Data · survey run 28 October 2026 · 49 sites measured

AI readiness of building trades businesses in Berlin

The short answer

Of the 49 websites of building trades businesses in Berlin that we measured, 33 opened for an AI reader. Of those, 8 of 33 (24%) show prices as readable text, 1 of 33 (3%) show opening hours and 0 of 33 (0%) link to an online booking system.

Sample of 49 sites from OpenStreetMap entries with a website; not a random sample. Survey run 28 October 2026. How we measured.

The numbers

Counts and shares for building trades businesses in Berlin
Measure	Count	Share	95% range
Website opened for an AI readerof measured sites	33 of 49	67%	53–79%
Prices readable as textof sites that opened	8 of 33	24%	13–41%
Opening hours readableof sites that opened	1 of 33	3%	1–15%
Links to an online booking systemof sites that opened	0 of 33	0%	0–10%
robots.txt turns away AI assistants or AI searchof sites with a readable robots.txt	0 of 33	0%	0–10%
Open, readable prices and a booking system, not blocking assistantsof sites that opened	0 of 33	0%	0–10%
Published rules an agent can read (deposit, cancellation)of sites that opened	0 of 33	0%	0–10%
Has an llms.txt file (not a rule set)of sites that opened	5 of 33	15%	7–31%
robots.txt blocks AI training crawlers (a legitimate choice)of sites with a readable robots.txt	0 of 33	0%	0–10%

Shares are of the base named in each row. The 95% range reflects sampling noise inside this sample only; it cannot correct for businesses that are not in OpenStreetMap or have no website.

What this means for an owner

Between half and three quarters of the building trades businesses we tried in Berlin opened for our reader (33 of 49, 67%). The others may be out of date in the map data or may turn away automated visitors, so check that your own address opens cleanly over https.

A minority of sites show prices as text (8 of 33, 24%). Publishing yours puts you ahead of most of the sample.

None of the 33 readable sites links to an online booking system, so an assistant has no way to arrange a callout or quote request from a website alone. This measure does not count phone, email or contact forms.

Opening hours are rarely readable: only 1 of 33 (3%) state them in a form that code can read. Hours that exist only in a picture or in running text are invisible to a simple reader.

None of the 33 sites with a readable robots.txt turns away AI assistants or AI search, so in this cell the barrier is missing information, not a locked door.

Compared with building trades businesses in Hamburg, Berlin is behind on readable prices: 24% here against 29% there. A moderate gap on samples this size: indicative, not proof.

No site in this sample did all of it: opened, did not block assistants, showed prices and linked a booking system. An owner who does all four would be, in this sample, the first.

The three most common gaps

No online booking system linked (a quote form is not counted): 33 of 33 sites that opened (100%). An assistant that wants to arrange a callout or quote request finds no system it can reach from the website and falls back to "call them". Phone-only and email-only routes are not counted here.
Opening hours not readable: 32 of 33 sites that opened (97%). Without hours an assistant cannot say whether you are open on Saturday, and customers get an answer from a directory that may be out of date.
Prices not readable as text: 25 of 33 sites that opened (76%). The assistant cannot quote a price, so it either guesses or recommends a business that published one. Prices that only exist in a photo, a PDF or a page built by script are invisible to simple readers.

Fix it yourself: a checklist that needs no tools from us

Add a clear "request a callout" page: what you need to know (address, the problem, a photo), when you reply, and your callout fee. A form that emails you is a start.
State your opening hours as text on the site, and keep them identical to your Google Business Profile. If your website tool offers it, add them as structured data (schema.org openingHoursSpecification).
Publish a short price page as text: callout fee, hourly rate or typical job prices, and what is not included.
Open your own address in a private browser window and over a mobile connection. Fix certificate warnings, redirect loops and anything that makes the page slow. Ask your web host whether a firewall turns away unknown visitors.
Write your terms in two or three sentences as text: deposit if any, how much notice you need to cancel, and what happens if someone is late. None of the sites in the survey published a rule set an agent could read, so this is cheap to get ahead on.
An llms.txt file is optional and not a rule set. Add one only after the items above, and keep it short.
Ask an assistant about your business in the words a customer would use, write down what it gets wrong, and fix the first thing. Repeat monthly.

Read before quoting

Not a random sample: OpenStreetMap entries with a website tag over-represent businesses that have a website and that someone mapped. Real availability to assistants is likely worse.
"Readable" means readable by code that does not run a browser. A more capable agent may see more; these figures are a lower bound for that agent and a fair measure of a simple one.
"Did not open" is not "closed". We did not retry, on purpose.
One city, one snapshot, 49 sites. Do not generalise to a country.

Where snuepi comes in

Disclosure: snuepi is the author of this survey and of the free check. Read this section as an advertisement.

The free check runs the same reading on your own website, with no sign-up, and tells you what an assistant sees at your business. You can fix everything on the list above without us.

Check your own website

How to cite

snuepi (2026). AI readiness of building trades businesses in Berlin. Survey run 2026-10-28, 49 websites measured. https://snuepi.com/data/building-trades-berlin. Licence CC BY 4.0. Sampling frame: © OpenStreetMap contributors (ODbL).

Data: results.json · results.csv · all cities and trades.