PLEN

Book a free consultation

← Back to the blog

Dawid Walczyk

Co-Founder

Dawid Walczyk — Co-Founder of Vistrix, CEO of Trustluna (trustluna.com), an agency specializing in link building and content. He speaks at events for founders and experts. Instead of buying SaaS, he builds proprietary tools — from content pipelines to experiments with autonomous AI agents. No corporate fluff: just substance, technology, and results.

Find on: LinkedIn Facebook dawidwalczyk.com trustluna.com theorg.com

Articles by Dawid Walczyk

robots.txt file acting as a gate controlling AI crawler access to a website — some bots allowed through, others blocked

Guides Aug 13, 2026 · 11 min

robots.txt for AI Crawlers: GPTBot, OAI-SearchBot & More

Every AI provider sends multiple crawlers with different jobs: model training, AI search indexing, and on-demand page fetching. We break down what each robots.txt token does, what blocking it costs, and which rules to use for three strategies.

AI SEO: a list of search results transforming into an AI-generated answer with a highlighted source citation — hero illustration for an article on AI SEO and GEO

GEO Aug 6, 2026 · 9 min

What Is AI SEO and How It Differs From GEO

AI SEO, GEO, AEO, LLMO, AIO — five names, one discipline. We define AI SEO, explain why GEO is the canonical term, show how it differs from classic SEO, and break down the five work streams the practice covers, from AI crawler access to measuring AI share of voice.

Concept illustration: an AI answer panel with highlighted source citations connected to three layers of research on visibility in AI answers.

Research Jul 30, 2026 · 16 min

What Research Says About Visibility in AI Answers (2026 Overview)

Every major AI citations study in one place: the GEO paper (KDD 2024), the C-SEO Bench replication (NeurIPS 2025), and the large observational datasets from Ahrefs, Semrush, Profound, Muck Rack, Wix and Kevin Indig. Each finding sorted into proven, correlated, or a bet — with a study-by-study evidence table.

Concept illustration of preparing a website for generative engines: content fragments from a web page flow via arrows into an AI answer bubble

Guides Jul 23, 2026 · 16 min

Prepare Your Site for Generative Engines: AI Search Optimization

The full seven-step process to optimize a website for AI search — from a robots.txt and WAF audit for GPTBot, OAI-SearchBot, PerplexityBot, and ClaudeBot, through JavaScript rendering and answer-first structure, to Bing Webmaster Tools and citation monitoring. Built on official documentation and studies, not promises.

Abstract illustration of how a language model chooses the sources it cites: from a field of documents only selected pages flow into a neural network that produces an answer with citations

GEO Jul 16, 2026 · 9 min

How AI Chooses Sources: The Mechanics Behind ChatGPT Citations

Training vs grounding, the OAI-SearchBot and Bing indexes, ghost citations and unstable citation patterns. A data-backed breakdown of how ChatGPT, Gemini and Copilot pick the sources they cite, built on 2024–2026 studies and platform documentation.

Abstract illustration of Google AI Overviews: a glowing AI-generated summary above classic search results, linked to three source pages

GEO Jul 9, 2026 · 9 min

What Are Google AI Overviews and How Do They Work?

AI Overviews rewrite the rules of Google visibility: a top-10 ranking no longer guarantees clicks. We break down how Google generates its AI summaries, which searches trigger them, and what Pew, Ahrefs, and Semrush data say about the traffic impact.