Observed Signal · Oct 13, 2026 · Research Release · Source: The Drum · Impact: 3/5 · Sentiment: Neutral

AI Search Creates Brand-Citation Gap, Semrush Research Shows

Executive Signal Summary

New research from Semrush, an Adobe company, reveals that AI platforms like ChatGPT, Gemini, and Google AI Overviews are creating a significant gap between brand mentions and citations. The AI Visibility Index 2026, measuring 22 categories across the UK and US, found only 36.7% to 45.3% overlap between top 100 brands mentioned and top 100 domains cited. This fragmentation means brands can dominate AI answers without their websites being cited, and vice versa. Marketers are advised to treat AI visibility as multi-dimensional, recognizing that different platforms yield different results and that PR, earned media, and content influence AI representation. The study recommends cross-functional ownership of AI visibility, localizing strategies, and measuring both mentions and citations separately.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

The research provides concrete data on brand visibility fragmentation across AI platforms, crucial for marketers adapting to AI-driven discovery. It signals a shift in SEO and brand strategy, but is not a breaking event like a major product launch or regulatory change.

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Key Takeaways & Evidence Grounding

  • Semrush's AI Visibility Index 2026 analyzed 22 categories across four AI platforms (ChatGPT, Gemini, Google AI Overviews, Google AI Mode) in the UK and US.
  • The overlap between top 100 brands mentioned and top 100 domains cited ranged from 36.7% to 45.3% in the UK.
  • Ford ranked in all four US top-100 mention lists but its domain ranked 748th to 1,320th in citations.
  • Tesco ranked 25th in ChatGPT citations while Asda ranked 606th in the UK.
  • AI Overviews had the lowest source overlap with other platforms.

Connected Companies & Entities

12 Entities mapped

“The study was conducted by Semrush, an Adobe company, and presented at its Spotlight conference.”

“Tesco appeared in the top 100 brand mentions across all four platforms, but ranked 25th among cited domains on UK ChatGPT.”

“Asda also appeared in top 100 mentions, but ranked 606th on UK ChatGPT, showing a gap between mentions and citations.”

Ontology Mapping & Concepts

Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: The Drum•Published: Oct 13, 2026
Original Coverage Title: “AI search is standing between brands and their customers: 5 decisions marketers need to make now”

Related Market Signals & Shifts

Recent verified developments and strategic activity across this market segment.

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AI Visibility Depends on Who Writes About Your Brand

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Large Language Models & AI search visibilityFeb 26, 2026

B2B Brands Risk Obscurity on AI Platforms, Study Finds

SEMAI analyzed 25,540 URLs cited by ChatGPT, Google Gemini, and Perplexity over a 60-day period and found each AI platform cites materially different content types. Blogs (41–55%) and webpages (38–47%) together account for more than 90% of AI citations, but platforms diverge on niche sources: ChatGPT cites LinkedIn, Wikipedia, and academic/research-backed content more than Gemini or Perplexity; Perplexity emphasizes comparison and solution pages; Gemini favors brand-owned blog content and avoids community sources. SEMAI argues that optimizing for a single channel (e.g., Google) can leave B2B brands invisible to buyers who begin research on AI platforms. SEMAI’s visibility platform tracks ChatGPT, Perplexity, Gemini, and Claude and offers LLM search volume metrics, cluster classifications, and AI-generated content calendars; a free AI visibility audit is available on its site.

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Search & AI brand visibilityAug 18, 2026

Study: AI visibility often diverges from SEO rankings

Fractl analyzed how three large language models (GPT-4o, Gemini 2.5 Flash, and Claude Sonnet 4.6) referenced brands across eight industries and compared those references to traditional SEO metrics from Ahrefs. While more than 90% of brands showed alignment between search authority and AI visibility, notable outliers existed: about 5% of brands (471) were underrepresented in model responses and about 4% (377) overperformed relative to their SEO footprint. Only 11% of brands were referenced by all three models, and model-specific recall patterns (e.g., Claude favoring SaaS/insurance, Gemini favoring travel/healthcare) create measurement and strategy challenges. The study concludes brands should measure AI recall separately, strengthen third-party corroboration, and fix categorization signals to improve AI recall.

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