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Analysis, guides and data on how brands earn visibility in AI answers. No fluff.
Guides Aug 17, 2026 · 11 min read

How to Write Content AI Can Cite: BLUF and Quotable Sentences

A writing workshop for AI search: BLUF from the US Air Force handbook, the lift-out test for quotable sentences, before/after rewrites, intent-format match for lists and tables, and a 7-point publishing checklist — built on 2024–2026 citation studies.
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Hero illustration for an article on writing content AI can cite: the first sentence of a document highlighted in yellow, lifted by a quotation mark into an AI answer window — a metaphor for BLUF and quotable sentences.
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.
Minimalist illustration of an llms.txt file: a Markdown document connected to AI system nodes, with most connections left unused.
Guides Aug 10, 2026 · 10 min

llms.txt: How to Implement It and What (Not) to Expect

A step-by-step llms.txt implementation guide with syntax examples — plus the honest part: 97% of published files get zero requests, and no major LLM provider officially reads them.
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.
Abstract flat vector illustration representing AI search in numbers: a magnifying glass merged with an AI answer bubble alongside rising data bars and citation nodes on a dark background with yellow and coral accents.
Data Aug 3, 2026 · 14 min

AI Search in Numbers: The Benchmarks You Need to Know

A living benchmark of AI search statistics: engine adoption, AI Overviews frequency, CTR impact, and ChatGPT referral traffic — every number with a source and measurement date, reviewed quarterly.
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.
Abstract illustration showing schema.org structured data feeding page context into an AI engine, while a magic shortcut to AI visibility ends in a broken line
Guides Jul 27, 2026 · 10 min

Structured Data and AI Search: What Schema Really Does (and Doesn’t)

Google says no special schema is needed for AI Overviews, FAQ rich results are fully deprecated as of May 2026, and the only large causal test found no citation uplift from adding JSON-LD. Here is what structured data actually does for AI search — and what agencies should stop promising.
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 the Princeton GEO paper and its replication: a yellow rising arrow over a stack of research papers versus a crumbling coral arrow examined with a magnifying glass
Research Jul 20, 2026 · 9 min

The Princeton GEO Paper: What It Showed and What Didn’t Replicate

The GEO paper's 'up to 40%' is the most quoted number in generative engine optimization research — and the least understood. We walk through Aggarwal et al. (KDD 2024) tactic by tactic, with exact figures, then through C-SEO Bench (NeurIPS 2025), the independent replication that confirmed almost none of it.
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 a website readiness checklist for generative engines — a browser window with checked items connected to an AI answer bubble
Guides Jul 13, 2026 · 11 min

AI Search Readiness: A 12-Point Checklist for Your Website

12 checks that decide whether generative engines can cite your website — from robots.txt and JavaScript rendering to dates, authors, and structured data. Each check: what to test today and how to fix it.
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.
Abstract illustration of the Generative Engine Optimization (GEO) concept: content fragments from three web pages flow through a yellow funnel into an AI answer bubble with marked citations.
GEO Jul 6, 2026 · 16 min

Generative Engine Optimization (GEO): The Complete Guide

The complete guide to GEO: the definition from the KDD 2024 paper, how generative engines pick their sources, what changes versus SEO, a six-step implementation process, measurement with three separate KPIs, and five myths dismantled with primary data.
GEO vs SEO — od listy niebieskich linków do jednej odpowiedzi AI
GEO Jul 2, 2026 · 2 min

GEO vs SEO: what changes when the search engine becomes a language model

Two disciplines, one goal — and completely different rules. Where SEO ends and GEO begins.

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