We measure the AI visibility of businesses across many industries, and the same mistakes keep showing up. The interesting part is that they are rarely due to laziness. Usually it is well intentioned work aimed at the wrong target, or things nobody thought about because nobody was measuring. Here are the five most common, in the order we usually find them.

1. You are blocking AI crawlers without knowing it

Many websites block GPTBot, ClaudeBot and other AI crawlers in robots.txt, often because someone once enabled a "protect content from AI" setting in their publishing tool. The consequence is that the platforms cannot fetch your pages when answering in real time, which means they cannot cite you either. Check your robots.txt today. It takes two minutes, and it is the fastest visibility fix there is.

2. Your content is about you, not the customer's question

Websites full of "we are proud of", "our vision" and "market leading solutions" give the models nothing to answer with. When the customer asks "what does X cost" or "how do I choose Y", the model cites pages that answer exactly that. Go through your most important pages and ask: Which customer question does this page answer? If you do not have a good answer, you have found your next content task. Our guide on AI friendly content shows how to turn it around.

3. Your company information contradicts itself across the web

Different descriptions of what you do on your website, LinkedIn and in directories. An old name in one place, the new one in another. Models trying to assemble a picture of you find conflicting facts, and uncertainty is punished with omission. Decide on one canonical description of the business and roll it out everywhere. Anchor it with Organization schema on your website, as shown in our guide on structured data.

4. You chase tricks instead of substance

Hidden text aimed at AI, artificial FAQ blocks with content nobody asks about, and "magic" files supposed to influence the models. We have seen most of it, and we have never seen it move a visibility score in a lasting way. At worst it undermines your credibility with search engines and models alike. Substance wins: Real answers, real expertise, real coverage.

5. You measure nothing

The biggest mistake is the invisible one: Most companies have no idea how often they are mentioned in AI answers, and are therefore flying blind. Without measurement you do not know whether your effort works, which topics you are losing, or that a competitor has systematically taken your place in the answers. Everything else on this list becomes visible the moment you start measuring. That is what visibility measurement is about, and it is the job Synlig.ai does for our customers every single day.

In short

Let the crawlers in, answer real questions, be consistent, drop the tricks and measure your progress. None of it requires a big budget. All five require someone to actually take ownership. If you want to know which of these mistakes apply to you, a visibility measurement is the natural place to start.