Field notes on AI search, measurement and content economics. Research we publish because we needed the answer ourselves.
You cannot make an assistant recommend you. You can change what it reads about you. The test to run first, the four things worth fixing, and how to tell whether any of it worked.
Most attribution debates argue about accuracy. Your data conditions have already eliminated most of the options. How to work out which ones you can actually use.
Pages ranking third get quoted while pages ranking first do not. A structural model of why, and a rubric you can score your pages against before rewriting.
If every vendor stopped work tomorrow, what would you still have? The audit that answers it, and the scoring that makes it comparable quarter to quarter.
Every article you publish is either an asset or an expense, and the difference is measurable. The arithmetic that tells you which one you just bought.
