday.
Brand Performance Reports Reveal Narrative and Sentiment Gaps
The Brand Performance report pulls from a separate set of real branded and non-branded queries, tracking ChatGPT, Google AI Mode, Perplexity, and Gemini. In one example from the report, Asana scored 92% favorable sentiment on cited pages compared to 67% for Monday. The Key Business Drivers heatmap shows which brand “owns” attributes like pricing or product assortment in AI answers, marked with a trophy icon. Low rankings on drivers relevant to your category point to a narrative gap worth fixing with new content.
Comparing Citation Gaps Across Competitor Domains
The Visibility Overview report shows how many unique pages on your site AI platforms cite, compared against competitor totals. Semrush recommends exporting this data as a CSV file and running it through an AI model such as Claude Opus 4.8 to sort competitor pages into topic clusters. In one test, this method showed that competitor blog and knowledge hub pages accounted for the majority of citations, giving a clear list of content topics to build to close the gap.
Start by picking one AI visibility gap type and one competitor to benchmark this month. Watch for sudden shifts in mentions or sentiment, since those often trace back to AI model updates rather than anything you did. Treat this work as an extension of the competitor research you already do for SEO, not a separate project. If you want to go deeper than Semrush’s gap categories and pinpoint the exact queries and content gaps causing competitors to get recommended instead of you, AI Mentions diagnoses those citation gaps and tests whether your fixes actually move the needle before you invest in new content.
