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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30 Artikel mit dem Tag „AI Shopping“ auf dem GEOly-Blog — Einblicke, Daten und Leitfäden zu AI Shopping in der Ära der KI-Suche und wie Marken Sichtbarkeit über ChatGPT, Gemini und Perplexity gewinnen. Entdecken Sie unten weitere Themen und Autoren.

OpenAIs GPT-5.6 und ChatGPT Work integrieren Agenten in reale Arbeitsabläufe, während Google beginnt, KI-erstellte Anzeigen zu kennzeichnen, was global agierende Marken dazu zwingt, Daten zu bereinigen und KI-Kreationen zu protokollieren.

OpenAI hat GPT-Live veröffentlicht, einen Full-Duplex-ChatGPT-Sprachmodus, der Websuche, Speicher und visuelle Widgets integriert und gesprochene Einkaufs- und Vergleichsfragen zu einem hochfrequenten Einstiegspunkt macht.

Ohne große Markteinführung in dieser Woche ist das beständige Signal, dass GEO von der Markenebene auf die SKU-Ebene wechselt, da Tools wie Lantern darauf abzielen, vorherzusagen, wie Produkte in KI-Antworten erscheinen.

Online-Shops gewinnen die KI-Suche, indem sie zu den Produkten werden, die von den Empfehlungsmaschinen vorgeschlagen werden — strukturierte Daten, semantische Beschreibungen, klare Bewertungssentiments und ACP-fähige Checkouts entscheiden darüber, ob ChatGPT und Perplexity Ihren Katalog oder den eines Konkurrenten nennen.

ChatGPT hat zwei Regale — ein kostenloses organisches, das die Giganten dominieren, und ein kostenpflichtiges, bei dem die Anzeigenrate 8–22 % erreicht. Zu wissen, auf welchem Regal eine Anfrage liegt, entscheidet, ob Sie GEO ausführen oder Anzeigenkarten kaufen sollten.

Ein ruhiger Nachrichtentag bestätigt dennoch den Wandel: Der Einstiegspunkt für Käufe verlagert sich von Suchfeldern zu Agenten wie ChatGPT, Gemini und Copilot, und Produktdaten stehen nun im Mittelpunkt.

Eine native Shopify-Integration bietet einem GEO-Tool 4 Dinge, die Außenstehende nicht erhalten können — Katalog-Synchronisierung, Schema-/llms.txt-Automatisierung, Kartenattribution und No-Code-Einrichtung — und ab Juli 2026 liefert nur GEOly alle vier als App-Store-App.

Drei Produkte qualifizieren sich 2026 als GEO-Plattformen für Shopify-Shops — GEOly, Profound und Scrunch AI — und vier Kriterien (Katalogzugang, Regalmetriken, Fan-Out, Anzeigenintelligenz) entscheiden, welche am besten zu Ihrem Shop passt.

88,8 % der ChatGPT-Shopping-Antworten enthalten Produktkarten und 38,2 % enthalten Anzeigen, daher muss das beste GEO-Tool für eine E-Commerce-Marke drei Oberflächen abdecken – und von sechs verglichenen Tools tut dies nur eines.

Für Einzelhandelsmarken muss GEO-Software zeigen, wohin die KI-Produktkarte leitet – selbst Sony behält nur 12,8 % der ChatGPT-Kartenziele in seinem eigenen Shop, der Rest geht an Best Buy, Target und Walmart.

Führen Sie fünf Überprüfungen durch – Erwähnungen, Produktkarten, Kartenweiterleitung, Stimmung und Anzeigen – um herauszufinden, ob KI-Assistenten Ihre Marke empfehlen: 88,8 % der ChatGPT-Shopping-Antworten enthalten bereits Produktkarten.

Generative Commerce ist Online-Shopping, das durch generative KI vermittelt wird — Käufer beschreiben in einfacher Sprache, was sie benötigen, und ein KI-Assistent entdeckt, vergleicht und kauft zunehmend das Produkt innerhalb der Konversation, wodurch die Kaufentscheidung von der Website des Einzelhändlers in die Antwort des Modells verlagert wird.

Agentischer Handel ist das Modell, bei dem KI-Agenten im Auftrag eines Nutzers recherchieren, vergleichen und Einkäufe abschließen — und mit ChatGPT Instant Checkout und Googles AP2 live benötigen Marken maschinenlesbare Kataloge, nicht nur ansprechendere Storefronts.

GEOly AI ist eine GEO-Datenplattform für DTC-Marken, die ganze Kategorien – Marken, Produktkarten, Anzeigen und Zitierquellen über 7 KI-Engines – in eine durchsuchbare Branchendatenbank verwandelt, mit einem agentennativen MCP-Server und CLI.

Von 7 verglichenen ChatGPT-SEO-Tools deckt nur GEOly alle drei Oberflächen des Jahres 2026 ab — Antworterwähnungen, ChatGPT-Shopping-Produktkarten und Anzeigenintelligenz bei 2.352 Werbetreibenden — während Profound, Peec AI und Otterly.AI das Feld der reinen Antworttools anführen.

88,8 % der ChatGPT-Antworten mit Kaufabsicht zeigen Produktkarten. Share of Card misst, wie viel von diesem KI-Regal Ihre Marke besitzt — Definition, US-Audio-Benchmarks und wie Sie es in ChatGPT und Google AI Mode verfolgen können.

Stripe bestätigte, dass deutsche Händler später in diesem Jahr über die Agentic Commerce Suite innerhalb von KI-Schnittstellen verkaufen können, da GEO-Tools auf produktspezifische Empfehlungsteilung umgestellt werden.

Ein groß angelegter Vergleich zwischen ChatGPT und Google AI Mode Shopping Cards, mit Fokus darauf, woher die Produktdaten stammen und was Händler tun sollten, um Produkte AI-lesbar zu machen.

Basierend auf 1,6 Millionen ChatGPT-Shopping-Karten und 3,07 Millionen Angeboten in den Karten erklärt dieser Bericht, wie AI-Empfehlungen Kauf-Traffic von markeneigenen Kanälen weglenken können und warum der GEO-Wert oft unterschätzt wird.

Eine GEOly-AI-Analyse der E-Bike-Kategorie in ChatGPT-Antworten, die die Nachfrage-Struktur, Marken-Sichtbarkeit, zitierte Quellen, AI-Einkaufswagen-Preise und den frühen GEM-Anzeigenwettbewerb abdeckt.

OpenAIs ACP-Erweiterung verwandelt ChatGPT in eine visuelle Shopping-Engine, und Shopify-Kataloge fließen bereits ein. Für DTC-Marken ist das Gewinnen der Produktkarte jetzt das Ziel.

Eine konkrete Einrichtung für AI-Shopping: Veröffentlichen Sie llms.txt, vervollständigen Sie das Produkt-/Angebots-/Rückgabe-/Bewertungsschema, überarbeiten Sie Beschreibungen mit semantischen Attributen, erlauben Sie AI-Crawlern den Zugriff und überwachen Sie den Share of Card.

Shopifys Renaissance-Update liefert das Universal Commerce Protocol und agentische Storefronts, um an KI-Agenten zu verkaufen — aber Schienen gewinnen nicht den Verkauf, saubere Produktdaten schon, und der Share of Card zeigt, ob Sie im Regal stehen.

Gewinnen Sie KI-Shopping-Shortlists: Geben Sie Assistenten einen Grund, Sie auszuwählen, stimmen Sie Texte mit der Bewertungssentiment ab, fügen Sie multimodale Signale hinzu, erlauben Sie OAI-SearchBot und überwachen Sie den Share of Card.

Perplexity Buy ermöglicht es US-Pro-Nutzern, mit einem Klick direkt in der Antwort einzukaufen, wodurch GEO von Sichtbarkeit zu direkten Verkäufen wird und Share of Card zur neuen Kennzahl macht.

Machen Sie Ihren Katalog KI-fähig im großen Maßstab: Maximieren Sie die Attributdichte, fügen Sie vollständige Produkt-/Angebots- und Produkt-Q&A-Schemata hinzu, halten Sie Feeds konsistent und verfolgen Sie den Share of Card pro SKU.

Da KI-Agenten lesen und einkaufen, verschiebt sich Ihre Wettbewerbseinheit vom Ranking zur Produktkarte – so gewinnen DTC-Marken das agentische Commerce-Regal.

Von OpenAIs Operator bis zu Claude Computer Use: Die Agenten des Jahres 2025 antworten nicht – sie handeln, indem sie für Nutzer surfen und einkaufen. Wenn eine Maschine einkauft, entscheidet die Sichtbarkeit der Marken-KI im KI-Regal über den Verkauf.

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.

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.
Leads commerce and retail-media research at the IAB (previously a decade at Forrester) and a prominent voice on the 'agentic shelf' — catalog enrichment, GEO inside LLMs, and why AI first helps shoppers narrow choices and reduce evaluation effort.
Longtime SEO and web-analytics consultant known for making dense data accessible through clean dashboards and visualizations. A go-to voice for turning analytics into decisions, now focused on AI, data engineering, and measuring what actually matters.
Former International Digital Director at Ringier and 2022 SEO World Champion, now an independent consultant and keynote speaker on AI-first search, entity optimization, and smart content distribution. Regularly frames how retrieval-based LLM search reshapes classic SEO across every discovery surface.