Observed Signal · Aug 18, 2026 · Research Study · Source: https://martech.org/feed/ · Impact: 3/5 · Sentiment: Neutral
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.
Quantitative study showing that LLM recall often diverges from traditional SEO, with actionable implications for SEO measurement, brand categorization, digital PR, and model-specific visibility tracking.
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Key Takeaways & Evidence Grounding
- Fractl analyzed 4,320 model responses and more than 8,500 unique brand references across eight industries.
- About 5% of brands (471) were underexposed in LLMs despite high domain ratings and organic traffic.
- About 4% of brands (377) overperformed in AI references relative to their traditional SEO metrics.
- Only 11% of brands (900) in the dataset were referenced by all three models; 77% were referenced by only one model.
- Monday.com was the largest overperformer with an AI Visibility Score of 0.71.
Connected Companies & Entities
30 Entities mapped“Travel was the most concentrated category:Booking.com (285 mentions), Airbnb (227), and Expedia (215) accounted for roughly 20% of the secto...”
“Travel was the most concentrated category:Booking.com (285 mentions), Airbnb (227), and Expedia (215) accounted for roughly 20% of the secto...”
“Travel was the most concentrated category:Booking.com (285 mentions), Airbnb (227), and Expedia (215) accounted for roughly 20% of the secto...”
“Wellness had the deepest bench:Peloton, Headspace, Calm, Whoop, and Oura all cleared 168 mentions.”
“Fractl then mapped the brands identified in those responses to Ahrefs data, including domain rating, organic traffic, referring domains, and...”
“Six of the top 15 overperformers were in education:Stanford, MIT, Khan Academy, LinkedIn Learning, IBM Data Science, and Google Career Certi...”
“Legacy insurance carriers got displaced:Aetna, Cigna, Humana, Liberty Mutual, and Trustpilot all sat at DR 80+ with millions of monthly visi...”
“Legacy insurance carriers got displaced:Aetna, Cigna, Humana, Liberty Mutual, and Trustpilot all sat at DR 80+ with millions of monthly visi...”
“MarTech is owned by Semrush.”
“Fractl analyzed AI visibility across eight industries using GPT-4o, Gemini 2.5 Flash, and Claude Sonnet 4.6.”
“Wellness had the deepest bench:Peloton, Headspace, Calm, Whoop, and Oura all cleared 168 mentions.”
“Six of the top 15 overperformers were in education:Stanford, MIT, Khan Academy, LinkedIn Learning, IBM Data Science, and Google Career Certi...”
“A few of the patterns we spotted:Microsoft and Spotify topped the list in FinTech:They’re the giants of traditional visibility, but the mode...”
“Lifestyle was the loudest signal of the methodology working:Patagonia, Allbirds, Eileen Fisher, and Everlane (sustainability-coded direct-to...”
“Monday.com was the biggest overperformer in the dataset,with an AI Visibility Score of 0.71.”
“Root Insurance (165) ranked above Progressive (114).”
“The pattern held across every sector. A handful of categories do have winners the models clearly recognize, but plenty of the time, those pi...”
“Insurance broke the way industry watchers should have expected:Lemonade (213) ranked above State Farm (172).”
“Healthcare giants were under-indexed.Medtronic, GoodRx, Humana, and 23andMe.”
“The pattern held across every sector. A handful of categories do have winners the models clearly recognize, but plenty of the time, those pi...”
“Root Insurance (165) ranked above Progressive (114).”
“SaaS and FinTech sat between 3% to 4% over and 6% under. That’s because in these categories, the story is one incumbent replacing another (S...”
“A few of the patterns we spotted:Microsoft and Spotify topped the list in FinTech:They’re the giants of traditional visibility, but the mode...”
“Six of the top 15 overperformers were in education:Stanford, MIT, Khan Academy, LinkedIn Learning, IBM Data Science, and Google Career Certi...”
“Lifestyle was the loudest signal of the methodology working:Patagonia, Allbirds, Eileen Fisher, and Everlane (sustainability-coded direct-to...”
“The pattern held across every sector. A handful of categories do have winners the models clearly recognize, but plenty of the time, those pi...”
“Fractl analyzed AI visibility across eight industries using GPT-4o, Gemini 2.5 Flash, and Claude Sonnet 4.6.”
“Lifestyle was the loudest signal of the methodology working:Patagonia, Allbirds, Eileen Fisher, and Everlane (sustainability-coded direct-to...”
“Six of the top 15 overperformers were in education:Stanford, MIT, Khan Academy, LinkedIn Learning, IBM Data Science, and Google Career Certi...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI Search Creates Brand-Citation Gap, Semrush Research Shows
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.
Marketers scramble to measure AI brand visibility
Marketers are increasingly concerned about how AI chatbots and large language models (LLMs) cite or mention their brands in responses, prompting a shift in advertising strategies. The Interactive Advertising Bureau (IAB) is developing a framework to standardize the measurement of AI visibility. Data shows brand citation shares vary significantly across platforms like Microsoft Copilot, ChatGPT, and Gemini, while LLMs show preferences for different source types. Trust in AI search is growing, with 95% of US respondents finding AI answers as trustworthy as search engines. However, measurement is challenging due to the non-deterministic nature of AI models. This has led to new roles like Head of AI Search and the allocation of ad budgets to influence AI recommendations.
Myths About AI Visibility in LLMs Debunked
Digiday interviewed agency experts who debunk common misconceptions about brands’ visibility in large language models (LLMs). Experts say AI visibility is largely an evolution of SEO — many traditional SEO principles (backlinks, quality content, site health) still matter — but new priorities (earned media, citations, cross-channel signals) are critical. Agencies are experimenting with structured data, earned media and links between paid social and AI visibility. The piece warns there are no silver-bullet hacks, that LLMs draw from many web sources beyond brand sites, and that measurement should shift from click-through metrics to share-of-voice and context. Contributors include executives from RPA, Go Fish Digital, VML and Markacy. A Brainlabs report cited in the article estimates 30% of shoppers now use AI for product research.
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