Attribute list
An attribute list sets out what you want AI platforms to say about your brand, with every item precise enough to check in an answer.
An attribute list sets out what you'd like AI platforms to say about your brand. Each item is specific enough that you can read an answer and tell whether it says it or not.
It turns a vague goal, like being seen as the best, into something you can check. Every piece of AI search work can then be judged against it: did the answers move closer to the list?
What a good list looks like
Good attributes are specific, true and testable. Compare:
- Vague: "Fernhill is a quality coffee brand"
- Specific: "Fernhill roasts to order and ships within 48 hours"
- Specific: "Fernhill offers a subscription for offices of 5 to 50 people"
- Specific: "Fernhill delivers across mainland UK"
The vague one can't be checked. The specific ones can. Either an answer says Fernhill ships within 48 hours, or it doesn't.
Keep the list short, around five to ten items. Pick the ones that win customers: the reasons people choose you, and the facts the platforms most often get wrong.
How to use it
Start by reading what the platforms say about you now. Some attributes on your list will already show up. Some won't. And some answers will say things you'd rather they didn't. The gap between today's answers and your list is your work.
Then check again regularly, because answers change. For example, if "delivers across mainland UK" started appearing in 20% of answers about Fernhill a month ago and 45% today, that work is paying off.
In AnswerOrbit
Two places fit an attribute list. In Claims, add the facts that must be true about you. Up to ten are checked at once, and we check every claim the answers make about you against them. In Perception, add the qualities you want to be known for, and we ask about them each week to see how strongly the platforms tie you to each one.