Examples | Finded

Illustrative example — not a customer

A small accounting practice

Professional services · four people

The question asked: “Which accountant near Utrecht helps freelancers with their VAT returns?”
What AI said: AI named three other practices and described one of them as specialised in freelancers. It did not mention this practice.
The gap found: The website lists its services in a single line and never says who they are for, so AI had nothing specific to say about it.
The change made: A page for freelancers that describes the service, who it suits, what it costs to get started and how to make contact.
How it is verified: The next measurement asks the same question again, on the same AI models, and records whether the practice is now named and how it is described.

Illustrative example — not a customer

Trades · service area of five towns

The question asked: “Who can fix a leaking boiler on a Sunday near Leiden?”
What AI said: AI recommended two companies whose websites state emergency availability and the towns they cover. It left this one out.
The gap found: Emergency availability and the service area only appear in a photo of a van, which AI cannot read.
The change made: Emergency availability and the towns served, written as plain text on the page and added as structured data.
How it is verified: The next measurement repeats the question and compares the answers with the baseline, model by model. If nothing moved, that is recorded too.

Illustrative example — not a customer

Software · small team, self-serve

The question asked: “What is a simple tool for sending invoices in several currencies?”
What AI said: AI described the product as a general finance tool and left it out of the comparison it gave.
The gap found: Pricing and integrations sit inside a widget that loads with a script, so the facts AI needs were not on the page it could read.
The change made: Pricing, supported currencies and integrations published as readable text, with one sentence stating who the product is for.
How it is verified: The next measurement asks the question in several phrasings and records which of them now name the product, and which still do not.

Illustrative example — not a customer

Restaurant · one location

The question asked: “Where can a group of eight eat vegetarian near the station?”
What AI said: AI named a competitor that lists group bookings and vegetarian dishes as text. It did not mention Aurora.
The gap found: Aurora publishes its menu as an image, so AI could not tell that it serves vegetarian dishes or takes group bookings.
The change made: The menu published as text with dietary labels, and a short section on group bookings.
How it is verified: The next measurement repeats the question and checks whether Aurora is named, and whether the description now matches what the menu says.