Most websites never tell a machine what they are
A website can be well designed, fast and full of good writing, and still fail to state the
one thing a machine needs: what the organisation actually is. That statement lives in
structured data — a block of JSON-LD in the page source declaring the entity type, the
address, the opening hours, the services, the questions the page answers.
We audited three Portuguese websites side by side in 2026: a national hotel chain, one of
the country's largest radio stations, and a two-person consultancy. None of the three
blocked AI crawlers. None of the first two declared what they were — the hotel chain had
no Hotel or LodgingBusiness markup, and the radio station had no
RadioStation or BroadcastService. Both shipped the default graph
their CMS plugin generated, which described them as generic organisations with a contact
form.
This is the pattern we keep finding. Plumbing gets attention because it breaks visibly and
because the CMS handles much of it. The semantic layer — the part that says what the
entity is — gets skipped, and it is both the cheapest to fix and the one that
weighs most for answer engines and for models learning about entities.
Search engines rank pages; answer engines quote passages
Classic SEO optimises for a position in a list of blue links. Answer engine optimisation
optimises for being the passage a system quotes when it composes an answer. The two share
their technical foundations — crawlable HTML, correct canonicals, valid structured data —
but they reward different writing.
A passage that gets quoted is self-contained. It states its fact in the first sentence,
does not depend on the paragraph above it, and does not resolve pronouns against something
three sections earlier. Writing that way costs nothing and helps human readers too, since
most of them are skimming rather than reading in order.
There is a deflationary point worth making here. Much of what is sold as AEO or GEO is
technical SEO under a newer name. The most common problem we find — a canonical pointing
at a page that returns 404 — is a classic error from 2010. What changed is not the
fundamentals but the number of things reading them: a search crawler, half a dozen AI lab
crawlers, and agents fetching pages in real time on a user's behalf.
Digital transformation is a sequence of processes, not a platform
For a small or mid-sized company, digital transformation is not something you buy. It is
changing how one process runs, then the next. Which information gets recorded, which gets
re-typed by a person moving between two systems, which decisions wait on someone opening a
spreadsheet. The website is usually where the change becomes visible to customers, but the
work sits behind it.
We scope digital transformation one process at a time, with a defined outcome for each.
Programmes that set out to change everything simultaneously are the ones that stall,
because they cannot show a result before the budget or the patience runs out. A first
process that visibly works changes what the next decision should be — and that is worth
more than a roadmap.
Where AI helps, it is usually in the seams: reading a document so a person does not have
to re-type it, drafting a reply that a person approves, checking one system against
another. Where it does not help, we say so, because an AI project attached to a process
that nobody has mapped is a demonstration, not a change.