Daryo89 Ltd

24/09/2026

More and more people are asking their smart assistants for local recommendations, from tradespeople to care providers. It got us wondering: does anyone really know what these AI tools are saying about local businesses? We've been exploring this quietly for a while now, and it turns out there's quite a lot to learn. If you're curious about how AI sees your corner of the business world, we'd love to have a chat 🌱



https://daryo89.com/

23/09/2026

Checking whether one website shows up in AI answers is a bit like checking whether one shop appears on a map. Checking a whole market is more like checking every shop on every street, one by one, to see which ones the map forgets. That's the difference between scanning a single site and scanning for a whole industry at once: same idea, much bigger picture. We think that kind of view is going to matter more and more as people start asking AI assistants for recommendations instead of searching for them. 🗺️



https://daryo89.com/

22/09/2026

Ever wondered whether the AI assistants people now ask for recommendations would actually mention your website? It's a fair question, and one most of us have no way of answering. We've put together a free tool that lets anyone check this for their own site, just out of curiosity. No pressure, no sales pitch, just a straightforward look at something increasingly worth knowing. If you're curious what AI makes of your corner of the internet, it might be worth a look. 🔍

https://daryo89.com/

22/09/2026

New from the Daryo89 team: we went through the actual server logs behind llms.txt adoption, not the marketing claims. Most files get zero AI crawler traffic. Some organisations have accidentally published paths their own robots.txt was hiding. Adoption is exploding anyway — often because a platform switched it on by default, not because anyone checked what it says. Worth a read if your team has one of these files live: https://daryo89.com/?p=4823

https://daryo89.com/llms-txt-audit-adoption-compliance-governance-risk/

17/09/2026

Ever wondered what "white-label" actually means? It's simply when one business creates a report, a tool or a service, and lets another business put their own name on it before sharing it with their customers. So if an agency runs a check on their client's behalf, the client sees a clean, branded report from the agency they already trust, not from a company they've never heard of. It's a bit like a shop selling own-brand goods made by someone else, the quality is the same, but the presentation feels familiar. We think it's a neat way of getting useful information into more hands 🙂

https://daryo89.com/

16/09/2026

Did you know that checking what AI assistants say about local businesses takes rather a lot of asking? For our home care study, we put five buyer questions to four different assistants across ten areas, which comes to 20 answers per area, every single one written down. It is slow, careful work, but it is the only way to see a true picture rather than a lucky guess. We think that kind of patience matters when the answers affect real families making real choices. 📋



https://daryo89.com/

15/09/2026

Ever wondered if an AI assistant would actually recommend your favourite local shop or service? Here's a simple way to find out: open up any AI chat tool and ask it a real question, like "who's a good home care provider near me" or "best bakery in town" - something with a clear right answer. Then check the answer it gives against businesses you actually know are good. We've been doing exactly this, question by question, and comparing every answer against real local providers. It's a nice little experiment for a quiet afternoon, and you might be surprised by who gets mentioned and who doesn't 🔍



https://daryo89.com/

14/09/2026

Ever wonder why AI assistants seem to recommend the same handful of names? We've been looking into how this works in one everyday sector, and the pattern is striking: when we checked how often certain organisations came up, six large networks accounted for well over half of all the mentions, and one single directory turned up in nearly half of all the answers given. It's a useful reminder that AI tools often lean on whichever sources are easiest to find and best structured, not necessarily the best choice for every person searching. Good to know next time you ask an assistant for a recommendation. 🙂



https://daryo89.com/

11/09/2026

Here's a small thing we've been noticing: doing well on Google and being recommended by AI assistants are not the same thing at all. In a recent look at home care providers across ten local areas, out of 66 businesses checked, only 26 were ever mentioned by name when an AI assistant was asked a buyer's question. The other 40 never came up once. It's a good reminder that being easy to find and being the one an AI decides to suggest can be two very different stories. Have you ever asked an AI assistant to recommend a business you know well, just to see who it picks? 🤔

https://daryo89.com/

08/09/2026

Here's a question worth sitting with: can a website score brilliantly on Google yet stay invisible when someone asks an AI assistant for a recommendation instead? We've been looking into this across a group of home care providers, and the pattern is striking. Search engine scores were high across the board, but when the same providers were checked against AI-generated answers, the scores dropped a long way. It's a reminder that "found on Google" and "recommended by AI" are turning out to be two quite different things. 🤔

Odkazy

Find out whether ChatGPT, Gemini, Claude and Perplexity name your business when buyers ask. Free plugin, or we measure and fix it for you. Cambridge, UK.