Observed Signal · Sep 16, 2026 · Market Signal · Source: rankscale.ai · Impact: 3/5
Who Is Actually Winning AI Search? A Data-Grounded Look at the Agencies Leading GEO
A Rankscale study of 33 agencies measuring AI-search visibility, reputation, and documented GEO experience, beyond marketing claims.
Track Rankscale.ai Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Connected Companies & Entities
1 Entity mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
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.
PR Emerges as New SEO for AI Search Visibility
Fashion brands are increasingly turning to public relations (PR) as a key driver of visibility in AI-powered search engines, as generative engine optimization (GEO) gains prominence. Data analytics provider Launchmetrics, in collaboration with PR agency KCD, has introduced a new metric, AI Visibility (AIV), to measure a brand's presence in LLM responses on platforms like Google Gemini and ChatGPT. This metric complements the existing Media Impact Value (MIV) rankings, providing brands with a dual score to compare traditional media impact with AI-driven discoverability. The initiative highlights that earned media, such as press coverage and influencer mentions, significantly influences AI citations, with research indicating that over 80% of AI-cited links come from earned media. As consumer research increasingly starts with AI assistants, brands are expected to reallocate budgets from SEO towards PR and GEO strategies to enhance their AI visibility and overall brand awareness.
AI Search Revolutionizes Brand Visibility Strategies for CMOs
The article argues that discovery is shifting from traditional search results to AI-driven answer experiences, requiring CMOs to redefine visibility beyond rankings and clicks. Research into Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) shows enterprises are allocating budget and building capabilities for AI-native discovery: organizations report average budget allocations of 12% to AEO/GEO, many plan to increase spending, and high-maturity firms are accelerating investment. Although AI referral traffic is currently a small share of website visits (~1%), AI-generated answers appear in roughly 25% of Google searches and influence perception and shortlists upstream of clicks. New KPIs (brand mentions, domain citations, share of AI answers) and content strategies (long-form, structured data, clear authorship, technical hygiene) are emerging. Measurement and feedback loops remain key challenges as brands try to verify AI crawling and citation.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.