ChatGPTOpenAIResources
AEO: how AI engines cite you.
Editorial hub on visibility in AI engines (AEO): one explainer per engine — how it indexes, evaluates and recommends your B2B brand in answers — plus the citable-content methodology and LLM traffic.
15 explainers
How AI models see your brand
One article per major LLM — how it indexes, evaluates and recommends your B2B brand.
ChatGPT
OpenAI
How ChatGPT remembers your brand: the anatomy of artificial memory
ChatGPT doesn't "know" brands — it builds semantic proximities from everything it has read about you.
8 min
Claude
Anthropic
How Claude evaluates your brand: Anthropic's model specifics
Claude is trained to be honest — inflated promotional tone works against you.
9 min
Gemini
Google Gemini: how Google's multimodal ecosystem indexes your brand
Gemini isn't just a chatbot — it's the brain wired to Knowledge Graph, Maps and the global web index.
8 min
Grok
xAI
How Grok perceives B2B brands: xAI's hybrid architecture
Grok integrates real-time data from the social ecosystem — brand perception is dynamic, not static.
8 min
Perplexity
Perplexity
Perplexity and the new visibility of brands in AI
Perplexity is an answer engine — visibility means being cited in the answer, not just ranking in Google.
5 min
DeepSeek
DeepSeek
DeepSeek: mathematical reasoning and B2B brand visibility
DeepSeek isn't a chatbot — it's a cold data engineer that rewards logical structure.
7 min
Kimi
Moonshot
Kimi and B2B brands: why long documents beat a perfect SEO site
Kimi processes massive contexts — a 100-page whitepaper can matter more than your homepage.
9 min
GLM
Zhipu
GLM (Zhipu AI): the institutional strategy for LLM traffic
GLM is the model of choice in Chinese enterprise contexts and institutional partnerships.
8 min
Qwen
Alibaba
How Qwen evaluates your brand: semantic depth and structural analysis
Qwen (Alibaba) analyzes brands in layers — identity, offer, proof, context.
9 min
Copilot
Microsoft
Copilot: how it understands brands and decides the shortlist
Copilot isn't just AI — it's a procurement filter built into Microsoft 365.
7 min
Copilot & Perplexity
Microsoft Copilot
Copilot semantic audit: your brand in the Microsoft ecosystem
A Copilot semantic audit isn't SEO — it's an X-ray of how Copilot recommends or excludes you.
Read article
Schema markup optimized for Copilot
Copilot reads schema.org like a contract — Organization, Service, FAQPage.
Read article
How to optimize structured data for Copilot
Structured data is Copilot's native language — well-crafted JSON-LD beats vague content.
Read article
Perplexity
The Mirror Paradox: why your B2B brand is invisible in 2026
Your B2B customers already use Perplexity — you're still optimizing only for Google.
Read article
Traditional search engines vs. Perplexity: two visibility models
Google delivers links — Perplexity delivers answers with citations. The strategies don't overlap.
Read article
Original studies
Our own research on real data: the same question, several AI models, measured and published with a replicable methodology.
The AI visibility of Romania's luxury jewelry
10 AI models, one question, 29 recommended brands. Agreement between models: 18%.
Read the studyThe AEO questions base
124 questions with short, direct answers — from LLM mechanics to budget, measurement and deliverables. Filterable by intent and audience.
Every question about optimizing for AI, in one place
12 categories, from fundamentals and how LLMs work to platforms, measurement, risks and strategy. Every answer is ready to be cited.
Open the questions baseWe monitor 10 AI engines
- ChatGPTOpenAI
ClaudeAnthropic
GeminiGoogle
GrokxAI
PerplexityPerplexity
DeepSeekDeepSeek
KimiMoonshot
GLMZhipu
QwenAlibaba
CopilotMicrosoft
LLM Traffic — measurable visibility in AI answers
Audit, schema.org, citable content and monitoring across ChatGPT, Claude, Gemini, Perplexity, Copilot and more.
Complete implementations for companies that want to appear in answers from generative engines.