More than 60% of SEO teams now integrate automation tools into workflows. Tom Mansell, VP of Organic Performance at Croud, shares how enterprise teams can leverage AI and automation to scale research, auditing, and strategic planning while maintaining quality control. The discussion covers three core automation frameworks: research-driven topic clustering and competitive analysis, systematic SEO auditing with repeatable guidelines, and strategic brand perception analysis using large language models to extract actionable insights from third-party data sources.

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Enterprise brands face fragmented search behavior across multiple AI-powered platforms. Daniel Horowitz, SEO strategist at Informatica, explains how brands must establish topical authority across Google AI mode, ChatGPT search, and social discovery platforms to capture modern search intent. The discussion covers strategic positioning for synthetic queries, optimizing for AI overview inclusion, and building semantic relationships through advanced internal linking structures that support entity-based content clusters rather than traditional keyword groupings.

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AI-generated content has fundamentally shifted how brands must establish topical authority across multiple search platforms. Daniel Horowitz, SEO strategist at Informatica, explains how enterprise brands are adapting their content strategies to maintain visibility as search behavior evolves beyond traditional Google queries. The discussion covers strategic approaches for building semantic relationships through advanced internal linking architectures and developing content distribution frameworks that address synthetic queries across emerging AI search platforms. Horowitz outlines practical methods for creating topical authority signals that perform effectively in both traditional web results and AI-powered search experiences.

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Topical authority requires omnipresence across AI-powered search platforms. Daniel Horowitz, SEO leader at Informatica, explains how brands must establish authority across Google's AI mode, ChatGPT search, Perplexity, and social platforms as user behavior shifts from exploration to informed querying. The discussion covers semantic relationship optimization through strategic internal linking and the experimental approaches needed to crack emerging AI search ranking factors.

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Enterprise brands face a critical resource allocation decision between content development and link acquisition strategies. Daniel Horowitz, SEO leader at Informatica, shares insights from managing search strategy at a global data management company serving Fortune 500 clients. The discussion covers topical authority requirements across emerging search platforms including AI mode, synthetic queries, and alternative search engines beyond traditional Google results. Horowitz outlines strategic frameworks for omnipresence marketing and adapting content distribution to evolving user search behaviors in an AI-driven landscape.

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Topical authority requires omnipresence across evolving search platforms beyond traditional Google dominance. Daniel Horowitz, SEO strategist at Informatica, demonstrates how enterprise brands must adapt to synthetic queries, AI mode, and multi-platform discovery behaviors where users arrive pre-informed rather than exploratory. The discussion covers semantic relationship optimization through strategic internal linking frameworks, ranking factor adaptation strategies for AI-powered search environments, and scalable approaches for meeting changing user demand across ChatGPT search, Perplexity, and social discovery platforms.

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AI-generated content is flooding search results, making topical authority more critical than ever. Daniel Horowitz, SEO strategist at Informatica, shares how enterprise brands can maintain competitive advantage as search behavior shifts across multiple platforms including Google's AI mode, Perplexity, and social search channels. The discussion covers strategic approaches for establishing semantic relationships through advanced internal linking architectures and building cross-platform authority signals that perform in both traditional and AI-powered search environments.

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Enterprise SEO teams struggle with proper crawler management protocols. Duane Forrester, former Bing executive and founder of UnboundAnswers.com, clarifies critical misconceptions about bot control mechanisms that impact AI training data access. The discussion covers why LLM.txt files are ineffective compared to established robots.txt protocols, proper syntax implementation for crawler directives, and strategic considerations for allowing AI system access to enterprise content.

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Google's AI overviews now appear in over 50% of search results. Duane Forrester, founder and CEO of UnboundAnswers.com and former Microsoft search engine insider, brings two decades of industry perspective to navigating this transformation. The discussion covers essential skill development for AI-era SEO including structured data mastery for LLM consumption, chunking content strategies that balance machine readability with human engagement, and critical evaluation frameworks for emerging AI SEO tools that prioritize trustworthiness over feature quantity.

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Enterprise SEO teams waste resources on ineffective LLM.txt files instead of proven protocols. Duane Forrester, former Bing search engineer and founder of UnboundAnswers.com, explains why major crawlers including AI systems still follow established robots.txt standards. The discussion covers proper robots.txt syntax implementation, the default crawl behavior that eliminates need for "do crawl" directives, and strategic resource allocation between technical infrastructure and content quality initiatives.

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