Selectability

Know your odds.

Your buyers’ questions, asked of five AI assistants, three times each, without your name in them. One score with its range, and the three gaps to fix first.

MovesKnownFoundAnsweredBelievedPreferredBoughtKept
Asked without your nameEvery score carries a rangeWho gets picked instead

From your questions to your first fix.

Example: Monday by Nine, the invented café bookkeeper from the book.

Honest enough to act on.

A range, not false precisionThe gold arc is your score. The faded arc is where it’s likely to sit, because AI answers vary.
The rivals who win insteadNamed in, recommended in, and where each wins, with your own row beside them.
A predicted lift for every fixRanked by expected gain. With Beta access, the same questions are asked again a quarter later, to check what really moved.

We scored ourselves first: 0 out of 100.

Named in none of the 30 questions our buyers ask. We publish our Selectability Score on the first Tuesday of every month, whether or not it improved.

Choose something else if

You only need mention counts across assistants. A visibility tool does that well, for less. Come back when you want to know why you aren’t picked.

Is the score free?

Yes, for any brand: your main buyer, scored at their moments, with the three gaps to fix first. In the beta, every buyer is scored, every quarter.

Why five assistants, three times each?

Answers vary from one asking to the next. Asking more than once is what lets the score carry an honest range.

Can I see the formula?

Yes. The formula, the weights and the rules are published on The Method, and in chapter 30 of the book.