mystreetwıse
Menu
NL Free scan

White paper

The AI Cognitive Audit

An AI assistant goes through three steps before it recommends a business. It has to know it, understand it and prefer it over the rest. Once you know at which layer a client drops out, you know where the work is.

  1. Layer 1

    Recognition

    Does AI know you exist?

    The first question is the simplest. Does an AI assistant name the business when you ask about it directly? An assistant that does not know the name cannot recommend it either.

    Recognition comes from sources that mention the name, the town and the trade together: the Google Business Profile, the business's own website, trade sites and review platforms. The more often those three appear in the same sentence, the stronger the link.

    Your client

  2. Layer 2

    Understanding

    Does AI describe you correctly?

    Being known is not enough. The assistant also needs to know what the business does, for whom, where and when. A hairdresser described as a barber, or a salon that the answer says is closed on Mondays when it is open, loses the customer before they call.

    Understanding usually fails on conflicting sources. If three places list three different opening hours, the assistant picks one. Check what each AI platform says about services, opening hours and address, and compare that with reality.

    Google ProfileMon: Closed WebsiteMon: Open AI answerMon: Closed

  3. Layer 3

    Recommendation

    Does AI recommend you?

    This is the layer that brings in revenue. When someone asks "which hairdresser in Utrecht is good with curly hair", the assistant names a handful of businesses. If your client is not among them, they do not exist for that customer.

    Recommendation takes more than correct details. The assistant picks businesses that independent sources mention positively and specifically: local round-ups, blogs, reviews that describe a treatment or an atmosphere. Because the answer varies each time, you measure this layer by asking the same question many times and counting.

    Here are 3 hairdressers in Utrecht... 123 Salon A Salon B Salon CYOUR CLIENT

Why first place on Google Maps does not guarantee layer 3

Google Maps ranks by relevance, distance and prominence. A strong Business Profile and plenty of reviews close to the searcher earn a high position. That is a ranking of listings on a map.

An AI assistant does not make a ranking; it writes an answer. It reads text, often through web search, and summarises what sources say about the topic. Distance to the person asking barely counts; what counts is whether the business appears in that text, and how.

So a business can top Maps across the whole neighbourhood and still be missing from the AI answer, because no round-up or blog mentions it. Conversely, a competitor in eighth place on Maps can be recommended. A good Business Profile helps with layers 1 and 2; layer 3 requires a presence in the sources AI reads.