Malte Landwehr Articles and Essays

Early life and education

Landwehr was born on 23 September 1986 and grew up in Lüneburg, then in West Germany.^[2][3] He has said he first noticed search engines as a teenager, when strangers found a personal website of his through Google. From 2003 he worked as a freelance search-engine optimizer and blogger, running sites that, by his account, drew millions of visits; one of the blogs ranked among the forty largest in Germany.^[1]

He studied computer science at the University of Münster (Westfälische Wilhelms-Universität) from 2007 to 2011, with work in information retrieval, machine learning, data visualization, web crawling, and graph centrality.^[1] In 2011 GRIN Verlag published his bachelor thesis, Graphzentralität in Autor-Zitate Netzwerken: Graphzentralitäten als Alternativen zu h-Index und PageRank bei der Bewertung von Wissenschaftlern, on graph-centrality measures in author-citation networks as alternatives to the h-index and PageRank.^[4] The book is in German. In 2012–13 he was a researcher in social network analysis and social media analytics at Münster, on projects funded by, among others, IBM, Microsoft, and the German Research Foundation; the work was intended to lead to a doctorate in information systems, which he did not complete.^[1]

Career

Early work

Between school and university Landwehr worked at the SEO agency Artaxo, where he started an SEO blog that won a "Best New SEO Blog" award from seoFM.^[1] From 2008 to 2010 he co-founded seoFactory and served as its head of SEO. After university he was a project manager and digital strategy consultant at kpunktnull in Düsseldorf (2014–15), working with clients in automotive, pharmaceutical, FMCG, and food.^[1][3]

Searchmetrics

From 2015 to 2020 Landwehr worked in product and marketing at Searchmetrics, a B2B SaaS firm selling enterprise SEO and content marketing software. He became Vice President of Product, managing a team of about a dozen people and sitting on the global leadership team.^[1] While there he wrote a run of articles for Econsultancy on Google's own properties, YouTube, and SEO rumours.^[8] He also advised Heartbeat Labs (2018–19) on search strategy for a tele-health startup.^[1]

idealo

In 2020 Landwehr joined idealo, a large European price-comparison company, as Head of SEO, owning SEO and content marketing for websites in several countries. In 2024 he was promoted to Vice President of SEO and joined the executive team, leading a unit of four teams and more than thirty people.^[1] His public resume credits the team with large gains in organic traffic, backlinks, and Google Discover, and with shrinking a long SEO-visibility gap versus eBay in Germany.^[1]

Peec AI

In 2025 he left idealo to become Chief Product Officer and Chief Marketing Officer of Peec AI, which sells analytics for brand visibility in LLM-based search and answer engines.^[1][14] His writing from this period, including two articles in Search Engine Journal, is written from that product vantage: GEO as a campaign discipline, and prompt wording as an empirical question.^[11][12]

Writing

Landwehr has written for trade sites, his own domain, LinkedIn, and specialist Reddit communities. His personal catalogue splits the work into essays (Aufsätze) and articles.^[5] The items in that catalogue, together with later articles for Search Engine Journal, are the works discussed here.

Essays

In January 2024 Landwehr published two essays that mark a turn from classical SEO commentary toward generative search. Everything we know about Google SGE collected public facts about Google's then-experimental Search Generative Experience.^[5] The longer companion, The Ultimate Guide to LLMO, GEO & AIO, posted on LinkedIn on 21 January 2024, argued that the three acronyms name one practice: changing what LLM systems say, the way SEO changes what search engines rank. He wrote that he had spent more than fifty hours reading papers and posts for the guide, and that a survey of readers had preferred the term LLMO.^[6]

The LinkedIn essay is practical and slightly adversarial. Landwehr describes how co-occurrence in training data can bind a brand to a phrase, and how retrieval systems can be fed quotable, well-ranked pages. He also warns that gaming Wikipedia or Reddit for model influence would damage the industry's reputation — a caution he repeated in the Advanced Web Ranking essay later that year.^[6][7]

Refinement Chips in Google Search (April 2024) looked at Google's chip UI for narrowing queries.^[5] In July 2024 Advanced Web Ranking published How to Optimize for LLMs and Get Cited in AI Outputs (catalogued on his site as "Optimize for LLMs & Generative AI Outputs"). That essay distinguishes foundation models, trained on crawls such as Common Crawl, from retrieval-augmented generation used in products such as Google AI Overviews. Landwehr defines generative AI optimization as "the art of manipulating and influencing the output of LLM-based systems," then spends most of the piece on crawlability, lightweight HTML, and citable structure rather than on prompt tricks.^[7]

Articles

Landwehr's trade articles begin in 2019 at Econsultancy, while he was Vice President of Product at Searchmetrics. From Direct Answers to Video Carousels: How Google keeps searchers within its own universe described Google's move from ten blue links toward on-SERP answers.^[8] How YouTube dominates search and how you can optimize your videos to take advantage treated YouTube as the web's second-largest search engine and offered video-SEO advice.^[8]

In 2020 he published two fact-checking articles that take rumours one by one. Fact-checking five rumours about the way search is changing (17 March 2020) reviewed claims about mobile, exact-match keywords, entity indexing, site speed, and voice search, and judged several of them overstated.^[9] A sequel, Fact-checking six more rumours about how search is changing, continued the same method.^[8]

He has also posted English technical articles on Reddit, which his own site lists alongside magazine work: Common AWS migration mistakes (r/aws, 2020), EEAT — The complete list of factors (r/bigseo, 2022), and Learnings from analyzing 1800+ leaked Yandex ranking factors (r/TechSEO, 2023).^[5][15]

After joining Peec AI he wrote for Search Engine Journal. How To Win In Generative Engine Optimization (GEO) (30 July 2025) argues that first-hand experience is what language models are incentivized to cite, because they cannot have it themselves, and that GEO work should target retrieval rather than inaccessible training runs.^[11] What Matters In An AI Prompt? Intent or Keywords? (15 June 2026) reports a Peec AI study of 37,804 responses across five engines. The finding, as Landwehr summarized it, is that wording matters less than intent: brand mentions stay stable when the core intention is the same, though prompt style (for example asking for a list) can still move visibility.^[12]

Selected works

Views

Across the essays Landwehr treats LLM search as a citation contest, not a keyword contest. In the 2025 GEO article he wrote that "LLMs cannot have first-hand experience. But users want it. LLMs are incentivized to reference sources that provide first-hand experience."^[11][2] The 2024 LLMO guide is more mechanical: influence the training mix where possible, and the retrieved passages where not.^[6]

He has been a public advocate of AI-mediated search. Wikiquote records him saying, in 2025, that using conventional search engines instead of LLMs is "honestly crazy," and that "GEO will be bigger than SEO."^[2] In the same period he argued that websites should not treat AI agents as second-class visitors. Futurism has called him an "AI defender."^[1]

Notes

Landwehr's own site lists further Reddit posts, including a 2022 note on Shreyas Doshi's product-management course, which is omitted here as a course review rather than a standalone article. The Econsultancy series "A day in the life of… VP Product at Searchmetrics" (2019) is an interview with Landwehr, not an article by him, and is likewise omitted.^[5]

References

External links

• Official site
• Search Engine Journal author page
• Econsultancy author page
• Wikiquote