Your Selectability Score · Example report

A real report, for an invented café.

This is the report every brand gets, free, run on Monday by Nine, the café bookkeeper invented for the book. Every figure comes from that worked example, not from a client.

9out of 100
Rarely selected

AI names you. It rarely picks you.

Likely 5 to 14. Named in about 1 answer in 4, recommended in 1 in 30.

Scored for the main buyer, a café owner with 2–10 staff, across 5 moments, 32 questions and 480 answers from five AI assistants, three times each.

Rarely 0–24Sometimes 25–49Often 50–74Usually 75+

Asked without your name.

The main buyer’s questions, put to five AI assistants, three times each. A question that names the brand never counts towards being found: a buyer who already names you has found you. It only tests whether you’re believed.

32questions
480answers read
5moments
Learning

“What reports should a café owner get from their bookkeeper?”

Named you
Comparing

“Best bookkeeper for cafés in Brisbane that reports wages weekly”

Named others
Buying

“Can a bookkeeper send me wage cost against takings every Monday?”

Recommended you
Deciding

“Are hospitality-specialist bookkeepers worth paying more for?”

Named others

Who gets picked instead.

Every rival named in the answers, how often each is named and recommended, and the moment where each one wins.

BrandNamed inRecommended inWhere it wins
Brewbooks62%31%Comparing · Buying
Countertop Books45%18%Learning · Deciding
Grindstone Accounting38%9%Noticing
Monday by Nine (you)23%3%Comparing, borrowed

Invented rivals, for the worked example.

Where you lose them.

Seven stages, scored where they can be. Known and Kept aren’t in the free read, and the report says so rather than guessing.

GateKnownNot in the free read
GateFound23
20% of qualityAnswered34
35% of qualityBelieved33
30% of qualityPreferred18
15% of qualityBought50
AgainKeptNot in the free read

The café owner’s five moments

NoticingEmptyNo answer anywhere
LearningHiddenYour page answers it; AI doesn’t use it
ComparingBorrowedNamed on a review; your page doesn’t answer
DecidingEmptyNo answer anywhere
BuyingHiddenYour pricing page isn’t picked up

Your three biggest gaps.

Ranked by how much each should lift the score, each with a predicted range. What to do about them is yours to keep, free. With Beta access, the same questions are asked again a quarter later, to check what really moved.

1
Found · the gate · Comparing · 8 questions

AI rarely names you when owners compare bookkeepers

Named in 50 of 120 comparing answers. Brewbooks was named in 89.

+4 to +9points, predicted
2
Believed · every moment

Your claims rest on one review, and no assistant repeats them

Of your 3 claims, 1 has one outside source and 2 have none. “Set up in a week” appears nowhere but your pricing page.

+3 to +7points, predicted
3
Preferred · comparing and deciding

When you’re named, Brewbooks is usually the one recommended

The reason AI gives for them: “specialises in hospitality”. Your reason, the Monday number, was given in 5 of 480 answers.

+2 to +5points, predicted

Every number, explained

Chapter 30: The Selectability Score

The formula, the weights and the range, in full. Free, here.

Read chapter 30 →

Customer Zero

0/100

Our own score at baseline, on the same method. Each dot is one of the 30 questions our buyers ask.

See our numbers →

Now get yours.

Same questions method, your buyer, your rivals, your three gaps. Free, no login, and the report arrives by email.