Measurement focus
I track how answer systems thin specialist firms into broader service categories. The work looks at category fit, proof language, and the quiet substitutions that make a high-ticket expert sound like a cheaper generalist.
Answer Measurement
AI visibility is measured in patterns, not impressions.
A single AI answer can flatter a firm and still misclassify it. I measure how answer systems describe, compare, omit, and substitute independent consultants and small professional-service firms across repeated prompts. The work begins with evidence: what the systems say, where the phrasing drifts, which competitors appear beside you, and whether buying intent survives the compression.
Latest ledger marks — from the ledger
When Local Context Changes the Answer
May 27
The Evidence Line That Changes the Answer
May 06
The Bio Detail That Becomes Entity Proof
Mar 31
The Missing Problem Behind a Named Service
Mar 17
who writes this
Devon Calder
I am Devon Calder, based in Halifax. I measure how answer systems describe, compare, omit, and substitute solo experts and small professional-service firms across repeated prompts, then keep a hand-built ledger of the patterns. The work is measurement before persuasion: see what the systems actually do before changing a single page.
Measure the answer pattern before rewriting the page.
Bring the service, the market, and the questions buyers ask. I will show what the systems repeatedly do with them.
Start measurement