Tanguy De Keyzer

Tanguy De Keyzer is CGO & Founder at Tinrate.

8 News mentions

Overview

Tanguy operates in Flanders, building Tinrate as a product combining AI-powered search with geographic and marketing intelligence. He has a background spanning growth, marketing, and product strategy.

As CGO and founder of Tinrate, Tanguy leads commercial strategy and product direction, focused on the emerging field of generative engine optimization and AI-driven marketing tools.

Tanguy runs Customer Impact, a BeNeLux growth consultancy combining strategy, AI, and full-funnel execution for B2B SaaS companies. He is also co-author of "The End of Search" and "The AI Search Revolution," positioning him as a practitioner in generative engine optimization.

Career history

  1. Chief Growth OfficerJan 2026 - PresentTinrate
  2. Founder & Growth StrategistMar 2014 - PresentCustomer ImpactBeNeLux B2B SaaS growth consultancy
  3. Managing Partner & Growth MarketerJan 2014 - Mar 2020The Growth Agency
  4. Founder2014 - 2016Virtual Reality Belgium
  5. Information Technology Consultant2006 - 2013Projinit

Education

  1. AHMaster in Management and Marketing (Magna Cum Laude)2004 - 2006AP Hogeschool Antwerpen
  2. Multimedia & Communication Technology, Howest2001 - 2003

LinkedIn Voice

Posting style: Energetic, hustle-oriented. Mix of Dutch and English. Promotes Tinrate consistently. Creative angles including gaming and humor. Lower engagement but high output, near-daily posting. Key themes: Tinrate expert video consultation platform (2,500 experts in 10 weeks), AI in sales and lead generation, German market entry, gaming as founder networking, SuperNova 2026 coverage Avg engagement: 20 likes, 5 comments Notable post: Tinrate traction update, 38 likes -- "2500 experts in 10 weeks."

Insights & ideas

De Keyzer sees marketing caught between two separate but equally urgent shifts: the automation of repetitive work, and the fundamental rewiring of how people discover information.

On automation, he is pragmatic and specific about scope. AI should handle "all repetitive" tasks, data movement, report generation, competitor tracking, podcast repurposing [1], but only to free humans for strategy, creativity, and customer understanding [1]. He dismisses the either-or framing entirely. The constraint he identifies is not capability but role clarity: "The art sits in the division of labor, not in the choice" [4]. He sees AI winning on "speed and volume," humans winning on "experience, opinion, and original insights" [4]. He warns explicitly against treating content production as fully automatable; 70% of purchasing decisions rest on emotional factors, and AI-generated material at scale produces "generic text" that erodes this advantage [4].

The deeper shift concerns how visibility itself works. He argues that ranking in Google is becoming "pointless if AI doesn't know you" [8]. Search is fragmenting, ChatGPT, Claude, Gemini, and Perplexity each have different architectures, indexes, and selection behaviors [3], and no single optimization approach transfers across them [3]. The metric that matters is not clicks but citation frequency within AI knowledge networks [7]. Being "named" in an AI response, he argues, carries more weight than a top search ranking because it functions as repeated expert validation across thousands of daily conversations [8].

His answer to this reordering is what he calls "becoming source material." This requires, in sequence: making genuine value that deserves visibility, ensuring that value is structurally extractable by models, and building real authority through consistent quality [5]. He is direct about the prerequisite: "You cannot optimize an empty shell into a source" [5]. The competitive advantage belongs not to those who game the algorithm most cleverly but to those who become genuinely indispensable, a position he notes "takes competitors years to replicate" [5].

In the news

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