ChatGPT

3 articles

Handdrawn editorial illustration on a cream background splitting two worlds: on the left, a stack of classic search result pages with a search bar and ten blue ranked links labelled SEO; on the right, an AI answer speech bubble with a small robot, lines of generated text, and three cited-source chips labelled AEO / GEO, the shift from ranking links to being cited inside the AI answer
AI SearchAEOGEO

AEO vs GEO vs SEO: The Difference, and Which One You Need in 2026

SEO ranks links in classic search. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) optimise to be cited inside the AI-generated answer in ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot. AEO and GEO are near-synonyms for the same goal; SEO is a separate, still-necessary discipline that feeds the retrieval pool. The practical answer in 2026 is that you do all three, but you measure AEO/GEO on citation share, not blue-link position, and the winning levers (off-site footprint, entity authority, content shape, freshness) sit mostly off your own site.

Marco Lobo
Marco Lobo·Jun 6, 2026·9 min read
Handdrawn editorial split-screen comparison: left card shows Claude (Anthropic wordmark + symbol legible) rendering an interactive curve and a clickable diagram inline in a chat bubble; right card shows ChatGPT (OpenAI wordmark + symbol legible) outputting a static bar chart with visible Python code beside an uploaded spreadsheet; a central balance/decision element between them; calm cream background, pen-and-watercolour style
AI ToolsClaude vs ChatGPTClaude

Claude vs ChatGPT for Charts, Diagrams & Visualizations: Which One Should You Use in 2026?

Upload a dataset and need a precise, downloadable chart with the code shown? That's ChatGPT. Want a visual you can poke at, iterate on in conversation, or ship as a shareable interactive tool? That's Claude. The full comparison — capabilities, plans, and where each one quietly loses.

Marco Lobo
Marco Lobo·May 23, 2026·11 min read
Handdrawn diagram of the STADLER ChatGPT adoption layer: STADLER wordmark above a 650-figure workforce, three workflow channels for drafting, translation, and 125+ custom GPTs, with OpenAI as the foundation layer
Thought LeadershipOpenAIChatGPT

What STADLER's ChatGPT Rollout Teaches About Industrial AI Adoption

OpenAI's STADLER customer story is one of the cleanest enterprise AI cases of 2026: a 650-person, 230-year-old industrial manufacturer reaching >85% daily active usage on a horizontal LLM. The interesting part is the operating layer underneath the numbers — and what it tells European mid-market boards about industrial AI adoption.

Marco Lobo
Marco Lobo·May 19, 2026·11 min read