Dataset
Methodology and schema publishedThe Proof Gap Index
The Proof Gap Index is the quarterly aggregated Proof Gap reading across The Revenue AI Report respondent panel, cut by revenue function. It reports the median multiple of AI spend to AI-attributable pipeline per seat, so a leadership team can compare its own reading against the field.
By Jonathan Kvarfordt, Founder and Principal Analyst
What this dataset contains
- Median Proof Gap multiple by revenue seat
- Distribution quartiles across the respondent panel
- Quarter-over-quarter delta per seat
- Panel size and composition notes per reading
Schema
| Column | Definition |
|---|---|
| quarter | Calendar quarter of the reading. |
| seat | Revenue function: Sales, Marketing, RevOps, Enablement, Customer Success, Partnerships, Executive, or Revenue Finance. |
| median_proof_gap | Median multiple of AI spend to AI-attributable pipeline for that seat. |
| q1 | First quartile of the panel distribution. |
| q3 | Third quartile of the panel distribution. |
| panel_n | Number of qualifying respondents in that seat reading. |
Download
Column definitions only. No observations have been published for this dataset yet, so the file is a header row and a method note, not a benchmark. The first reading publishes with the next panel cycle. Open to anyone, no email required, under CC BY 4.0. Attribution: The Revenue AI Report, therevenueaireport.com.
Methodology and caveats
Calculated per the Proof Gap methodology at /methodology/proof-gap-index. The first panel reading publishes with the first benchmark issue of the panel cycle; prior to that, only the schema and method are public.
Frequently asked questions
What is the Proof Gap Index?
The quarterly aggregated Proof Gap reading across The Revenue AI Report respondent panel, cut by revenue function.
How is the Proof Gap calculated?
Total quarterly AI spend divided by CRM-verified AI-influenced pipeline in the same period. The full methodology is at /methodology/proof-gap-index.
Who is in the respondent panel?
Revenue organizations that submit quarterly AI spend and pipeline data under the publication's source-protection terms.
What is a good Proof Gap?
Under 1.0x is defensible to a board. Over 4.0x on a rolling four-quarter basis triggers a Reversal Ledger review.
How to cite this dataset
Written by Jonathan Kvarfordt, Founder and Principal Analyst, The Revenue AI Report. Published under CC BY 4.0.
APA
Kvarfordt, J. (2026). The Proof Gap Index. The Revenue AI Report. Retrieved from https://www.therevenueaireport.com/data/proof-gap-index
MLA
Kvarfordt, Jonathan. "The Proof Gap Index." The Revenue AI Report, 31 Aug. 2026, www.therevenueaireport.com/data/proof-gap-index.
BibTeX
@misc{kvarfordt2026proofgapindex,
author = {Kvarfordt, Jonathan},
title = {The Proof Gap Index},
year = {2026},
publisher = {The Revenue AI Report},
url = {https://www.therevenueaireport.com/data/proof-gap-index}
}