# Accuracy disclosure: a census of 115 listings

> Source: CitedIndex — https://citedindex.com/blog/hallucination-disclosure-census (sourced research)
> By CitedIndex Editorial · Published 2026-09-05 · Updated 2026-09-10

_22 of 115 listings answer yes for “Accuracy disclosure”. Counted from our own datasheet, with the query that reproduces every figure._

## Accuracy disclosure, across 115 settled listings

Of the 115 Published listings whose datasheet settles “Accuracy disclosure”, the largest group is “Not established” at 41 (36%). Measured 2026-09-09.

| Listings | Count | Share of 115 |
| --- | --- | --- |
| Yes | 22 | 19% |
| Qualified | 28 | 24% |
| No | 22 | 19% |
| Does not apply | 2 | 2% |
| Not established | 41 | 36% |

Denominator: 115 Published listings whose datasheet settles “Accuracy disclosure”. Method: Counted from the stored datasheet answer for “Accuracy disclosure” across every Published listing, all of which have a recognised stored answer on that row.

## The population

115 listings in this index are Published. This is the population as of 2026-09-09. 115 of the 115 published listings in this index carry a settled answer for “Accuracy disclosure”. That row asks: Does the vendor publish a margin of error? Every listing in the index is settled on this row, so nothing is left out.

## Findings

1. 22 of the 115 settled listings answer “Yes” for “Accuracy disclosure”. That is 19% of the settled set.

2. 28 of the 115 settled listings answer “Qualified” for “Accuracy disclosure”. That is 24% of the settled set.

3. 22 of the 115 settled listings answer “No” for “Accuracy disclosure”. That is 19% of the settled set.

4. 2 of the 115 settled listings answer “Does not apply” for “Accuracy disclosure”. That is 2% of the settled set.

5. 41 of the 115 settled listings answer “Not established” for “Accuracy disclosure”. That is 36% of the settled set.

1 of those yes answers is First Page Sage, which still answers yes for “Accuracy disclosure”. Its [listing](/first-page-sage) carries the stored answer and links to [the source recorded for it](https://firstpagesage.com/fps-geo-case-study-digital-verification/). This is one worked example, not an independent audit of every source in the census.

## What we counted, and how

Each figure above is a count over the “Accuracy disclosure” row of the listing datasheet, taken from the same stored answer the listing page renders. The denominator is the 115 listings whose answer is settled, meaning one of yes, qualified, no, does not apply, not established. On this row that is the whole index, because every listing has a recognised stored answer. Every number here is stored with the read-only query that reproduces it and re-run every sixty seconds against the live corpus, so a figure that stops reproducing surfaces as drift rather than as a stale sentence nobody notices. Our full method covers how a datasheet row is settled in the first place.

## Limitations

This counts stored datasheet answers, not independently tested capabilities. A sourced answer can record a vendor statement or our reading of published evidence; this census does not re-fetch those sources. “Not established” means we have not established an answer. That can reflect vendor nondisclosure, blocked evidence, or unfinished research, not a no. An absent or unrecognised answer is excluded rather than treated as a researched finding. The figures are restated when the stored corpus changes; the date above is the count used for this published version, not a new verification of the vendors.

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Tags: data-report, census