The Emergence of Generative Engine Optimization: A Comprehensive Analysis of LinkedIn Thought Leadership in AI SEO

The search engine optimization landscape in 2026 is defined by a fundamental pivot from traditional link-based ranking systems to probabilistic generative answer engines. This transition has birthed a new echelon of LinkedIn influencers and technical practitioners who are currently codifying the rules of Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). The velocity of change in this sector is dictated by a group of experts who combine large-scale data analysis, programmatic automation, and strategic leadership to redefine how brands achieve visibility in a "webless web" where AI platforms like ChatGPT, Perplexity, and Google’s AI Overviews serve as the primary destinations for information.   

The Strategic Architects of the AI Search Economy

The first tier of influence on LinkedIn is occupied by strategic leaders who interpret the macro shifts in artificial intelligence for an executive audience. These individuals focus on AI literacy, business ROI, and the integration of agentic workflows into corporate decision-making processes.

Pascal Bornet and the Human-Centric Automation Movement

Pascal Bornet stands as a preeminent figure in the LinkedIn AI ecosystem, holding the position of the #1 Top Voice in AI and Automation with a following exceeding 1.5 million. His influence is rooted in two decades of experience spearheading AI initiatives at major firms like EY and McKinsey. Bornet’s primary contribution to the field is the conceptualization of "Agentic Intelligence," which he explores through his weekly LinkedIn newsletters, including "IRREPLACEABLE".   

Bornet’s work suggests that the evolution of AI search is not merely a technical hurdle but a leadership challenge. He argues that as search becomes "assistant-first," the role of content creators must shift toward building authority and trust that AI models can verify as reliable sources. The implications of his research indicate that brands failing to establish a human-centric, ethical AI strategy will struggle to maintain visibility as LLMs increasingly prioritize content that demonstrates genuine human expertise and accountability.   

Allie K. Miller and the Business ROI of Machine Learning

Allie K. Miller, the former Global Head of ML for Startups at AWS, represents the business-oriented vanguard of AI influence. With over 1.6 million followers, she specializes in demystifying complex technical concepts for investors and C-suite executives. Her content emphasizes efficiency gains, revenue growth, and the creation of competitive moats through AI implementation. Miller’s perspective is crucial for SEO professionals because she frames search visibility as a component of broader business intelligence and workforce readiness, rather than an isolated marketing tactic.   

The Educators: Andrew Ng and Zain Kahn

Educational democratization is a significant theme among top-tier influencers. Andrew Ng, a founder of DeepLearning.AI and Coursera, uses his platform to share tips on agentic workflows and the democratization of machine learning. His influence is particularly strong among product managers and engineers who are building the next generation of AI-driven search interfaces. Parallel to this, Zain Kahn, founder of the "Superhuman" newsletter, serves as a vital news hub, attending major conferences and interviewing AI entrepreneurs to provide real-time updates to his audience of nearly one million followers.   

Influencer

Primary Focus

Best For

Audience Size

Pascal Bornet

Agentic Intelligence & Leadership

C-Suite, Automation Leaders

1.5M+

Allie K. Miller

Business ROI & VC Strategy

Investors, Startups

1.6M+

Andrew Ng

ML Democratization & Agents

Engineers, Product Managers

1M+

Zain Kahn

AI News & Entrepreneurship

General Tech Professionals

1M+

Bernard Marr

Future Tech Trends & Healthcare

Healthcare, Manufacturing Leaders

1M+

Data-Driven Experimentalists and GEO Researchers

As traditional SEO metrics like backlinks and keyword density lose their predictive power in the age of generative search, a group of data-driven experimentalists has emerged. These practitioners conduct large-scale analyses of LLM behavior to identify the actual mechanisms of citation and retrieval.

Josh Blyskal and the 40 Million Prompt Study

Josh Blyskal, the AI Strategy Lead at Profound, is perhaps the most significant researcher in the current LinkedIn SEO landscape regarding the measurement of "unclickable" metrics. His research, presented at major forums like BrightonSEO, involves the analysis of over 41 million AI-generated answers across ChatGPT, Google, Perplexity, and Microsoft.   

Blyskal’s data indicates a fundamental shift: traditional SEO metrics often have minimal or even inverse relationships with AI search visibility. For instance, his study of Wikipedia citations revealed that ChatGPT’s reliance on Wikipedia accounted for 7.5% of all citations between late 2024 and early 2025, suggesting that "digital footprint" and reference site presence are now superior to traditional domain authority for AI visibility. His research also highlights extreme volatility in the AI space, with nearly 50% of domains cited by answer engines shifting in a single month.   

Malte Landwehr and the Citation Playbook

Malte Landwehr, CPO and CMO of Peec AI, focuses on the competitive landscape of LLM retrieval. His work, "The Citation Playbook," provides evidence-based insights into which sources are most frequently cited by AI search engines. Landwehr’s research demonstrates that AI platforms do not typically retrieve entire pages but rather "chunks" or passages.   

The implications of Landwehr’s work for practitioners are twofold. First, it necessitates a focus on "Source Wars"—identifying where LLMs pull information for specific topics, which often includes third-party platforms like G2, Reddit, and LinkedIn rather than corporate websites. Second, it emphasizes "chunk-level" optimization, where content must be structured into clear hierarchies with summaries at the top of sections to be easily extractable for AI synthesis.   

The SparkToro Perspective: Rand Fishkin and Patrick O'Donnell

Rand Fishkin, co-founder of SparkToro, remains a foundational voice in the transition to AI search. His research with Patrick O'Donnell explores the consistency and validity of AI tools as sources of truth for marketers. Their experiments found a high degree of "query fan-out," where AI tools asked the same question 100 times yielded the same list of brands in fewer than 1 in 100 responses. This suggests that "ranking" in the traditional sense is being replaced by "probability of inclusion," a shift that requires brands to invest in broad market awareness and diversified digital presence across multiple platforms.   

Technical Strategists and Automation Architects

The practical execution of AI SEO often falls to a group of technical strategists who specialize in programmatic SEO and automated content workflows. These influencers bridge the gap between AI theory and scalable marketing results.

Milosz Krasiński and AI Visibility Optimization

Milosz Krasiński, owner of Chilli Fruit Web Consulting, is a leading voice in the European SEO community. His work focuses on "AI visibility," specifically optimizing content for Large Language Model visibility and Google’s AI Overviews. Krasiński advocates for a hybrid approach that connects traditional link building with AI-powered content optimization for Fortune 500 and SaaS companies. His influence stems from his practical experiments in connecting AI tools with organic visibility frameworks that prioritize LLM interpretation.   

Katarina Dahlin and eCommerce Automation

Katarina Dahlin, a Senior Growth Hacker at Genero, specializes in AI-driven SEO and automation for eCommerce brands. She is known for building custom GPT workflows and scalable optimization systems that enhance brand visibility in AI-driven query results. Her focus is on the operationalization of AI, turning theoretical search shifts into custom-trained agents that manage meta-data, product descriptions, and technical audits at scale.   

Thomas Vavougios and Scalable SEO Frameworks

Thomas Vavougios is recognized for his leadership in the Greek and Cypriot SEO communities, focusing on cross-team integration and the construction of scalable SEO frameworks. His work emphasizes the human side of the AI transition, helping brands build adaptable teams and sustainable workflows that integrate AI tools into technical SEO and content creation.   

Expert

Brand

Primary Specialization

Key Framework/Metric

Milosz Krasiński

Chilli Fruit

AI Visibility & LLM Optimization

LLM Visibility Index

Katarina Dahlin

Genero

eCommerce AI Workflows

Custom GPT Pipelines

Thomas Vavougios

Gamdom

Scalable Frameworks

Cross-team Automation

Jason Brooks

UK Linkology

Link Intelligence Models

M-Flux Formula

Szymon Słowik

Takaoto

NLP & Entity Optimization

AI-mode SEO Research

Content Quality, E-E-A-T, and Algorithmic Guardians

As AI-generated content floods the internet, the role of influencers who champion content quality and search engine guidelines has become more critical. These individuals provide the "guardrails" for AI SEO strategy.

Lily Ray: The Authority on Search Quality

Lily Ray, Vice President of SEO Strategy at Amsive, is widely regarded as one of the most analytically rigorous voices on LinkedIn. Her influence is centered on her data-driven analysis of Google’s algorithm updates and search quality signals. Ray’s research into E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) is essential for AI SEO because it defines the criteria that AI models use to determine which content is reliable enough to cite. She is a frequent contributor to webinars and major conferences like MozCon and BrightonSEO, where she interprets how AI-generated content impacts site trust and search quality.   

Marie Haynes: Spam, Risk, and Algorithmic Integrity

Marie Haynes is a veteran SEO consultant who specializes in search quality, spam detection, and algorithmic risk. Her work provides a grounded, research-oriented perspective on how AI intersects with content evaluation. Haynes is particularly focused on the transition from traditional keyword research to agentic search queries, advising brands on how to build authority and trust with AI models. Her insights help practitioners navigate the tension between AI-enabled content velocity and the risk of algorithmic penalties for low-quality automated output.   

Barry Schwartz: The Industry Chronicler

Barry Schwartz, through Search Engine Land and RustyBrick, provides the factual documentation that underpins much of the LinkedIn SEO discussion. His influence lies in his consistent reporting on search engine changes, offering clarity on how AI-related updates from Google and other platforms impact practitioners in real-time. Schwartz’s work serves as the primary source of truth for the industry, filtering the noise of "AI hype" to focus on documented changes in SERP behavior.   

Answer Engine Optimization (AEO) and Writing for Machines

A significant sub-niche on LinkedIn involves experts who focus on the linguistics and structure of content for AI consumption. This "writing for machines" approach is often referred to as AEO or Retrieval Optimization.   

Charlie Marchant and the Practical AEO Roadmap

Charlie Marchant, CEO of Exposure Ninja, is a leading voice on AI citation building. Her research focuses on "Generative Answer Optimisation," which involves restructuring content to increase the likelihood of being picked up in AI-generated responses. Marchant emphasizes that AI search optimization is a blend of SEO, content marketing, digital PR, and CRO.   

Her frameworks suggest that the "old rules" of SEO no longer apply in an "assistant-first" environment. Practically, this means that every subheading should mirror a real user query, the first sentence of every section must provide a direct answer, and content must be structured to be "excerpt-ready" for RAG (Retrieval-Augmented Generation) systems. Her data indicates that listicles and comparison formats achieve significantly higher citation rates in AI Overviews compared to traditional narrative blogs.   

Michael King and Relevance Engineering

Michael King, founder of iPullRank, is a proponent of "Relevance Engineering". His technical expertise is particularly valuable for complex, JavaScript-heavy websites and enterprise-level strategies. King argues that brands must engineer relevance across passages and entities to be selected as "evidence" in AI responses. His approach combines technical SEO with emerging AI trends to ensure that content is not just crawlable but "understandable" by machine learning algorithms.   

Aleyda Solis and the Global AI Search Landscape

Aleyda Solis, founder of Orainti, is a prominent international SEO consultant and GEO thought leader. Her work focuses on integrating AI considerations into international and multilingual SEO, navigating the global search complexity across different markets. Solis is the author of the "SEOFOMO" newsletter, which serves as a central hub for over 35,000 subscribers seeking the latest in SEO and AI search news. Her research into how AI search differs from traditional search is vital for brands operating in global environments where AI capabilities and search engine market shares vary significantly.   

Programmatic SEO and Automation Systems

The scalability of AI SEO is made possible by programmatic systems that automate the generation and optimization of large volumes of content. Several LinkedIn influencers have built their authority on these advanced automation techniques.

Kevin Indig and Systems Thinking for Growth

Kevin Indig approaches AI SEO through systems and growth modeling. His "Growth Memo" newsletter reaches over 23,000 senior marketers and growth leaders, providing deep dives into how AI influences technical planning, content velocity, and team structures. Indig’s influence is centered on helping teams understand that "clicks are no longer the point"—the real shift is toward visibility and trust in an AI-dominated landscape where user behavior is fundamentally different. He advocates for long-term thinking rather than short-term AI fads, using data transparency to challenge common SEO narratives.   

David Quaid and Advanced Content Analytics

David Quaid, often referred to as the "King of SEO," is recognized for blending advanced content analytics with search optimization. He leverages AI to predict and amplify organic impact, empowering brands to excel in generative search environments like LLM SEO. Quaid’s expertise bridges the gap between technical SEO and data-driven solutions for SaaS and FinTech companies, focusing on how AI can be used to predict search trends before they manifest in traditional keyword tools.   

The Tooling Ecosystem for Programmatic SEO

The influence of these practitioners is supported by a robust ecosystem of programmatic SEO tools. LinkedIn influencers frequently share workflows involving these platforms to demonstrate how to scale AI visibility.

Tool Name

Core Functionality

Strategic Advantage

CapGo.AI

End-to-end Programmatic SEO & GEO

Dual-channel growth (SEO + AI recommendations).

Slate

Automated Content Refresh

Maintains long-term visibility in ChatGPT & Perplexity.

Byword.ai

AI-driven Content Generation

Scalable content production at $99/month.

Peec AI

AI Search Analytics

Tracks brand visibility and sentiment across LLMs.

Zapier

Workflow Automation

Integrates AI writers with CMS platforms for custom pipelines.

The Infrastructure of Influence: Newsletters and Podcasts

The dissemination of AI SEO knowledge on LinkedIn is heavily reliant on a specialized media infrastructure of newsletters and podcasts. These channels provide the deep-dive analysis required to understand rapidly evolving search technologies.

Essential Newsletters for AI SEO Practitioners

Newsletters serve as the primary source of curated information for the LinkedIn SEO community. Aleyda Solis’s "SEOFOMO" is cited as the highest quality newsletter in the sector, recognized by peers like Lily Ray for its meticulous selection of industry updates and resources. Similarly, Kevin Indig’s "Growth Memo" is lauded for its research-driven publication focused on organic growth strategy for senior marketers.   

Other significant newsletters include:

• AI Marketers (Aleyda Solis): Focuses specifically on the intersection of AI and digital marketing.   

• The Neuron: Provides daily AI news and tool recommendations.   

• Superhuman (Zain Kahn): Reaches over 500,000 daily readers with AI entrepreneur interviews and conference news.   

• AGENTIC INTELLIGENCE (Pascal Bornet): Dives into AI agent breakthroughs and business applications.   

The Podcast Circuit: Long-Form Strategy Discussions

Podcasts have become the venue for in-depth strategic debates between LinkedIn influencers. "SERPs Up," hosted by Mordy Oberstein and Crystal Carter, is a leading show for weekly SEO news and trend analysis. Aleyda Solis’s "Crawling Mondays" remains an "international SEO powerhouse," featuring expert panels that break down technical concepts like AI auditing and international search visibility.   

For professionals seeking a direct line to search engine developers, "Search Off the Record" by Google’s Search Relations team (including John Mueller and Martin Splitt) is a must-listen. This podcast provides an insider’s view on changes in rankings and website optimization from the search engine's perspective.   

Podcast

Hosts

Focus

Level

SERPs Up

Mordy Oberstein, Crystal Carter

Weekly News & Analysis

All Levels

Search Off the Record

Google Search Team

Internal Perspectives

All Levels

Crawling Mondays

Aleyda Solis

Technical & International

Intermediate-Advanced

Edge of the Web

Erin Sparks

Tech & AI Innovation

Advanced

Growth Memo

Kevin Indig

Strategy & Growth

Senior Marketing

Future-Looking Workflows and Emerging Trends

The collective insight from LinkedIn’s AI SEO influencers points toward several critical trends that will define the industry through 2026. These include the rise of agentic AI, the shifting importance of traditional ranking signals, and the monetization of AI search.

Agentic AI and the Shift to "Conversation Research"

As agentic AI—AI that can execute tasks rather than just provide information—becomes more prevalent, the focus of SEO is shifting from keyword research to "conversation research". Charlie Marchant and others argue that businesses must prepare for a future where users interact with search engines through multi-touch, conversational journeys rather than single-query searches. This requires content that doesn't just rank for a keyword but answers the entire intent behind a complex user journey.   

The Monetization of AI Search Results

Practitioners are already seeing the beginnings of monetized results within AI interfaces. Charlie Marchant predicts that AI visibility will eventually become a "pay-to-play" model. Brands that establish early organic authority and citation-worthiness will be better positioned as these platforms begin to integrate ads and sponsored recommendations into their generative answers.   

Reddit, Social Media, and UGC as Search Signals

One of the more surprising findings from recent research is the increased importance of social signals and user-generated content (UGC) in AI search results. Josh Blyskal’s analysis showed that commenting on Reddit threads can dramatically increase a company's visibility in Google’s AI results. This highlights a blurring of the boundaries between traditional SEO, social media, and digital PR. Influencers like Edward Sturm, a "viral engineer," leverage this by using growth hacks and short-form video to grant instant authority to brands within these new search ecosystems.   

Strategic Synthesis and Actionable Conclusions

The analysis of LinkedIn’s top AI SEO influencers reveals a professional landscape that is moving toward a more holistic, data-driven, and automated model of search visibility. For professional peers and organizations looking to navigate this shift, the following conclusions are supported by the collective research of the industry’s leaders:

• Prioritize Digital Footprint over Traditional Rank: The research of Josh Blyskal and Malte Landwehr confirms that visibility in AI engines is more closely linked to presence on authoritative third-party platforms (Wikipedia, Reddit, G2) than to traditional onsite SEO metrics. Brands must diversify their presence across the "cited sources" relevant to their industry.   

• Adopt "Chunk-Level" Content Architecture: LLMs synthesize fragments of information. Content must be designed for "Answer Synthesis," with clear H1/H2 hierarchies, summary paragraphs at the top of sections, and factual, declarative language.   

• Shift to Agentic SEO Frameworks: Influence in 2026 is defined by the ability to manage "Agentic Intelligence". This involves optimizing content for "assistant-first" environments where AI agents make decisions based on structured data and trust signals like UCP (Unified Commerce Protocols).   

• Integrate Automation with E-E-A-T: Scalability through programmatic SEO (using tools like CapGo.AI or Slate) must be balanced with the forensic quality standards championed by Lily Ray and Marie Haynes. Automation without authority is a high-risk strategy in an era where AI models are increasingly sensitive to algorithmic quality signals.   

• Engage in "Conversation Research": Traditional keyword research is insufficient. Practitioners must track "prompts that matter" using tools like Peec AI to understand how LLMs are framing their brand and their competitors in conversational contexts.   

In conclusion, the best LinkedIn influencers in AI SEO are those who move beyond opinion-based commentary to provide live tests, data-backed insights, and repeatable workflows. Whether through the strategic leadership of Pascal Bornet, the rigorous data analysis of Josh Blyskal, or the technical automation of Milosz Krasiński, these voices are collectively writing the playbook for the next era of digital search. Success in this new paradigm requires a departure from traditional SEO silos and an embrace of a unified growth marketing approach that prioritizes relevance, authority, and machine-readability across the entire digital ecosystem.