How a machine chooses the brand it recommends
When somebody asks an assistant which brand to choose, they get one name, sometimes two. That choice is a decision, made from what the machine was able to find, understand and verify.
What has changed in the question
A search engine answers with a list and leaves the judgement to the person. An assistant makes the judgement itself, then announces it. A results page was a shelf; an assistant’s answer is a recommendation.
For a brand, everything therefore rides on that name, and the second page has disappeared.
What a machine can actually read of you
An assistant reads your site differently from a customer: it retrieves the text, the structure, and what other sources say about you. Three things decide what it takes away:
- Access. The assistants’ crawlers are separate from the search engines’ crawlers. A site can be perfectly indexed by Google and still be closed to ChatGPT, Perplexity or Claude, because their agents are blocked by a default setting inherited from a configuration.
- The text actually there. Whatever appears only after a script has run often escapes the machine. A page assembled by the browser can look empty to it.
- Structure. A title, a hierarchy, structured data saying what you are and where you operate. To be the answer to a question about a category, you first need a legible category.
Why it cites one brand rather than another
In our view three criteria weigh more than the rest, and all three are earned through work:
- Verifiability. A precise, checkable statement is worth more than a superlative. “Workshops here, this range, these retailers” gets quoted; “market leader” stays a dead letter.
- Corroboration. An assistant cross-checks. A brand present only on its own site is a weak candidate, however good that site may be. Being mentioned elsewhere counts as much as being well written at home.
- Specificity. Pages that answer a precise question are picked up more readily than pages that discuss a sector in general.
An assistant rewards what it can repeat with confidence.
People work the same way. When a buyer asks someone whose judgement they trust, they too get a name. And whoever names you is putting their own word on the line: they will say of you what they can defend. Give them something verifiable, and that is what they will repeat.
What wastes time
- Repeating keywords: the text is read by a language model, which understands meaning.
- Publishing a great deal for its own sake: one weak page dilutes the strong ones.
- Entrusting your visibility to a tool that promises a score: an assistant cites sources, and a score stays an internal number.
What we do
We open access to the agents that produce the citations, we write and structure what has to be legible to a machine, we make your claims verifiable. We then record what the assistants say about you and about your market. We observe, because an answer varies from one day to the next: each record contains the question asked, the date and the answer obtained, along with what is needed to repeat it. This site is built to the same rules: it is our first demonstration.