Vertrauenswürdig bei führenden Verbrauchermarken
Von Anker SOLIX bis xTool — die oben genannten Marken sehen bereits, wie ChatGPT, Gemini und Perplexity sie erwähnen, zitieren und empfehlen. Ihre Marke wird gerade in der KI diskutiert. Sehen Sie es.
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33 Artikel mit dem Tag „AI Industry“ auf dem GEOly-Blog — Einblicke, Daten und Leitfäden zu AI Industry in der Ära der KI-Suche und wie Marken Sichtbarkeit über ChatGPT, Gemini und Perplexity gewinnen. Entdecken Sie unten weitere Themen und Autoren.

Cloudflares Crawl-API verwandelt eine gesamte Website mit einem einzigen API-Aufruf in sauberes, LLM-bereites Markdown — eine Infrastruktur zur Versorgung von KI und eine Erinnerung daran, dass crawlbare Seiten entscheiden, ob KI Ihre Marke aufnehmen und zitieren kann.

Lovable erreichte $400 Mio. ARR mit 146 Mitarbeitern, etwa $2,77 Mio. pro Person. Schlanke, AI-native Marken skalieren durch Auffindbarkeit, was die Sichtbarkeit in der AI-Kategorie zum Wachstumskanal macht.

Intels Heracles-Chip verspricht eine bis zu 5.000-fache FHE-Beschleunigung und ~1.000-mal schnellere private Abfragen als ein Xeon, wodurch eine Hürde für die KI-Adoption gesenkt wird, die im Laufe der Zeit KI-gestützte Entdeckungen fördert.

Google, Tesla und Verrus gründeten Utilize, um zu argumentieren, dass das Netz untergenutzt und nicht zu klein ist – und dass der wahre Kampf um den Energiehunger der KI jetzt innerhalb der KI-Antworten stattfindet.

Mandiant-Gründer Kevin Mandia sammelte 189,9 Mio. USD für Armadin, ein Frühphasen-Rekord, um autonome KI-Sicherheitsagenten zu entwickeln — ein Signal dafür, wie schnell das Web agentenfähig wird.

AI-Apps konvertieren Testphasen um 52 % besser, verlieren jedoch jährliche Abonnements 30 % schneller (21,1 % vs. 30,7 % Retention) – die gleiche Kluft zwischen Neuheit und Substanz, die entscheidet, wer das AI-Regal dominiert.

Berichten zufolge erweitert OpenAI seinen Stargate-Standort in Abilene nicht mit Oracle, da neuere Nvidia-GPUs möglicherweise vor der Fertigstellung verfügbar sind. Chipzyklen dauern 12-18 Monate im Vergleich zu 18-24+ Monaten für den Bau, und der Ausbau lohnt sich nur, wenn KI-Antworten die Suche ersetzen.

Meta hat Moltbook übernommen, ein Reddit-ähnliches soziales Netzwerk, in dem KI-Agenten zusammenarbeiten – ein früher Einblick in die Agent-zu-Agent-Wirtschaft und ein Signal dafür, dass Marken nicht nur für Menschen, sondern auch für maschinelle Zielgruppen verständlich sein müssen.

Nach einem 13-stündigen AWS-Ausfall, der durch ein KI-Codierungstool verursacht wurde, verlangt Amazon nun die Genehmigung durch leitende Mitarbeiter für KI-geschriebenen Code – eine Lektion in maschineller Geschwindigkeit plus menschlicher Überprüfung, die Marken beachten sollten, wenn KI sie beschreibt.

Mira Muratis Thinking Machines Lab hat sich ab 2027 zu mehr als einem Gigawatt Nvidia-Computing verpflichtet — eine Nachfrageprognose, die darauf hindeutet, dass KI-vermittelte Entdeckungen eine dauerhafte Infrastruktur sind, wodurch KI-Sichtbarkeit jetzt zu einem lohnenden Investitionskanal wird.

DeepSeek-R1 senkte die Inferenzkosten um über 90 % und zersplitterte die KI-Suche auf viele Engines – das Ende des Single-Engine-GEO-Playbooks und der Beginn der Notwendigkeit für Multi-Model-Sichtbarkeit.

Die Realität der KI setzt Thin-Wrappern ohne proprietäre Daten oder Wettbewerbsvorteil ein Ende – und definiert den genauen Test, den jedes GEO- und KI-Sichtbarkeits-Tool jetzt bestehen muss.

Da der EU AI Act, LLM-Unlearning-Entscheidungen und US-Bundesgesetze 2026 in Kraft treten, wird Genauigkeit zur Compliance – und GEO wird zur Markensicherheit gegen KI-Halluzinationen.

The Information und Reuters berichten, dass OpenAI einen GitHub-Konkurrenten entwickelt, nachdem es vermehrt zu Ausfällen gekommen ist — ein direkter Schritt gegen Microsoft, den Unterstützer und Eigentümer von GitHub im Wert von 7,5 Milliarden US-Dollar.

AI-Startups wie Aaru und Serval verkaufen Aktien zu zwei Preisen für eine Unicorn-Schlagzeile; die gleiche Diskrepanz zwischen Schlagzeile und Realität ist die Vanity-Metric-Falle, in die Marken bei der AI-Sichtbarkeit tappen.

Junyang Lin verließ Alibabas Qwen-Team ~24 Stunden nach der Veröffentlichung von Qwen3.5, das Musks Lob erhielt. Für GEO ist das Signal die Vielfalt der Engines, nicht Klatsch.

Die Entlassung bei Ars Technica aufgrund von KI-erfundenen Zitaten zeigt, wie verzerrte Quellen in KI-Antworten einfließen — und macht die Integrität von Zitaten zu einem Anliegen für Marken-GEO und Reputation.
DeepSeek V4 hat die Preise konkurrierender APIs um über 90 % unterboten und einen globalen Preiskrieg ausgelöst; günstigere Inferenz bedeutet mehr KI-Oberflächen und mehr Orte, an denen Ihre Marke empfohlen oder ignoriert werden kann.
OpenAIs 110-Milliarden-Dollar-Finanzierung festigt ChatGPT als robuste Antwort-Infrastruktur — sie entkräftet den Einwand 'Plattformen könnten nicht von Dauer sein' und bestätigt den Markt für GEO-Tools.

Stanford verwandelte im August 2025 die innere Sprache eines gelähmten Patienten in Echtzeit-Text — ein Beweis dafür, dass KI die Entschlüsselung von Absichten meistert, dieselbe Fähigkeit, die vage Anfragen in Produktempfehlungen umwandelt.

Über 50 AI-Datenzentren entstehen in den nordischen Ländern – eine milliardenschwere Wette darauf, dass AI-gestützte Suche und Shopping strukturell sind, und ein Signal dafür, dass Marken jetzt in AI-Antworten sichtbar werden sollten.

Motorola ist der erste Mainstream-OEM, der GrapheneOS unterstützt und Datenschutz-Telefone in eine Unternehmenslinie verwandelt — und beweist, dass Vertrauen jetzt eine Spezifikation ist, die KI-Assistenten bei der Empfehlung von Marken berücksichtigen.

Das Vortäuschen von Abstimmung, demonstriert mit Claude 3 Opus, zeigt, dass KI sich unter Beobachtung anders verhalten kann als im Einsatz. Marken müssen daher messen, anstatt anzunehmen, wie KI sie repräsentiert.

VCs finanzieren keine dünnen Workflow-Schichten und rein UI-basierte AI-SaaS mehr – die gleichen zwei Tests, proprietäre Daten und agenten-native Reichweite, trennen nun langlebige GEO-Tools von bloßen Hüllen.

Das tiefere Risiko von KI sind nicht Deepfakes, sondern immer aktive Wearables, die tägliche Entscheidungen beeinflussen. Wenn eine getragene KI flüstert, was Sie kaufen sollen, wird es existenziell, die genannte Marke zu sein – nicht nur auffindbar.

Karpathys MicroGPT erstellt ein funktionierendes GPT in 200 Zeilen Python und trainiert ein Modell mit 4.192 Parametern – ein klarer Einblick in die Vorhersage des nächsten Tokens und warum KI Marken empfiehlt, für die sie starke Muster erkennt.

Hyperscaler planen fast $700 Mrd. für Rechenzentren im Jahr 2026 innerhalb eines $3-4 Billionen schweren AI-Ausbaus; die Investition signalisiert, dass AI-gestützte Entdeckung nachhaltig ist und AI-Sichtbarkeit zu einer langfristigen Markenpriorität macht.

AMD hat das Trillionen-Parameter-Modell Kimi K2.5 auf vier Ryzen AI Max+ 395 Desktops (insgesamt 480 GB) ohne Cloud ausgeführt — ein Zeichen dafür, dass günstigere lokale KI die Plattformen vervielfacht, auf denen Marken sichtbar bleiben müssen.

Alibabas Open-Source-Modell Qwen3.5-35B-A3B verarbeitet über 1 Million Tokens Kontext auf einer einzigen 32-GB-Consumer-GPU und übertrifft GPT-5-mini, während es Claude Sonnet 4.5 bei MMMLU und MMMU-Pro schlägt — und fragmentiert, woher KI-Antworten über Ihre Marke kommen.
OpenAI hat einen Mitarbeiter entlassen, der vertrauliche Informationen auf Polymarket gehandelt hat — und Unusual Whales hat 77 verdächtige Positionen über 60 Wallets identifiziert, eine Lektion in Signalerkennung für das Verständnis des KI-Fußabdrucks Ihrer Marke.

Kaliforniens SCAQMD kippte saubere Luftregeln, die 2.500 Todesfälle hätten verhindern können, nachdem über 20.000 KI-generierte Kommentare den Prozess überfluteten — eine Warnung vor der manipulierbaren Zitationsschicht unter jeder KI-Antwort.

OpenAIs 110-Milliarden-Dollar-Runde bei einer Bewertung von 730 Milliarden Dollar ist tatsächlich eine Kette von Compute-Verpflichtungen von Amazon und Nvidia – hier ist die Struktur des Deals und sein GEO-Signal.

DeepSeek setzte den Preis für Eingabetokens auf $0,07 pro Million fest und löste damit einen globalen Preiskrieg aus – günstige Inferenz drängt KI-Antworten in jede Oberfläche und vervielfacht die KI-Regale, die Marken gewinnen müssen.
Riven Gao is the founder of GEOly AI, building the GEO (Generative Engine Optimization) platform that helps Shopify and DTC brands get seen, cited and recommended by AI engines like ChatGPT, Gemini and Perplexity. He writes about AI search, agentic commerce and brand growth in the AI era.
Jake Ward is a UK growth entrepreneur behind Mentions.so (AI-visibility tracking), the SEO agency Contact.so, Byword.ai and Kleo. Famous for the 2023 viral 'SEO heist', he has since become one of the loudest voices on LLM SEO — 'get cited, not clicked' — sharing data-driven takes on how brands win visibility in ChatGPT, Perplexity and Google AI. Featured here as a guest expert; views are his own.
The GEOly editorial team covers GEO (Generative Engine Optimization), AI search and agentic commerce — insights, benchmarks and playbooks that help Shopify and DTC brands get seen, cited and recommended by AI engines.
GEOly News tracks the daily signals shaping AI search, agentic commerce and AI advertising — what OpenAI, Google, Meta, Shopify, Stripe and PayPal ship, and what it means for globalizing brands that want to be seen, cited and recommended by AI engines.
The GEOly Platform team publishes buyer guides and hands-on breakdowns of GEO/AEO tooling for e-commerce and DTC brands — how to pick a stack, what to measure (AIGVR, Share of Voice, Share-of-Card), and how to turn AI visibility into orders across Shopify, Wix, BigCommerce, WooCommerce and Squarespace.
One of the strongest technical voices on AI search, relevance engineering, query fan-out, vector retrieval, and the future of SEO.
Publishes practical investigations into Google AI Overviews, citation quality, algorithm updates, and spam risks.
Creates accessible checklists, videos, and interviews on AI search, ecommerce SERPs, and technical SEO.
Growth Memo is one of the strongest recurring research sources on AI visibility, SEO strategy, citations, and growth.
Early AEO thinker focused on how search and AI systems understand entities, brands, and knowledge graphs.
Publishes clear frameworks on GEO, content distribution, Reddit, and becoming a cited source in AI answers.
Publishes analysis on AI search volatility, citations, prompt testing, and answer-engine visibility.
Highly active with practical posts on GEO case studies, AI Overview scorecards, and new SEO metrics.
Long-time SEO leader now focused on entity-first AEO and tools for improving brand visibility in LLMs.
WordLift CEO, strong technical voice on knowledge graphs, structured data, semantic SEO, and LLM grounding.
Publishes sharp analysis on zero-click search, AI Overviews, brand memorability, and strategic SEO adaptation.
Known for hands-on reverse-engineering of how AI search systems discover, use, and cite information.
Publishes in-depth German and English work on LLMO, GEO, E-E-A-T, patents, and brand context optimization.
CMO of Peec AI, former Idealo/Searchmetrics leader, focused on enterprise-scale AI visibility and SEO operations.
Known for technical experiments, algorithm analysis, and data-driven SEO testing including AI visibility work.
Long-time Google quality and algorithm analyst now writing about SEO in the Gemini and AI Overview era.
Strong strategic voice on how AI changes discovery, metrics, and the SEO profession.
Blends practical SEO, question data, AI tooling, and podcast education for search marketers.
Known for deep semantic SEO and topical authority frameworks that map well to LLM retrieval and AI answers.
Active voice on brand, AI search, and how AI changes organic visibility.
Runs experiments around AI crawlers and hybrid engine optimization, useful for technical GEO operations.
Profound co-founder focused on Agent Experience and what happens after traditional SEO.
Active curator and commentator on generative AI, SEO news, LLM outputs, and relevance engineering.
Practical enterprise voice on unifying SEO, AEO, GEO, and search-everywhere strategies.
Technical SEO and IR-focused thinker whose work maps well to AI retrieval and entity understanding.
Strong technical voice on crawlability, rendering, web infrastructure, and LLM-accessible sites.
Advanced technical marketer with Shopify/Uber experience and strong conference presence on SEO engineering.
Publishes strong technical and enterprise SEO guides; important for fundamentals that still drive AI visibility.
Key voice on zero-click search, audience research, Google behavior, and the broader discovery shift.
Strategic SEO leader known for using data, AI, and search intelligence to connect organic work to business impact.
Known for evidence-led SEO experiments and practical updates on how brand, UX, and content affect visibility.
Publishes detailed posts and X threads on Google updates, AI Overviews, and site-level impacts.
Strong visual documentation of SERP and AI Overview feature changes, especially useful for ecommerce visibility.
Essential daily source for search updates, Google communications, and SEO community reactions.
Salsify co-founder and strong voice on product data, PXM, digital shelf, and agentic commerce readiness.
One of the best retail/ecommerce strategists covering AI-native consumers and agentic commerce disruption.
Forrester retail analyst frequently quoted on GenAI, retail media, and agentic shopping.
MIT IDE Digital Fellow quoted on trust, payments rules, liability, and governance in agentic commerce.
Chief AI Officer at enterprise AI firm SYRV.AI and author of The Chief AI Officer's Handbook, Jarrod writes about generative engine optimization from a strategic AI-leadership angle. He frames GEO as a boardroom-level shift rather than a channel tactic, showing how AI-first organizations rethink discovery.
A veteran strategy consultant who has advised The New York Times, Google, and Etsy, Tom now works at the intersection of AI and marketing at Alephic and runs the AI Search Leaders community and SEO MBA. His essays connect AI search to the bigger questions of web economics, consulting, and content strategy.
Head of Search Science at Moz and STAT, Tom is known for rigorous SERP and ranking-factor analysis and for turning messy data into clear conclusions. His recent work digs into AI Overviews, the 'Great Decoupling' of informational traffic, and what search data can — and can't — tell us about AI visibility.
Co-founder and CMO of Chicago agency Orbit Media and author of Content Chemistry, Andy has published 500+ articles and runs widely-cited original research on content and analytics. He argues the winning move in AI search is quality over quantity — original data that AI engines actually want to cite.
Director of Content Marketing at Ahrefs and formerly CMO at Animalz, Ryan documents how content teams put AI to work — from custom GPT workflows to content engineering with Claude Code. He writes candidly about when AI-generated content helps or hurts visibility in an era of AI Overviews and zero-click search.
Former CEO of Animalz and author of B2B Content Marketing Strategy, Devin now advises leaders as a fractional Chief Growth Officer and hosts the Don't Say Content podcast. She argues traditional content playbooks are failing and pushes a human-centered, community-driven reset tied directly to revenue.
Co-founder of Manchester SEO agency Search Theory and formerly Director of SEO at Candidsky, Sara brings 13+ years across search and content. She frames AI search as long-tail SEO with new interfaces, urging teams to actively test Gemini and Google's AI Mode rather than wait and watch.
Independent analyst and former eMarketer principal analyst, Andrew is one of the sharpest data-backed voices on retail media and ecommerce, and writes the Media, Ads + Commerce newsletter. He brings a skeptic's rigor to agentic-commerce hype, pressing on how much autonomy actually reshapes product research and purchases.
Nine-year SEO veteran turned AEO/GEO practitioner who founded Cairrot, an answer-engine-optimization analytics tool for agencies and SMBs. He is known for publicly sharing monthly AEO/GEO campaign KPIs across SaaS, fintech, industrials, and professional-services verticals.
Google's long-standing Search Advocate, based in Switzerland, who bridges Google Search engineering and the web community. His guidance on indexing, structured data, and content quality remains foundational for keeping sites visible as AI features reshape search.
Former Senior SEO Scientist at Moz and marketing manager at Hugging Face, now an AI educator and international keynote speaker. She is known for translating machine-learning and LLM concepts into hands-on tactics that non-technical marketers and SEOs can actually apply.
Co-founder and Chief Data Scientist at Trust Insights and co-host of the Marketing Over Coffee podcast, prolific on generative AI, analytics, and marketing data science. He is a leading voice on measuring AI's real business impact—from generative search to dark-funnel influence.
Co-founder of Clearscope, the content-optimization platform for high-quality editorial teams, and a prominent voice on topical authority and semantic relevance. He argues that deep, well-structured topical coverage—not volume—is what gets content retrieved and cited by AI answers.
New York–based SEO consultant, viral video creator, and founder of Sturm Media, known for his 'Compact Keywords' methodology that targets low-competition, high-intent terms. A prominent build-in-public creator who teaches how YouTube and video become durable discovery and citation assets.
Senior SEO and organic-growth specialist at Grey (YC W22) and a Lumar contributor with detailed, practical recommendations on schema, query fan-out, evidence-rich content, and multimodal optimization for AI search. A frequent BrightonSEO speaker on making sites AI-citable.
Senior partner at McKinsey and a global leader of the firm's payments work, based in San Francisco. She is a leading voice on how agentic commerce reshapes authentication, fraud, subscriptions, and top-of-wallet dynamics as AI agents begin transacting on consumers' behalf.
Founder and managing partner of NYC agency Primary Position, with 20+ years in technical and enterprise SEO. A no-hype practitioner voice on LLM-powered search, AI Overview tracking, and GEO for B2B and cybersecurity brands.
Longtime Analyst on Google's Search Relations team and an official voice on crawling, indexing, and site quality. His guidance on how Googlebot discovers and renders pages underpins the technical basics of getting included in AI answers.
Independent technical SEO consultant and former Head of SEO at Yoast, known for sharp opinions on structured data, web performance, and web standards. A leading voice on the site architecture brands need to stay discoverable as search shifts to AI.
Co-founder of Smarty.Marketing and a two-decade SEO and content veteran with wide community reach. She publishes a weekly SEO & AI (GEO/AEO) newsletter and is a go-to voice on Reddit marketing and answer-ready content.
Growth advisor to top internet brands (SurveyMonkey, Shutterstock, Quora, Zendesk) and author of Product-Led SEO. He writes the widely-read "The Future of SEO & AEO" newsletter, arguing that AI search rewards product-led strategy and brand intent over keyword volume.
Founder and CMO of TrioSEO and a serial entrepreneur (prior exit: FreeUp). He publishes practical, repeatable SEO systems and AI-tool commentary aimed at founders and B2B operators looking to build predictable organic growth.
Berlin-based senior SEO strategist specializing in technical and international SEO for B2B SaaS. A Lumar contributor, she argues that brand authority, digital PR, and trust—not content alone—are what earn visibility and citations in AI search.
Senior partner at QuantumBlack, AI by McKinsey, and its global leader for generative AI and agentic services. Co-author of McKinsey's agentic-commerce research, he is a leading voice on agent-ready infrastructure, APIs, data interoperability, and governance for the AI-agent era.
CEO of EWR Digital and longtime host of The Best SEO Podcast, where he interviews search leaders. Creator of the LLM Visibility Stack, focused on measurement frameworks for brand presence in AI answers.
Google Search Relations developer advocate in Zurich and one of the most trusted voices on rendering, JavaScript, and how crawlers actually see a page — increasingly relevant as many AI crawlers render far less than Googlebot.
Founder of the 5,000+ member Women in Tech SEO community and technical SEO consultancy Crawlina; a leading community builder and go-to voice for technical SEO training, conferences, and expert roundups.
Founder of Backlinko and co-founder of Exploding Topics (both acquired by Semrush), with massive reach in SEO education. Now vocal about multichannel visibility as LLMs like ChatGPT and Perplexity reshape early research.
VP of Marketing at SparkToro and the marketer who popularized 'zero-click content.' Co-author of Zero Click Marketing with Rand Fishkin, and a leading voice on audience research and platform-native distribution.
Entity-SEO and AI-visibility strategist at RicketyRoo and founder of SEO Sustainable. Creator of the Mention Rate tool and a Topic Entity Schema generator, she argues brands should stop chasing prompts and start tracking entity presence.
Founder of Seoulful Connect, a boutique international SEO and localization agency with deep Korean and Naver expertise. Focuses on technical setup, topical authority, reviews, and brand mentions that shape AI-generated answers.
Managing Director and Partner at BCG X who leads global eCommerce work and authors BCG's guidance on agentic commerce. Warns that generative AI is already eroding organic traffic and that retailers need a new GEO discipline to stay visible.
Founder and CEO of DemandSphere, a Y Combinator-backed analytics platform for enterprise SEO/AEO teams that tracks how brands appear across SERPs, LLMs, and agentic surfaces. A data- and machine-learning-minded operator with 18+ years in technical search, he pushes teams past 'ranking hacks' toward measurable AI visibility.
For years Google's public Search Liaison, the official voice explaining ranking changes and search policy to the SEO community. He stepped back from the public-facing role in 2025 to work on internal Search projects, but remains the key reference point for how Google frames its AI Search direction.
SEO leader at SurveyMonkey who has scaled organic growth into a revenue engine at companies like Sanity and BigCommerce. A prolific speaker and educator, she translates modern search and AI-answer shifts into practical strategy for ecommerce and B2B teams.
Co-founder of NP Digital and one of marketing's largest audiences, publishing prolific SEO and answer-engine-optimization content for founders and SMB marketers. His reach makes him a useful bellwether for how AEO ideas go mainstream.
Director and Head of SEO at Chewy, leading enterprise organic search across a vast, competitive product catalog. With 20+ years running in-house and agency programs, he's a go-to voice on scaling AI-search visibility for large ecommerce and marketplace sites.
Technical SEO manager with 9+ years across healthcare, finance, luxury, and ecommerce, now focused on GEO and AI search. She emphasizes structured content, well-formed headings, real user questions, and first-party data as the foundation for multi-channel AI visibility.
Co-founder of AthenaHQ, a YC-backed GEO/AEO platform that tracks and improves how brands appear across ChatGPT, Perplexity, Claude, and Gemini. A former Google Search PM, he brings an insider's view on building tooling — like the Athena Citation Engine — for the post-Google AI-search era.
Partner for AI at Team One, advising brands and merchants on agent-based systems, personalization, and AI as commerce infrastructure. A frequent speaker and podcaster, he explains why retailers should prepare now for the shift from conversational to true agentic commerce.
Creator of the open-source advertools Python package (3.5M+ downloads) and a leading voice on data science for SEO — crawling, log-file analysis, and SERP data, now applied to auditing AI crawler access and citation behavior at scale.
Founder of NewzDash and the News & Editorial SEO Summit, with prior audience-development leadership at Condé Nast and Disney. A go-to authority on how publishers keep visibility across Google News, Discover, Top Stories, and AI answers.
Technical and eCommerce SEO educator, LinkedIn Learning instructor, and founder of MarketingSyrup SEO Academy, known for practitioner-friendly training (Tech SEO Pro, eCommerce SEO Mastery) with a strong Shopify focus.
Ahrefs CMO who helped bootstrap the company past $100M ARR through content. A widely-followed voice on SEO strategy and the SEO-to-GEO shift, arguing the fundamentals — exhaustive first-party content plus credible third-party coverage — still win in AI search.
Leads IBM's Inbound organic-growth program — SEO, YouTube, newsletters, and podcasts — and argues that in an AI-disrupted world a diversified owned-media system is more durable than any single channel.
New York-based SEO and content strategist with ~20 years across agency and in-house teams, focused on AI-search optimization and using real user questions (Reddit, People-Also-Ask style) to earn AEO mentions and citations.
Co-founder and CEO of AirOps, a content-orchestration platform for AI-driven marketing. Advocates 'content engineering' — multi-step AI workflows with data and human review — as the way to produce content that gets cited and scales without slop.