Understand AI. Decide where to use it.
Guides to help AI understand your brand and products, and help your team use AI at work. Browse by goal or start with the latest note. Find answers, examples and sources to assess your own case, with a clear distinction between evidence and interpretation.
16 articles available
[ latest article ]
[ chronological archive ]
[ 2026 ]
- [ Personal agents ]
Personal AI agents: why does brand and product visibility matter more?
Customers can delegate research and comparison to AI. Why understandable brands and products matter even before a website visit.
Reading: 9 min
- [ Emerging channel ]
ChatGPT Ads in Italy and Europe: how do you design a pilot worth funding?
ChatGPT Ads is available in Italy. See how the ads work, which limits to check and what an initial pilot must prove before further investment.
Reading: 8 min
- [ Framework ]
How long before data becomes risky for an AI agent?
An agent is only as reliable as the data it can read. Make freshness, ownership and information limits visible.
Reading: 9 min
- [ Field guide ]
What makes a product page readable by a shopping agent
Product pages must help AI systems distinguish variants, availability and evidence, not only persuade a person to buy.
Reading: 7 min
- [ Protocol ]
How to measure visibility inside a generative engine
Useful measurement starts with declared questions, a documented protocol, and dated observations. A score alone does not prove brand visibility.
Reading: 8 min
- [ Definition ]
GEO and AEO: differences and practical applications
GEO and AEO describe related but different surfaces. The distinction matters when the thing you need to observe changes.
Reading: 4 min
- [ Analysis ]
llms.txt: what it does, what it cannot promise and why I publish one
llms.txt may simplify access to selected content, but it does not guarantee indexing, understanding or citation by generative engines.
Reading: 4 min
- [ Protocol ]
How to verify an AI agent's output
Delegating a task does not mean accepting its output. A validator makes evidence, criteria and stopping conditions explicit.
Reading: 6 min
- [ Field guide ]
How to help AI recognise your brand correctly
A legible brand keeps its name, role, relationships and evidence consistent across its site, profiles and independent sources.
Reading: 8 min
- [ Field guide ]
Why many AI pilots never become operating processes
A pilot becomes a process when it has an owner, stable inputs, controls and a verifiable definition of completed work.
Reading: 5 min
[ 2025 ]
- [ Technical analysis ]
Why many AI crawlers cannot see your site
What AI crawlers can read when content and links depend on JavaScript, and which checks should come before intervention.
Reading: 8 min
- [ Framework ]
What you can actually delegate to an AI agent
Goals, permitted data, checks and stopping criteria: how to delegate a task without transferring responsibility to the agent.
Reading: 6 min
- [ Technical guide ]
Structured data and AI: what is documented and what is not
Structured data clarifies entities and relationships already present on a page. It cannot replace incomplete content or missing evidence.
Reading: 4 min
- [ Framework ]
Which business process should AI improve first?
Expected value, technical feasibility, available data and internal ownership: four criteria for choosing a first AI use case and stating the trade-offs.
Reading: 6 min
- [ Analysis ]
How AI search answers use and cite sources
AI answers combine retrieval, selection and generation. Understanding these stages prevents confusion between ranking, presence and citation.
Reading: 4 min
I publish when a source, method, or verifiable case adds something useful.
RSS feedHow to measure your brand's visibility in AI answers. Read the article
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