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Aleyda Solis

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Aleyda Solis presents a content prioritization framework using six dimensions (click resilience, citation potential, brand mention potential, business value, proprietary advantage, and expected effort) to identify which content types remain valuable when AI can answer queries directly.

Content & StrategyAI & Machine Learning in SEOSEO News & Algorithm Updates72
Guide

Aleyda Solis's analysis of 15 leading brands shows AI search relies on external sources for 70–82% of top citations, making digital PR and social presence as critical as owned-site content.

AI & Machine Learning in SEOContent & StrategyLink Building & Digital PRSEO News & Algorithm Updates72
Research

Aleyda Solis's analysis of the May 2026 Core Update reveals that Google prioritized source type fit and user intent over raw authority, causing significant visibility swings across reference brands, forums, ecommerce, and marketplaces.

SEO News & Algorithm UpdatesContent & StrategyTechnical SEO75
Analysis

AI traffic remains tiny versus organic search, but AI citations reveal a distinct visibility layer that matters for discovery and evaluation—requiring separate measurement strategies.

AI & Machine Learning in SEOSEO News & Algorithm UpdatesAnalytics & MeasurementContent & Strategy72
Analysis

Analysis of 87.6M AI search visits across 10 markets shows local and regional domains, not global brands, often lead AI search results—fundamentally reshaping competitive dynamics by market and vertical.

SEO News & Algorithm UpdatesAI & Machine Learning in SEOLocal SEOAnalytics & Measurement78
Research

Aleyda Solis's analysis of Google's March 2026 core update reveals visibility consolidating around stronger destination brands, official sources, and dominant platforms at the expense of intermediaries and aggregators.

SEO News & Algorithm UpdatesContent & StrategyAnalytics & Measurement78
Analysis