We measure ourselves before we sell the fix
Am I Recommended? began with no measured recommendation visibility in its original benchmark. We preserved that starting point, improved the public representation of the business, then ran a controlled comparison. The first movement is now measurable.
The starting point stays frozen
Then the first measurable movement appeared
In a later clean comparison, OpenAI surfaced Am I Recommended? in four of five Discovery & shortlist questions.
What we are willing to publish
We improved the clarity, consistency and public corroboration around the business, then compared recommendation visibility again. That is enough to show that measurable movement is possible.
We do not publish the exact source correlations, detailed question taxonomy, provider configuration, internal weighting, intervention sequence or other research that could be copied as a competing implementation playbook.
What the comparison taught us
What customers get — and what remains our IP
Customers receive their measurement record, the relevant competitive evidence, reviewed gaps and prioritised next steps. They do not need our private research dataset or the exact rules we use to turn recurring evidence into an investigation priority.
Why the baseline still matters
Later comparisons only mean something if the starting point is preserved. We keep enough internal provenance to make controlled comparisons without publishing the full configuration publicly.
A later result still does not prove that one particular intervention caused the change: provider variability and changes elsewhere on the public web can also affect results.