Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

LLM.txt files offer no actual SEO value for content creators. Duane Forrester, former Bing executive and founder of UnboundAnswers.com, explains why these files are "total trash" since all AI crawlers already follow standard robots.txt protocols. He details how Creative Commons bot handles most AI training data collection, making additional file formats unnecessary, and provides guidance on proper robots.txt syntax to avoid blocking beneficial AI crawlers from accessing content.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Retrieval-based search is transforming how SEO professionals approach keyword strategy. Duane Forrester, former Bing Senior Product Manager and founder of UnboundAnswers.com, argues that traditional keyword research must evolve beyond single-term optimization to remain effective in AI-driven search environments. The discussion covers query fan-out methodology for topic expansion, conversation-based keyword research techniques that mirror natural language patterns, and strategic frameworks for adapting keyword research processes to accommodate LLM search behaviors and retrieval-based ranking systems.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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, shares how his unique perspective from inside search engines informs adaptation strategies for the current AI transformation. The discussion covers machine trust fundamentals through structured data implementation, content chunking strategies for LLM consumption, and the critical shift from traditional keyword targeting to goal-oriented content creation that serves both human readers and AI systems.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Customer data integration challenges cost enterprises millions in missed revenue opportunities annually. Eddie Patzsch, marketing strategist at Optimove, shares proven frameworks for securing technical leadership buy-in for customer data infrastructure investments. The discussion covers quantifying business impact through cost-of-inaction modeling, positioning data integration as an efficiency multiplier that reduces ad hoc technical requests, and leveraging AI readiness initiatives to align marketing data needs with existing technical priorities.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.